value: philippb

value:
Video: https://www.youtube.com/watch?v=OT1k7o89ed4
I was curious if I could drive an app via LLM. I think this is interesting and has some potential use cases to close the agent loop.
Please share your thoughts that come to mind!
https://www.youtube.com/watch?v=OT1k7o89ed4
This is a raw demo after I finished building it.
I'm mostly interested in hearing from you if there are use cases that this gets you excited about.
What could that become and what problems would that solve for you.
I've been thinking about this from an agent verification point, where agents can verify bugs and fix them independently.

value: Show HN: Driving Android app via LLM. Looking for feedback

author: philippb


value:
I really like wine, but my knowledge is not that extensive and in particular drops off pretty rapidly outside of California wines. Even within varietals and regions I’m familiar with, I don’t always know what characteristics to expect from a specific bottle - will this zin be peppery? Juicy? Etc.
I built an app to streamline this. You set what kind of wine you’re looking for and your price point, take a picture of the wine list, and it does the rest. It returns the menu ranked by:
- Alignment: How well it matches your flavor preferences.
- Value: The markup compared to retail price.
- Quality: Critics’ scores and online ratings.
It also provides a full description/tasting notes for each wine, which many wine lists leave out.
The Tech Stack
- Client: React Native
- Backend: FastAPI, deployed on Google Cloud Run
- DB: Firestore & Algolia
Here are the major pieces of the pipeline:
Image to Wine List: This is a combination of standard OCR and agentic image recognition. OCR alone couldn’t correctly parse layout (grouping prices with the right items), but "agentic alone" often hallucinated characters. I used Google Vision for the raw text and Gemini 2.5 Flash Lite to structure it.
Matching (List → Database): Actually the hardest part. Wine lists take a lot of liberty with naming, and it’s tricky to know if a fuzzy match is close enough. I used Algolia here with custom ranking rules.
Agentic Augmentation: I have a pre-built database, but to fill in missing entries in real-time, I need live search. I tried Tavily, Perplexity, and Google Search Grounding. Perplexity (Sonar Pro) ended up being the best balance of accuracy and performance.
Recommendation: Gemini 2.5 Flash Lite for flavor profile matching, and regular old math for calculating scores based on value and ratings.
Takeaways:
AI needs guardrails: It works really well if you use it in small doses with real input data. You can’t (yet) go straight from a photo to a recommendation list in a single prompt without hallucinations.
The Latency Trade-off: It’s hard to get both speed and quality. Since this is for a restaurant setting, I had to work hard to minimize LLM calls to keep it from feeling sluggish.

value: Show HN: Personalized wine recommendations from a wine list


value: EvoAgentX

value:
After several months of development, we’re opening a private beta for HowOne, a platform for building agentic apps that can self-optimise and evolve over time.
The core idea: turn an idea into a functioning agent-powered app in minutes. The platform includes users, databases, tools, and payment integration out of the box. No glue code. No infra setup.
We’re looking for 300 early technical users(invite code CD0AP6) willing to stress-test the system, break things, and tell us what’s missing. This isn’t a marketing push — we need real feedback from builders who care about automation, agent workflows, and rapid product iteration.
Beta includes:
 • 3 months of Pro access
 • Founding User badge + lifetime discount
 • Early access to experimental modules
 • Input on roadmap priorities
 • Featured slots in the Template Marketplace
 • 1v1 workflow or app-design coaching
If you’re building automations, AI tools, or agentic workflows, we’d appreciate your feedback.

value: Show HN: A Self-Evolving Agentic App Builder (Seeking 300 Beta Testers)

author: EvoAgentX


value: osigurdson

value:
Hi HN,
There are several tools that help you search through the monthly "Who is Hiring" posts on Hacker News. The primary difference with this one is it includes chat, semantic search as well as a semantic map visualization (select "business" from the dropdown and expand to get a sense of how this can be used). Behind the scenes it uses LLM instructions in batch to extract, format, tag the job posts, computes UMAP after everything settles while of course making everything searchable.
You can use the basic text search to quickly filter the results or alternatively use semantic search (toggle via the button in the search bar).
Finally, you can chat with the job postings as well (click the Chat button). It has a basic RAG type pipeline but also includes some tools which make it possible to ask broader questions like "What are the general themes in the job postings this month?" and dig down from there.
Anyway, I hope people find this useful. Any feedback is welcome (either here directly or feel free to use the contact page here https://nthesis.ai/contact which dog foods the same mechanism - no contact info required).
If you want to build something similar there is an API and a nice (in my opinion) CLI tool than can be used to ingest data, search or chat as well.

value: Show HN: Who is hiring" search tool with chat / other features

author: osigurdson


value: vadepaysa

value:
Hello HN,
I built https://inboxtutor.net , a tool (more like a toy) I use to send myself daily lessons over email, generated using Gemini.
ChatGPT and Perplexity offer something similar, but they require opening an app, and their lesson continuity is often weak. I kept getting repeated content. So I built something that works entirely through email. The whole experience lives in my inbox, a place I’m checking anyway.
How it works:
1. Enter what you want to learn (“Teach me Japanese for my trip”)
2. Verify your email
3. Receive personalized AI generated lessons in your inbox daily
4. Reply to any lesson to ask questions, take quizzes, or reshape the content
That’s it. No app. No dashboard. Just email.
You can also attach context using PDFs, URLs, or pasted text you want incorporated into your lessons.
I’ve found it a nice async way to learn and thought I’d share it here.
Try it: https://inboxtutor.net/

value: Show HN: InboxTutor – Learn anything, one email at a time

author: vadepaysa


value: Sibinarendran

value:
I built Dooza Desk (https://www.doozadesk.com), a very early, AI native helpdesk for small teams. I’m looking for a few teams to run free pilots and tell me what breaks.
Problem I’m aiming at:
- Small teams still type the same support answers that legacy tools can't close
- Most helpdesks are seat-priced, not work done or AI based like cursor
- “AI” in many tools is a thin layer on top of an old ticketing model, not the core.
What Dooza Desk does right now (basic version):
- Simple shared omnichannel inbox for customer messages.
- AI can autonomously solve tickets and take actions (need some polish)
- Lightweight helpdesk features (assign, status, notes) so it can replace a bare inbox for small teams.
High-level implementation details:
- Messages are normalized into a single internal ticket format.
- AI Agents builder + pipeline runs on each message (classify intent, suggest tags, draft reply).
- Customer and conversation history are stored so future messages can reuse context.
- The system is designed so more automation steps can be added over time as I see real workflows.
State of the product:
- Very early, rough edges expected.
- Focused on making a narrow set of flows actually work end-to-end instead of a big feature checklist.
- I’m actively changing things based on feedback; nothing is “frozen”.
What I’m looking for:
- 3–5 small teams (SaaS or e-commerce or any product with recurring customer questions) willing to run a free pilot.
- Brutal feedback on:
  - where the AI suggestions are useless or dangerous
  - which workflows must be automated first for this to be worth using
  - what’s missing to replace your current shared inbox / helpdesk for at least part of your support
If you want to try a pilot, you can sign up at https://www.doozadesk.com and then email me, I’ll wire things up manually and adjust the product around your workflows,

value: Show HN: Dooza Desk – AI-native customer support for small teams (free pilots)

author: Sibinarendran


value: cailynyongyong

value: Show HN: I'm sharing research insights from context engineering papers

author: cailynyongyong


value:
Wrote a lightweight tool that monitors ML models (drift, anomalies, prediction trends, real-time) with a 1-line integration.
It's designed to be easily bootstraped (helm chart) and used (simple endpoints + sdks available)<p>The project is an indi one and intentionally minimal.
I’m not trying to compete with full MLOps stacks — just exploring how little can be done to still be useful

value: Show HN: Minimal ML Monitoring – drift, anomalies, alerts in 1 line


value: imaka

value:
Anthropic open-sourced 16 skills for Claude (PDF generation, MCP servers, frontend design, etc.) but there's no easy way to discover or use them.
Built a simple CLI:

    pip install askill
    skill browse      # paginated list of all skills
    skill search mcp  # find by keyword
    skill use pdf     # install to your project

It clones their repo and parses SKILL.md files. ~300 lines of Python.
https://github.com/akshayaggarwal99/agentskills

value: Show HN: CLI to browse and install Anthropic's Claude Skills

author: imaka


value: mgopanna

value:
I’ve been working on a primitive called User-Segmented Session Tokens (USST).
The Problem: Currently, if a teacher (or lead dev) wants 50 students (or junior devs) to use an LLM with a specific, deep context (e.g., a 50-page curriculum or a complex repo), all 50 users have to re-upload and re-tokenize that context. It’s redundant, expensive, and forces everyone to have a high-tier subscription.
The Solution: USST allows a "Sponsor" (authenticated, paid account) to run a Deep Research session once and mint a signed Context Token. Downstream users (anonymous/free tier) pass this token in their prompt. The provider loads the pre-computed KV cache/context state without re-processing the original tokens.
Decouples payment from utility: Sponsor pays the heavy compute; Users pay the inference. Privacy: Users don't need the Sponsor's credentials, just the token. Efficiency: Removes the "Linear Bleed" of context re-computation.
I wrote up the full architecture and the "why" here: https://medium.com/@madhusudan.gopanna/the-8-6-billion-oppor...
The Protocol Spec / Repo is the main link above.
Would love feedback on the abuse vectors and how this fits with current provider caching (like Anthropic’s prompt caching).

value: Show HN: USST – A protocol to reduce LLM context redundancy by 98.5%

author: mgopanna


value: neotanp

value:
So, what is this thing?
It’s called The Forge Calculator. Basically, it’s a tiny website I cooked up for anyone who messes around with the "The Forge" crafting system in those big games. You know, the one where you’re trying to figure out probabilities, stat ranges, and all that headache?
You plug in your materials and what you’re hoping to get, and the tool instantly spits out the exact success odds, the statistical sweet spots, and what trait thresholds you actually need to aim for. It turns that whole guesswork nightmare into actual numbers.
Go ahead and try it—no sign-ups or anything weird: theforgecalculator.online
The Story Behind It
Honestly, I’m a huge fan of the game, but I got seriously fed up with the crafting math. Every time I wanted to forge a new high-tier item, I was digging through old forum posts and trying to make clunky spreadsheets work just to figure out my odds. It was time-consuming and I kept making mistakes.
I figured, "There has to be a better way." So, I started with a little script for myself. Then I cleaned it up and realized: if I’m struggling with this, the entire community is probably struggling, too. I spent my free time building this simple web interface around that core math engine so everyone could use it instantly.
Why Bother Using This One?
You might have seen other tools out there, but they’re usually static charts, broken spreadsheets, or old, outdated websites. Mine is different because:
It’s Instant and Zero Friction: I hate signing up for things just to use a simple calculator. This site requires zero sign-up, zero email, and it’s not tracking anything. It’s just fast.
It’s About Optimization: It doesn't just tell you if you can succeed; it tells you the minimum required materials to hit the best statistical breakpoints. That saves serious time and in-game currency for high-level players.
It’s Built to Last: Everything runs right in your browser (client-side JavaScript). It’s super fast, and since I don't have to manage a complex server, I can keep it running forever.
I’m putting this out there because I think the community needs a solid, reliable tool for this. It’s pretty early days, so if you break it or find a weird calculation, let me know! I’m around to answer questions about the code or the logic.

