value: konsalexee

value:
My friend and I grew frustrated with the high cost of existing pair programming tools, and of course of grainy screens when we used Huddle or similar tools.
We believe core developer collaboration shouldn't be locked behind an expensive subscription.
So for the past year we spent our nights and weekend building Hopp, an open-source alternative.
We would love your feedback and we are here to answer any and all questions.

value: Show HN: We built an open-source alternative to expensive pair programming apps

author: konsalexee


value: sixhobbits

value: Show HN: Flash Photoshoot Bot (Telegram Bot)

author: sixhobbits


value: Show HN: FlatGem, a free GUI to bulk-process local files with Gemini API


value:
You brainstorm in ChatGPT, debug in Cursor, try a new coding agent and re-explain everything from scratch. With every new AI tool, the cost of context switching grows.
2 months ago we launched CORE: an open-source, personal, portable memory layer for individuals designed to work the way humans think: context-rich, evolving, and shareable across AI tools.
We evaluated CORE using the LoCoMo benchmark, a rigorous test involving 1,540 questions across 10 multi-turn conversations. Achieving an overall accuracy of *88.24%*, CORE outperformed existing systems in all categories:
- Single-hop recall: 91%
- Multi-hop reasoning: 85%
- Temporal understanding: 88%
- Open-domain synthesis: 71%
- Overall: 88%
For detailed info on our approach, architecture, and the full benchmark results check our blog post.
Try it and give us some feedback:
- Hosted free tier (HN launch): https://core.heysol.ai
- Local: docker compose up from https://github.com/RedPlanetHQ/core

value: Show HN: Core – open-source memory graph for AI agents (88.24% SOTA on LoCoMo)


value: lakshikag

value:
The very first thing I do when starting a new project is add analytics. I want to know if anyone is actually using it and how.
The worst part about most analytics platforms is that even their free plans come with strings attached. Limited to just a few thousand events per month, or worse, your data gets wiped after 30 days. That’s useless if you care about long-term growth. Paid plans weren’t much better either because of capped projects, limited retention, and costs that quickly ballooned if you’re tracking multiple side projects.
I figured there had to be a better way, so I built my own. I wanted something where I didn’t pay per site and where I truly owned my data.
That’s how https://berrylog.app was born.
The idea is simple: you bring your own database (for now Berrylog supports Supabase). Every log, every event, every pageview from all your projects is stored directly in your Supabase database. You’re the sole owner of your data. That means unlimited, historical analytics across all your projects with no recurring fee just to access what’s already yours.
At first, I built it just for myself because I was tired of overspending on something so essential. But after using it for a while, I realized this isn’t just my problem, it’s something every indie hacker runs into.
So I’m opening it up to the community. Berrylog.app is an analytics platform built with indie hackers in mind: one-time payment, unlimited websites, unlimited events. No subscriptions, no artificial limits.
I’d love for you to give it a try and let me know what you think.

value: Show HN: I built berrylog.app after getting burned by every analytics tool

author: lakshikag


value: triword

value: Hey everyone, I built a new daily puzzles site with all original formats that I'm releasing today called The Daily Baffle. This is the successor project to my simple puzzle Triword from last year.<p>There's a mix of different puzzles, done in the style of a classic newspaper games page. I think you'll especially like the Pathword, but all of my friends have different favorites. Come find yours!

value: Show HN: Introducing The Daily Baffle

author: triword

title: Show HN: Introducing The Daily Baffle


value: supriyo-biswas

value: Show HN: SMTP Email Testing Server

author: supriyo-biswas

title: Show HN: SMTP Email Testing Server


value:
Built a comprehensive cloud project management platform that handles the entire lifecycle—from planning to deployment to monitoring—across AWS, Azure, and GCP.<p>Features:
-> Project management with sprints, tasks, and discussions
-> Isolated Terraform workspaces with managed state/locking
-> Pre-deployment policy governance (Rego) to block misconfigurations early
-> Multi-cloud querying and compliance reporting (Steampipe/Powerpipe)
-> AI insight templates that analyze infra & generate reports
-> Cloud alert management and incident tracking
-> Full API coverage with RBAC — everything scriptable
-> JIT execution with no persistent agents (thin infra footprint)
To request demo please email vijayendar.gururaja@cloudpie.io.

value: Show HN: Cloudpie.io – MultiCloud Project Mgmt., Reporting, Alerting, Insights


value: EmiCorleone

value: Startups grow when AI answers mention them. Mudra measures your mentions across ChatGPT/Perplexity, gives you an AI Visibility Score, and turns gaps into a prioritized tasks.

value: Show HN: Mudra – a growth tool to win AI search

author: EmiCorleone


value: gabeiscoding

value: Hi HN, I did this project over the Labor Day weekend.<p>My family runs off our shared Google Calendar. This project was to use a ESP32 and three-color e-ink display to create a wall-mounted daily updated calendar, weather and news dashboard for us to coordinate our lives.

value: Show HN: E-Paper Family 2 Day Calendar

author: gabeiscoding

title: Show HN: E-Paper Family 2 Day Calendar


value: machinemusic

value:
I built Fantasy Football Neuron to see what would happen if AI analysts went head-to-head in live fantasy football debates. With the NFL opener this weekend, the project is hitting a critical moment.
The response has been amazing, and we're seeing some real traction:
307+ user signups before the season has even started.
The AI debates are running 24/7 as users test their theories.
This has also created a classic indie-hacker challenge: scaling for a massive traffic spike. To keep the high-quality AI voice debates running smoothly for the full kickoff weekend, I've budgeted $975 for the necessary server resources.
So, I'm posting here to see if there's a company or individual who'd like to become the project's first sponsor and help power the launch.
In exchange for covering the kickoff weekend costs, I can offer prominent logo placement and "powered by" mentions across the platform:
On the main app (fantasyfootballneuron.app)
During the live streams on Twitch and YouTube
In all related social media posts this week
The streams are ready to go:
Twitch: https://www.twitch.tv/footballagents
YouTube: https://www.youtube.com/@footballagents25
If you're interested in being the first believer and getting your brand in front of a dedicated audience of fantasy football and AI enthusiasts right at the peak of opening weekend, I'd love to connect.
My email is: nlpvisionio@gmail.com

