value: abuskorea

value:
I'm an iOS developer with 20+ years of experience (since iPhone 3GS era). Using Cursor Pro at $20/month, I solo-developed and launched a global dating app on both App Store and Google Play in 100 days.
THE APP
WeConnect - 18 language support with real-time translation
- App Store: https://apps.apple.com/us/app/weconnect-cultural-exchange/id...
- Google Play: https://play.google.com/store/apps/details?id=com.abus.wecon...
- Website: https://www.wctokyoseoul.com
TECH STACK
- Flutter (cross-platform iOS/Android)
- Supabase (backend/auth/database)
- Next.js + Vercel (admin dashboard + landing)
INTERESTING DEVELOPMENT JOURNEY
- First 70 days: No Mac, developed on Windows laptop + Galaxy S20+
- Bought used M4 Mac mini + iPhone 17 later to start iOS builds
- Push notifications: Spent days with Firebase, switched to OneSignal, then spent more days fighting Supabase JWT issues
- In-app purchases & SSO: Cursor alone couldn't solve it, had to use Claude/Gemini/Grok free tiers combined
- Design: Screenshot from Dribbble → "Make this exact UI" → 90% done
- Vietnam expansion failed: No Zalo SDK available
CURSOR PRO'S REAL VALUE
Initially got unlimited Auto mode + premium model access. Paid $20/month but effectively used $1,000+ worth. Now they've added limits (paywall after ~5 days), but core development is done and alternatives like Antigravity exist.
STORE APPROVAL
- Google Play: Approved in 1 day
- App Store: Multiple feedback rounds, barely made it through
HONEST TAKEAWAY
- Development: 100 days possible thanks to AI
- Marketing: Still a brutal red ocean
IMPORTANT DISCLAIMER
I have real experience:
- Multiple App Store #1 category rankings
- Architected 100M+ download services
- Recent Gradio AI project: 5.2k GitHub stars
YouTube videos make it seem like beginners can ship in days with vibe coding.
Reality: CS fundamentals still essential.
The more experienced you are, the more leverage you get from AI tools. Cursor feels like managing 10 tireless team members who never complain.
TRY IT OUT
User base is small so matching might be difficult, but I'd appreciate any feedback!
Personal cost: Wife handled childcare almost solo for 100 days while I coded day and night. Worth it? Ask me when marketing starts working.
Questions welcome!

value: Show HN: Built a Global Dating App in 100 Days Using Cursor ($20/Mo)

author: abuskorea


value: yusufcengiz

value:
I built a lightweight terminal component for Svelte 5.
Would love feedback, especially on performance and API design.

value: Show HN: Svelte Bash – A lightweight terminal component for Svelte 5

author: yusufcengiz


value: bryanhogan

value:
I made this web app because I wanted to learn Hiragana myself. I have used Anki a lot for language learning, but there are some things I dislike with it. I wanted a more gradual introduction of new characters. To be able to focus and get into a flow state more easily. No Spaced Repitition algorithm, instead memorise them as quickly as possible, to then be able to use them, the best way to remember things.
Instead of a binary pass/fail, every character goes through a 4-stage "session funnel" in a single sitting:
1. Matching: Simple pair matching to introduce characters and sounds.
2. Recognition: See Hiragana → Select Romaji.
3. Listening: Hear Audio → Select Hiragana
4. Writing: Hear Audio → Type the character
It's built using Svelte. A SvelteKit project but with a static build, plan is to use Capacitor to make Android and iOS versions of it.
Let me know what you think :)

value: Show HN: A simple web app to memorise Hiragana

author: bryanhogan


value: Show HN: IdeaWell – Project ideas inspired by Hacker News discussions


value: susam

value: Show HN: A minimum viable Markov gibberish generator in 32 lines of Python

author: susam


value:
I built a free advent calendar that teaches practical AI skills to small business owners—one tip per day in December.
The problem: Most AI education is either too technical (fine-tuning models, prompt engineering deep-dives) or too vague ("AI will change everything!"). Small business owners just want to know: "What can I do TODAY that saves time?"
Each day covers one specific, actionable tip that takes <15 minutes to implement. Examples: using Deep Research for competitor analysis, AI tools for graphics creation, automating customer review responses. From real customers or my personal experience.
No signup required.
https://advent.abasis.ai/
Feedback welcome—especially on which AI topics would be most useful for non-technical business owners.

value: Show HN: AI Advent Calendar – 25 practical AI tips for small business owners


value: rane

value: Show HN: Workmux – Parallel development in tmux with Git worktrees

author: rane


value: KelvinAmoaba

value: Show HN: LogDeck – Container management and logs viewer for self-hosters

author: KelvinAmoaba


value: ridwanc

value:
I threw together a small web app that lets you plug in a controller and mess around with different sensitivity and curve settings inside a simple aim trainer.
Link: https://gamepadtuner.com
Loads instantly, no download, and free to use.
It actually helped me lock in the perfect sensitivity and dynamic response curve strength for Warzone, aiming suddenly felt way more natural, like the stick was finally doing what I expected.
The goal is to hit the targets as quickly and accurately as possible, without aim-assist, to build comfort and make aiming feel natural. Your score is calculated based on accuracy and speed, and you can compare your settings and results with others on the leaderboard.
If you try it and anything feels off, shout, I’m still tweaking it.

value: Show HN: Made a quick tool to test controller stick sensitivities and curves

author: ridwanc


value: SeeYouInHelL

value:
I built an anonymous real-time chat app (think modern Omegle) from scratch — plus a bunch of built-in multiplayer mini-games — just because I thought it would be fun.
Try it here: https://guftaguu.vercel.app
What it does
• Anonymous chat:
Instantly pair with a stranger and start talking. No account, no history — everything disappears when you leave.
• Play games together:
If the conversation gets awkward (or you just want chaos), you can jump into:
Tic-Tac-Toe
Connect 4
Rock–Paper–Scissors
Dots & Boxes
Reaction-based games
…and more coming.
• Zero friction:
Just enter a display name and you're in.
A heads up (Mobile users)
The mobile UI still needs work. Games won’t run correctly unless you switch to desktop mode, so for now the best experience is on a laptop/PC.
Feedback welcome
This is very much a work in progress. There are bugs and I’d love help finding them or ideas for new features.
You can send feedback directly through the app:
1. Click “Report / Feedback”
2. Type your message
3. It shows up instantly in my Discord so I can fix things quickly

value: Show HN: Guftaguu – Anonymous Chat and Real-Time Games (No Login Required)

author: SeeYouInHelL


value: techabroad

value: Show HN: TechAbroad – Launch your global tech career

author: techabroad


value: Thought this small project i did would be fitting to post now as theres been more CSS related posts recently

value: Show HN: 360css CSS library inspired by the xbox360 dashboard


value: JosephjackJR

value: We are solving the most expensive lie in embedded systems: that you must choose between speed (fast RAM) and safety (slow disk). When the power cuts, data is lost, and mission-critical systems fail.We built Synrix, a foundational memory substrate written in C++/Rust that eliminates this trade-off. It’s designed to run perfectly on CPU-only edge devices like the Jetson Nano.This technology allows you to run a massive data footprint that far exceeds your available RAM. We successfully run a 50 Million node graph (a 48gb dataset) on an 8gb embedded device while consuming only 1.5 gb  of RAM. This breaks the memory barrier for edge AI and autonomy.Crucially, the system is ACID-Guaranteed Zero-Loss. We achieve sustained 0.40 us read latency while performing a Zero-Loss recovery even when the power is yanked. This means the audit trail for robotics and industrial SCADA, and LLM as we believe it gives persistent memory, systems is finally irrefutable.This is not research; it is ready for production. This capability eliminates the most common cause of catastrophic software failure in robotics and industrial control.We are asking the HN community to review the architecture and help us break our central promise: Can you force a data loss when the system is running?If the performance and reliability are useful for your embedded AI, robotics, or industrial projects, please check out the 5-minute demo and play around with the engine.

value: Show HN: Synrix – A Zero-Loss, Sub-Microsecond Memory Engine for Edge Compute

author: JosephjackJR


value: toon-noot

value:
This project reconstructs the Epstein email records from the recent U.S. House Oversight Committee releases using only public-domain documents (23,124 image files + 2,800 OCR text files).
Most email pages contain only one real message, buried under layers of repeated headers/footers. I wanted to rebuild the conversations without all the surrounding noise.
I used an OCR + vision-LLM pipeline to extract individual messages from the email screenshots, normalize senders/recipients, rebuild timestamps, detect duplicates, and map threads. The output is a structured SQLite database that runs client-side via SQL.js (WebAssembly).
The repository includes the full extraction pipeline, data cleaning scripts, schema, limitations, and implementation notes. The interface is a lightweight PWA that displays the reconstructed messages in a phone-style UI, with links back to every original source image for verification.
Live demo: https://epsteinsphone.org
All source data is from the official public releases; no leaks or private material.
Happy to answer questions about the pipeline, LLM extraction, threading logic, or the PWA implementation.

value: Show HN: Epstein's emails reconstructed in a message-style UI (OCR and LLMs)

author: toon-noot


value: rishitchat

value:
Coding tests filter resumes but don't test real skills. Take-homes take forever.
Built Work Simulation AI a realistic work environment with AI teammates, AI chat and actual tasks to evaluate devs properly.
https://worksimulation.ai

value: Show HN: Work Simulation for developer evaluation instead of DSA and take-homes

author: rishitchat


value: Enjoyooor

value:
Hey,
My name is Benjamin and as many developers, I was tired to not succeed my technical interviews, for any reasons.
I made SharpSkill in order to change that.

value: Show HN: Helping Developers to Deliver More Value in Tech ITW

author: Enjoyooor


value: surrTurr

value:
Hi HN!
Learning Kanji is really hard and so I built a game called "Beat Kanji" to make it more fun!
In the game you can:
- Practice Kanji strokes to the beat
- Massive Library: Over 2000 Kanji (N5-N1), plus Hiragana and Katakana.
- Instant Feedback: Get real-time scoring on every stroke you draw.
- Great Music: A variety of fun tracks to keep you in the flow.
- iPad Ready: Full Apple Pencil support for a natural writing experience.
The game is completely free and open source! Let me know what you think ^^
Links:
- [App Store](https://apps.apple.com/lv/app/beat-kanji/id6756133868)
- [GitHub](https://github.com/AlexW00/Beat-Kanji)

value: Show HN: Beat Kanji – Rhythm Game for Learning Japanese Kanji (iOS)

author: surrTurr


value: marconae

value: Show HN: MCP and workflow for spec-driven development with Claude Code

author: marconae


value: Show HN: Region-aware phone number generator in TypeScript (runs in browser)


value: leumon

value: I recently tried the desktop app Handy (handy.computer) and found it working quite well, so I decided to port the concept to Android.<p>Since I use GrapheneOS, I was also missing the "Live Caption" feature from stock Android, so I implemented that too. It runs entirely offline, no data leaves the device.