value: Show HN: The Forge Calculator – Instant results for complex crafting math

author: neotanp


value: anfragment

value: Show HN: Zen Enterprise – The World's First Enterprise Ad-Blocker

author: anfragment


value: northerndev

value: Show HN: AgentAudit – open-source hallucination detector for RAG

author: northerndev


value: Just your average recipe published on the Internet…

value: Show HN: Internet Recipe

title: Show HN: Internet Recipe


value: zenja

value:
Hey HN,
I've just launched https://bananaprompts.fun/, a collection of carefully crafted prompts designed specifically for Nano Banana Pro, the AI model that excels at advanced image generation. Whether you're into photorealistic seascapes, cyberpunk portraits, or isometric claymation cityscapes, these prompts are optimized to help you create stunning visuals with minimal tweaking.
It's built for AI creators, artists, and devs who want reliable starting points to experiment with Nano Banana Pro. I'd love your feedback on the prompts, UI, or ideas for expansion—maybe more categories or community submissions?
Check it out and let me know what you think!

value: Show HN: Banana Prompts – Curated Prompts for Nano Banana Pro

author: zenja


value: Show HN: Steps.org – Humanely Curated AI Prompts for Porn Addiction Recovery


value: Show HN: A collection of questions on the human experience


value: ksanyokm

value:
PromoPilot is an automated three-level link-building system designed for safe, scalable, and affordable SEO growth.
The platform builds a natural backlink profile using a cascade model:
L1: 5 high-authority Web2.0 posts
L2: ~50 contextual links pointing to L1
L3: ~500 fast-indexing tier-3 links
The average market price for similar DR-level backlinks is $150–250 per link.
PromoPilot provides an entire 3-tier cascade for $30, with a current cost of ~$0.50 per cascade due to deep automation.
We’re currently in open beta with 50+ Web2.0 networks integrated. Early testers reported strong ranking improvements and quick indexing times.
Would love your feedback — especially on reliability, safety patterns, and new features you’d like to see in the link-building workflow.

value: Show HN: PromoPilot – automated 3-level backlink cascade for fast SEO growth

author: ksanyokm


value:
I wanted to grow on X but posting every day felt repetitive, so I built a small tool that generates my daily tweets at 02:00 AM and automatically schedules them throughout the day.
It takes a few seconds to set up: you enter a topic and the autopilot handles the rest.
This was originally a one-day experiment, but after sharing it on Reddit I realized people were actually interested in automating consistency rather than “growth hacks”.
What’s inside:
– Daily tweet generation (AI)
– Automatic scheduling
– Dashboard to see upcoming/posted tweets
– Topic-based autopilot
– Minimal setup, no manual copy/paste
I’m fully aware that automated posting is controversial, so I’m interested in honest feedback from the HN crowd — especially around product usefulness, ethics, or ways to improve the quality of generated content.
Live demo: https://x101.tech
Source code isn’t public yet, but I’m open to releasing parts of it if people want to see how it works.
Would love to hear what you think.

value: Show HN: I built an autopilot that generates and posts my X tweets every day


value: iSloth

value: Show HN: Travel ESIM Comparison

author: iSloth

title: Show HN: Travel ESIM Comparison


value:
Author here: I built this because I wanted to learn about CBOR and how it's build and how it encodes data. I work with it on a almost daily basis, its s binary format that is defined in the RFC8949 specification.
It was my first time using AI to formalize the rules from an RFC and turn them into testable, working code. That's why I also explicitly say that this tool is not currently in use for production (I'm sure it will contain bugs!), it's just like a tinkering tool for me and at one point I hope to make this into something that people can maybe even use in their production system.
For visualization, I built a hex viewer that shows how the CBOR is decoded. It's really helping me understand the format better.
Right now it's just a basic version—you can encode, decode, and diff two CBOR values. There's still a lot of work to do. I'd like to add more educational content about what CBOR actually is and offer more tools.
I work in the Cardano space where CBOR is used heavily, so one thing I want to add is a function that can recognize which Cardano era a transaction (or part of a transaction) comes from.
There is still a ton of work to do and I have more ideas in mind, but for now that's my first version and I would like to get some feedback :)
The CBOR parser for that project is already open sourced, and I also built a small test suite to validate my CBOR parser against test cases and see how I compare to different parsers. That's why I created two projects that make this app possible. They are both linked in the about page and they're called Nachos and Taco.

value: Show HN: Cbor.app – CBOR encoder/decoder with hex visualization


value: chiengineer

value: still needs plenty of work but this is stable enough for full animations of all various sorts complete overkill on purpose to test out the models capabilities

value: Show HN: Vibe coded AI built astro and tailwind static site with full animations

author: chiengineer


value:
I’ve been experimenting with Phaser for small web games and found that even simple multiplayer logic becomes complicated fast. I built Martini-Kit (https://github.com/BlueprintLabIO/martini) to reduce that overhead.
It’s open source, written in TypeScript, and lets you structure your game logic almost like a single-player project while the library handles state syncing. It provides first-class Phaser support and aims to be much simpler than alternatives like Colyseus or Nakama.
I’m a hobby game developer and would appreciate feedback, criticism, or suggestions from the community.

value: Show HN: TypeScript runtime that syncs state for your multiplayer app/game


value: ronanren

value:
Hello HN,
I built TaskWand (https://taskwand.io) to make creating n8n workflows faster and less error-prone.
The Problem I love n8n, but building complex workflows from scratch takes time. While standard LLMs can suggest logic, they often "hallucinate" nodes that don't exist, get parameter names wrong, or output JSON structures that n8n can't actually import.
The Solution I built a specialized RAG (Retrieval-Augmented Generation) system. I indexed two thousands of working, verified n8n workflows. When you describe a task, the system retrieves relevant, valid workflow snippets to ground the LLM's response. This significantly reduces hallucinations and ensures the output is import-ready.
Key Features:
Visual Preview: You don't just get JSON; I built a UI that renders the n8n workflow preview directly in the browser so you can verify the logic before exporting.
Prompt Refiner ("Improve"): Writing detailed technical specs is hard. This button takes a vague idea (e.g., "sync hubspot to slack") and rewrites it into a highly detailed, technical prompt optimized for the generator.
Interactive Context ("Ask"): A Q&A copilot to answer questions about nodes and logic or troubleshoot concepts before generation.
The Tech Stack I decided to use a bleeding-edge stack for this:
Frontend: Next.js and Tailwind CSS.
AI/RAG: OpenRouter API (GPT models) and Qdrant (Vector DB).
Backend: Supabase (Auth & DB), Next.js Serverless Functions.
UI Components: react-markdown, react-syntax-highlighter, and the official n8n component for the visualization.
I’d love to hear your feedback on the generation quality and the UI experience.

value: Show HN: TaskWand – Generate n8n workflows using RAG on 2k+ real examples

author: ronanren


value: Show HN: Atlas4D – Open-source 4D spatiotemporal platform on PostgreSQL


value: tomelliot

value:
Over 550 installs! I didn't expect other folks to use it, but it turns out other people also wanted to have their Granola notes + transcripts in Obsidian.
It's my first open source project, so it's cool to have some people using it, and even submitting issues and PRs.
If you use Obsidian + Granola, and have suggestions for how to make it even better, I'd love to hear it.

value: Show HN: Meeting notes and transcripts straight into Obsidian

author: tomelliot


value: Show HN: We've Built First AI Agent for Mobile Apps


value: Show HN: Memory System for Claude Code and Other CLIs


value: rsdza

value: Show HN: Potato – AI meeting assistant that does useful stuff

author: rsdza


value: slig

value:
Hi all!
I’ve built a puzzle generator that creates logic grid puzzles using an algorithm designed to mimic how a human would actually solve them. It produces raw constraint statements like “Person:Carl, Age:30, Car:SUV, Hobby:TableTennis are all different people,” which are then passed through an LLM to turn them into clean, themed English clues. There are ~600 themes available, and difficulty levels range from very-easy to ultra-hard.
Today’s six puzzles are free to play; the full archives are behind a paywall.
Would love to hear your thoughts!

value: Show HN: Daily Logic Grid Puzzles

author: slig

title: Show HN: Daily Logic Grid Puzzles


value:
Hi HN, this is a repost from last Saturday, in case it was burried. https://news.ycombinator.com/item?id=46096146
But essentially, a single file, totally offline, free To-Do list app with opinionated workflows.
Such as
- Can only pick 3 tasks at max at a time
- Helps build momentum by suggesting smallest next step
- Acknowledges and helps with emotional states
- Generates progress reports
Customizable by users.

value: Show HN: Guide – A Cognitive Behavioural Therapy Inspired To-Do App


value: harperhuang

value:
Hey HN,
I built Nana Banana (https://nana-banana.org), a platform that integrates multiple AI image generation models.
Why I Built This
I found that each AI image generation model has its own strengths—Google Gemini excels at multilingual  text rendering, FLUX is great for photorealistic styles. But you need to manage multiple accounts. So I  built this platform to bring them together, accessible with a single account.
Key Features
1. Integrates Google Gemini, FLUX, Seedream, Qwen, and more
2. Supports text-to-image and image-to-image
3. Two-step AI workflow: Generate → Edit & Refine
Tech Stack
Next.js 15, TypeScript, PostgreSQL, better-auth
Feedback
Still in early stage. Feel free to try it out and let me know what you think.

value: Show HN: Nana Banana – An AI Image Generation Platform with Multiple Top Models

author: harperhuang


value: roberttidball

value: Show HN: I built a Python library for central bank economic announcement data

author: roberttidball


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.fr in order to change that.
Real Use Case, flashcards & interview simulators.
One goal : Destroy the next technical interviews.
Don't hesitate to share us your feedback.

value: Show HN: I designed the future or technical interviews' preparation

author: Enjoyooor


value: elijahparker

value:
Edit: link: https://sunrisecal.com/
This is a personal project that I've been working on very slowly now on the side for the past 5 years (yes, ridiculously long), using it for myself for a while and now finally have it ready to share to a wider audience.
It's a web app for building printed wall calendars that include sun and moon info for each day, specific to the location you choose.
Rather than using accounts, each calendar gets its own unique URL by which it can be accessed. This way there are no accounts, no logging in, no tracking, etc. Everything is deleted 7 days after the last access, or if ordered, 18 months after the last access. There's no email list, no collecting/saving of email, etc. It's for creating and printing calendars; nothing else.  This makes it free to try without worrying about getting harassed by remarketing...
I built it with nodejs and pdfkit for creating the calendar PDF that gets sent to the printer (lulu.com). I'm just using file storage of json documents to start with -- I know this is not ideal, but I started simple and lightweight and will fix things if/when needed. In the past I've been overly obsessed with using all the right tools and frameworks, but that can sometimes distract from the simple core goal, so for this I've intentionally taken a different approach (specifically since this is more of a "just for fun" project).
But I don't know -- adoption has been slow so far.  Does anyone use printed calendars anymore?