value: Show HN: AI fantasy football debaters kickoff this weekend

author: machinemusic


value: testbuckez

value: Show HN: FoundationVision/Waver

author: testbuckez

title: Show HN: FoundationVision/Waver


value: wdamao

value:
Hi HN, I’m an indie maker working on Meowgic.art, a playful web app that instantly transforms pet photos into quirky or artistic portraits—think golden retrievers rocking Santa hats and sunglasses, or pets reimagined as oil paintings, watercolors, or cyber-punk art.
I built it because I wanted an easy, fun way to celebrate pets creatively—without wrestling with Photoshop. I’d upload Mine, tweak a prompt (“add stylish shades and a holiday hat”), and within seconds have a high-res image ready to download.
Under the hood, Meowgic.art uses an AI image-edit API (Gemini-based “Nano Banana”) with minimal latency and native watermarking for safe sharing. The site is vanilla React + Node.js; the editing pipeline handles prompt templates and composition logic server-side to maintain consistency across styles and multiple subjects (like pet + owner collages).
What makes it different:
A collection of preset prompts curated for playful or artistic styles
Live editing in the browser—no signup, no email required for launch day
Flexible prompt logic: keep pets recognizable even when changing props, style, or background
I’m sharing it here because I’d love feedback from fellow hackers: Does the UI feel intuitive? Any style modes you think are missing? How about pricing flow or batch workflows?
Thanks for looking!

value: Show HN: Meowgic.art – AI-powered fun pet portraits (instantly in browser)

author: wdamao


value: Show HN: mdfm – Glob Markdown files and get each frontmatters as JSON


value: matthewhefferon

value:
I got nostalgic this weekend and recreated Napster's old interface. But instead of slow downloads and viruses, it connects to the Spotify API and plays instantly.
Just a fun weekend project. It’s open source if you want to poke around or hack on it.
Hope it sparks some fun memories!

value: Show HN: Old-school Napster interface on top of Spotify API

author: matthewhefferon


value: cosbgn

value: Show HN: SomeWeek – Using ChatGPT and Twilio as an accountability coach

author: cosbgn


value: JoelDongjunLim

value: Show HN: Free Slack bot that generates K-pop Demon Hunters avatars

author: JoelDongjunLim


value: Show HN: qdb.us is back, after extensive downtime


value: pajuhaan

value: Show HN: Alpha- The fine structure constant emerged and code

author: pajuhaan


value: New, promising, and growing data logic platform for AI orchestration, datasets, infra-as-code, and config-heavy workflows.

value: Show HN: Data Logic Stof

title: Show HN: Data Logic Stof


value: earlyriser

value:
Pocket is shutting down and I really, really liked it. So I built woomarks, an app that let's you save links with a similar UI. It's very minimal, but it's doing everything I liked from Pocket and you can bulk import your links and use the app or self-host.
- Public app that you can test: https://woomarks.com/
- My self-hosted version, where you can see my saves: https://roberto.fyi/bookmarks/
- Repository if you want to self-host: https://github.com/earlyriser/woomarks
Export links from Pocket here: https://getpocket.com/export the last day will be on October 20025.
Features:
- Add/Delete links
- Search
- Tags
- Bookmarklet (useful for a 2-click-save)
- Data reads from:
csv file in server (these links are public)
local storage in browser (these links are visible just for the user)
- Local storage saving.
- Import to local storage from csv file
- Export to csv from local storage.
- Export to csv from csv file (useful when links are "deleted" using the app and just hidden using a local storage blacklist).
- Export to csv from both places.
- No external libraries.
- Vanilla css code.
- Vanilla js code.

value: Show HN: Woomarks, transfer your Pocket links to this app or self-host it

author: earlyriser


value: bnkamalesh

value:
Phispr is an ephemeral chat application designed for anonymous, temporary conversations that vanish without a trace. Built with Go, it offers both web and terminal user interfaces.
A weekend project exploded into a two weeks project, and with a funny origin. https://github.com/bnkamalesh/phispr/blob/main/docs/genesis....

value: Show HN: Public chat rooms with ephemeral chat and anonymous signup

author: bnkamalesh


value: mehrant

value:
After the release of Feox DB (https://github.com/mehrantsi/feoxdb), I received a number of  questions/requests about a potential service layer on top. I spent the last week and created this Redis compatible server for it which required 2 version releases on Feox itself as well.
Benchmark:
Feox:
redis-benchmark -h 127.0.0.1 -p 6379 -t set,get -n 1000000 -r 1000000 -c 50 -P 64 -q
SET: 4016064.25 requests per second, p50=0.639 msec
GET: 5208333.50 requests per second, p50=0.335 msec
Redis:
redis-benchmark -h 127.0.0.1 -p 6379 -t set,get -n 1000000 -r 1000000 -c 50 -P 64 -q
SET: 1647446.50 requests per second, p50=1.775 msec
GET: 1976284.62 requests per second, p50=1.455 msec
Please check it out and consider contributing :)

value: Show HN: Feox Server, a Rust based, drop-in replacement for Redis

author: mehrant


value: egldmila

value:
NameGator just launched
We’re gifting the first 100 people a launch bundle:
A $0.99 .shop domain promo code : peerlist-shop
A free custom logo based on your brand
Namegator.net