value: Show HN: Open-source, offline voice typing and live captions for Android

author: leumon


value: renbuilds

value:
I built DomainOptic after almost shipping my Stripe key in a production bundle.
It runs 6 checks in a few seconds:
* SSL Certificate - validity, expiration, protocol - DNS Health - SPF, DKIM, DMARC (email spoofing protection)
* Security Headers - CSP, HSTS, X-Frame-Options
* Blacklist Status - spam/malware list checks
* Secret Scanner - finds leaked API keys in public JS bundles (AWS, Stripe, Firebase, etc.)
* Ghost API Hunter - exposed Swagger docs, GraphQL endpoints, debug routes
Every scan gets A+ to F grades with plain English explanations as to why you'd care.
The last two are the differentiators, most SSL checkers exist, but few tools passively scan your frontend for shipped secrets or forgotten /api endpoints.
Looking for feedback on false positive rates and what other checks would be useful.

value: Show HN: DomainOptic – Free Web Security audit that scans what other tools miss

author: renbuilds


value:
Hey HN!
We just launched open sign up on Buildstash. It's a platform for managing and sharing software binaries.
I'd worked across game dev, mobile apps, and agencies - and found every team had no real system for managing their built binaries. Often just dumped in a shared folder (if someone remembered!). No system for versioning, keeping track of who'd signed off what when, or what exact build had gone to a client, etc.
Existing tools out there for managing build artifacts are really focused on package repository management. But miss all the other types of software not being deployed that way.
That's the gap we seen for Buildstash. It's for organizing and distributing software binaries targeting any and all platforms, however they're deployed.
And we've really focused on the UX and making sure it's super easy to get setup - integrating with CI/CD or catching local builds, so accessible even the smallest teams can get easily up and running.
For mobile apps, it'll handle integrated beta distribution. For games, it has no problem with massive binaries targeting PC, consoles, or XR. Embedded teams who are keeping track of binaries across firmware, apps, and tools are a perfect fit.
We launched the product Monday and then another feature every day this week -
Today we announced Portals - a custom-branded space you can host on your website, and publish releases or entire build streams to your users. Think GitHub Releases but way way more powerful. Or even think about any time you've seen some custom-built interface on a developers website for finding past builds by platform, looking through nightlies, past releases etc - Buildstash Portals can do all that out the box for you, customizable in a few minutes.
Here's a demo video - https://youtu.be/t4Fr6M_vIIc
and launch week page - https://buildstash.com/launch-week

value: Show HN: Buildstash – Organize, share, and distribute your software binaries


value: ViktorKuz

value:
I’ve been experimenting with long-term memory architectures for agent systems and wanted to share some technical results that might be useful to others working on retrieval pipelines.
Benchmark: LoCoMo (10 runs × 10 conversation sets) Average accuracy: 80.1% Setup: full isolation across all 10 conv groups (no cross-contamination, no shared memory between runs)
Architecture (all open weights except answer generation)
1. Dense retrieval
BGE-large-en-v1.5 (1024d)
FAISS IndexFlatIP
Standard BGE instruction prompt: “Represent this sentence for searching relevant passages.”
2. Sparse retrieval
BM25 via classic inverted index
Helps with low-embedding-recall queries and keyword-heavy prompts
3. MCA (Multi-Component Aggregation) ranking A simple gravitational-style score combining:
keyword coverage
token importance
local frequency signal MCA acts as a first-pass filter to catch exact-match questions. Threshold: coverage ≥ 0.1 → keep top-30
4. Union strategy Instead of aggressively reducing the union, the system feeds 112–135 documents directly to a re-ranker. In practice this improved stability and prevented loss of rare but crucial documents.
5. Cross-Encoder reranking
bge-reranker-v2-m3
Processes the full union (rare for RAG pipelines, but worked best here)
Produces a final top-k used for answer generation
6. Answer generation
GPT-4o-mini, used only for the final synthesis step
No agent chain, no tool calls, no memory-dependent LLM logic
Performance
<3 seconds per query on a single RTX 4090
Deterministic output between runs
Reproducible test harness (10×10 protocol)
Why this worked
Three things seemed to matter most:
MCA-first filter to stabilize early recall
Not discarding the union before re-ranking
Proper dense embedding instruction, which massively affects BGE performance
Notes
LoCoMo remains one of the hardest public memory benchmarks: 5,880 multi-hop, temporal, negation-rich QA pairs derived from human–agent conversations. Would be interested to compare with others working on long-term retrieval, especially multi-stage ranking or cross-encoder heavy pipelines.
Github: https://github.com/vac-architector/VAC-Memory-System

value: Show HN: Change the model. Same output. The pipeline decides. VAC Memory System

author: ViktorKuz


value: Show HN: Argly – Turn your iPhone/iPad into a remote for your Mac [over WiFi]


value: mickfoly

value:
I built LuxReviewPro, an AI-driven review automation system for Shopify stores.
The goal: give store owners a complete end-to-end review engine that increases conversions without manual work.
Core AI Features
 • AI Review Summary Generator
 • AI Sentiment Analysis
 • AI Fake-Review Detection
 • AI Auto-Replies
 • AI Review Optimizer
Automation Engine
 • Auto review request emails
 • Auto publish high-rated reviews
 • Auto flag suspicious reviews
 • Auto translate reviews
 • Auto A/B test widgets
Analytics Suite
 • Review growth tracking
 • CTR and conversion influence
 • Product-level sentiment graph
 • Performance metrics dashboard
Widgets
 • Carousel widget
 • Popup widget
 • Sidebar widget
 • Photo-review widget
 • One-click embed system
Imports
 • CSV
 • Judge.me
 • Loox
 • AliExpress/Amazon
Why I Built This
Existing review apps are expensive and outdated.
LuxReviewPro is a modern AI-native review automation tool built as a proper SaaS.
What I’m Looking For
 • Feedback
 • Collaboration
 • Acquisition interest
Happy to share metrics, code structure, or demo privately.

value: Show HN: Shopify app devloped ,check feature Lists

author: mickfoly


value: shanital

value: Show HN: Captain Hook AI – Create Viral Hooks for Social Media

author: shanital


value: xmasdong

value:
Hi HN — I owned the domain dailygame.online and wanted to build something small that could eventually make money, but I didn’t have a clear idea at first. Around the same time GPT-5.2 came out, so I treated this as an experiment: can I ship a playable “daily games” site quickly if I use GPT-5.2 as a pair programmer?
I started by giving one strict constraint: no flashy UI. The homepage should be a tiny centered box (ASCII/terminal-like) listing “Today’s Daily Games”.
Then I had GPT-5.2 implement the site end-to-end and I iterated like a normal dev loop (build → run → report concrete issues → request minimal diffs → repeat). The result is a small hub with multiple games: a Wordle-like daily word game, a Christmas variant, 2048, a Connections-style logic puzzle, an emoji quiz, and a geography clue quiz.
What I asked it to do over time (in order):
- scaffold the Next.js project + minimal homepage + first playable daily word game
set up Git remote and push to GitHub
- add SEO basics (sitemap/robots/structured data + small footer copy)
- add a Christmas game to capture seasonal interest
complete the other mini-games (2048 / Connections / Emoji Quiz / Geo Quiz)
- fix real bugs and UX problems I found while testing (touch swipe issues, SSR hydration mismatch from randomness, up/down key mapping, animations/feedback feeling off, “online activity” updates too frequent/unrealistic)
-add Google Analytics (gtag)
How GPT-5.2 fit in:
GPT-5.2 was the implementer/pair programmer (pages, components, game logic, animations, SEO files, fixes based on my feedback).
I acted more like product + QA (direction, UI constraints, testing, and pushing changes that feel believable for a low-traffic site).
Demo: https://dailygame.online
ok
1) Can SEO realistically drive meaningful traffic for a small daily web games site like this? If yes, what pages/keywords would you build first?
2) If you were monetizing it, would you start with ads, subscriptions (no-ads + stats), or something else?
3) Would you go “more games” or “deeper daily content” to make it sustainable?

value: Show HN: DailyGame.online – a minimal daily puzzle arcade built with GPT-5.2

author: xmasdong


value:
I built TubeDL because I was tired of sketchy web-based video downloaders with ads and malware.
It's a native macOS app (Swift/AppKit) with a clean UI wrapped around yt-dlp. Local processing only - videos never touch my servers.
Free tier: 720p, 5 downloads daily
Pro: $19 one-time (no subscription) for unlimited 4K
Looking for feedback on positioning and features. What would make this more useful?

value: Show HN: TubeDL – Native macOS video downloader built on yt-dlp


value: drkph

value:
I built an iOS app that lets you have conversations with book characters.
Two modes: "Fictional world" places you inside the story during specific events. "Real world" brings characters into our time.
Library is public domain classics for now (H.G. Wells, Jules Verne, Ayn Rand) - you can also upload your own books.
Would love feedback, especially on character accuracy and what books you'd want to see.

value: Show HN: PageSpeak – Talk to book characters in their world or ours

author: drkph


value: relunsec

value:
I built dssrf, a safe-by-construction SSRF defense library for Node.js apps.
Most existing SSRF libraries rely on blacklists or regex checks, which are easy to bypass. dssrf takes a different approach based on normalization, DNS resolution, redirect validation, and IP classification.
Key features:
– URL normalization RFC compliant
– DNS resolution + IP classification
– Redirect chain validation
– IPv4/IPv6 safety
– Rebinding detection
– Protocol restrictions
– TypeScript types included
The goal is to eliminate entire classes of classic SSRF vulnerability and it bypasses rather than patching individual payloads.
GitHub: https://github.com/HackingRepo/dssrf-js
npm: https://www.npmjs.com/package/dssrf
I love feedback, edge cases, and contributions from the community.

value: Show HN: Dssrf – A safe‑by‑construction SSRF defense library for Node.js

author: relunsec


value: Detrol

value:
I built a CLI tool to orchestrate structured debates between LLMs. The goal is to reduce hallucinations and bias by forcing models to critique each other before reaching a consensus.
It supports a hybrid setup: you can have your local Ollama models debate against GPT-5.2 or Claude 4.5.
Key Features:
- Local-first: Auto-discovers Ollama models (Llama 3.3, Mistral, etc) with zero config.
- Method Advisor: Press Tab to analyze your prompt. A meta-agent will recommend the best debate method (e.g. "Oxford Debate" for binary choices or "Delphi" for forecasting).
- 7 Built-in Methods: Includes Devil's Advocate, Brainstorming, and Socratic dialogue.
It uses a React-based TUI for a modern terminal experience.
License: BSL 1.1 (free for personal/internal use).
Repo: https://github.com/Detrol/quorum-cli

value: Show HN: Quorum – Multi-agent CLI debates (AutoGen back end and React/Ink TUI)

author: Detrol


value: ratchetclank

value:
Hey HN, I officially launched yesterday my new open source diagram as code tool. It allow to define network diagrams with YAML code and render them on the fly as SVG, with support for icons from many vendors to be able to represent real life networking needs.
I tried using mermaid or vizgraph but their lack of web-local rendering and lack of vendor icon pack made it hard to use for my network documentation usage.
I based myself uppon the work of a now defunct project : drawthe.net and tried to make ip more flexible and responsive and ended up rewriting most of the codebase
It's still a young tool in my eyes, so if you find any bugs or improovement idea, let me know either in the github (https://github.com/remygrandin/drawthenet.io) or here in the comments bellow.