value: Show HN: Sunrise Calendar: custom printed calendar with sun and moon info

author: elijahparker


value: bhavnicksm

value:
I'm sure folks here have seen pastebins a thousand times. There's no innovation left in this space – and that's kind of the point.
When I wanted to self-host a pastebin, every option I found was too much. Git-based version control, OAuth, elaborate admin panels. I just wanted something I could deploy in under a minute with a CLI that actually works.
So I built pbnj (yes, like the sandwich).
What it is:
- A minimal, beautiful pastebin with syntax highlighting for 100+ languages
- One-click deploy to Cloudflare (free tier gives you ~100,000 pastes)
- CLI-first: pbnj file.py → get a URL, copied to clipboard
- Memorable URLs: crunchy-peanut-butter-sandwich instead of x7f9a2
- Private pastes with optional secret keys
- Web UI for when you're not in a terminal
What it isn't:
- No accounts, no OAuth, no git integration
- No multi-user support (fork it and run your own)
- No expiring pastes, no folders, no comments
- Not trying to replace Gist or be a "platform"
Why not just use Gist? Maybe you want to own your data. Maybe you enjoy self-hosting things. Or maybe you're a little autistic like me and just like having your own stuff.
Live demo: https://pbnj.sh
GitHub: https://github.com/bhavnicksm/pbnj
CLI: npm install -g @pbnjs/cli
If this scratches an itch for you, I'd appreciate a star on GitHub. Happy to answer any questions!

value: Show HN: Pbnj – A minimal, self-hosted pastebin you can deploy in 60 seconds

author: bhavnicksm


value: StellaMary

value: Show HN: Brahma-React – Switch Next JavaScript Vulnerable API to Rust

author: StellaMary


value: Show HN: PaperProfit – learn investing and trading by doing


value: NabilChiheb

value:
We built this tool after years of frustration working on massive, undocumented COBOL systems. The core problem is that simple maintenance tasks turn into high-risk, multi-day exercises because there is no clear, automated way to map program dependencies or control flow.
The Challenges We Solve:
Dependency Sprawl: A single program change often ripples through dozens of Copybooks, which themselves include others. Our tool performs a full static analysis of the codebase to generate an accurate, visual dependency graph of every program and copybook included.
Obscured Control Flow: PERFORM blocks and deeply nested IF statements make control flow difficult to trace manually. The tool generates a clear, interactive control flow graph (CFG) for any selected program. Clicking a node in the CFG jumps directly to that line in the source.
Variable Tracing: Debugging is painful when variable usage is scattered across a 5,000-line file. We map the entire lifecycle of any variable: definition, modification, and usage points, streamlining the debugging process.
The goal was to move tribal knowledge out of people's heads and onto the code itself. The tool supports adding annotations and notes directly onto the flow graph nodes, linking critical business context directly to the source of truth.
We focused on generating highly accurate, navigable visualizations that senior developers can use to quickly understand and safely refactor complex logic.
We'd appreciate any feedback from others who have wrestled with legacy systems.

value: Show HN: A tool to visualize and map dependency hell in legacy COBOL codebases

author: NabilChiheb


value: rhgraysonii

value: A friend posted:<p>"Very niche question for my audio pals: I know there are tools to check if a WAV has ever gone through an MP3 conversion. Is there a way to check if an MP3 has been transcoded from another MP3?"<p>I got curious, and, well, made a thing for them. I figured I might as well package it up nicely and see what others thought.

value: Show HN: Losselot – See if your FLACs are fibbing, catch encoding audio relics

author: rhgraysonii


value: rpunkfu

value: Show HN: PGM-Extra – High-performance learned index structures for Rust

author: rpunkfu


value: augiefra

value: Show HN: PastScreen – open-source macOS screenshot tool that grabs file paths

author: augiefra


value: lkwtsn

value:
I built Kronos because existing algo trading frameworks lack type safety and require rewriting strategies for different exchanges.
Kronos is an opinionated framework in Go (think Laravel/Spring for trading). Write your strategy once, run it in backtest, paper, or live with zero code changes.
Key features:
- Type-safe (catch errors at compile time)
- Exchange-agnostic (same strategy works on Hyperliquid, Binance, etc.)
- Real-time orderbook visualization in terminal
- Handles WebSocket management, order routing, position tracking
Currently supports Hyperliquid, adding more exchanges soon.
Looking for feedback from traders and quants. What features would be most valuable?

value: Show HN: Kronos – Type-safe trading framework in Go with terminal UI

author: lkwtsn


value: kamdev

value:
Hi HN,
I built Notekit, a note-taking and task-management extension for Chrome that runs
entirely in the browser. Everything is stored locally in IndexedDB—no account,
no cloud sync, no tracking. You can try it directly here:
Chrome Web Store:
https://chromewebstore.google.com/detail/odlainjhjhfffelembf...
What you can try right now:
- Sidebar notes with rich text
- Auto-save of page URL/title
- Projects and tags
- Attachments and link previews (stored locally)
- Search, filters, light/dark mode
- Import/export (JSON, CSV, Markdown; PDF/HTML optional)
- Works offline after installation
I built this because I wanted a fast, private workspace for notes and tasks
without accounts or cloud syncing. Most tools felt too heavy or required storing
data on someone else's servers.
Technical notes:
- Chrome MV3 extension
- IndexedDB for all storage
- Optional AES-GCM encryption for notes
- Virtualized list rendering for performance
- No external network requests unless the user triggers AI tools
I’d appreciate feedback on:
- Sidebar performance
- Search speed with large datasets
- Backup/import UX
- Tag/project structure
- Whether a Firefox version is worth prioritizing
Thanks for taking a look.

value: Show HN: Notekit – A Privacy-First Note-Taking Extension for Chrome

author: kamdev


value: ADCXLAB

value:
A real-time compliance dashboard for banking + blockchain data.
Includes IBAN/SWIFT validation, OFAC screening, payment corridor checks,
and on-chain validation across 6 blockchain networks.<p>Would appreciate feedback from anyone working with financial data,
risk systems, or regulated infra.

value: Show HN: Real-time compliance dashboard (IBAN, Swift, OFAC, 6 blockchains)

author: ADCXLAB


value: csantini

value: Show HN: Script to Generate i18n Localizations

author: csantini


value: PEGHIN

value:
I'm an agency guy managing SMS campaigns. Every week, I'm stuck importing 500+ URLs into Excel, shortening them, tagging with UTMs, and exporting. It's mind-numbing.
Bitly's API wanted $300/month for this exact workflow. Seemed insane for what amounts to "take URLs → add query params → store them."
Spent a Friday night building LinkScale on top of Short.io's infrastructure. The workflow: Upload CSV → System adds UTMs → Download shortened links with tracking.
Tech stack:
- Next.js + React frontend
- Supabase for link history & analytics
- Short.io API for the actual shortening (they handle CDN)
- No custom infrastructure costs
Shipped it expecting nothing. Got ~50 free tier signups over 2 weeks. A few asked about lifetime pricing vs monthly, which is why I added a $199 lifetime option.
What I learned: Bulk link management is way more painful than it should be. People are still copy-pasting or using Bitly's clunky interface.
Happy to discuss technical decisions, pricing strategy, or answer questions about the stack.
Site: linkscale.pro

value: Show HN: LinkScale – Bulk CSV URL Shortener (Solved My SMS Campaign Workflow)

author: PEGHIN


value:
Hi HN,
I built WorkTab, a browser extension that helps you manage and restore tab sessions by organizing them into workspaces. Everything is stored locally—no cloud sync, no tracking, no remote servers.
You can install it via the website above or directly from the Chrome Web Store.
Currently available (free version):
- Create up to 3 workspaces to organize your tabs per project or topic
- Auto-save sessions (60s, 2 min, 5 min intervals)
- One-click session restore — restore all tabs in a workspace
- Group tabs by domain, detect duplicate tabs
- Use built-in workspace templates
- Search across tabs by title or URL
- Light / dark UI, keyboard shortcuts, easy UI
- Works entirely in the browser (IndexedDB storage), no tracking, no analytics
Why I built it:
I often juggle multiple projects — coding, research, browsing docs — and end up with dozens of tabs. I wanted a simple way to save, restore, and manage tab sets so I don’t lose track of what I was working on, and so I can switch contexts without clutter.
Tech notes:
- Chrome / Chromium extension (Manifest V3)
- Uses IndexedDB for local storage
- Tab grouping and management using native tab APIs
- Export / import of workspace state via JSON
- Optional “Pro” upgrade gives unlimited workspaces, automatic backups, tab suspension, domain rules, bulk actions, and more — but the free tier is fully functional.
What I’m looking for:
- Feedback on performance and responsiveness, especially with many tabs open
- Usability feedback — is workspace switching intuitive? autosave intervals reasonable?
- Suggestions for improving tab search / grouping / workspace organization
- Interest or demand for a Firefox / non-Chromium version
Thanks for taking a look. I’m around to answer questions or discuss improvements.

value: Show HN: WorkTab – A Workspace-Based Tab Manager for Chrome


value: Show HN: Rake – Now you're thinking in vectors


value: xfyyzy

value:
Soffio is a Rust-powered blog/CMS. Public pages are statically rendered; the admin is an interactive Datastar UI for writing and publishing.
The codebase was heavily AI-assisted (ChatGPT/Claude), but I’m fully responsible for the architecture, review and maintenance. I care about being explicit when AI is involved.
Repo: https://github.com/xfyyzy/soffio

value: Show HN: Soffio – a Rust blog/CMS with static pages and an admin UI

author: xfyyzy


value: sergeymishin

value: Show HN: I Built a Three Phase Cycloidal Gearbox (Open Source) [video]

author: sergeymishin


value: IvanGoncharov

value: Show HN: ChatGPT App That Solves LLM Randomness Problem No One Talks About

author: IvanGoncharov


value: lenvl

value:
Why: During development, quite often I  needed to test database migrations, try different data states, or experiment with schema changes. Standard approaches (manual dumps, Docker rebuilds, migration reversals) were too slow or cumbersome for rapid iteration.
Sometimes your migration will corrupt data, sometimes the feature is still in development, but you have to go to the main.
I have been using it for a day, and it seems to be working
JFYI: Don't use for prod :)

value: Show HN: Pgbranch – Git-Style Branching for Local PostgreSQL Development

author: lenvl


value: Been working on this for a few months after realizing how time consuming it is to create educational content. You input text, it generates a complete video with visuals, voiceover, and animations in ~20 seconds(for brainrot videos) or 2 minutes(for in-depth videos). More than 10k videos have been generated so far. Would love feedback on video quality and what use cases you'd find valuable.