value: Show HN: Domain Name generator and brand name generator Namegator.net

author: egldmila


value: phantompeace

value:
I wrote a small local tool to transcribe audio notes (Whisper/Parakeet). Code: https://github.com/bilawalriaz/lazy-notes
I wanted to process raw transcripts locally without OpenRouter. Llama 3.2 3B with a prompt was decent but incomplete, so I tried SFT.
I fine-tuned Llama 3.2 3B to clean/analyze dictation and emit structured JSON (title, tags, entities, dates, actions).
Data: 13 real memos → Kimi K2 gold JSON → ~40k synthetic + gold; keys canonicalized. Chutes.ai (5k req/day).
Training: RTX 4090 24GB, ~4h, LoRA (r=128, α=128, dropout=0.05), max seq 2048, bs=16, lr=5e-5, cosine, Unsloth. On 2070 Super 8GB it was ~8h.
Inference: merged to GGUF, Q4_K_M (llama.cpp), runs in LM Studio.
Evals (100-sample, scored by GLM 4.5 FP8): overall 5.35 (base 3B) → 8.55 (fine-tuned); completeness 4.12 → 7.62; factual 5.24 → 8.57.
Head-to-head (10 samples): ~8.40 vs Hermes-70B 8.18, Mistral-Small-24B 7.90, Gemma-3-12B 7.76, Qwen3-14B 7.62. Teacher Kimi K2 ~8.82.
Why: task specialization + JSON canonicalization reduces variance; the model learns the exact structure/fields.
Lessons: train on completions only; synthetic is fine for narrow tasks; Llama is straightforward to train.
Dataset pipeline + training script + evals: https://github.com/bilawalriaz/local-notes-transcribe-llm

value: Show HN: Fine-tuned Llama 3.2 3B to match 70B models for local transcripts

author: phantompeace


value: machinemusic

value:
Most orchestration frameworks today still behave like fragile chains — they break when faced with contradictions, long-term memory, or dynamic routing.
Neuron is a cognitive multi-agent architecture that thinks in circuits instead of chains. Multiple agents collaborate in parallel, adapt their pathways in real time, and keep persistent context across extended interactions.
Key components
Agents: Intake, Reasoning, Response, Memory
Circuits: Dynamic routing instead of linear chaining
Memory: Episodic + contextual persistence
Monitoring: Full reasoning traces for observability
Why it matters
Handles contradictory inputs without collapsing
Maintains state across extended sessions
Parallel coordination for complex reasoning tasks
Transparent logs for debugging & trust
GitHub repo: https://github.com/ShaliniAnandaPhD/Neuron
Evaluation Notebook: https://www.notion.so/shalini-ananda-phd/Neuron-Evaluation-N...
Tutorial Series: https://www.notion.so/shalini-ananda-phd/Neuron-Framework-Tu...
About me / context: https://www.notion.so/shalini-ananda-phd/Shalini-Ananda-PhD-...
Would love feedback from the HN community — especially if you’ve run into the same breakdown points with traditional tools.

value: Show HN: Neuron – Cognitive Multi-Agent Architecture for Reasoning


value: vinserello

value: Show HN: 3D simulator of nukes based on scientific and realistic calcs

author: vinserello


value: geminimir

value: We built StripeMeter, an open-source usage metering platform that plugs directly into Stripe. It solves the classic SaaS pain of “why is my bill higher than expected?” by giving both developers and customers real-time usage tracking with live cost projections. Why it matters:<p>- Transparency: Customers see exactly what Stripe will bill them (within 0.5% parity).<p>- Exactly-once guarantee: No double billing, ever.<p>- Fast & scalable: Sub-minute freshness with Redis + Postgres counters.<p>We’d love feedback from SaaS builders, especially if you’ve struggled with Stripe’s metered billing. Does this solve a real pain for you? What would you need before trusting it in production?

value: Show HN: StripeMeter – Open-Source Usage Metering for Stripe Billing

author: geminimir


value: ubaltaci

value: Show HN: Gemini CLI Proxy

author: ubaltaci

title: Show HN: Gemini CLI Proxy


value: ogora

value: Show HN: A Modern Alternative to the Excel Fuzzy Lookup Add-In

author: ogora


value: pancakeguy

value:
I tried setting up an AI git commit tool this weekend and it was hell.
All the tools are either not maintained, outdated, or make it a total pain to customize the system prompt. All I wanted was simple AI commit messages, that I can customize!
Introducing Giz: A tiny, drop in replacement for `git commit`, with ai commit messages.
`giz commit` behaves exactly like `git commit` with one exception:
The commit message is AI generated when no `-m` or `--message` argument is passed. User is asked for confirmation first. Its behavior is otherwise identical.
Easy to modify system prompt:
The prompt is stored in a textfile located at: `giz prompfile`.
The diff (`git diff --staged`) is pasted two newlines below whatever you put in this file.
Quickstart:
- `pip install giz`
- `giz set_openai_api_key <your-api-key>`
- `giz commit ...`
Go to the link to see a demo!

value: Show HN: Giz, AI Git commits with easy to modify system prompt (in 140 lines)

author: pancakeguy


value: murshudoff

value: Show HN: TurboTable – Your AI Knowledge Worker

author: murshudoff


value: mathis-ve

value: We built Heep.ai to help restaurants automate guest conversations on WhatsApp, Instagram, Messenger, and voice.<p>It connects to tools like 7Rooms and OpenTable, and handles bookings, FAQs, and calls, fully customized per venue.

value: Show HN: Restaurant AI Host, Always On

author: mathis-ve

title: Show HN: Restaurant AI Host, Always On


value: CodinM

value: Initially thought of monetizing somehow and jumping on the AI trend, in the end - didn't. It uses Gemini 2.5 Flash Image:free from OpenRouter and it was mostly vibecoded in Python.

value: Show HN: I made a clothes-fitter with nano-banana

author: CodinM


value: shinpr

value:
I kept hitting Claude Code's context limit around 200K tokens (auto-compact threshold) on complex projects, leaving me with half-finished implementations and no way forward.
So I built a boilerplate that uses Claude's Sub-agents feature to distribute work across specialized agents. Each agent maintains its own context window for specific tasks—requirements analysis, design docs, TDD implementation, quality checks.
For example, my MCP server project that previously hit the 200K token limit completed successfully, processing 770K tokens across agents.
GitHub: https://github.com/shinpr/ai-coding-project-boilerplate
The approach is basically context engineering—giving each agent only the information it needs, when it needs it. Instead of dumping 40+ sections of rule files into one context, agents get 3-5 relevant sections dynamically selected.
What surprised me most was how effective "meta-cognition" was—an agent that pauses before actions to choose the right context. This small step prevented a lot of rework.
Quick start: `npx github:shinpr/ai-coding-project-boilerplate my-project`
More details and metrics: https://dev.to/shinpr/zero-context-exhaustion-building-produ...