value: Show HN: A diagram a code rendering tool for network documentation

author: ratchetclank


value: Grieverheart

value: Some years back I was working on a medical imaging project and was frustrated by the lack of available tools for segmentation that are simple to use and fast. Because of this frustration I started working on a medical image segmentation software with a focus on performance and simplicity. It's still early in development but I decided to release an early alpha version and hopefully get some feedback from anyone that might be working in a relevant field. There are several directions I could take, but what would be the minimal set of features that would make this tool useful for you? Any feedback is welcome!

value: Show HN: Radiotron (alpha) a Fast Medical Segmentation and Visualization Tool

author: Grieverheart


value: Show HN: CyberLoop – A control-loop architecture for stable LLM agents


value: maxpert

value:
Marmot hits major milestone I've been solo pushing (with help of AI), to really mature out the system. And yesterday I have hit the first milestone where MySQL API is stable enough to make WordPress install and work flawlessly. System is now in a place where you can spin off a cluster, and then spin off many replicas you want to scale out.  I wanted to build something that is actually hard with AI, and it's been long and tough journey trying various AI tools, and huge amount of learning. I will follow up with a blog post, but since I have all the scripts to help you guys spin up cluster and examples I wanted to put it out there so that you guys can poke holes and help me improve it.
Source is available at: https://github.com/maxpert/marmot/
Most fun part is a Wordpress running in cluster: https://github.com/maxpert/marmot/tree/master/examples/wordp...
Each one of these Wordpress instances is talking to it's own "MySQL" but under the hood replication is being done and stored over SQLite DB.

value: Show HN: Marmot v2.20 – A distributed SQLite server with MySQL wire compatbility

author: maxpert


value: Mesterniz

value: Show HN: How to fix AI Agents at the component level

author: Mesterniz


value: jmcraft

value: Show HN: Flowova – Describe a process, get a flowchart (with Mermaid export)

author: jmcraft


value: attakei

value: Show HN: atsphinx-stlite – Embed Streamlit application on Sphinx document

author: attakei


value: colmtuite

value:
After two years of development (and endless bikeshedding), we’ve finally pushed Base UI v1 out the door.
Base UI is an unstyled UI library for building accessible component libraries and user interfaces with React. 35 accessible, configurable, composable, customizable components with a focus on a11y.
Base UI is already in production at startups like Paper, Zed, and Unsplash, and being trialled by larger companies like GitHub and Vercel. There is a growing community of open-source libs built on top of it, such as Coss UI, Basecn, 9UI, and Pure UI.
Since Base UI doesn’t bundle any styles, it plays nice with Tailwind, CSS Modules, CSS-in-JS, plain CSS, or whatever styling solution you prefer. It also works with JavaScript animation libraries like Motion, or just plain CSS transitions.
The project is backed by MUI (who are profitable and UI-focused), and maintained by a full-time team of 7 engineers, designers, and managers.
https://base-ui.com

value: Show HN: Base UI v1.0 Unstyled UI Components from the Creators of Radix and MUI

author: colmtuite


value: nodeEHRIS

value:
I’ve been experimenting with a way to run stateless language models inside a persistent local runtime.
Problem:
Context windows are ephemeral. Swapping or upgrading a local model discards accumulated memory and identity.
Approach:
Treat the model strictly as a stateless inference engine.
All continuity (memory, identity, recall) lives outside the model as structured, append-only events managed by the runtime.
At a high level:
- Model-agnostic: swap local models mid-conversation without losing continuity
- Explicit memory: all memory is written as structured events, not hidden states
- Deterministic recall: context is assembled via a visible, inspectable pipeline before inference
- Full observability: inspect exactly what the model sees on each turn
- Local-first execution, no cloud dependency
I wrote a small reference specification focused on structure rather than implementation details:
https://github.com/NodeEHRIS/node-spec
Short demo (12s) showing persistent memory across a local model swap:
https://www.youtube.com/watch?v=ZAr3J30JuE4
This is intentionally minimal and early.
I’m mainly interested in feedback on architectural tradeoffs and where this breaks down compared to RAG, long-context approaches, or agent frameworks.

value: Show HN: A local runtime for stateless LLMs with persistent memory

author: nodeEHRIS


value: daviducolo

value: Show HN: GitHug – Find your code mate

author: daviducolo

title: Show HN: GitHug – Find your code mate


value: thebrokenway

value:
I'm a combat veteran living paycheck to paycheck with no computer science degree. I built an AI system that benchmarks 60x faster than industry leaders.
Real benchmarks (Dec 12, 2025):
- 3.43ms response time (vs 50-200ms industry average)
- 337 queries/second (vs 50-150)
- 0% error rate, 100% uptime
- Constitutional AI with 1,235 specialized "brains"
Built it in 3 weeks. 4 U.S. patents pending.
Full story + independent benchmarks: https://thebrokenwayfoundation.org
Not asking for money. Just need technical validators to verify this is real.

value: Show HN: AI system 60x faster than ChatGPT – built by combat vet with no degree

author: thebrokenway


value: emarboeuf

value:
I built a tool that simulates focus group research using AI-generated personas. Enter your startup URL or pitch and get:
ICP (Ideal Customer Profile) candidates with confidence scoring
40 synthetic participants across fit levels (Core, Strong, Peripheral, Non-ICP)
Simulated interview responses using a 6-pillar questionnaire framework
Analysis and executive summary with strategic recommendations
The whole process takes ~5 minutes instead of weeks of recruiting and scheduling.
On methodology: I'm aware of the research showing synthetic participants don't fully replicate real human responses. To mitigate this, I implemented techniques from recent papers on reducing LLM persona simulation bias—diverse demographic anchoring, response calibration against known survey data, and explicit uncertainty modeling.
It's not perfect, but it's designed to surface directionally useful signals rather than false precision.
Important caveat: This accelerates early validation—it doesn't replace real customer conversations.
Use these insights to prioritize which segments to validate first and form better hypotheses before investing in traditional qualitative research.
Built with: Next.js, FastAPI, LangGraph, GPT-5.1/Claude Opus 4.5
Curious what HN thinks about the output quality and where it falls short.

value: Show HN: Help validate startup ideas with synthetic customer interviews

author: emarboeuf


value: kaizenb

value: Nothing fancy. Bookmarker is a simple, browser-based app for managing bookmarks. Save links, create collections, pin items, search your knowledge base quickly.<p>Still in beta, would be great to hear your thoughts so I can make it better.

value: Show HN: Bookmarker – Save links, organize your knowledge

author: kaizenb


value: iOS app size analyzer with LinkMap parsing, asset tracking, and module ownership. Generate interactive reports for App Store optimization and CI/CD integration.

value: Show HN: Caliper – iOS App Size Analyzer


value: HigherMathHelp

value: Show HN: A zero-to-hero, spaced-repetition guide to WebGL2 and GLSL

author: HigherMathHelp


value: Self-hosted backend for side projects. Key/value store + Event API + Admin dashboard. One PHP file, no Composer, no containers.

value: Show HN: SlimStorage – Self-hosted back end key/values, events store


value: AndyNemmity

value:
I have been seeing posts about what people build with claude code, so I wanted to see what I could build in a week.
I have my own custom setup of agents, skills, routers, and stuff I use.
It's not done, there's still a lot to work on, but I wanted to share it at this stage, so you can see what a week of effort looks like. At least my effort.

value: Show HN: A week of progress making a game in Claude Code without any coding

author: AndyNemmity


value: hfmsio

value:
What started as a Claude Code experiment turned into a browser-native SQL workbench I now use daily.
Runs DuckDB WASM entirely in your browser. No backend, no installation, no signup.
- Query local files (CSV, Parquet, Excel) – data never leaves your machine
- Handles 100M+ rows, 50GB+ files in a browser tab
- Full UI: Monaco editor, schema explorer, spreadsheet-style results grid
- Share SQL via URL – anyone can run your query instantly
- BigQuery connector built-in (Snowflake coming)
v0.2 – actively developing. Feedback welcome.
GitHub (MIT): https://github.com/hfmsio/dbxlite

value: Show HN: Dbxlite – Query 100M+ rows in a browser tab, no install

author: hfmsio


value: joouha

value:
I modified my terminal Jupyter client, euporie [1], to run using pyodide in the browser.
It's akin to JupyterLite, providing a temporary online Python notebook environment without the need to install any Python packages. It's potentially useful if you need to do a bit of quick interactive work in Python, but don't have the environment set up ready to do so.
Since actual jupyter kernels can't run in pyodide (they run as subprocesses and communicate over ZMQ), it uses an in-process Python kernel which runs on the same interpreter as the application itself.
Notebooks and files can be saved persistently to a local-storage based file system. It uses xterm.js as the terminal emulator (though I'm keen to test out ghostty-web).
[1] https://news.ycombinator.com/item?id=27091167

value: Show HN: Euporie-lite, Jupyter notebooks in terminal in the browser

author: joouha


value:
Prepend tomcp.org/ to any URL to instantly turn it into an MCP server.
You can either chat directly with the page or add the config to Cursor/Claude to pipe the website/docs straight into your context.
Why MCP? Using MCP is better than raw scraping or copy-pasting because it converts the page into clean Markdown. This helps the AI understand the structure better and uses significantly fewer tokens.
How it works: It is a proxy that fetches the URL, removes ads and navigation, and exposes the clean content as a standard MCP Resource.
Repo: https://github.com/Ami3466/tomcp (Inspired by GitMCP, but for the general web)

value: Show HN: tomcp.org – Turn any URL into an MCP server


value: chrisbigelow

value: Show HN: Roadhog – roadmaps, open issues and release notes with PostHog built in

author: chrisbigelow


value:
USCIS forms still use XFA PDFs, which don’t let you edit in most browsers. Even with Adobe, fields break, and getting the signature is hard.
So I converted the PDF form into modern, browser-friendly web forms - and kept every field 1:1 with the original. You fill the form, submit it, and get the official USCIS PDF filled.
What Fillvisa does:
- Fill USCIS forms directly in your browser - no Adobe needed
- 100% free
- No login/account required
- Autosave as you type
- Local-only storage (your data never leaves the browser)
- Clean, mobile-friendly UI
- Generates the official USCIS PDF, ready to submit
- Built-in signature pad
It’s free to use, and I’m actively improving it. If you try a form, I’d love your feedback.

value: Show HN: Built a free USCIS form-filling tool (no Adobe required)


value:
Hi HN,
Over the last week I’ve been iterating on a small workflow tool I needed for myself, and wanted to share it here to get feedback from people who work with multi-repo setups.
Problem:
I work across a lot of local git repositories (side projects, config folders, experiments, microservices) and kept losing track of which ones were dirty, ahead/behind, or needed attention. Running git status in 15 folders every morning wasn’t sustainable.
Solution:
I built git-scope, a small TUI that shows the git status of all local repos in one screen. It starts fast (~10ms), auto-discovers repos, and updates status without needing to cd around.
Current features:
recursive repo discovery
dirty / clean / ahead / behind indicators
fuzzy search
jump into repo directory or editor
Vim-style navigation
fast startup (Go + Bubble Tea)
Upcoming features:
per-repo disk usage
lightweight contribution activity graph
timeline of recent modifications
optional repo grouping
Repo: https://github.com/Bharath-code/git-scope
Website: https://bharath-code.github.io/git-scope/
Demo GIF:
https://github.com/Bharath-code/git-scope/raw/main/docs/git-...
I’d appreciate feedback on:
performance considerations
how people structure larger Bubble Tea TUIs
ergonomics/UI improvements
whether this fits into real multi-service or monorepo workflows
Happy to answer any questions. Thanks for reading!