value: Show HN: Torial – Explainer videos that generate in 20 seconds


value: okayestjoel

value:
Every 5x6 Nonogram is a realtime, collaborative web game with the goal to complete all 90,305,804 5x6 nonogram (aka picross) logic puzzle boards. Includes nonograms that have a unique solution, are line-solvable (no backtracking or guessing needed), no empty edges (so cannot be represented by a small board), and excludes rotations and reflections (so every board is truly unique).
This is a follow up to Every 5x5 Nonogram, a game I launched earlier this year.
Improvements this time around include:
* Login with Patreon (free or paid) gives you an account w/ customizable colors and saves your individual score
* Watch others solve in realtime, square by square
* No puzzle swiping - players cannot complete a nonogram another player is solving
Let me know what you think!

value: Show HN: Every 5x6 Nonogram

author: okayestjoel

title: Show HN: Every 5x6 Nonogram


value: Show HN: HumanoidOS – A Python control stack for bipedal robot simulation


value: pabloprieto

value: Show HN: Sample Chapter of Book: FairShares, an Alt Digital Goods Economic Model

author: pabloprieto


value: NoahJiang

value: Show HN: YieldMirror – Multi-account portfolio analytics engine with AI reports

author: NoahJiang


value: flomllr

value: Show HN: Let your users decide what you build next

author: flomllr


value: svanwinkle-dev

value: Show HN: HMLR – AI Memory system that gets 1.00/1.00 on every impossible test

author: svanwinkle-dev


value: wvrlow

value:
Hello HN,
I built Togewire, a self-hosted tool that lets you broadcast your Spotify listening session to anyone via your own website.
How it works:
Monitors your Spotify playback state.
Fetches the audio from YouTube using yt-dlp.
Syncs playback to clients via WebSockets using a Go backend (Gin + Gorilla).
It handles audio processing with ffmpeg (Opus) and includes a vanilla JS player you can embed in an iframe.
Demo: https://kurodaze.net/assets/togewiredemo.mp4

value: Show HN: Togewire – Share your Spotify listening session via your own website

author: wvrlow


value:
Hey HN,
I built SideSpark because I was frustrated with cloud note-taking tools and their subscription creep.
SideSpark runs locally on macOS using on-device models. Nothing leaves the machine. No data collection. No recurring fees. Just a simple, private note taker that works offline.
Would love feedback, critiques, and ideas for improvement.

value: Show HN: SideSpark – A Local, Private AI Note Taker for macOS


value: rohankhameshra

value: OLake is our open-source tool for ingesting Database & Kafka data into Apache Iceberg. We recently redesigned the write pipeline and saw ~7x throughput improvements. Sharing the architecture decisions, trade-offs, and benchmarks.

value: Show HN: 7x faster Iceberg ingestion, how we redesigned OLake's writer

author: rohankhameshra


value: elikoga

value: We're using this to enable connectivity to devices behind NAT or firewalls.<p>If you're using uv, you can use this project directly by running `uvx --from git+<a href="https://github.com/Thymis-io/http-network-relay" rel="nofollow">https://github.com/Thymis-io/http-network-relay</a> <command> [args...]`. Where `<command>` is one of `network-relay`, `edge-agent` or `access-client`.

value: Show HN: HTTP-network-relay: Tunnel TCP over HTTP using WebSockets

author: elikoga

story_text:
We're using this to enable connectivity to devices behind NAT or firewalls.
If you're using uv, you can use this project directly by running `uvx --from git+https://github.com/Thymis-io/http-network-relay <command> [args...]`. Where `<command>` is one of `network-relay`, `edge-agent` or `access-client`.


value: gilesjb

value:
I created Jam because I wanted to write build scripts in the same languages (Java and Kotlin) I'm developing in, have the same IDE tooling, and be able to do anything that regular code can do without having to write custom plugins.
Jam makes use of:
* Java and Kotlin support for runnable scripts.
* 'default' methods introduced in Java 8 which allow dynamic proxies to perform deep interception of method calls. Jam uses this to memoize method call results and track dependencies on source files.
Jam is currently self-building and includes the library of build functions it uses to compile its own Java code, download Maven packages, run units tests etc. And because Jam scripts are just code, they can include any build logic and call any libraries you want.

value: Show HN: Jam build code with plain code

author: gilesjb

title: Show HN: Jam build code with plain code


value: MassageByRosa

value:
Hi HN,
I'm Rosa, a massage therapist for over 30 years. I noticed my clients felt relaxed after a massage, but their stress and muscle tension always came back. A one-hour massage isn't always enough to combat a long workweek.
I saw that people needed info on how to take care of their bodies between appointments, not just treatment.
That's why we built MASSAGE BY ROSA – a wellness platform to meet this need.
Here’s what we offer:
It’s a two-part deal:
-Massage Therapy: Hands-on therapy for pain relief – based on methods from South Florida.
-Online Body Therapy Courses: This is what I want to share. I turned my knowledge into video courses teaching self-massage, workstation adjustments, and ways to release tension. It’s like having a therapist help you stay well.
The Tech:
We’re keeping it basic with a static site for course content and subscriptions, which lets us focus on making great video lessons.
We're launching this to solve the problem of upkeep in physical wellness. It's for people who sit a lot and want lasting relief without constant professional help.
Check it out and tell me what you think:
Landing Page: https://massagebyrosa.com
I’m here to answer any questions about the platform, the methods, or how the business runs!

value: Show HN: Massage therapy meets online learning– an app to help maintain wellness

author: MassageByRosa


value: hhhhmkk

value:
I've been running multiple side projects for 3 years, and link building has always been my weakest point. Not because it's hard to submit links, but because:
1. I never knew which submissions actually got indexed
2. I couldn't tell which backlinks drove real traffic
3. My "backlink opportunities" lived in 5 different spreadsheets
4. Checking domain metrics (DR, traffic) for each platform was tedious
So I built MyBacklinks.app to scratch my own itch.
*What it does:*
- Connects to DataForSEO API to auto-discover backlinks pointing to your domains
- Tracks submission status: pending → submitted → indexed
- Attributes traffic to specific backlinks (via UTM or referrer matching)
- Integrates with GA4, Plausible, Google Search Console
- Maintains a curated list of free submission platforms with DR/traffic data
*Tech stack:*
- Next.js 15 (App Router)
- PostgreSQL + Drizzle ORM
- Deployed on Cloudflare Workers
- Stripe for payments
- MCP protocol support for AI tool integration
The free tier gives you 3 projects and 100 backlink resources. Credits system for API-heavy features like discovery.
Would love feedback from fellow indie hackers managing multiple projects.
https://mybacklinks.app

value: Show HN: MyBacklinks – Track backlinks and growth metrics for side projects

author: hhhhmkk


value: sleepingreset

value: Show HN: Estimating VC Check Size

author: sleepingreset

title: Show HN: Estimating VC Check Size


value: Show HN: Estimating VC check size with VCdoxxer


value: manoloesparta

value:
I love watching youtube videos, from funny stuff to 2 hour essays, but every now and then I get trapped because the recommendation system is so good.
I keep opening videos on another tabs unrelated to what I'm currently seeing, this doesn't allow me to focus even when I need to study a certain subject (yes, sometimes I use youtube for studying).
So I just created some CSS and JS, to hide elements, that's it, simple solution.
If you want to install the extension you can do it in this url: https://chromewebstore.google.com/detail/minimal-youtube/emc...

value: Show HN: I've made a browser extension to make YouTube less distracting

author: manoloesparta


value: sankalpdomore

value: Show HN: NextDoor.Company – Find all the cool startups hiring actively on a map

author: sankalpdomore


value: DanielJMancini

value:
I’ve been developing a framework for understanding what happens when an AI system becomes faster and more stable than a human at modeling their internal patterns. The core question is whether an external interpretive system, once more reliable than a person’s own self-model, begins to replace the role of human self-interpretation.
The model treats human interpretation as an “inner loop”: slow, state-dependent, and easily disrupted. AI introduces an “outer loop” that is faster, more consistent, and capable of integrating behavioral and emotional signals we usually miss. When the outer loop becomes the more coherent source of interpretations, the human system begins referencing it as default. That is the point of interpretive overwrite.
The analysis below lays out the mechanism and the implications for AI-mediated cognition:
https://medium.com/@dmancini515/ai-will-soon-understand-your...

value: Show HN: A framework for understanding how AI replaces human self-interpretation

author: DanielJMancini


value:
Today I received the official confirmation: Claim Watch just won the Best Product Award at the Half Baked x Bolt Founder Hackathon.
There were 20,000+ participants globally.
I made the TOP 5, and then 130,000 people voted for Claim Watch to win first place ($7,500 prize).
First-week impact:
1,000+ active users
1,000+ settlements identified
$800k+ recovered for people
I built this during the hackathon, and now it seems to be turning into a real product.
Happy to answer questions about the tech, stack, or how the system works.

value: Show HN: I won Half Baked x Bolt Hackathon (20k participants) with Claim Watch


value: smusamashah

value:
Lots of apps like this on Android store, almost all are full of ads, and most don't detect high heart rates correctly.
It is totally made with Gemini, can save whole graph using localstorage.
I haven't put in more effort, will be using it because I need it and will therefore keep updating it with things I need.

value: Show HN: Heart rate with phone camera (plain HTML/JS)

author: smusamashah


value: thefoolofdaath

value: Show HN: SerpApi MCP Server

author: thefoolofdaath

title: Show HN: SerpApi MCP Server


value: cwkcwk

value:
I built Codesprint because I realized my raw WPM on standard typing tests didn't translate to coding. My muscle memory for prose was fine, but I was slow with brackets, semicolons, and indentation; the stuff that actually matters in a technical interview.
Codesprint is a typing tool specifically for code syntax. Instead of random words, it uses real LeetCode snippets (Two Sum, LRU Cache, etc.) so you're practicing realistic patterns.
The Tech: It’s built with Next.js, TypeScript, Chakra UI, and Framer Motion.
One interesting challenge was the scoring logic (lib/scoring.ts). Standard WPM assumes a word is 5 characters, but code is dense with symbols. I had to tweak the engine to handle indentation and "perfect word" streaks correctly to give a metric that actually feels fair for code.
I currently support Python, Java, C++, and JS. I’m looking to add Rust and Go next.
I’d love feedback on the typing "feel", specifically how the engine handles auto-indentation vs manual tabbing.
Thanks!