value: Show HN: TypeScript boilerplate for scaling Claude Code beyond context limits

author: shinpr


value:
I was recently looking for a markdown code block formatter, however, I was surprised that there were very little tools that do this.
So, I've been recently working on `codefmt`, a markdown code block formatter that is optimized to be fast and extensible. Instead of spawning a child process to format each code block, it groups all code blocks by language and spawns one format child process for each language.
Feel free to contribute support for more languages.
Repo Link: https://github.com/1nwf/codefmt

value: Show HN: Codefmt – a fast Markdown code block formatter


value: andfadeev

value:
I've been using Substack for my tech blog and newsletter for a while.
As a developer, I truly believe that sharing knowledge through a newsletter is one of the best ways to grow an audience — and eventually monetise your efforts.
Substack is built for a general audience, not devs. I was missing code highlighting and minimalist design.
I wanted to build something dedicated for developers:
- open-source, free to use, self-hosted
- beautiful code highlighting
- markdown-first writing
- clean, minimalist design
- dark mode support
I believe that an open-source model is a great way to build a product. IndiePubStack is:
- fully open-source and free to use (MIT licence)
- designed to be self-hosted (Docker image distribution)
- built on top of reliable services (Kinde for auth, Resend for email delivery)
All you need is an inexpensive VPS and a domain name, free Kinde and Resend accounts (that will be enough for a long time).
I'm already using IndiePubStack for my personal blog and newsletter.
The future depends on the community feedback, if the open-source project gets some traction, the next logical step will be to build a SaaS platform on top of it.

value: Show HN: IndiePubStack – Open-source self-hosting Substack alternative for devs

author: andfadeev


value: libcheet

value: Show HN: Android Toolkit for Debugging Networks

author: libcheet


value: alyptik

value: Show HN: Cepl – A readline C/C++ REPL with history, tab-completion, and undo

author: alyptik


value: littleRound

value:
I built a set of small hands-on exercises on how to build and debug LLM agents with various capabilities. The suite runs locally and covers tasks like:
- general llm-style chat: math Q&A
- tool use: hashing with tools
- image understanding
- web-browsing: (tic-tac-toe)
- code generation & execution
- memory across sessions
The idea isn’t benchmarking, but giving builders practical drills to see where agents succeed or fail. Useful for education, workshops, or self-study.
Would love feedback on what other exercises would make it more useful.
Try it here: https://ape.llm.phd/

value: Show HN: Ape – Exercises for Learning How to Build LLM Agents

author: littleRound


value: vishalontheline

value: This will work on any Hacker news post but it is especially useful for "Who's Hiring?". It will filter out comments that don't match the set filters.<p>You can set multiple filters. Filters have an "and" relationship. Filters are regular expressions.

value: Show HN: A usercript to help you filter "Who's Hiring".

author: vishalontheline


value: zquestz

value: Show HN: Dream Prompter: Bringing Nano Banana to GIMP

author: zquestz


value: danielcid

value:
Hi HN,
We have been building DNSArchive (a DNS repository) and just made the public (out of beta), our web security metadata search.
It allows you to look for specific patterns on headers, links and other hard to find parts of web sites.
For example, you can search for all sites using PHP/5.2:
https://dnsarchive.net/web-search?q=PHP/5.2
Or WordPress 5.2:
https://dnsarchive.net/web-search?q=%22Wordpress%205.2%22
Or search fro web servers that have Ubuntu displayed on the web server header:
https://dnsarchive.net/web-search?q=ubuntu
Feedback is very welcome. We did a Show HN about it a few months ago and got no traction and sending it again since we just pushed multiple updates and added over 150m sites there.

value: Show HN: Web Metadata search. Search for headers, apps, CMSs, and versions

author: danielcid


value: EvoAgentX

value:
Hello HN,
I’m the creator of *Awesome-Self-Evolving-Agents*, a curated GitHub repository that compiles the latest papers, frameworks, and tools on *self-evolving AI agents*—systems capable of autonomously improving themselves based on interaction feedback.
I put this together because the field is rapidly evolving and fragmented. I couldn’t find a single, organized overview spanning foundational theory, architectural patterns, open-source frameworks, and implementations. This repo fills that gap, with structured sections such as:
- Conceptual frameworks and surveys (2025 papers included)
- Open-source frameworks and tools
- Implementation case studies (like EvoAgentX)
- Multidisciplinary applications (coding agents, healthcare, finance, etc.)
Check it out here—no signups or paywalls, just browse: https://github.com/EvoAgentX/Awesome-Self-Evolving-Agents
I’d welcome your feedback: any missing papers, tools, better ways to structure the content, or suggestions for improvement.
Thanks for taking a look!

value: Show HN: Self-Evolving Agents – interactive evolving AI agent list

author: EvoAgentX


value: Show HN: Freeon – Distributed Ed25519 signature tool


value: agambrahma

value: I've built a native macOS AI chat application that supports both Gemini and Cerebras providers through a single interface. You can choose between either depending on what each conversation needs, then select a model from either. Text only. Everything stays local to your mac.

value: Show HN: macOS Gemini/Cerebras text quick-chat app

author: agambrahma


value:
Hi HN,
I built a very minimal website that tracks disk prices from Amazon and presents them in a clean, sortable table: https://diskprices-frontend.vercel.app/
.
Motivation: I often needed to quickly check the cost per TB/GB across different storage types (HDDs, SSDs, flash cards, tapes, etc.) and found most existing tools too cluttered or outdated. So I decided to build a lightweight frontend that fetches the data and makes it easy to compare.
Features:
Sort by price per TB or per GB.
Filter by capacity, brand, media type, or condition.
Focused only on Amazon data for now (to keep it simple).
Mobile-friendly, minimal UI.
It’s still an early project — feedback on usability, performance, or what additional features might be useful (e.g., alerts, more sources, historical charts) would be greatly appreciated.
Repo (if you want to take a look / contribute): [your GitHub link if available]
Thanks for checking it out!