value: Show HN: Git-scope – Fast TUI for viewing Git status across many repos


value: svendson

value:
I built Nymia (Fantasy Name Gens): https://fantasynamegens.com/
The problem it targets is small but persistent: naming breaks flow. I can design systems, write lore, or prep a session—then I need a believable name for a character/NPC/town/faction and suddenly I’m stuck. In TTRPGs it’s worse: players ask for the name of the one NPC you invented 10 seconds ago.
Nymia is a lightweight, no-login site to generate fantasy-style names quickly. My goal isn’t “perfect names”, but fast inspiration so you can pick a few, tweak them, and keep moving.
Who it’s for
Writers/worldbuilders: character & place naming
TTRPG DMs/GMs: on-the-fly NPCs, taverns, towns
Indie devs: better placeholders than NPC_03 / Village_02
How I use it
Generate a batch → pick 2–3 → edit for pronunciation/vibe → continue writing/building.
Questions / feedback I’d love
What do you struggle naming most (people / places / factions / items)?
Do you prefer pronounceable names or more “exotic” ones?
Any features you’d want next (filters by style, favorites, export, “consistent culture” sets)?
Thanks for taking a look—happy to answer questions and iterate based on feedback.

value: Show HN: Nymia–a lightweight fantasy name generator

author: svendson


value: Show HN: ESLint Plugin for styled-jsx

title: Show HN: ESLint Plugin for styled-jsx


value: theturtletalks

value:
I'm building an open source Amazon.
In other words, an open source decentralized marketplace. But like Carl Sagan said, to make an apple pie from scratch, you must first invent the universe.
So first I had to make open source management systems for every vertical. I'm launching the first one today, Openfront e-commerce, an open source Shopify alternative. Next will be Openfront restaurant, Openfront grocery, and Openfront gym.
And all of these Openfronts will connect to our decentralized marketplace, "the/marketplace", seamlessly. Once we launch other Openfronts, you'll be able to do everything from booking hotels to ordering groceries right from one place with no middle men. The marketplace simply connects to the Openfront just like its built-in storefront does.
Together, we can use open source to disrupt marketplaces and make sure sellers, in every vertical, are never beholden to them.
Marketplace: https://marketplace.openship.org
Openfront platforms: https://openship.org/openfront-ecommerce
Source code: https://github.com/openshiporg/openfront
Demo - Openfront: https://youtu.be/jz0ZZmtBHgo
Demo - Marketplace: https://youtu.be/LM6hRjZIDcs
Part 1 - https://news.ycombinator.com/item?id=32690410

value: Show HN: I'm building an open-source Amazon

author: theturtletalks


value: qhkm

value:
As local AI agents increasingly run shell commands directly on developer machines, a single bad rm -rf can wipe out hours of work.
I built SafeShell, a small tool that makes destructive shell operations reversible.
Before a command runs, SafeShell creates a lightweight filesystem checkpoint. If the agent deletes or modifies the wrong files, you can roll back instantly.
Example:
rm -rf ./build
safeshell rollback --last
Key details:
No sandbox, VM, or container
No root access required
Uses hard links (fast, no data copying)
Compressed snapshot history
Single Go binary (macOS & Linux)
MCP support for agent-driven checkpoints
It’s meant to be a native safety layer for local AI agents, not a restriction mechanism.
Repo: https://github.com/qhkm/safeshell
Curious how others are handling filesystem safety for local agents, especially outside of containers.

value: Show HN: SafeShell – reversible shell commands for local AI agents

author: qhkm


value: sebasjimenezv

value:
I built a small tool to create, share, and install AI configuration files for different tools.
The goal is to make AI setups reproducible and easy to share across machines, similar to how people manage dotfiles.
This is a fun side project I built for myself and decided to share. Feedback welcome.

value: Show HN: Share and install AI configurations with a single command

author: sebasjimenezv


value: zats

value: Show HN: ChatGPT in Review - personal analytics dashboard for my ChatGPT history

author: zats


value: nykodev

value:
A week ago I posted CatalystAlert here and someone asked about the AI version.
It's done.
*What's new in V2:*
1. *ML Impact Predictor* (XGBoost)
   - Trained on 448 historical catalyst patterns (2015-2025)
   - Direction accuracy: 76.67%
   - Magnitude MAE: 3.09%
   - Top features: catalyst_type (0.649), price_momentum_30d (0.149), volatility_30d (0.110)
2. *Likelihood of Approval (LOA) scores*
   - Random Forest model
   - Based on phase, indication, company track record
3. *Optimal Entry Predictor*
   - Suggests when to enter before a catalyst
   - Analyzes pre-catalyst price patterns
4. *Smart Money Score* (-100 to +100)
   - Combines SEC Form 4 insider trades + 13F institutional holdings
   - Flags unusual activity near catalyst dates
5. *Auto-retraining*
   - Weekly cron job retrains models
   - Drift detection triggers retraining if accuracy drops
*Technical details:*
- ML Service: Python FastAPI + XGBoost/Random Forest
- Training data: 1,884 catalysts, 490K stock price rows, 727 tickers
- Deployed on VPS with Docker Compose
- Models stored in Docker volume, hot-reloaded
*What stayed free:*
- 992 companies, 2,192 drugs, full catalyst calendar
- SEC insider filings, EMA Europe coverage
- Twitter bot posts movers 3x daily (@catalystalert)
The class distribution in training data is skewed (73.7% positive outcomes)
which inflates accuracy. Working on balancing techniques.
Questions I'm wrestling with:
- Is 76% accuracy actually useful for trading decisions?
- Should I open-source the ML pipeline?
- What would make the predictions more trustworthy?
Original post: https://news.ycombinator.com/item?id=46189127
catalystalert.io

value: Show HN: CatalystAlert V2 – Added ML pred to my free biotech catalyst tracker

author: nykodev


value: tinyBigGAMES

value:
Ever dreamed of having your own programming language stripped of all the accumulated complexity? Something minimal and focused, just the essential tools you actually need. Inspired by Oberon, I wanted seamless access to the entire C/C++ ecosystem. No wrapper libraries. No tedious bindings. No friction. Just point it at any C or C++ library and use it. Mix both languages freely in the same source file if you want. For the longest time, it was just a dream. So, I built it.
Myra transpiles to C++23 and compiles to native executables via Zig's bundled clang. It has 45 keywords and 9 built-in types. The core philosophy is "if it's not Myra, it's C++." You can mix in C++ two ways: inline within expressions and statements, call std::cout << "hello", use static_cast<int>(x), invoke raylib or ImGui directly, or use #startcpp / #endcpp blocks for unrestricted C++ like #include directives. No FFI layer, no marshalling.
Ships self-contained: Zig toolchain, LLDB debugger, raylib, and a preconfigured VSCodium. Unzip and it works.
First public alpha. Happy to answer questions about the design, the transpilation approach, or the journey to get here.

value: Show HN: Myra – Oberon-inspired language, transpiles to C++23 via Zig

author: tinyBigGAMES


value: wirehack

value:
Hi HN! We are Klavis AI (https://www.klavis.ai/) and we are launching a managed MCP Sandbox-as-a-Service for RL training on tool use.
If you want a model to learn tool use through RL, you need realistic environments where the model can take actions, you can observe the resulting state, and compute a reward. For SaaS tools, this means managing dozens of test accounts, handling OAuth and token refresh, seeding realistic data for each episode, resetting state between runs, and ensuring isolation when you're running concurrent training sessions. Most research teams spend months building this plumbing per integration.
Klavis is a managed sandbox service that handles all of that. You call our API to get an isolated sandbox backed by a real service instance (not a mock), initialize it with whatever data state you need, let your model interact via MCP, then dump the final state to compute your reward. One more API call resets everything for the next episode.
The key thing is these are real services, not static mocks. When your model creates a calendar event or updates a Salesforce record, that action actually executes against real infrastructure. The state changes are real. This matters because you want training to reflect production behavior exactly.
We currently support 50+ integrations across productivity tools (Google Calendar, Outlook, Slack), CRM (Salesforce, HubSpot), dev tools (GitHub, Jira, Linear), databases (Postgres, Snowflake), and others. We handle the account pooling, auth management, and lifecycle orchestration so researchers can focus on the actual training.
Technically, the workflow is: create a sandbox, call initialize API with a JSON payload defining your starting state, let the model interact via standard MCP tools, call dump API to get a typed snapshot of the final state, compare against your target for reward calculation, then call reset or delete. We use strict Pydantic schemas for all inputs and outputs so malformed data gets rejected immediately rather than causing silent failures mid-training.
Here is a quick demo: https://youtu.be/10C18rpCYcA.
We look forward to your comments. Thanks for reading!

value: Show HN: Managed MCP Sandbox Environments for RL Training on Tool Use

author: wirehack


value: joshcsimmons

value:
Hi HN. I'm the creator of Autism Simulator[1], a choose-your-own-adventure story. I used a library called Inkle for the CYOA logic but I really had to push the limits of the JS implementation of Inkle to get it to accomodate player stats over time (and it was fragile!).
So I've built my own CYOA adventure library.
[1] https://autism-simulator.vercel.app/

value: Show HN: Storyloom – Deterministic Storytelling Framework

author: joshcsimmons


value: sumit-paul

value:
PDF readers usually don’t help with pace or focus, so reading long documents becomes slow.
Readly uses two techniques to fix this:
RSVP reading
Shows one word at a time on a clean black screen. This removes eye movement completely and keeps your reading pace steady.
Inline spotlight reading
Adds a moving highlight bubble directly on the PDF. It guides your eyes word by word, like a focused magnifier, without breaking the document flow.
Other features
- Clean focus mode with no distractions
- Offline library and resume progress
- Custom highlight colors and themes
- Quick jumps across long PDFs
Play Store: https://play.google.com/store/apps/details?id=com.bufferlabs...
Feedback is welcome.