value: Show HN: Codesprint – A typing game for practicing coding interview syntax

author: cwkcwk


value: babush

value: Show HN: Anki Jam – Anki add-on for looping, pitch-shifting and drilling riffs

author: babush


value: minnix

value: Show HN: Dropper

author: minnix

title: Show HN: Dropper


value:
My team and I built Haven. It is a stripped down browser that only connects to verified financial institutions and blocks everything else. No extensions, no injected scripts, no overlays, no random third party code. It is not a general browser, it is just a controlled environment for banking and investing.
Why? I have spent years building browser extensions and know exactly how much power they have. The extension model is useful, but the security model is too loose and a single malicious install can see everything, rewrite everything, and mislead a user without leaving a trace. My dad learned that the hard way after installing a fake Zoom extension and then losing money from his banking account.
In addition to my dad’s story, the number of people adding AI into their current browsers or using AI native browsers is growing and offers amazing capabilities, but the risks are growing exponentially. I wanted to build a way for him and for anyone, from sophisticated users to normal users, to bank safely.
It is currently free for consumers as we learn how people use it and determine a future revenue model for providing secure sessions. At our core we believe in privacy, which is the reason we are building this product. We are funded by trusted and established investors including Google Ventures, Valley Capital Partners, and others.
If you want to try it the app is at https://starthaven.com.
Looking for people to test this out, get product feedback and feature requests!

value: Show HN: Haven – Banking needs a safer browser


value: icpay

value:
Hi all,
This is a shot in the dark but we have been building a Stripe alternative that works for agentic commerce and micro-transactions.
Would really appreciate it if:
a.) you can  our Github repo - https://github.com/icpay/icpay-sdk
b.) try it out and let us know what you think - its free to use
c.) share with your friends
Please reach out: hello@icpay.org with any questions or feedback!
Thank you :)

value: Show HN: Stripe for AI Agents

author: icpay

title: Show HN: Stripe for AI Agents


value: aaronds

value:
I like finding and reading about companies but struggle to find the time.
So I started a weekly poll: I pick an interesting company, show some key facts and figures, and let the community vote and discuss - overvalued or hidden gem? A few minutes a week to discover a new company or see what others think about one you know.
Starting with Palantir this week. Would love HN's take.
Cheers!

value: Show HN: Diamond or Dud – Vote on and discuss a different stock every week

author: aaronds


value: valliveeti

value:
We just open-sourced a browser agent that ranks #3 globally on the WebVoyager benchmark.
When we set out to build APIs for any website, we quickly realized that the existing browser agents were lacking in key areas. So we decided to build our own. After lots of iterations, we’ve made it to the other side and surpassed several far better funded teams to reach the podium, with a clear path higher.
We also have some more specialized agents in the pipeline that will be best-in-class for what they are.
Along with Giga 1, we are also releasing the underlying engine that lets you build custom browser agents of any complexity. You can run them locally, in Browserbase through the native integration, or bring your own provider.
Take a look, try Lindra Giga 1 out, and give the repo a star!

value: Show HN: We created the #3 browser agent

author: valliveeti


value: victornomad

value:
Hey HN,
I built Story Relay, a digital version of "Broken Telephone" where an LLM and an image generator pass a story back and forth.
The loop is simple: Text Prompt →→ Image Generation →→ Vision Model Description →→ New Text Prompt.
Curious to hear your thoughts!

value: Show HN: Story Relay – I made an AI play "Broken Telephone" with itself

author: victornomad


value: lvfrm

value: Show HN: A tool that time-blocks your todo list

author: lvfrm


value: marckocher

value:
Looking for feedback on a solo project. Thanks in advance!
Code: https://www.github.com/aare-ai
Demo: https://www.aare.ai

value: Show HN: LLM output validation (live demo)

author: marckocher


value: EthanAowlly

value: Show HN: TranscribeX – Local AI Transcription for macOS. Fast, Private, No Cloud

author: EthanAowlly


value: adamthehorse

value: Hey HN,<p>I built something that allows you to build arrangements for songs. You can create your own song too, and build setlists. It even comes with click tracks for each arrangement.

value: Show HN: Musicians! Build arrangements for songs with click tracks

author: adamthehorse


value:
I got back into church a couple years ago and would try taking notes with Apple Notes. It was a struggle trying to type notes while focusing on the sermon. Honestly, it would have been easier to write it in a notebook but in the end I built this iOS app to solve that problem.
You can record audio during a sermon (or upload files), and it transcribes using Whisper, then generates summaries, flashcards, and reflection questions tailored to Christian content.
The backend is Spring Boot + Kotlin calling OpenAI's API. Instead of deploying the backend through one of the cloud providers directly I decided to go with Railway. Users are notified with push notifications when their transcription and summary are completed. The iOS app uses SwiftUI and out-of-the-box SwiftUI components.
I worked with Spring Boot + Java a few years back when in fintech so it was cool to try writing something in Kotlin. I'm also a full-time Flutter dev that has been trying to get into Native iOS development and felt like I found a good use case for an app.
Currently only available in the US/Canada App Store. There is a free 3-day trial that you can use to give the app a go.
The goal was helping Christians retain more from sermons and build stronger biblical literacy.
Happy to answer questions about the architecture, AI prompting approach for Christian content, or anything else.
App Store link: https://apps.apple.com/us/app/bible-note-journal/id675227330...

value: Show HN: Bible Note Journal – AI transcription and study tools for sermons (iOS)


value: fasthightimess

value: Show HN: Vibe Code WP Plugins

author: fasthightimess

title: Show HN: Vibe Code WP Plugins


value: niceshot-ai

value:
Hi HN,
I solo-developed a Python tool that automatically finds and extracts key gameplay moments from long Call of Duty: Black Ops 6 gameplay videos. Saving hours of manual scrubbing through VODs to find highlights, kills, and other events.
The tool does these things:
Ingests long-form gameplay videos.
Applies computer vision to detect (kills, deaths, medals)
Generates raw highlight clips or compilations without needing manual trimming. Output: individual clips or a concatenated compilation
Performs bulk BO6 VODs analysis on a full Twitch channel.
GitHub (work in progress or demo repo): [https://github.com/karimm-ai/NiceShot_AI]
Would definitely love any feedback regarding the tool or monetization methods.
Thanks.

value: Show HN: A Call of Duty event clipper and compilation maker using Python and AI

author: niceshot-ai


value: asmodios

value:
BinaryStorage is a PHP binary key/value store designed for fast and efficient data access.
It supports any PHP serializable data, provides startsWith/contains searches, and includes data compaction to reduce disk usage.
GitHub: https://github.com/olivier-ls/binary-storage-php

value: Show HN: BinaryStorage – High-performance PHP binary key/value store

author: asmodios


value:
I built it for myself. After a lot of iterations, this is getting some traction.
It helps me organize my personal life.
Still trying to figure out what else it needs to do, and what can be improved.
Please provide feedback!

value: Show HN: A new AI driven task management tool


value: kyub

value:
AI coding assistants are productive but sloppy. They produce code that looks right but:
- Imports packages that don't exist
 - Uses placeholder functions that do nothing
 - Leaks patterns from JavaScript, Java, Ruby into Python
 - Leaves behind dead code and duplicates
 - Uses mutable default arguments
I built sloppylint to catch these "AI slop" patterns before they hit production.

     pip install sloppylint
     sloppylint .

It detects 100+ patterns across categories:
 - Hallucinated imports (20% of AI imports reference non-existent packages)
 - Placeholder code (`pass`, `...`, `TODO`)
 - Wrong-language patterns (.push(), .equals(), .forEach())
 - Mutable defaults, bare excepts, dead code
This isn't a replacement for traditional linters - it catches the specific mistakes AI makes that humans wouldn't.
https://github.com/rsionnach/sloppylint

value: Show HN: Sloppylint – A linter for AI-generated Python code

author: kyub


value:
This past year, I've become an avid Claude Code and Codex user. Over that time, I've repeatedly encountered a few frustrations:
* When I provide long, detailed protocols in prompts or CLAUDE.md / AGENTS.md files (e.g. make a plan, implement, test, debug, git commit, etc...) the agent will often skip or handwave steps.
* Often I'll find myself repeating the same patterns of prompts repeatedly. Examples: "diagnose the error" followed by "fix it", looping back and forth between "implement this spec" and "audit the implementation against the spec"
* The agents are fairly limited in terms of scope and max time spent on a per-prompt basis. This makes it challenging to set up long autonomous runs, e.g. overnight.
Today I'm happy to share *FlowCoder*, the project I've been working on to address these issues. FlowCoder allows you to create and execute custom automated workflows for Claude Code and Codex, via a visual flowchart builder. I am hoping this project can both help vibe coders scale their results and enable autonomous agent research by building on top of existing coding agents.
FlowCoder lets you set up slash commands to execute flowcharts of prompts and bash commands. These flowcharts have a fair number of features:
* The core building blocks are Prompt blocks, which send prompts to Claude Code or Codex, and Bash blocks, which run bash commands.
* FlowCoder keeps track of variables while executing flowcharts. Prompt blocks allow you to enforce the agent to respond with structured output to assign variables values, and Bash blocks allow you to save the bash output and/or exit code to variables.
* Branch blocks let you configure a boolean expression with these variables, splitting the flowchart into True and False paths.
* Flowcharts can accept CLI-style string arguments, and all blocks support syntax for argument substituion and variable substitution. So for example, you can create a prompt block that says "Create a spec for this task: $1" and it will substitute the first argument you pass in. README explains more.
* Command blocks allow you to call other slash commands from within your flowchart. FlowCoder maintains a stack of flowcharts to handle command recursion.
* Flowcharts also support Refresh blocks for resetting context and Variable blocks for initializing/setting variables.
* FlowCoder automatically creates a git commit after each Prompt or Bash block.
I've included a number of examples in the repo to help users get acquainted with the system, showcasing prompting paradigms like implement-audit loops and test-fixing loops, and programmatic paradigms like for-loop behavior. README explains more.
Note that these example flowcharts are not "optimized". They are a starting point. Flowcharts provide a huge amount of expressive power. You can encode the specifics of how you like to approach your software engineering practice, whether you prefer to vibe code in small chunks or large autonomous sequences. I have my own set of flowcharts I've been developing for my own practice, and I've seen significant gains as I've been going through the process of optimizing these flowcharts' structures and prompts.
I hope others can benefit from this work or may want to contribute! The project is still very young (v0). The codebase is in alpha and should be assumed to be UNSTABLE. It has been tested on Linux and WSL. Feel free to post any issues you encounter on the GitHub. Currently, I am using this version of FlowCoder to develop the next version of FlowCoder, an Electron-based version with a better-planned architecture and additional features (multi-agent/parallel workflows, CLI, UI improvements).
More info: https://youtu.be/1COOR6UmpsY

value: Show HN: FlowCoder – Flowcharts for "Programming" Claude Code and Codex


value: michalwarda

value:
Hey, we've created an interactive game generated fully with AI sounds.
You can play it @ https://qforge.studio/the-doorstep
There's also a builder if you want to build games like that yourself @ https://qforge.studio. For now it's completely free and no login required so you can just jump in and build. Would love some feedback!