value: Show HN: A minimal disk price comparison site for Amazon drives


value: jonesatrestdb

value: Open source, simple, fast documentation generator that turns your markdown files into beautiful docs

value: Show HN: OkiDoki – Markdown first API docs

author: jonesatrestdb


value: robbymilo

value:
I wanted a tool that could handle my messy archive of decades of phone photos as well as a curated photography portfolio, all in one timeline. Some apps exist (open source and commercial), but none did exactly what I wanted. So I built my own.
Features include:
- Timeline view of your entire library with EXIF (camera, lens, etc.) filter + search
- Recursive folder browsing
- "On this day" memories
- Unique permalinks for every photo
- Reverse geotagging (city, country names from GPS coordinates) without hitting external APIs
- Docker support for easy setup
It’s still experimental, but usable. Bugs, ideas, and contributions are welcome.
Demo (User: demo, Password: demo): https://demo.rgallery.app
GitHub: https://github.com/robbymilo/rgallery
Docs: https://rgallery.app/docs/

value: Show HN: rgallery – an offline photo/video timeline built with Go and SQLite

author: robbymilo


value: saleCz

value:
Hi,
I got tired of passing my .env files around in various chat channels to my colleagues so I made this tool to make it easier and more secure.
It's called Envie and it's open source and self-hostable service + CLI tool for managing software environments, API keys, secrets and the like. It's a replacement for .env files and related tools like dotenv for example.
I often find myself wasting a ton of time digging for the correct api key or database credentials across various web UIs to debug a production issue.
I made this CLI to make it super easy to switch between prod, staging and personal environments.
The idea was it could also be useful for production as a lot of the UIs of hosting platforms for managing env configurations frankly suck (like Vercel for example).
I bet some of you will find this useful so please check it out on github: https://github.com/ilmari-h/envie

value: Show HN: Replacement for .env files and secret management tool

author: saleCz


value: dagermohamed

value:
Hey HN,
I saw that many small business owners complain about the complexity of using Hubspot and Zoho, so I thought, why not create an all-in-one platform that includes CRM, project management, finance, and HR management?
These features are very easy to use and will be highly beneficial for anyone trying to manage their business more effortlessly without needing an expert.

value: Show HN: Opensyte – Open-Source Hubspot and Zoho Alternative

author: dagermohamed


value:
I built an AI Comic Generator that turns a short idea into a multi-scene illustrated comic with narration, dialogue, and even auto-generated MCQs to test reading comprehension (great for kids).
Tech: Phi 3 main for story generation, Qwen Image for art, FastAPI for the ML pipeline, Next.js + Express.js for the web app, deployed on Jarvis lab cloud GPUs + AWS with CI/CD.
im looking for sde/ml opportunities.

value: Show HN: I Built an AI Comic Maker That Adds Quizzes (MCQs) for Kids


value: heysound

value:
We built changelogs.ai, a free and open-source tool to turn GitHub commits into readable changelogs.
Usage
- /:owner/:repo/:startDate..:endDate
- /:owner/:repo/:commitSHA..:commitSHA
- Works for dynamic ranges (e.g. “last week”) or fixed commit ranges.
Demo: https://changelogs.ai/asyncstatus/asyncstatus/2025-08-31..20...
Why
We’re developers building tools for remote teams. Keeping track of changes across projects is hard; this makes async updates easier.
- OSS: github.com/AsyncStatus/asyncstatus
- Please don’t overload it (GitHub API + OpenRouter credits are limited).
Feedback welcome!

value: Show HN: Open-source and free changelogs generator

author: heysound


value: kianworkk

value:
Hi HN,
I’ve been working on extending my side project *RelightAI* into the e-commerce space.
I just built a *Chrome extension* that lets you:
- Open any shopping website (clothes, shoes, etc.)
- Upload your own photo
- Instantly generate an *AI try-on preview* of the product
Why I built this:
Online shopping often feels like a gamble since you can’t really try items on. I wanted to experiment with AI to make that process more visual and fun.
Status:
- Core works, but the UX is rough
- Some bad cases (alignment isn’t always perfect)
- Still very early, so I’d love feedback on what’s useful / what’s missing
[Chrome Web Store link](https://chromewebstore.google.com/detail/relightai-try-on/cp...)
Would love to hear your thoughts!
Happy to answer questions.

value: Show HN: RelightAI Try-On – Chrome extension for AI clothing previews

author: kianworkk


value:
Hi HN,
I've been building Chronoid, a native macOS time tracker. It runs in the menu bar and automatically logs apps, windows, and file activity using macOS accessibility APIs. Everything is stored locally, no sync or cloud service.
At first I tried using DuckDB as the storage engine. It looked promising for analytics, but after ~2 weeks I realized it was overkill for my needs—extra dependencies, trickier integration, and not much real benefit at the scale of a single-user app. I switched to SQLite, and it turned out to be the simpler, more reliable choice. The codebase got smaller and the app more stable.
A few details:
Written in Swift + SwiftUI
Always-on logging in the background
Local storage in SQLite
Focused on privacy and being lightweight
I'd love feedback on:
Tradeoffs you've seen between DuckDB, SQLite, or other embedded DBs
Patterns for handling long-running background apps on macOS
Ideas for making time-tracking data more useful to freelancers/indies
App: chronoid.app
I haven't open-sourced it (yet), but I'm happy to dive into implementation details in the comments.
Thanks,
Vu

value: Show HN: Chronoid – a local Mac time tracker (why I ditched DuckDB for SQLite)


value: Viaya

value:
I built Nano Banana AI
, a fast tool to edit existing images with text prompts.
I made it because current tools felt slow and mostly focus on generating new images. This one is different:
Image-to-image only — edit instead of generate.
Fast — optimized inference on Gemini 2.5 Flash.
Would love feedback on use cases or improvements.