value: Show HN: Readly – Speed-read PDFs with RSVP and inline word highlight

author: sumit-paul


value: A tiny weekend project that lets you snap a meal photo and uses an LLM to estimate macros (with manual edits if needed)

value: Show HN: Meal Tracker – Weekend hack using LLM to get food macros from photos


value: Show HN: Run frontier models locally with single command


value: EliBaskin

value: Show HN: Building a No-Human-in-the-Loop News Agency with Claude Code

author: EliBaskin


value: henkster

value:
I wanted a notes tool that behaved like a folder of .md files, not like an “app” that needs a database, accounts, syncing rituals, and a 40-step export when you want to leave.
So I built MarkdownManager: a self-hosted Markdown viewer + editor written in plain PHP. Notes are just *.md files on disk. If the project disappears tomorrow, your notes are still there, readable by any editor.
What it does
- index.php: browse + read notes in the directory tree
- edit.php: edit notes with a live HTML preview
  - desktop: 3-pane layout (file list / Markdown / preview)
  - mobile: 2-row layout (Markdown + preview) with a toggleable file-list overlay
How to try it (no signup)
Repo: <REPO_URL>
Demo (optional): <DEMO_URL>  (if you have one; ideally read-only)
Local run:
1) git clone <REPO_URL>
2) cd markdownmanager
3) php -S 127.0.0.1:8000
4) open http://127.0.0.1:8000/index.php
What’s different (and why I bothered)
- Flat-file by design: no database, no migration story, no lock-in
- Fast browsing rules that match how I name notes:
  - newest-first when filenames start with yy-mm-dd-
  - otherwise A→Z
  - folders grouped A→Z
  - client-side filtering
- Editor UX that stays simple:
  - server-rendered preview (POST current text, get HTML back)
  - SPA-like navigation in the editor (fetch JSON with markdown + rendered HTML + extracted title; update URL with history.pushState)
  - resizable panes on desktop (saved in localStorage)
  - unsaved-changes indicator + discard prompt
- Optional “shortcuts” list via links.csv
- “Secret notes” list (secret_mds.txt) behind a lightweight session password gate (not encryption)
Technical notes
- PHP 8+ (uses str_starts_with/str_ends_with)
- Markdown rendering is a small custom PHP parser supporting a practical subset (headings, emphasis, links, fenced code blocks, tables, lists, etc.). If you need full Markdown or images, you’ll probably want to swap the parser for a library.
Security note (please read before you roast it)
This is intended for personal/self-hosted use. There’s no user management, no per-note ACL, no encryption. “Secret notes” is just a session flag + password. Don’t expose it directly to the public internet. Run it on localhost, on a LAN/VPN, and/or behind reverse-proxy auth.
I’d love feedback on:
- whether the server-rendered preview + JSON navigation approach feels sane in 2025
- sharp edges in the markdown subset
- security gotchas in the “flat file + PHP” approach
- UI/UX annoyances (especially on mobile)

value: Show HN: MarkdownManager, a flat-file PHP Markdown notes viewer/editor (no DB)

author: henkster


value: devarifhossain

value: Show HN: Shadcn/UI just dropped a huge new update

author: devarifhossain


value: nesall

value:
I built PhenixCode — an open-source, self-hosted and customizable alternative to GitHub Copilot Chat.
Why: I wanted a coding assistant that runs locally, with full control over models and data. Copilot is great, but it’s subscription-only and cloud-only. PhenixCode gives you freedom: use local models (free) or plug in your own API keys.
Use the new admin dashboard GUI to visually configure the RAG settings for multi-server management.

value: Show HN: PhenixCode – Added admin dashboard for multi-server management

author: nesall


value:
Hi HN,
I built Verani, an experimental realtime SDK for Cloudflare Actors (Durable Objects).
The goal is to bring a familiar, event-based DX (rooms, emit, channels, lifecycle hooks) to Cloudflare Durable Objects, while handling hibernation correctly.
It focuses on
- Socket.io-like semantics on top of Durable Objects
- Proper Actor hibernation handling (WebSockets survive, state is restored)
- Typed API with explicit tradeoffs.
It’s early and experimental, but functional. I built it mainly to explore DX and state management patterns on Cloudflare Actors, and I’d love feedback from people who’ve built realtime systems or used Durable Objects.

value: Show HN: Verani – Socket.io-like realtime SDK for Cloudflare


value: jerrodcodes

value:
Hi HN,
A lot of the dev teams I have worked with had a lot of issues with their documentation. In fact, some of my easiest clients to get were from clients that had "black box" solutions that devs no longer at the company had created. Personally, writing documentation is like grinding nails on a chalkboard.
I have been having a lot of fun with building solutions that can run in a distributed way, not something a dev needs to run themselves. And after a significant amount of testing and building out several different solutions, I finally have a solution that is easy to set up and runs in the background continuously to automate the documentation process.
I'm looking for feedback on a few things:
- Ease of onboarding, it should be a simple click -> select repos you want to add.
- Quality of documentation, our current free accounts have a standard model compared to premium but the concepts are the same.
- Dynamic environments: I tried to make this compatible with any random repo thrown at it.
Let me know your thoughts

value: Show HN: I built a GitHub application that generates documentation automatically

author: jerrodcodes


value: consulfedor

value: Show HN: VoiceGrab – Free voice-to-text for Windows using Groq Whisper

author: consulfedor


value: trj

value: Show HN: Tiny VM sandbox in C with apps in Rust, C and Zig

author: trj


value: Show HN: PharmVault – Secure Notes with Spring Boot and JWT


value: admtal

value:
I make web games and wanted to record demos on my phone with a face cam overlay - like you see on YouTube/TikTok gameplay videos. Couldn’t find anything that did this well, so I built Demo Scope.
It’s an iOS app with a built-in browser. Load any site, position a draggable/resizable face cam, and record. Shows touch indicators so viewers can see what you’re tapping. Also supports RTMP streaming if you want to go live.
Free to download and use, $9.99 one-time purchase to remove watermark for life.
https://demoscope.app
Would love feedback from anyone doing mobile demos or content creation.

value: Show HN: I needed to record mobile web demos with my face, so I built this

author: admtal


value:
Hi HN,
I built EdgeVec, a vector database that runs entirely in the browser. It implements HNSW (Hierarchical Navigable Small World) graphs for approximate nearest neighbor search.
Performance:
- Sub-millisecond search at 100k vectors (768 dimensions, k=10)
- 148 KB gzipped bundle
- 3.6x memory reduction with scalar quantization
Use cases: browser extensions with semantic search, local-first apps, privacy-preserving RAG.
Technical: Written in Rust, compiled to WASM. Uses AVX2 SIMD on native, simd128 on WASM. IndexedDB for browser persistence.
npm: https://www.npmjs.com/package/edgevec
GitHub: https://github.com/matte1782/edgevec
This is an alpha release. Main limitations: build time not optimized, no delete operations yet.
Would love feedback from the community!

value: Show HN: EdgeVec – Sub-millisecond vector search in the browser (Rust/WASM)


value: telui

value:
Not to be confused with the other StudioArt, StudioArt is a website where you can ACTUALLY express creativity, in a world filled with "uncensored" or corporate censoring, it can be hard to find a good website where you can express creativity, with StudioArt, you can ACTUALLY express what you love in a image, we still censor, but not too much where your ideas just.. go away<p>- What you love: We allow posting what you love!
- Your ideas: We allow your ideas!
- Tutorials: We allow that too!
- Educational content: We accept others learning!<p>All this sounds impossible, not with StudioArt!

value: Show HN: StudioArt, A photo sharing website for creatives

author: telui


value: Show HN: Spacelink – link budget / comm system modeling Python library


value: madcash

value:
Hey HN, I built this because I wanted my whole team to collaborate on AI-generated fixes, not just developers with Claude accounts.
The problem with Anthropic's new Claude Code for Slack: every user needs their own Claude Pro/Max subscription ($20+/mo), and sessions are tied to individual accounts. PM reports a bug, dev wants to add context, designer attaches a screenshot—they can't all contribute to the same thread.
This bot is different:
- One API key for the whole team (pay per use, not per seat)
- Anyone can trigger fixes, tweaks, or feature requests — no Claude account needed
- Multiple people contribute context in the same Slack thread
- Bot uses ALL that context to write the code and create one PR
- Self-hosted on your infrastructure
Stack: TypeScript, Express, Claude Code CLI, GitHub API, simple-git. Deploys to Railway (needs persistent server for Claude CLI).
Built this for my own team first—it's been running in production for a few months. Happy to answer questions about the architecture or tradeoffs.

value: Show HN: Team-first Slack bot that turns bug reports into PRs using Claude

author: madcash


value: dklepenko

value: I got tired of ASCII tables on the internet looking like they’re stuck in 1990.<p>So I built my own with a sleek dark theme, a search that accepts any input, and zero ads or other distractions.

value: Show HN: An ASCII table that doesn't hurt your eyes

author: dklepenko


value: carsoon

value:
I made an simulation where you get to be a priest in a confessional booth and different LLMs will confess mistakes they made in moral situations and you get to forgive them.
Inspired by a comment on another article
Related: Training LLMS For Honesty https://news.ycombinator.com/item?id=46242795

value: Show HN: I made an LLM confessional booth, be a priest and forgive LLMs mistakes

author: carsoon


value: Show HN: I made a grid that sizes your subscriptions by what they cost


value: Lmanchu

value:
I built Tandem to solve a problem I kept running into with Claude Code: *How do you collaborate on documents with AI while maintaining proper attribution?*
Current tools (Google Docs, Notion, etc.) were designed for human-to-human collaboration. When I copy-paste Claude's suggestions into a doc, all attribution is lost. My team can't tell which parts I wrote vs AI-generated. In open source, this creates trust issues.
*Tandem's approach:*
- Every edit is tagged as  Human or  AI
- Git-based version control (full history, not just "last modified")
- Real-time collaboration using Yjs CRDT
- MCP integration (AI can directly edit documents using tools)
*Tech stack:* React 19, TipTap, Yjs, Hono, Bun, MCP
*Live demo:* https://tandem.irisgo.xyz
Think "Google Docs meets Git" but designed for human-AI teams. I'm treating this as a bottom-up approach to building an AI-native workspace (inspired by Sam Altman's recent comments about needing an "AI-native Slack").
Currently in MVP stage. Looking for feedback from the HN community:
- Does this solve a problem you have?
- What features would make this indispensable?
- Concerns about AI attribution?
Happy to answer technical questions about the implementation!

value: Show HN: Tandem – Real-time collaborative editor with AI attribution tracking

author: Lmanchu


value: LightMorpheus

value: Show HN: Ten Principles of Good Design

author: LightMorpheus

title: Show HN: Ten Principles of Good Design


value: Pukuta

value:
What would you want to control about AI agents in your life?
Would you let an AI agent send emails on your behalf?
Most people say "no" - too risky.
But what if you could set rules like:
• "Only send to people in my contacts"
• "Never spend over $50"
• "Only book meetings between 2-4pm"
• "Block domains: competitor.com"
That's what I built.
Introducing PIA (Personal Identity Agent) - an authorization platform for AI agents.
It's like IAM for your life:
- Define policies (what agents can/can't do)
- Agents authenticate via OAuth flow
- LLM verifies every action against your rules
- Full audit trail
Built an SDK and 5 production agents to prove it:
 Email •  Calendar •  Contacts •  Files •  Tasks
All live. All production-ready.
All at: digital-embodiments.vercel.app
The SDK is on NPM:
npm install @variant96/pia-sdk
Tech: Next.js, TypeScript, Prisma, NextAuth, Groq/Gemini
This is my bet on how we'll safely delegate to AI agents.
Thoughts? What would make this more useful?