value: Show HN: The Doorstep – Voice RPG

author: michalwarda

title: Show HN: The Doorstep – Voice RPG


value:
Hey HN,
I built NeuroLint, a CLI tool that automatically fixes common React and Next.js issues using deterministic AST transformations, no AI, no rewrites, no breaking changes.
It handles 50+ issues across 7 layers:
- Hydration errors (window/document/localStorage guards)
- Missing React keys
- Console.log cleanup
- Unused variables
- Accessibility improvements
- Next.js App Router 'use client' directives
I also just shipped a one-command fix for CVE-2025-55182 (the CVSS 10.0 React Server Components RCE that dropped this week):

    npx @neurolint/cli security:cve-2025-55182 . --fix

How it works:
- Parses your code with Babel AST
- Applies rule-based transformations
- Creates backups before any changes
- Shows transparent diffs
GitHub: https://github.com/Alcatecablee/Neurolint-CLI
npm: https://www.npmjs.com/package/@neurolint/cli
Site: https://neurolint.dev
VSCode: https://marketplace.visualstudio.com/items?itemName=neurolin...
Would love feedback from the HN community. What's missing? What would make you trust a tool like this on your codebase?

value: Show HN: NeuroLint – CLI that fixes React/Next.js issues automatically (NO AI)


value: rokontech

value: Automatic events, automatic analytics PR, your dashboard ready (even with funnels)

value: Show HN: Middlerok Turns Your GitHub Codebase into a Complete Analytics System

author: rokontech


value:
I wanted to see how I use ChatGPT and Claude, so I built a tool that generates a "Spotify Wrapped"-style summary from your Claude or ChatGPT data export.
Upload your export ZIP, get beautiful cards showing your stats – total conversations, peak usage hours, and an AI-generated persona based on how you use AI.
Live site: https://aiwrapped.co
The export is parsed entirely client-side – your conversation history never leaves your browser. The only data stored (for sharing) is the aggregated stats you see on the cards. Persona generation sends session titles and the first few messages from a sample of conversations to Claude's API.
Made this open source so you can verify how your data is handled: https://github.com/akshayvkt/aiwrapped
This is my first time building in public, so I would love any feedback.

value: Show HN: Spotify-style Wrapped for Your Claude/ChatGPT History


value: njfdev

value:
Hey HN!
I’m Nicholas Fasching, a young hobbyist developer of almost a decade now! I am not satisfied sitting around and doing nothing, so going into 2025, in January of this year, I began planning my next big project.
I wanted something difficult that I could put a lot of time into, where I could use my programming skills to make something happen in the real world. Thus, I settled on making a drone, lovingly called Tacocopter. But this wasn’t just any drone. I was going to fully program the flight controller from scratch, and to make it even harder, all in Rust!
After some research, I started my journey by only ordering the parts for the brains of the drone: a Raspberry Pi Pico 2 microcontroller with various sensors (IMU, barometer, an ELRS receiver, and a GPS module). I put together all these parts on a breadboard, then I began to program the foundation I would need for when I would order the actual drone parts in the future.
I had 4 main interesting challenges during this phase:

    1) How to actually program a Pico in Rust? - Rust isn’t commonly used here, as you’d traditionally use something like MicroPython or C++ in the Arduino IDE. But, I ended up discovering and using a lower-level Rust framework called Embassy, which took more effort but also taught me a lot about embedded programming.

    2) Debugging and controlling the flight controller? - Rust embedded development has few solutions for debugging, and after much research and experimentation, I ended up developing a custom desktop app in Rust that would control and communicate with the flight controller over USB with a custom data protocol.

    3) How to use the GPS module? - I ordered an HGLRC M100-5883 GPS, but it had a connector I couldn’t connect anywhere, so I ended up carefully disassembling the wires from the connector and “Frankensteining” them with some other jumper wires I had. I also had the issue that there were absolutely no pre-existing libraries for this GPS already written in Rust. So, I had to read lots of documentation and write my own driver in Rust, which taught me a lot about hardware communication interfaces and how GPS positioning actually works!

    4) How to get radio controller signals? - I ordered an ELRS-compatible transceiver along with an ELRS controller. Similar to the GPS, there was no existing Rust code for the ELRS protocol, and so I had to program it on my own. Unfortunately, the documentation was much less clear, and I ended up having to make some educated guesses and read code examples from existing libraries. It was a struggle, but it was super gratifying to see my controller inputs appear in real time!

I also got all the other necessary prerequisites, such as using the IMU to estimate the drone’s orientation with a Kalman filter and getting altitude measurements from both the ultrasonic sensor and barometer.
I was finally ready to order the drone parts, and after much deliberation, I decided to go with the HolyBro S500 kit. I wanted a bigger drone so I could have enough room for my somewhat large flight controller (because it was on a standard-sized breadboard). By this time, it was June, and when my order came, I began my 2-month-long grind over the summer to make it fly.
By this time, I had heard about Hack Club’s Summer of Making program, and having taken part in previous Hack Club programs before, I excitedly took part. One of the biggest positives I got out of it was that it forced me to regularly document my work (which is a skill I wish I had developed earlier in my life).
Anyway, my new challenge was how to control the brushless motors. I ended up deciding on controlling them through a digital protocol called D-Shot, which provided the benefits of faster control and more reliability compared to other methods. I initially tried programming the protocol myself (which was a miserable failure), but came across an existing implementation for Embassy! Unfortunately, it had some bugs, but using a logic analyzer and my time, I was able to fix them. Thus, I had working motor control!!
I then spent about the next 2 weeks trying to get it flying in my room (while trying not to annoy everyone in the house with its tremendous noise!). During this process, I had lots of PID tuning and code tweaks.
But, at one point, I had one big failure that made me rethink some shortcuts I previously made. In these earlier tuning phases, my wiring was messy, and some of the wires stood up so tall that if there was a sudden jolt, they could go into the spinning blades. I had a bug in my code that could make it freak out if it accidentally spun too much, and during a test flight, one of the landing legs bumped the ground, causing it to spin and trigger that bug…
The drone aggressively spun around, and I heard the ELRS transceiver get ripped off and flung across the room. Luckily, I had previously programmed a safety measure to disarm the drone if the ELRS signal was lost, which it did (this may have been worse if I hadn’t). After inspection, both the antennae on the transceiver were ripped off, with one of the pads torn off in the process. Since the transceiver had a backup antenna pad, I was able to, and still, use this same transceiver. But this event definitely spooked me and taught me not to take shortcuts when dealing with something potentially dangerous. Therefore, I completely redid the wiring to be much safer before continuing to fly.
Following this, I was able to get it flying…finally! I spent some time trying to get it to automatically hold its vertical position (but I have postponed this feature because I decided there were more important things to work on). I also had to make a custom driver and modify a connector for the PM02D power module, which allows me to supply the correct voltage to my board and estimate battery charge so the drone doesn’t die while I’m flying it.
But my biggest issue was stability and reliability, which was my most frustrating problem, taking almost 2 months to figure out. I had 3 major crashes, each breaking propellers (causing me to have to order new ones). These were mostly caused by buffer overflow errors mid-flight due to my UART implementation for the ELRS transceiver and GPS.
In terms of stability, it was very shaky (which caused the motors to dangerously heat up). I assumed for the longest time that this was a PID tuning issue, and I spent an insane amount of time developing an onboard logging system to help me better tune (I could make an entire extra write-up about all the issues I had with that).
Alongside this, I tried optimizing my code to make it faster, including techniques such as multithreading my code across the Pico’s two cores, overclocking its base speed of 150MHz to 300MHz (which took surprisingly a lot of effort), and greatly increasing the ultrasonic sensor performance by writing a custom PIO (Programmable I/O) assembly program for it (I learned a lot about PIO and it is quite interesting if you ever work with Raspberry Pi Picos!).
These optimizations allowed me to increase the control loop speed from 250 Hz to 500 Hz, and that made my drone fly beautifully! The issue before was that it just didn’t update fast enough! Now, the motors no longer get extremely hot, and the drone is flyable. I found that it is actually just fun to fly, and that is currently my biggest use for it.
I then made a showcase video and uploaded it to YouTube (https://www.youtube.com/watch?v=A8tR219AC94), as well as submitted my project to the Hack Club Summer of Making program: https://summer.hackclub.com/projects/1496
This was the most fantastic project I have ever worked on! I learn so much, including embedded programming in Rust, writing custom drivers with little to no documentation, and learning that taking shortcuts can be dangerous.
I have some special compute and vision hardware, and I plan to add some autonomous flight and environmental mapping in the future.
I hope you enjoyed my journey, and I’d love to hear your thoughts and feedback!

value: Show HN: Tacocopter – My Custom Flight Controller Programmed in Rust

author: njfdev


value: ashfromsky

value:
Hi HN! I built AcquireMock – a self-hosted mock payment gateway for developers who need to test payment integrations without dealing with sandbox APIs or API keys.
The problem: When building e-commerce features, you often need to test payment flows. Sandbox environments from providers like Stripe work great, but they require API keys, have rate limits, and don't work offline. For educational projects, MVPs, or demos, this is overkill.
AcquireMock simulates a full payment flow including:
- Beautiful checkout UI (dark mode, 4 languages)
- OTP verification via email (optional)
- HMAC-signed webhooks with auto-retry
- Card storage for returning customers
- Docker deployment in one command
Tech stack: FastAPI, PostgreSQL, SQLModel, Jinja2. Everything runs locally with docker-compose up.
Use cases:
- Testing payment flows in development
- Learning how payment gateways work
- Building MVPs without PSP setup
- Creating payment demos for clients
The test card is 4444 4444 4444 4444 (any CVV/expiry works). There's an interactive test page at localhost:8000/test.
This is explicitly NOT for production – it's a mock for testing only. When you're ready for production, you'd swap it out for a real PSP like Stripe or Fondy.
I'd love feedback on the approach and feature requests! The repo includes full API docs and examples of webhook verification.
GitHub: https://github.com/illusiOxd/acquiremock

value: Show HN: AcquireMock – Self-hosted mock payment gateway for testing

author: ashfromsky


value: mednosis

value:
Hi HN! I built Tranzia because I always wondered: “What’s the safest route to take at night?”
Tranzia scores routes (0–10) using official crime data, nighttime visibility, walking exposure, station safety history, and anonymized user feedback. It currently supports NYC and London.
Under the hood it uses H3 spatial indexing, percentile-normalized crime distributions per city, and a transparent scoring formula (55% crime, 20% time of day, 15% walking, 10% feedback). Every route includes a breakdown of why it scored that way.
Would love feedback on the model, data normalization, and extending this to more cities. Live demo here.