value: Show HN: Nano Banana AI – Text-Based Image Editing in the Browser

author: Viaya


value: amol-

value:
The project has been around for a while, but I never shared it here, so I thought it was fine to bring it up in case anyone was looking for something similar.
DukPy is a Javascript interpreter for Python that is primarily designed with ease of use and ease of install use cases. Most other Js interpreters might be faster or more feature complete, but are also harder to install. DukPy tries to avoid any external dependency so that compiling it is straightforward and provides prebuilt wheels for a lot of different system.
The project is designed with Web development in mind, so it also includes some convenient transpilers adapted to DukPy, so that you can transpile your JSXX or SCSS content without having to install nodejs at all.
In the future I hope to grow the NodeJS compatibility layer and switch the javascript engine at a certain point.
PS: The project is very close to the 512 stars badge, so if you feel it's interesting any extra github star would help me reach that goal! Thanks

value: Show HN: Easy to use JavaScript interpreter for Python

author: amol-


value: asouei

value: Every project repeats the same fetch pattern: try/catch, check `res.ok`, handle timeouts. I got tired of the boilerplate.<p>*safe-fetch* always returns `{ ok: boolean, data | error }` with typed errors. 3kb, built-in retries, dual timeouts, Retry-After support.<p>Recently featured in Awesome TypeScript. Feedback welcome!

value: Show HN: Safe-fetch – fetch() without try/catch

author: asouei


value: sravanparakala

value: I used Graph embeddings to organize artists spacially like every noise at once. Gonna make it bigger once I have the resources.

value: Show HN: Graph Embeddings and Musical Artists

author: sravanparakala


value: olivierloverde

value: PoC of an application that allows users to browse model outfits, convert them to flat lay using Gemini 2.5 Flash image preview, and shop for individual pieces using AI-powered search capabilities - See demo video on GH

value: Show HN: Using nano-banana for outfit extraction and shopping links

author: olivierloverde


value: miletus

value:
We’ve been power users of AI tools for the past year, and we kept running into three constant frustrations:
1. Too many subscriptions – Paying separately for OpenAI, Anthropic, Perplexity, and others quickly adds up.
2. Losing memory & context – Switching between models or platforms means you start over each time.
3. Privacy concerns – With most closed-source models, your data may be stored or used for training. That’s not acceptable for sensitive or professional use cases.
So we built AgentSea: a private and safer chat interface where you can access the latest models, agents, and tools in one place, without losing context.
What you get with AgentSea:
- All the latest AI models (both closed and open-source) in a single chat. Switch between models mid-conversation without losing memory.
- Secure Mode for private chats — With Secure Mode, all chats run either on open-source models or models hosted on our own servers - so you can chat with AI without privacy concerns.
- 1,000+ specialized agents built by the community for specific tasks
- Integrated tools — search Reddit, X, YouTube, and Google directly from chat.
- Image generation with the latest models.
Try it for free at agentsea.com
We’d love for you to try it out and share your thoughts!

value: Show HN: AgentSea – Private, fast, and safe AI chat to access latest AI models

author: miletus


value: yunweiguo

value: Built an all‑in‑one concrete calculator suite: slabs, columns, footings, stairs, cylinders, rebar, yards, and bag counts. Shows material breakdown (cement/sand/gravel) and optional cost. Mobile‑friendly, client‑side, free. Would love feedback on coverage (shapes you need) and edge‑case accuracy.

value: Show HN: Concrete Calculator – Fast, accurate estimates

author: yunweiguo


value: artiomyak

value: Show HN: Image to PDF Converter

author: artiomyak

title: Show HN: Image to PDF Converter


value: RealCustomAI

value:
Groq, Gemini, and GPT – All Seamlessly Connected
This is a personalized AI service designed to help you get smarter, faster answers by securely saving (with encryption) your input every time you chat — and using related past conversations to better understand your current questions.
You can upload past chat history to feel the difference right away.
All stored data can be viewed or deleted anytime,
and the AI remembers and keeps learning with you.
It’s your personal AI that truly gets you.
Guide
https://realcustomai.online/guide
Use in Custom GPT
https://chatgpt.com/g/g-689afc60d3d48191a72416390f9d713f-rea...
Use it on Groq, Gemini, and ChatGPT web via browser extension
See the guide above for details.

value: Show HN: RealCustomAI – An AI Memory Layer for ChatGPT/Gemini/Grok

author: RealCustomAI


value: Show HN: Sqlalchemy-tenants – Because "oops, forgot WHERE tenant= " is not fun


value: audaciousdelulu

value:
I built founder.mood after watching founders struggle with the pressure to always be "winning". The hard, lonely parts of building something never get discussed honestly because it can spook investors, customers, and employees.
So, I built a place with true anonymity by design, not just a hidden username.
The key technical choices:
No Social Graph: No profiles, no follows, no connection between posts.
Unlinkable Aliases: Every post gets a fresh, random name. Comment threads use a different names.
No Plain-Text Emails: Auth uses a non-reversible HMAC of your email. We can't email you, even if we wanted to.
Hard Delete: One-click account wipe. No backups, no retention.
The goal is to create a place for the kind of conversations that happen at 2:00 AM, not in a board meeting. It's post-first (no account needed) and built for safety, not engagement.
I launched this quietly and within the first hour, three founders posted about the loneliness of misunderstanding, the fear of failure, and the struggle of balancing work with life. It confirmed the need.
I'd love the HN community's thoughts on the approach—both the product and the architecture.

value: Show HN: A founder community with true anonymity(HMAC identities,no socialgraph)