value: Show HN: OAuth-style authorization for AI agents

author: Pukuta


value:
I built Flowctl as a lightweight alternative to Rundeck for turning scripts into secure self-service offerings. Single Go binary, workflows defined in simple YAML/HUML config. Free and open-source, Apache 2.0.
Users fill out forms to trigger workflows. The workflow config defines the inputs and Flowctl renders them as forms. Inputs can use expr expressions for validation.
Workflows are sequences of actions. Each action can run locally or on remote nodes via SSH. Each action uses an executor and can wait for approvals before proceeding.
Executors provide the runtime environments for the actions. Right now 2 executors are available (Docker and Script). Executors are modular but I'm working on making them pluggable via gRPC plugins.
I built this because I needed a simple tool to manage my homelab while traveling, something that acts as a UI for scripts. At work, I was also looking for tools to turn repetitive ops/infra tasks into self-service offerings. I tried tools like Backstage and Rundeck, but they were either too complex, or the OSS versions lacked important features.
Example use cases:
- Database migrations: Wait for DBA approval, run migration on remote DB host via SSH, post-migration validation.
- Self-service infra provisioning: Terraform plan runs in Docker container, outputs plan as artifact, pauses for approval, applies on approval.
- Emergency disk space cleanup: On-call engineer triggers via UI. Workflow SSHs to server, identifies safe-to-delete files (old logs, temp files, Docker cache) and cleans up.
Features:
- SSO with OIDC and RBAC
- Namespace isolation
- Execution on remote nodes with SSH
- Approvals
- Cron-based scheduling
- Encrypted credentials and secrets store
- Docker and Script executors
- File and variable passing between actions
- Parallel execution on multiple remote nodes
Tech stack: Go, SvelteKit, PostgreSQL
Demo: https://demo.flowctl.net (optimized for desktop)
Homepage: https://flowctl.net
GitHub: https://github.com/cvhariharan/flowctl
I'd appreciate any feedback on features, use cases, or issues you encounter. Happy to answer questions!

value: Show HN: Flowctl – Self-service workflows with approvals and SSO. Single Binary


value: galaxyeye

value:
Hi HN,
I’d like to share an open-source project we’ve been working on for a while: Browser4.
The motivation came from a recurring frustration: most browser automation tools (Playwright, Selenium, Puppeteer) are excellent for human-written scripts, but start to show friction when used as a core execution layer for AI agents or at very high concurrency.
So instead of building “another wrapper around Playwright”, we experimented with a different direction:
designing a browser engine where AI agents are first-class citizens.
### What Browser4 is
Browser4 is a browser automation engine built on native Chrome DevTools Protocol (CDP), with a focus on:
* Coroutine-safe concurrency (designed to run many browser sessions in parallel)
* Agent-oriented APIs (navigation, interaction, extraction as composable actions)
* Hybrid extraction: ML agent driven extraction + LLM extraction + structured selectors + an SQL-like DOM query language (X-SQL)
* Low-level control without Playwright-style abstraction overhead
It’s written in Kotlin/JVM, mainly because we needed predictable concurrency behavior and long-running stability under load.
The project is fully open-source (Apache 2.0).
### What it’s not
* It’s not a drop-in Playwright replacement.
* It’s not a no-code RPA tool.
* It’s not “LLM magic” — LLMs sit outside the browser engine.
Browser4 intentionally stays close to the browser execution layer and leaves planning/reasoning to external agent loops.
### Current use cases we’re testing
* Large-scale web data extraction
* Agentic workflows (search → navigate → extract → summarize)
* Price / content monitoring with frequent revisits
* High-concurrency crawling where browser startup and context switching are bottlenecks
On a single machine, we can sustain very high daily page visits, though we’re still validating benchmarks across different workloads.
### Open questions (where I’d love feedback)
* For agentic systems, does it make sense to bypass Playwright entirely and work closer to CDP?
* Where do you see the biggest pain points when combining LLMs with browser automation today?
* Is JVM a reasonable choice here, or is Python still the better tradeoff despite concurrency limits
* What abstractions would you want in a browser engine built for AI agents?
### Links
* GitHub: https://github.com/platonai/browser4
* Website (light overview): https://browser4.io
Happy to answer technical questions or hear criticism — especially from people running browser automation or agent systems in production.
Thanks for reading.

value: Show HN: Browser4 – an open-source browser engine for agents and concurrency

author: galaxyeye


value: Zavora

value:
Hey everyone!
I'm excited to share ADK-Rust - a production-ready implementation of Google's Agent Development Kit in Rust.
Why Rust?
After working extensively with adk-python in developing an ai agent factory at zavora.ai, I wanted to bring the same powerful agent development patterns to the Rust ecosystem, targeting use cases where:
Performance is critical - Rust's zero-cost abstractions and memory safety
Deployment size matters - Single binary with no runtime dependencies
Systems-level integration - Embedded systems, edge computing, IoT
Concurrency at scale - Rust's async/await with tokio
Features
ADK-Rust maintains API parity with the Python ADK where possible:
Model-agnostic - Gemini, OpenAI, Anthropic, DeepSeek support
 Multiple agent types - LlmAgent, SequentialAgent, ParallelAgent, LoopAgent
 Tool support - Built-in tools (Google Search, Code Execution) + custom tools
 MCP support - Model Context Protocol integration
 Sessions & Memory - InMemorySessionService, DatabaseSessionService
 Streaming - Full streaming support for real-time responses
 Telemetry - OpenTelemetry integration for tracing/metrics
 A2A Protocol - Agent-to-Agent communication
Quick Example
use adk_rust::prelude::*;
#[tokio::main]
async fn main() -> Result<()> {
    let agent = LlmAgentBuilder::new()
        .name("my_agent")
        .model(GeminiModel::new("gemini-2.0-flash")?)
        .instruction("You are a helpful assistant.")
        .build()?;

    let response = agent.run("Hello!").await?;
    println!("{}", response);
    Ok(())

}
Links
 Crates.io: https://crates.io/crates/adk-rust
 Docs: https://docs.rs/adk-rust
 Website: https://adk-rust.com/
 GitHub: https://github.com/zavora-ai/adk-rust
Looking for Feedback
I'd love to hear from the community:
What agentic features would you prioritize?
Any interest in contributing or testing?
Use cases where a Rust implementation would be valuable?
This is an independent community project, not officially affiliated with Google, but designed to be compatible with the ADK ecosystem.
Thanks for reading!

value: Show HN: ADK-Rust: a Rust Implementation of Google Agent Dev Kit

author: Zavora


value:
Hi HN,
I built Zootopia OC Maker, a small AI tool for creating original characters inspired by Disney’s Zootopia.
The idea came from seeing how many fans enjoy world-building, fan fiction, role-playing, and concept art around Zootopia, but don’t necessarily have drawing skills. This tool lets you describe a character (species, job, personality, district, vibe), and it generates a Zootopia-style OC that visually fits into the universe.
Link:
https://aiocmaker.com/oc-maker/zootopia-oc-maker
What it does
Generate Zootopia-style animal OCs (police officers, civilians, performers, hackers, reporters, etc.)
Supports a wide range of species and city roles
Visual style inspired by Zootopia 1 & 2, but characters are fully original
Useful for fan fiction, comics, roleplay, storyboarding, or just creative fun
Why I built it
Most AI image tools are very general. I wanted to experiment with a theme-focused OC maker that understands a specific universe’s tone, proportions, and personality style, while still encouraging original characters rather than copying existing ones.
Tech notes
Prompt-driven image generation with style constraints
Focus on expressive faces, body proportions, and cinematic lighting
No copyrighted character replication (OC-only by design)
This is still early and very much an experiment. I’d love feedback from HN on:
UX / prompt flow
How useful this is for creative work
Ideas for other themed OC makers
Happy to answer questions or share more details. Thanks for checking it out!
— Builder of Zootopia OC Maker

value: Show HN: Zootopia OC Maker – Create Zootopia-Style Original Characters with AI


value: SeeYouInHelL

value:
I built an anonymous real-time chat app (think modern Omegle) from scratch — plus a bunch of built-in multiplayer mini-games — just because I thought it would be fun.
Try it here: https://guftaguu.vercel.app
What it does
• Anonymous chat:
Instantly pair with a stranger and start talking. No account, no history — everything disappears when you leave.
• Play games together:
If the conversation gets awkward (or you just want chaos), you can jump into:
Tic-Tac-Toe
Connect 4
Rock–Paper–Scissors
Dots & Boxes
Reaction-based games
…and more coming.
• Zero friction:
Just enter a display name and you're in.
A heads up (Mobile users)
The mobile UI still needs work. Games won’t run correctly unless you switch to desktop mode, so for now the best experience is on a laptop/PC.
Feedback welcome
This is very much a work in progress. There are bugs and I’d love help finding them or ideas for new features.
You can send feedback directly through the app:
1. Click “Report / Feedback”
2. Type your message
3. It shows up instantly in my Discord so I can fix things quickly

value: Show HN: Guftaguu – Anonymous Chat and Real-Time Games (No Login Required)

author: SeeYouInHelL


value: ashv

value:
Hi HN,
I built Zunorm, a simple spreadsheet editor where you can make simple, targeted edits using your own models.
Instead of uploading your data to a closed AI service, Zunorm lets you:
- Bring your own model (via OpenRouter or local Ollama)
- Apply natural language edits directly to spreadsheet cells
What it’s good for -
- Cleaning or reformatting columns
- Quick AI-assisted edits without writing formulas or scripts
- Supports only CSVs for now
Still early, feedback welcome, especially around UX and real-world spreadsheet workflows.
Thanks for checking it out

value: Show HN: Zunorm – BYOM Spreadsheet Editor

author: ashv


value: baalimago

value:
My half-year HN Clai post with updates!
Most exciting feature is that Clai may now call itself as a tool! This allows Clai to solve very dynamic problems, considering the vast set of features it has. So all tools Clai has, will become available as a tool to the LLMs.
Example: we write a manager clai agent to spawn worker agents which have their own prompts and models. The manager will then on the workers completion, without tainting its own context, and may both validate and/or proceed with the results. I'll continue to expand clai in this direction, it's very interesting.
Other additions is support for more vendors, namely grok and gemini. I also added support for piping in b64 encoded images into omni models + photo models for cli-based LLM photo editing. All of this is supported recursively as well, of course, so that clai can dynamically spawn workers which generates videos and photos in omni models.
The current biggest limitation to this is the LLM models: they don't know how to use clai as a tool very well. I'll continue to expand on better documentation and instructions, these will be helpful for "normal" intelligence as well.

value: Show HN: Clai – Unixlike CLI context feeder for LLMs. Now with recursive tooling

author: baalimago


value: thefarseen

value:
This week we shipped 'Surfaces'
Better way of consuming AI responses
You can ask AI to generate response in a particular way and interact with the response too!
You can create
- Guides ( with progress )
- Wikis ( Grokipedia competitor i guess )
- Courses ( with progress tracking )
- Quiz ( with results )
- Compare ( detailed comparison between 2 )
- Flashcards ( for repetition )
- Timeline

value: Show HN: This week we shipped 'Surfaces' on rynk.io

author: thefarseen


value: legalcriminal

value:
Hi we’re Alec and Daniel, builders of Sensii, a voice assistant that answers your questions while you play LOL
Github: https://github.com/sorena-ai/LeagueAiCoach
Webpage: [sensii.gg](http://sensii.gg/?utm_source=hn)
YT Demo video: https://youtu.be/jBRvdGTnado
Discord: https://discord.gg/un6QXZ7Prg
When my LOL player friends forced me to stop playing Dota2 for a “better” game, I found myself lost in champions, builds and combos. Overlays like professor were good but very static and have no interaction or reasoning to give me understanding of how the game works. I wanted to know what should be my next move and why!
*Our Solution*
We made a windows app that works in the background, you press a button and ask your question, then our agent responds to you based on the game’s live events and the guides we found on the web.
*How We Did It*
- Windows client that captures Riot’s official API live events
- The agent is langchain with tool calls fetching champions guides and builds when game starts.
- FastAPI python, Auth0, Treafik and docker as infrastructure.
- Our main model is gemini-flash-lite-latest, we found it a good choice based on multimodal input capability, latency and price.
- Currently responding with about 2s latency on average for each request.
Our plan: we have no plans, just want to see our little project to bee seen by gamers out there!
We’d be happy to know what you think of it!