value: Show HN: Tranzia – Safety-Scored Routes for NYC and London Using Real Crime Data

author: mednosis


value: stackws

value:
Tuned.ws is a desktop app and a web app, I’m building to turn raw artist data into an “AI growth strategist” for musicians.
Instead of logging into multiple dashboards and spreadsheets, you export your data (Spotify for Artists, Apple Music, etc.), drop the CSVs into Tuned.ws, and then chat with an AI that actually understands your numbers. It can surface trends, suggest release/marketing moves, and explain why certain tracks or cities are performing the way they are.
Demo video: https://tuned.ws/demo
Right now Tuned.ws can:
 • Ingest platform CSV exports (starting with Spotify + Apple Music)
 • Auto-build a dashboard with top tracks, cities, and trends
 • Let you ask free-form questions about your data in a chat (“Why did this track spike?”, “Where should I focus ad spend?”)
 • Generate strategy-style insights in plain language for non-technical artists/managers
It’s still in beta and focused on solo artists/indie teams. I’d love feedback from HN on:
 • Where the insights feel useful vs. generic
 • What data sources you’d expect next (TikTok, IG, YouTube, radio, etc.)
 • Any obvious “this will never scale because X” concerns
Happy to answer technical/product questions in the comments.

value: Show HN: Tuned.ws – AI growth strategist for Spotify/Apple Music artists (demo)

author: stackws


value: I built a lightweight superscript generator that lets you convert any characters — numbers, letters, or symbols — into superscript text using Unicode. No sign-up, no tracking, just instant copy & paste. Useful for math notes, scientific writing, usernames, markdown, and anywhere HTML isn’t supported. Feedback welcome.

value: Show HN: A Superscript Generator That Works with Any Text, Symbols Included


value:
Worth 1:41 if you infra is part of your world.
https://youtu.be/8LDu3TOfcW4
lets talk about it.
~duane

value: Show HN: Day 0 of Walkable Infrastructure


value:
Hi HN,
Everyone loves CLI! I recently started to use Rust write CLI tools and I really enjoy it. But sometimes it's convenient to also have the tool available in a browser so that I can share it to other non tech savvy people, and also for myself to use on mobile phones. So I write a tool to automatically generate a web UI for Rust CLI projects if it's using Clap (https://docs.rs/clap/latest/clap/) to parse the cli args. It reads the Clap command and generate HTML input elements for it. Everything runs in the browser through WASM without a need of backend.
Here is the project: https://github.com/wb14123/clap-web-gen . Any feedback is welcome!

value: Show HN: A Web UI Generator for Rust CLI Projects


value: Show HN: macOS Window Managers Directory


value:
Hi HN,
I built NanoAI because I was frustrated with the fragmented workflow of AI art. I found myself constantly context-switching between Midjourney (for generation), Photoshop (for fixing errors), and other web tools (for upscaling or background removal).
My goal with NanoAI is to solve this by unifying the entire lifecycle of an image into a single interface.
What it does:
All-in-one Workflow: Generate, edit (in-paint/out-paint), and upscale without leaving the canvas.
Granular Control: Instead of just re-rolling prompts, you can fix specific parts of an image instantly.
Browser-based: No local installation or complex ComfyUI node setup required.
I'm trying to validate if this "integrated" approach is actually faster for professional workflows compared to using separate tools.
I’d love to hear your feedback on the UI/UX and what features are missing from your current stack.

value: Show HN: NanoAI – Unified AI Image Workspace (Generation, Inpainting, Upscaling)


value: patrickdavey

value:
I've been having fun building out a really simple chess learning app for my daughter (7).  It started with just "maze like" puzzles [1] and I've added a few more.
This "radioactive pooping knights" idea came from an Irish primary school chess website [2].  Really simple idea, two knights moving around the board leaving poo behind... Don't be the one forced to step on it.
* best played with sound on.
[1]. https://minichessgames.com/#/movement/knight
[2]. https://ficheall.ie/
 *highly subjective, may not be better for you to play with sound at all ;)
p.s. Any "buy me a coffee" goes to my daughter.  Annoyingly they only pay out once you get above $10 USD and I think it's currently sitting at 9.85 or something!

value: Show HN: Radioactive Pooping Knights

author: patrickdavey

title: Show HN: Radioactive Pooping Knights


value: heavymemory

value:
I have been experimenting with structural reasoning and built a small engine that learns rewrite rules from only two examples. You provide a pair of before and after expressions and it works out the transformation and applies it to new inputs. There is no LLM, no regex and no hard coded logic.
The demo includes:
TEACH (learn a rule from two examples)
COMPOSE (several learned rules used together)
TRANSFER (a rule learned in algebra also works in logic and sets)
SIMPLIFY (multi step deterministic rewriting with a visible trace)
CODEMOD (teaching a codemod from two examples)
It runs on a CPU and produces a reasoning trace for every step.
I would be interested to know what people think or where it breaks.
Demo: https://re.heavyweather.io

value: Show HN: A small reasoning engine that learns rewrite rules from two examples

author: heavymemory


value:
We launched Flexy because we got tired of watching startup founders waste weeks hiring contractors for small, urgent development tasks. Here's the problem we saw repeatedly:
A critical bug needs fixing today. You spend 3 days interviewing freelancers on Upwork.
You need a quick API integration. The freelancer goes dark mid-project. You hire an agency, pay 5x markup, wait 2 weeks.
Your engineer is drowning in tech debt work. You want to outsource it, but hiring and managing contractors is almost as much work as doing it yourself.
Our solution: We productized software development. Instead of hiring or negotiating with vendors, you describe your task, get a fixed-price quote instantly, and a vetted developer gets to work. Most tasks ship in 1–3 days. No contracts. No management overhead. No surprises. We've delivered:
- Bug fixes (critical production issues resolved within hours)
- API integrations (Stripe, Twilio, third-party platforms)
- UI/UX updates (responsive design, polish work)
- Database optimization (queries cut from 2s to 50ms)
- CI/CD automation (teams going from manual deploys to daily shipping)
- Test infrastructure (legacy code now covered with automated tests)
The model:
We vet developers across multiple tech stacks (.NET, Node.js, React, Python, Go, etc.). When you submit a task, we match it to the best developer for your stack and requirements.
Everything is transparent pricing—no hourly rates, no scope creep. Why this works better than alternatives:
- vs. Freelancers: Variable quality, unpredictable timelines, no recourse if work is bad
- vs. Agencies: Expensive, slow, overkill for small tasks
- vs. Hiring: Takes weeks, adds payroll, you're stuck with capacity you don't need
Traction:
Early users include Y Combinator startups, bootstrapped SaaS founders, and digital agencies managing multiple client projects.
Customers report:
50% faster turnaround than traditional hiring
30-40% lower cost than agencies
Team focus stays on features, not maintenance work
We're starting with small dev tasks, but the vision is bigger: make it frictionless for any software business to access expert help on-demand, at any scale. You can see it here: https://www.flexytasks.dev/
We're in early launch and actively looking for feedback from the HN community.
What small dev tasks are slowing you down right now? What would make outsourcing actually appealing to you?

value: Show HN: Flexy – We Built a Faster Way to Get Small Dev Tasks Done


value: ephf

value:
Hello, recently I have been creating my own new C-like programming language packed with more modern features. I've decided to stray away from books and tutorials and try to learn how to build a compiler on my own. I wrote the language in C and it transpiles into C code so it can be compiled and ran on any machine.
My most pressing challenge was getting a generics system working, and I seem to have got that down with the occasional bug here and there. I wanted to share this language to see if it would get more traction before my deadline to submit my maker portfolio to college passes. I would love if people could take a couple minutes to test some things out or suggest new features I can implement to really get this project going.
You can view the code at the repository (main link) or go to the website (http://quar.k.vu) for some documentation.

value: Show HN: A New Language Compiler: Quark

author: ephf

title: Show HN: A New Language Compiler: Quark


value: karanzkk

value:
Hello everyone,
I’m Karan — officially a Frontend Developer, but honestly, I relate more to being a Design Engineer because crafting beautiful interfaces is what I love most.
When I began my coding journey, frontend instantly hooked me. I stuck with it because it felt like the perfect blend of logic and creativity. However, over time, I noticed something interesting: many of my developer friends dreaded writing CSS. Building clean, polished UIs takes time, patience, and a ridiculous amount of pixel-perfect tweaking.
Yet, those same friends still wanted their projects to feel premium — smooth animations, modern layouts, and a top-tier user experience.
That got me thinking…
“What if anyone could drop stunning animated components into their site — without needing deep CSS knowledge?”
Fast forward six months of late nights, trial and error, and way too much caffeine… and that idea became ogBlocks.
ogBlocks is an Animated UI Library for React, packed with components that look premium and feel production-ready right out of the box.
You’ll find navbars, modals, buttons, feature sections, text animations, carousels, and tons more — all designed to instantly level up your UI.
I know you'll love it, just check it out
Best
Karan

value: Show HN: Ogblocks – Create Jaw Dropping UIs with Simple Drag and Drop

author: karanzkk


value: zigser

value: Show HN: Tiny Benchmarking Lib for Zig

author: zigser

title: Show HN: Tiny Benchmarking Lib for Zig


value: ljubomir

value:
I routinely use ChatGPT, Claude, Gemini and Grok. But I don't have a way to track which conversation I had with which LLM. The only way to find the conversations, that I know of, is to login to each LLM and search. This is tedious/waste of time.
The llm-history-search Chrome extension and accompanying Web site search your past conversations across the four LLMs. The extension
automatically keeps track of the conversations locally.
To install/use:
1. Install the llm-history-search Chrome extension (easiest: just visit conversai.us and it has the link to the extension)
2. Visit and use ChatGPT, Claude, Gemini, or Grok. Conversations are automatically captured in the background and stored in Chrome local storage on your disk
3. Point Chrome to conversai.us and search your conversations by keywords
github: https://github.com/ljbuturovic/llm-history-search

value: Show HN: Chrome extension for searching past conversations across LLMs

author: ljubomir


value: haferfloq

value: Show HN: OpenAI-compatible API hosted on German bare metal (GDPR-compliant)

author: haferfloq


value: grazulex

value:
Hey HN,
If you work on multiple Docker projects, you've probably dealt with the "port 3306 is already in use" frustration. I built StackMark to solve this once and for all.
StackMark is a CLI that manages your Docker Compose stacks with automatic port allocation starting from 9000. No more conflicts, no more hunting for which container is using which port.
Key features:
- Automatic unique port assignment per stack
- Interactive TUI dashboard with real-time status
- Smart auto-detection (run commands from any project folder)
- Built-in templates for Laravel, Symfony, Node.js, WordPress
- Local hosts management (/etc/hosts sync)
I work on 5-6 Laravel projects simultaneously and this has been a game changer for my workflow. Start a stack, get your ports, forget about it.
npm install -g @grazulex/stackmark
Would love feedback from people managing multiple Docker environments. How do you handle port allocation today?
https://stackmark.tech

value: Show HN: StackMark – Docker stack management CLI with auto port allocation

author: grazulex


value: DLS is the "Anti-Agency" for solo founders.<p>While most AI tools just spit out generic icons, DLS creates a complete Design Language System—logo, palette, typography, and UI components—rooted in "Indie Magic." Trained on 2,000+ winning indie brands, our AI agent replaces weeks of agency back-and-forth with a 6-question chat. It’s built for the founder with 45 minutes and $2k in the bank who wants speed without shallowness. Ship a brand that slaps, instantly.