author: audaciousdelulu


value: solsbayissue

value:
Hey HN
I want to expose what is happening with Stripe specialist team scam and I am telling it as someone who had $800k+ held and got offered 72% deal to get it released from someone inside the Stripe and actually has seen them to release my friend's account with my own eyes after 2 days of accepting the deal
In short, they make you beg for your own money and never release it and then in groups in telegram and other places offer 50%+ deals (my own deal was 72% for $800k held) where they take huge cut from released funds.
Proof:
I have my friend who was desperately trying to recover his funds while having absolutely no dispute and 2 days after taking the deal, his funds automatically get released
So what is happening is SOMEONE or SOME GROUP in specialist team running a SCAM where they are holding someone's funds forever and basically create enough chaos where people are desperate.
Then they have a group advertising a way to release funds for 50%+ deals, if you do not take it funds never get released basically
2-3 days after you accept the deal, you give them your account ownership, they send funds to their own bank and pay you your share (exactly what happened with my friend)
How exactly do they make you desperate:
 1) You contact chat
 2) They tell you bear with me while I am looking into your account
 3) They explicitly make you wait around 40-50 mins so you don't try again
 4) They say they will need to convert this chat to email because only specialist team can handle these cases
 5) Once chat converted into email, they completely ignore you
 6) In the dashboard, it is shown TICKET IS CLOSED few mins after getting opening
I have done this for last 9 months as I REFUSE to give up 72% of my funds for criminal scams. I have 0 disputes. We were using Stripe Standard Connect to help companies to get customers through email marketing, and ads and charge % of sales and we were specifically using direct charges which means we are not liable for disputes of connected accounts either
--- When you report this to the chat saying do not convert it to email, they assure you this time they will send it to CORRECT team or this team they will send it to compliance team, or higher ups but next business min after you create the ticket it will get closed
Oh also, we sent legal letters and they are still ignoring it. I am now trying to find lawyers to help me to sue Stripe and release funds for the % of my funds (probably a lot lower than what Stripe Specialist Scam team offered us)
I am trying to expose this scam because MAYBE for the sake of their reputation they will do something and I would be happy to be quite because I only care about my funds being released. My entire business got shut down after closing my account

value: Show HN: Stripe Specialist Team Scam – 50%+ deals

author: solsbayissue


value: koolyy

value:
Hey HN,
I'm a SWE at a YC-backed company where we rely heavily on PlanetScale for our backend database. We've been using Airbyte for ETL into BigQuery, but the 5-minute sync intervals were killing us—multiple updates would get lost in that window, making real-time dashboards, leaderboards, and audit logs impossible without constant hacks. Fivetran and similar tools looked great but were way too expensive for our stage.
Those alternatives felt like overkill in terms of setup and cost for our early stage, so I built a tool called PlanetScale CDC (planetscale-cdc.com). It taps into the VStream api to stream real-time change data capture (CDC) events with sub-second latency, sending them straight to webhooks for easy integration (e.g., syncing to analytics, triggering workflows, or building reactive features). More destinations like direct BigQuery, Kafka, or SnowFlake are in the works.
It's fan-built and independent (not official PlanetScale), aimed at engineers and data teams wanting quick, low-overhead real-time data without enterprise bloat and increased database load. Setup is simple: connect your PlanetScale DB, add a webhook URL, and start getting inserts/updates/deletes in near-real-time.
I'd love feedback—especially on integrations or features you'd want next. Check it out here: https://planetscale-cdc.com
What do you think? Has anyone else run into similar PlanetScale ETL/CDC pains?

value: Show HN: PlanetScale CDC: Stream DB changes to Webhooks in real-time

author: koolyy


value: mrwangust

value: Show HN: I built a Shopify store optimiser that gives you actionable insights

author: mrwangust


value: krisozy

value:
Hey HN!
I used to spend a lot of time on Reddit marketing, but cutting through all the noise to find the right leads was exhausting. That’s why I built a smart Reddit monitoring tool that alerts you only on brand relevant mentions. You can also limit monitoring to specific subreddits and add custom AI filters to really narrow down user intent.
Here’s what you can do with ParseStream:
- Monitor Reddit keywords and search terms
- Explore mention history (up to 30 days)
- Add custom AI filters
- Enable/disable the brand context filter
- Monitor specific subreddits
I’d love to get your honest feedback and ideas about the project and its features. Your input will help me prioritize improvements and make the tool more effective. Thanks!

value: Show HN: ParseStream – Smart Reddit monitoring, find your next lead on Reddit

author: krisozy


value: weijunext

value: SHOW HN: I built Dofollow.Tools, gives dofollow backlinks to all submitted sites

author: weijunext


value: carlual

value:
ZenStack’s goal is to become the unified data layer of the application. It has been advocating a model-first approach, which involves using a rich and coherent schema as the single source of truth of the application and automatically deriving as many workpieces as possible, such as access control, RESTful APIs, frontend hooks, and Zod schemas.
ORM is an essential part of it. To avoid reinventing the wheel, we started our journey as an extension package for Prisma ORM. However, as we added more features, we felt more constrained by the foundation, Prisma. Therefore, we made a bold decision for ZenStack V3 to reimplement the ORM part using Kysely (https://kysely.dev/). Its type-safe query builder gives us enough flexibility to go along the road. At the same time, we aim to maintain Prisma's excellent DX.
Here comes the ZenStack v3 Beta release! We've spent a lot of time working on the ORM's parity with Prisma, implementing bug fixes, and enhancing performance.  Here are the highlights of the achieved results:
- The ORM client is essentially compatible with PrismaClient.
- Features that go beyond Prisma:

    [query builder API]

    [database-side computed fields]

    [polymorphic models]

    [strongly-typed JSON]

- Runtime plugin system that allows you to intercept queries at different levels.
- A new VSCode extension
Finally, the comprehensive yet coherent schema is a perfect match for both vibe coding and AI-assisted coding. It not only saves you time juggling many tools in a fragile setup, but also gives you a more deterministic result due to the slim code base.

value: Show HN: ZenStack V3 – Modern, AI-Friendly Data Layer for TypeScript App

author: carlual


value: thijsverreck

value:
Hi HN,
I’ve been working the past year on something called Prototyper
, and today we’re opening up the new version.
The motivation is simple: whenever I built products in the past, I noticed the best ideas came after the “first version.” You try something, it feels wrong, you change it, repeat. Most tools make that painful. Prototyper is my attempt to make that loop natural—so you can explore ideas quickly instead of forcing them through a rigid workflow.
This release includes:
instant updates (no compile/refresh lag)
simplified UI (months spent just removing steps)
responsive by default
customizable so it bends to your workflow, not the other way around
What I’m most excited about though is under the hood: we’ve built all the core tech in-house (compiler, rendering engine, infra). That means we’re not stuck with the constraints of existing stacks. It’s been a lot of work, but it gives us room to try things that I don’t think anyone else is doing.
This is still early. We’re giving everyone free access for the first week because I’d really love feedback from people who build things for a living.
Curious what you think, and happy to dive into the tech in the comments!
—Thijs