value: Show HN: League of Legends AI Assistant (OpenSource)

author: legalcriminal


value: promptmike

value: Show HN: Hands on tutorial for open source contribution

author: promptmike


value: adviser

value:
Hello HN!
I have built NomadExpenses because I tried like 15 or so iOS Apps and none of them had features I needed. If you just live in one place and need only one currency and budget for one the choices are vast. I needed multi-currency support (not just multiple wallets, but auto currency conversion), shared expense logging with my girlfriend and the ability to see everything in the currency I understand best.
There is essentially only travel apps for short-term trips, that do something like this, but not for nomads, since you have to create a "trip" with dates. I need my monthly target set in my currency and be independent of the country I currently based in so I can move to the different country in the middle of the month and still be able to stay on track with my budget.
I would love to hear any feedback, especially from fellow nomads or travellers.

value: Show HN: Spending Tracker App for Digital Nomads and Travellers

author: adviser


value: OSCAR-ORO

value:
I was starting to learn html/css when the Gen-AI revolution explode. That got me thinking: I could build a comic using html+css that sounds cool & unprecedented. I did so for the sake of practice not for money.
I have to say that is resisting very well the test of time. When i did it many people drop me comments on the lines of: thats just push a button. But i knew it was a lot of work behind the scenes. Its just another way of working. After that time, i think im right, if you want to make a high quality product using AI you have to put effort or its gonna be garbage. Its just a competition on another level, just when car races started didnt make racing easier than before because other people now uses car too.
Anyway, check it out & tell me.
I started learning HTML/CSS right as the Gen-AI revolution was beginning, which sparked an idea: could I build a full digital comic using only HTML and CSS? It sounded like a cool, unprecedented technical challenge. I pursued this purely as a learning exercise and a personal project, not for profit.
The project is The Lost World 2030, a 260+ page comic with hundreds of images. The key constraint was using zero JavaScript. The entire layout, panel flow, and navigation are driven purely by CSS features like flexbox, grid, and CSS animations.
When I initially worked on this, some comments implied using AI meant it was "just push a button," but I've found that high-quality results with AI still require significant effort and a deep understanding of the tools—it's a different way of working, not an easier one. This project is my proof of that. The work was in the technical implementation of the comic itself.
I made a a reddit channel about it, this is an interesting article i wrote:
https://www.reddit.com/r/THELOSTWORLD/comments/1eyr00s/comic...
I believe this is one of the first substantial art projects integrating AI imagery within a purely HTML/CSS structure.
I'd appreciate the community's feedback, especially on the technical implementation and the performance of the all-CSS approach.
Thanks!

value: Show HN: The Lost World 2030 – A full comic built with HTML+CSS

author: OSCAR-ORO


value: chrilleweb

value: Show HN: What are your thoughts on this?

author: chrilleweb


value: Reqeique

value:
I wrapped browser-use in a REST API with features I needed for production use.
browser-use is great but it's a Python library. I wanted an API I could call from anywhere with proper session management, visibility into what's happening, and extensibility.
Features:
- VNC streaming: watch the browser live at /vnc.html
- Session management: launch browsers, reuse across tasks, save profiles
- Custom tools: register HTTP endpoints the agent can call (APIs, webhooks, etc.)
- Task control: start/stop/pause, step-by-step execution updates
- 15+ LLMs: GPT, Claude, Gemini, Groq – swap with one parameter
Dev branch also has R2 backup for browser profiles (useful for serverless).

    docker run -d -p 8080:8080 reqeique/browser-use-api:dev

Couldn't find an existing API layer for browser-use with these features, so I built one. MIT licensed.
Happy to hear what's missing or what you'd want from something like this.
MCP support is coming soon.

value: Show HN: Browser-Use as a REST API with VNC, persistent sessions, and tools

author: Reqeique


value: Detrol

value: Show HN: Quorum – CLI to orchestrate debates between local/cloud LLMs(React Ink)

author: Detrol


value: benbristow

value: Show HN: Who Ships It?

author: benbristow

title: Show HN: Who Ships It?


value:
Hi HN,
Over the past year I’ve been building X-AnyLabeling, an open-source project that started as a labeling tool and gradually evolved into a multimodal annotation ecosystem.
The original problem wasn’t drawing boxes or masks. It was that annotation, inference, and training are usually fragmented into separate tools, which makes iteration slow and painful — especially for small teams.
X-AnyLabeling tries to unify these pieces:
- A desktop-first annotation client (cross-platform, pure Python)
- Pluggable AI inference (local or remote GPU servers)
- Built-in support for multimodal data construction (VQA, image–text dialogs)
- Direct integration with training pipelines (Ultralytics), forming a label–train–infer loop
The system is designed to be modular:
heavy models run remotely, annotation stays lightweight, and users can integrate anything from SAM and OCR to VLMs like Qwen or GPT-style APIs.
Project: https://github.com/CVHub520/X-AnyLabeling
I’m interested in feedback from people who work on real-world CV or multimodal pipelines — especially around how annotation tools should evolve beyond manual labeling.

value: Show HN: X-AnyLabeling – An open-source multimodal annotation ecosystem for CV


value: zembutsu

value:
External display reconnects kept breaking my workflow,
so I built a small macOS app to save and restore window layouts reliably.
Also: keyboard shortcuts to move windows between displays (⌃⌘←→)
and nudge them pixel by pixel (WASD).
Native Swift, no background daemon.

value: Show HN: macOS tool to restore window layouts

author: zembutsu


value:
Most customer success tools tell you what already happened.
We built FirstDistro to answer a different question:
Which high-value accounts are about to churn, before they tell you?
Instead of dashboards, it:
- watches usage, engagement, and sentiment patterns across accounts
- flags subtle risk early (even when accounts still look "health")
- triggers alerts with clear next-best actions, not just scores
The insights that drove this: surprise churn usually isn't sudden, It's silent.
We're working with lean CS teams where losing one $10k+ ARR customer really hurts.
Would love feedback from folks who've dealt with churn firsthand:
- what signals do you wish you had earlier?
- where do existing CS tools fall apart for you?
Happy to answer questions or share what didn't work along the way.

value: Show HN: An early-warning system for SaaS churn (not another dashboard)


value: admtal

value:
I create web games and wanted to record demos on my phone with a face cam overlay, similar to the ones you see on YouTube and TikTok gameplay videos. Unfortunately, I couldn’t find any app that did this effectively, so I decided to build my own, called Demo Scope. It’s an iOS app that includes a built-in browser. You can load any website, position a draggable and resizable face cam, and start recording. The app also displays touch indicators, allowing viewers to see what you’re tapping on the screen. Additionally, it supports RTMP streaming, so you can go live if you prefer.
Free to download and use, $9.99 one-time purchase to remove watermark for life.
https://demoscope.app
Would love feedback from anyone doing mobile demos or content creation

value: Show HN: Lazy Demos

author: admtal

title: Show HN: Lazy Demos


value:
Hi HN,
I am Valerii and I have been working on PlanEat AI, an iOS app that builds fully personalized weekly meal plans with a smart grouped grocery list.
The problem I am trying to solve is simple
most people who want to eat better do not struggle with nutrition theory, they struggle with the daily questions
what to cook today, how to keep it sustainable, and what to buy for the week.
I tried Instagram and TikTok recipes, ChatGPT prompts, and existing meal planner apps. For me they failed in three places
1. low personalization I hate a bunch of ingredients, my wife hates a different bunch, and apps rarely adapt to that
2. they treat recipes and grocery lists as separate worlds
3. too many perfect recipes that do not fit real life time and local products
What PlanEat AI does now^
 - builds a weekly meal plan based on goals, dislikes, available time and basic cooking equipment
 - generates simple step by step recipes using normal ingredients
 - creates a smart grocery list that is grouped by store sections and stays in sync with the plan
 - lets you quickly swap meals and update the list without redoing everything
Under the hood it uses an LLM based planner plus some logic to keep plans realistic in terms of time and number of ingredients. I am still iterating on the trade off between healthy enough and actually doable after work.
I would love feedback from you on
- is the onboarding clear enough or does it ask for too much
- does the weekly plan view make sense at a glance
- what feels most annoying or confusing in the first two minutes of using it
Right now it is iOS only. If you do not want to install the app, there are screenshots and a short explanation on the landing page as well.
We are also launching it on Product Hunt today as a way to collect more early feedback from non technical users. The main reason I am posting here though is to learn what I am missing from a builder point of view.
Thanks for taking a look, I am happy to answer any questions about the product, the tech behind it, or the process of turning a personal diet problem into an app.

value: Show HN: PlanEat AI, an AI iOS app for weekly meal plans and smart grocery lists


value: I built this to explore low-latency C++ patterns.<p>It uses a sharded architecture (one thread per symbol group) to avoid mutex contention during matching. Recently moved to int64_t fixed-point pricing and added memory compaction to prevent leaks in long-running processes.

value: Show HN: High-Performance Order Matching Engine in C++20 (2.2M ops/SEC)


value: wozzio

value: Show HN: I audited 500 K8s pods. Java wastes ~48% RAM, Go ~18%

author: wozzio


value:
Hey HN,
I built an AI music generation platform that solves a problem I had as a content creator: finding royalty-free music that's actually usable.
Key features:
• Generate songs up to 8 minutes (vs typical 2-4 min limits)
• Multiple AI models: lyrics generation, vocal removal, stem separation
• Commercial license included - safe for YouTube, Spotify, TikTok
• Export in WAV/MP3 with studio quality
Technical stack: Next.js 15, multiple AI providers (DeepSeek, OpenAI, etc.), PostgreSQL, Stripe for licensing.
Free tier available with 2 songs/month. Would love feedback from the community.
Link: https://aisongcreator.app
Happy to answer any questions about the AI models, licensing approach, or technical architecture.

value: Show HN: Built an AI Song Creator with stem separation and commercial rights


value:
Hey HN, Sudeep S D here from Flexprice (flexprice.io)
Every YC batch has had teams pushing insane tech, but almost all of them hit the same bottleneck before they even realize it.
This is not compute. Not models. It's Billing.
The moment you try to run real pricing experiments, the whole thing cracks.
So for the recent YC F25 batch, we’re removing that drag completely.
Flexprice is going to be FREE until you cross $500K in revenue.
We want you to plug in the infra that top YC teams use to handle millions and skip the internal hacks.
Try Flexprice today and do let us know your thoughts!