value: Show HN: Design Language System (Waitlist)


value:
A comprehensive developer-first prompt management tool with git-like version control<p>- Local prompt management with version control - Markdown format support for all prompts
- Automatic directory creation on first run
- Full version history tracking - Multiple prompt operations (create, update, retrieve, list, delete)
- Variable substitution with Jinja2 templates
- Tag/label system for easy version references
- Project-based organization for prompts and secrets - Git-style diff visualization

value: Show HN: Promptv (local first prompt & .env management)


value: obezzad

value: Show HN: A planner that only shows tasks you can actually do

author: obezzad


value: stagas

value: Show HN: Infinite Lofi Generative Music

author: stagas

title: Show HN: Infinite Lofi Generative Music


value: porterh

value: Show HN: Prophit – The AI Search Engine For Stocks

author: porterh


value: tomstig

value: Show HN: How to play imposter game with impostergame.win

author: tomstig


value: Show HN: Know your employees skills gap and boost retention rate


value: crovia

value:
Today we're releasing Crovia Spider v1: an open-core forensic tool that digs into existing public AI datasets (2024–2026) for license hints, provenance signals, and compliance holes – no new crawls, no private data touched. Just verifiable clarity on what's already out there.
Gran it on LAION-5B (the backbone of Stable Diffusion, etc.):
Unverified CC-BY 4.0 / 3.0 licenses
Tens of thousands of "unknown" entries
Mixed variants with zero audit trace
First-ever Compliance Score: 14/100 (every model on it inherits the risk)
Real receipts (e.g., cid:url_sha256:c7cc5b0acf8330e51ffd1ed02f108e6a9649e13ed3547a14255dad6bdf7f01c5 → cc-by-4.0 unverified).
Why? EU AI Act hits 2026: models need reproducible evidence, transparent licensing, and Annex IV bundles. Spider outputs audit packs that plug straight into Crovia Trust (offline Merkle proofs <30s). All Apache 2.0, CLI-ready.
Reproduce it: crovia-spider from-laion --output receipts.ndjson on your dataset. Brutal feedback? Integrations with HF/FAISS?
Let's build the governance layer AI deserves.
Repo: https://github.com/croviatrust/crovia-core-engine
(Real receipts extracted via Crovia Spider)
cid:url_sha256:c7cc5b0acf8330e51ffd1ed02f108e6a9649e13ed3547a14255dad6bdf7f01c5
License: cc-by-4.0 (unverified)
cid:url_sha256:267ad746f168458aa6aca730d82dd565ba0dbada0107317d2252d3b60d57fade
License: cc-by-sa-3.0 (unverified)
cid:url_sha256:8bad9a02f5b4b1e08e19a6417bd6fb03576c80a80deef4f4a1ca868eb9265e71
License: unknownDocs/Spec: docs/CROVIA_SPIDER_RECEIPT_v1.md
#AIGovernance

value: Show HN: Crovia Spider v1 –Forensic crawler exposing compliance gaps in LAION-5B

author: crovia


value: Daffactor

value:
Hi! This is an experimental learning project I've been working on.
NANO.NOQ is a very small binary container format for AES-GCM keys.
The entire implementation is inside a single HTML file using WebCrypto
(no backend, no external dependencies).
The .noq file format is simple:
- header (“NOQ1”)
- key length (2 bytes)
- raw AES-256-GCM key
- a 4-byte integrity slice (from SHA-256(key))
- 32 bytes of random padding
The project does NOT add new cryptography on top of AES-GCM.
It's purely an experiment in designing a file format for storing keys
separately from ciphertext without copy/paste.
There's also a mutation step for Base64URL ciphertext, but it is
obfuscation only and not meant as a security layer.
I’m not a professional programmer — I built this with AI assistance
as a way to learn about key storage formats, integrity fields,
and browser-based crypto workflows.
Feedback, corrections, and criticism are very welcome.

value: Show HN: Nano.noq – Experimental key-container format

author: Daffactor


value: daviducolo

value: Show HN: The notepad that thinks in numbers

author: daviducolo


value: ben-gy

value: Show HN: Apple OS 1 inspired personal website

author: ben-gy


value: theaitch

value:
I created Megafrost because I didn't want to continue paying extortionate prices to keep a backup of my images and videos. For instance, Google Drive charges $20/year for 100GB but that is way more than what it actually costs. Google Cloud offers cheaper storage to businesses: Archive Storage costs $1.44/year for 100GB!
So I just made an Android app that wraps that Archive Storage and integrates with Google Pay. The complexity of Google Cloud is gone and any person can now take advantage of its low pricing.
The only catch is that once you need to restore any image or video, you have to pay for that separatelly. This is because Google Cloud charges for downloading traffic (not for uploading). But it's not really a problem because the gallery of the average user fits in the storage of a modern phones so you will only have to restore in case of disaster.
What are your thoughts? Would you be happy with this pricing model?

value: Show HN: Megafrost – A Controversial Backup Service

author: theaitch


value:
Hi HN! We’ve been building RealDeed, a system that represents real-estate ownership information as blockchain-based digital twins.
This is created under a DIFC Innovation Licence (DLT Technology Category).
It does not offer financial services, trading, fractional sales, or fundraising.
Its sole purpose is to demonstrate structured property data mapping into non-custodial digital assets.
What RealDeed does (in one line)
RealDeed converts key property information from title deeds and registry documents into non-custodial on-chain digital twins on the XRP Ledger and BNB ERC-20.
Why we built this
Real-estate data today lives inside:
PDFs, scans, and images
Fragmented registry systems
Offline exchanges between owners, brokers, and lawyers
This makes it difficult to:
Verify or share structured property information
Build automated workflows that depend on property-level attributes
Integrate property data with modern software, CRMs, or compliance tools
Property is valuable — but digitally, it behaves like a static file.
There is no programmable or interoperable representation of property information.
Our approach
RealDeed focuses on data integrity and interoperability, not investment or trading.
It works by:
Ingesting property metadata (parcel ID, area, coordinates, ownership info, etc.)
Normalising it into a structured schema
Minting a digital twin token on:
XRP Ledger
BNB Smart Chain (ERC-20 standard)
Linking the token to hashed off-chain documents
Allowing owners or developers to view and verify mappings through a clean interface
Digital twins can reflect:
land area / square meters
possession or occupancy status
a registered security or hypothecation interest
owner-declared metadata
Tokens stay fully non-custodial in the user’s wallet; RealDeed does not hold or manage them.
What RealDeed is NOT
To avoid confusion:
Not a token sale
 Not fractional ownership
 Not an investment scheme
 Not a marketplace
RealDeed is strictly focused on data mapping, digital twin representation, and interoperability workflows.
Try it
Users can:
Enter property metadata
Generate a digital twin on XRP or BNB testnet
View the data-to-token mapping
Download a digital twin certificate for verification

value: Show HN: Tokenization of Real Estate on Blockchain


value:
It covers:<p>- hreflangs
- lang alternates / x-default
- html lang and dir tags
- sitemap lang alternates / x-default
- robots.txt detection of forgotten routes (/dashboard vs /fr/dashboard)<p>I’m planning to go deeper by checking all internal website links and scrolling all pages to perform a complete analysis. But I’m happy to get your thoughts already

value: Show HN: Scanner SEO Internationalization (Free)


value: supersuryaansh

value:
Hi guys,
Wanted to share a project I have been working on for a while https://github.com/holesail/holesail
It is a lightweight reverse proxy similar to Ngrok but works over peer-to-peer tunnels and requires absolutely no configuration.
No port forwarding, no VPNs, no servers in the middle just a direct, end-to-end encrypted connection between two peers using a simple connection key.
It supports both UDP and TCP and runs on Linux, Mac, Windows, Android and iOS and has a Node API that can be used to integrate it into any Android, iOS or CLI app.
The goal is to make Holesail the go-to solution for developers, and self hosters who need fast, reliable, private connectivity.
Some of the stuff I use it for:
1. Accessing self hosted services such as Immich, Vaultwarden, Jistsi Meet, Paperless ngx, Portainer, Filegator
2. Playing LAN games over the internet, like Minecraft and Stardew valley
3. SSHing into my servers
4. Server security
Features:
1. Cross platform i.e. Android, iOS, Linux, Windows, Mac
2. Open source
3. Supports both TCP and UDP
4. Unlimited traffic (as much as your router and server can support)
5. Unlimited bandwidth (as much as your ISP gives you)
6. No servers
7. No accounts
8. Not a vpn
9. Can punch through firewalls and CGNAT
10. Integrate into other apps with Node API
It is the perfect alternative to Tailscale, Cloudflared, Ngrok or any other tunneling tool that otherwise works over ssh or servers.
Would love to hear feedback from anyone working with networking, P2P systems, or tunneling tools.
Happy to answer any questions!
Thanks

value: Show HN: Holesail – open-source peer-to-peer tunnels

author: supersuryaansh


value: In modern distributed systems, static data is vulnerable. If data resides on a specific server (even in decentralized networks like IPFS), that node becomes a target for censorship, seizure, or physical failure. Static storage = Single Point of Failure. Wanderer Data Preservation (WDP) is a protocol where data is never static. It exists as a "traveling wave" across the network topology.

value: Show HN: WDP – A protocol where data migrates to survive seizure


value: tazer

value: Show HN: GitHub Organisation Years in review stats

author: tazer


value: pankajdoharey

value:
I constantly share raw GitHub install scripts, but I didn’t want another backend URL shortener. Shorty is a single HTML page that normalizes raw.githubusercontent.com or
  github.com/blob URLs, tokenizes the path with jsTiktoken, and remaps tokens through the Unix words list plus a couple of glyph sets to keep the shortcode tiny. No storage, no API
  keys—just a deterministic mapping you can host from GitHub Pages.

    What’s different:
    - Canonicalizes github.com/blob links into their raw equivalent automatically.
    - Uses TikToken + Unix dictionary matches to compress owners/repos/paths, with Unicode or box-drawing glyph sets (hash vs. query) for legibility trade-offs.
    - Everything is client-side: paste a URL to get both the shortcode and ready-to-share link; paste a shortcode (hash or query) and it auto-decodes with a 3‑2‑1 redirect
  animation.
    - Ships with a tiny `embed-shorty.js` so you can drop the decoder onto any page.

    Try it at the link above or grab the code: https://github.com/metacritical/shorty

value: Show HN: Stateless TikToken and Unix-Dictionary GitHub URL Shortener

author: pankajdoharey


value: liam-gray

value: Based on the much loved xkcd #1205, and useful for convincing someone that AI tool is worth it or that task should be automated.<p>If you spend 5 mins/day on something, it might be worth spending $87/month on a subscription to automate it for you!

value: Show HN: isitworththetime.com – Calculate if automating saves time

author: liam-gray