value: Show HN: Free usage-based pricing infra for F25 batch until $500K revenue


value: TheBestTvarynka

value:
Hello HN,
For the last 3 years, I have been working on a tool to help me debug ASN1-encoded data (keys, certificates, Kerberos/CredSSP/SPNEGO/etc data structures, and more) and cryptographic operations.
A few days ago, I shipped a significant feature: ASN1 tree editor. Now it can parse and edit the ASN1 tree directly on the page. I found it very useful and may be helpful for others.
Follow the link and try it. Short manual:
* hold `ctrl` and click on the tree node title to edit;
* hold `ctrl` and move the mouse between nodes to add a new node;
* hold `ctrl` and move the mouse to the start of the node title to remove the node.
A complete user guide with images can be found in my blog post: https://tbt.qkation.com/posts/announcing-crypto-helper-0-16/.
Overall, this tool can also perform many crypto-algorithms and has a JWT debugger. But that's another story :)
* All computations are performed inside your browser.
* This site does not set or use cookies.
* This site does not store data in the browser to be shared, sent, or sold to third parties.
* No personal information is shared, sent, or sold to third parties.

value: Show HN: Online ASN1 DER parser and editor

author: TheBestTvarynka


value: tison

value: Show HN: Logforth, A versatile and extensible Rust logging framework

author: tison


value: pfeaster

value: For the past couple months I've been experimenting with a structured storytelling game for large language models. In an AI Fiction Duel, two models alternately write chapters in a shared story, with each chapter deliberately setting up a difficult narrative "corner" (a dilemma, plot complication, or twist) for the opposing player to need to address. The players' objective is not to "win" in any traditional sense, but rather to demonstrate creative problem-solving under exacting constraints. All rules, prompt templates, and workflow outlines are freely available at https://aifictionduel.com for anyone who'd like to try running a duel (the process currently requires a moderator to relay texts manually between LLMs). The website also includes a small but growing digital library of select duel transcripts. Meanwhile, a full-fledged inaugural tournament among five contestants (ChatGPT, Claude, Gemini, Grok, and Le Chat) took place on November 2–3, 2025, producing a set of twenty duel-stories that have since been formatted for print and published as a two-volume paperback set, "The 2025 AI Fiction Duel Tournament" - potentially the first in an annual series. My hope is that this game will invite increasingly sophisticated modes of play going forward, since its level of difficulty should automatically keep pace with new capabilities as they emerge.

value: Show HN: AI Fiction Duel – adversarial storytelling structure for LLMs

author: pfeaster


value: clowerweb

value:
```
npm i -g oscilla-cli
oscilla <port>
```
Free tier with 1 connection, $5 for unlimited connections & custom subdomains. Absolutely private with E2E SSL and no logging.
Happy to hear any feedback!

value: Show HN: Oscilla – Free ngrok alternative for sharing localhost on the 'net

author: clowerweb


value: heavenlxj

value:
Hi Indie Hackers
We’re building Kinkora, a creative platform that brings multiple image and video AI models into one place for experimentation and creation.
Like many builders, we found ourselves constantly switching tools just to test different models or creative directions. Each platform felt limited to a single workflow or use case. So we decided to build a space that’s more modular, exploratory, and creator-first.
Kinkora focuses on:
Supporting popular generative models
Making experimentation fast and enjoyable
Laying the foundation for a creative community, not just a generator
Our long-term goal isn’t just “generate content”, but to create a place where creators can play, iterate, and discover new ideas as models and techniques evolve.
We’re early, actively iterating, and would love feedback from fellow indie builders on:
Feature direction
Community mechanics
Creator-friendly workflows
Happy to answer any questions

value: Show HN: Kinkora – A creative playground for experimenting with video models

author: heavenlxj


value: Nathanadian

value:
I built a daily word game that’s basically single player Balderdash.
Everyone sees the same obscure word per day, and you have to guess its real dictionary definition hidden amongst four other convincing made-up definitions. Inspiration came from playing Balderdash with my friends over the holidays. It’s designed to be a quick, low-stress daily habit.
Under the hood, I'm using Gemini to generate the fake definitions and using Firestore for my backend. No accounts, but your browser stores your stats (win %, winning guess distribution, streaks).
I’d love feedback on the core loop:
* Is it actually fun (and are the fake definitions the right level of convincing)?
* Any ideas for making the sharing experience more engaging? I want to encourage players to compare with friends without being annoying.
Thanks!

value: Show HN: Solodash – A single player, Balderdash-style daily word game

author: Nathanadian


value: JosifA

value:
My daily driver is a Macbook Air M2 running Linux - Fedora Asahi Remix to be precise. One thing I missed when using it is the ability to occasionally run Windows software using Wine. Apparently, you can run Steam on it and apparently Steam allows installing and running arbitrary Windows software, but when I tried it, I couldn't create an account and in general, I'd rather not use Stream. I succeeded running and older version of Heroic Games Launcher [1] under muvm (a virtual machine that runs a 4K page kernel on a 16K one). That wasn't terribly easy though and I wanted a better experience. My other problem with Heroic and with other launchers focused on games is the lack of flexibility - they either work for a particular piece of software or they don't, and you can't do anything about it. For instance, an installer may require a certain package to be installed using Winetricks [2], before it runs. Heroic doesn't give you a chance to run anything before the installer runs. Long story short, I decided to build my own Wine prefix manager that would be flexible, not focused exclusively on games and would run on Asahi Linux. Also, I decided to write it in a new language for me (Dart / Flutter) and learn that language as a byproduct. Five months later, it's finally ready and I'd like to get feedback on it. BTW, it also supports regular x86_64 Linux distros, though it doesn't receive as much testing on them.
[1]: https://heroicgameslauncher.com/
[2]: https://github.com/Winetricks/winetricks

value: Show HN: WineBar: A yet another Wine prefix manager, with Asahi Linux support

author: JosifA


value: wolfer

value:
Hey all!
Long time lurker, thought I would contribute back something to the community (at least the meat eaters in the UK). One thing that's been a pain for me to get a good understanding of is what the best price is for online butchers based around the UK. I like high quality meat (including some of the bigger cuts for kamado/bbq), and I'm willing to pay a premium however there isn't a single resource that would let me get an overview of what's available and price movements over time.
For my Xmas meat I didn't want to start building out a spreadsheet so I built a price tracker with quite a few convenience features to make it easy to search for certain cuts of meat across commonly mentioned butchers on Reddit and other communities.
If you find it useful let me know if there are any features that could help to make it even easier to find the cuts of meat that you're looking for!
Here's the tracker: https://offer-spider.onrender.com
Hosted on Render, built with Nextjs and SQLite. Spidering various custom e-com sites (WooCommerce, Shopify) on a daily basis.
My current TODOs:
- Search is currently free-text OR. Add AND to allow focussing down a search, and select from facets/categories/taxonomy
- Common search terms to pre-fill
- Exposing price over time metrics
- Further consolidation of SKUs to an internal taxonomy
- More butchers
- Expanding to other use cases outside of meat!

value: Show HN: UK Butchers Meat Price Tracker

author: wolfer

title: Show HN: UK Butchers Meat Price Tracker


value:
My kids are surprisingly keen to learn to type, and I couldn't find any thing out there which was
A) Free without adverts
B) Worked well on mobile/tablets
C) Was clutter free and easy to use
I wondered how easily I could vibe code a solution.
Here's the result.
Everything here was "vibe coded" to an extent, the graphics, sounds, art-work, even the github pipelines ( and I used chatgpt to instruct me how to configure everything in AWS )
I'm particularly pleased with the phoneme game, https://free-kids-typing-games.com/games/phoneme-sound-lab/ which was crafted using Google's TTS engine, and I think could be expanded further.
The mobile keyboard is also particularly impressive and works really well for little fingers.
I thought the hacker news crowd might be interested.
You can see the code in all it's gory AI generated detail here
https://github.com/Alan01252/free-kids-typing-games.com

value: Show HN: I vibe coded a free typing game for my kids


value: NikoNaskida

value:
Hi All,
We’re building LeadJot.
An AI website chat widget that turns visitors into qualified leads.
Most sites lose visitors after hours.
Forms sit. Emails wait. Leads disappear.
LeadJot talks to visitors right away.
It answers basic questions.
Asks the right ones back.
Captures contact details.
Pushes serious visitors toward booking a call.
What we’re focusing on:
Clear lead qualification. No fluff chats.
Owner-controlled flows. You decide the questions and order.
A lightweight widget that fits any site.
The goal isn’t to replace sales.
It’s to filter noise and surface intent.
We’re early and iterating fast.
Would love feedback and ideas about:
- How strict qualification should be
- How would one configure the chat flow
Happy to answer anything.

value: Show HN: LeadJot – Stop Losing Leads to Slow Replies

author: NikoNaskida


value:
Hi HN,
I built and open-sourced a production-ready boilerplate for building VS Code extensions using React-based webviews.
It focuses on removing setup friction while keeping the architecture clean and extensible.
Key features:
- React 19 + TypeScript
- Tailwind CSS
- esbuild-based bundling (fast builds)
- Two-way messaging between extension and webview
- VS Code theme-aware styling
- Production-ready build and packaging setup
The repo includes documentation and a deployment guide.
GitHub: https://github.com/kiran7893/vscode-extension-react-boilerpl...
Feedback and contributions are welcome.

value: Show HN: Production-ready VS Code Extension boilerplate using React 19


value: roboslone

value:
UI is available through GitHub pages: https://roboslone.github.io/habbitses/
It's my first attempt at integration with GitHub REST APIs, so there're probably bugs around.
Feedback is welcome.

value: Show HN: Habbitses – habit tracker built on top of GitHub

author: roboslone


value: Show HN: A distraction-free writing environment


value: zxcholmes

value:
Built a free browser-based platform with 11 mini-games to train gaming reflexes, memory, and focus. Tests reaction speed (average gamer: 200-300ms, pros: 150-200ms), visual tracking, pattern recognition, and mental flexibility.

  No signup, all scores stored locally, takes 1-2 mins per test.
  Useful for anyone into competitive FPS/MOBA games or just curious about their cognitive performance. Feedback welcome!

value: Show HN: Free reaction time and cognitive training games for esports players

author: zxcholmes


value: yogeshpaliyal

value: Deepr is a native Android application designed to streamline the management and testing of links. It provides a simple and efficient way to store, organize, and launch links.

value: Show HN: Deepr Simple and modern links manager app

author: yogeshpaliyal


value: LightMorpheus

value: Show HN: Solar system simulation with realistic orbital mechanics in Three.js

author: LightMorpheus


value:
I built a tool that scans your code and automatically generates
  comprehensive documentation using local LLMs (Ollama).

  Features:
  - Scans Python/JS/TS codebases
  - Generates human-readable docs with AI
  - Resume support (skip already-done files)
  - Real-time progress tracking
  - Works 100% locally

  Perfect for documenting legacy code or keeping docs in sync.
  Built with Streamlit + ChromaDB.

  Demo screenshots in the repo!

value: Show HN: DAUT – AI-powered documentation generator for your codebase