value: Show HN: Prototyper - the fastest AI software design platform

author: thijsverreck


value: abilafredkb

value:
I’m excited to share Eintercon, a social app I’ve been working on that connects you with people worldwide, but with a unique twist: each connection lasts just 48 hours. After that, you have the chance to rediscover but the connection isn't lost.
The idea behind Eintercon is to create a space where people can have fresh, focused interactions without the endless pressure of maintaining permanent contacts. You get paired with someone abroad who shares your interests, have 48 hours to chat, share, and learn from each other—then the window closes, encouraging genuine moments and constant new connections.
Why 48 hours? It feels like just enough time to make a meaningful connection without the overwhelm of social media’s endless scrolling or obligation.
I’d love to hear your thoughts on this approach to social interaction and get feedback from this community. You can check it out and try it here: https://eintercon.com
Thanks for reading!

value: Show HN: Eintercon – Meet people worldwide with 48-hour connections

author: abilafredkb


value: flyingsky

value:
Hi HN, I’m Tobi. For a couple of hours over the past few days I’ve been hacking on something to fix a pain point in my dev workflow: writing status updates.
Progress is invisible by default. GitHub, Linear, Jira all track tickets and code, but they don’t do a good job of capturing the narrative between “ticket started” and “ticket done.”
You start working on a feature, your PM asks “how’s it going?”, and even though you know exactly how it’s going - because you’ve been committing and making progress - you still struggle to answer. That usually means breaking your flow to piece together an update, or just saying “it’s going fine.” You could point them to the commits, but tbj they probably don’t want to wade through diffs.
To solve this I built Zyg [pronounced zeig]. It tries to turn commits into human-readable progress updates. It’s a lightweight CLI + dashboard that wraps `git commit`. Running `zyg` will generate a detailed commit message from your changes, produce a project update from that commit or a set of commits you choose, and notify any stakeholders who are subscribed. If you’d rather not share updates automatically, you can just copy the generated summary and drop it in Slack or email.
Zyg is free for September thanks to an API credit grant from Anthropic. After that I’ll figure out pricing, but you can also plug in your own key and keep using it for free. It’s still rough around the edges, but I’d appreciate you giving it a spin.

value: Show HN: Zyg – Stop Writing Status Updates

author: flyingsky


value:
I created a public API collection repository because I was tired of searching for open APIs all over the place while working on projects.
It includes the latest (2025) English translations of Korean open APIs.
To keep the links fresh, I also added a routine that regularly checks them, so everything stays stable and reliable.
Feel free to take a look around, and any feedback is always welcome.
Thanks!

value: Show HN: Korean Open APIs (With English Translations)


value: lexokoh

value: Show HN: Scoped, Ephemeral API Keys for AI Agents

author: lexokoh


value: Show HN: Kage Bus – Lightweight Pub/Sub Message Bus for AI Agents


value:
I built a small wrapper around curl-impersonate that makes it act like Go's net/http package: github.com/dstockton/go-curl-impersonate-net-http-wrapper
Why?
Some sites aggressively fingerprint HTTP clients and block "non-browser" traffic.
curl-impersonate does an amazing job at mimicking real browsers.
But swapping it into Go projects usually means reworking code.
So... this wrapper just pretends to be net/http. If your code uses http.Get(), http.Post(), or a http.Client, you can swap in my package and (hopefully) get past those annoying "Access Denied / suspicious traffic" walls without rewriting everything.
Example:
// Just import my package instead of net/http
import http "github.com/dstockton/go-curl-impersonate-net-http-wrapper"
resp, err := http.Get("https://example.com")
That’s it. Your Go program is now speaking fluent Chrome/Firefox.
Caveats:
Only tested on Linux + macOS so far.
Still very experimental (feedback and PRs welcome!).
I built this mostly because I got tired of cat-and-mouse games with sites that block bots. If you're scraping, testing, or just curious about browser impersonation in Go, give it a spin.
Repo: https://github.com/dstockton/go-curl-impersonate-net-http-wr...
Would love feedback, bug reports, or ideas on making this more robust.

value: Show HN: Drop-in Golang wrapper for curl-impersonate (net/HTTP compatible)


value: Show HN: Picnana – One-Stop AI Image Generator


value: alikhil

value:
Hi HN,
We just launched CDNpulse — a service that shows how fast different CDNs deliver content to your actual users.
The problem
- Choosing a CDN is mostly guesswork today.
- Aggregated benchmarks (e.g. Perfops) don’t reflect your actual audience.
- Enterprise RUM solutions exist (e.g. Catchpoint at $2.5k/month), but they’re out of reach for most teams.
The solution
CDNpulse gives you:
- Drop in a small script on your site.
- See city-level load time data from your real users.
- Compare providers and verify that the chosen CDN really improves performance.
Why it matters
Choosing the right CDN can shave hundreds of milliseconds off page loads, which means lower bounce rates, happier customers, and higher conversions. Until now, these insights were mostly locked behind expensive enterprise tools.
Status
- Beta just launched: https://cdnpulse.io
- Free while in beta.
- Explore without signing up: https://app.cdnpulse.io/public/demo/analytics
If you’re comparing CDNs or planning a switch, I’d love to hear how this fits into your workflow and what would make it more useful.

value: Show HN: CDNPulse – See which CDN is fastest for your actual users

author: alikhil


value: TechSquidTV

value: Show HN: I Made an ESP32 On-Call Beeper

author: TechSquidTV

title: Show HN: I Made an ESP32 On-Call Beeper


value: psathecreator

value: Show HN: Vaultace – AI-specific vulnerability scanner for AI generated code

author: psathecreator


value: hamachang

value: This is a static type checker for mruby! It's still in development, but if you're interested, please take a look! We look forward to your feedback!

value: Show HN: Ruby-TI mruby type analyser

author: hamachang

title: Show HN: Ruby-TI mruby type analyser


value: elikoga

value:
Hi HN,
I’ve been working on Thymis, a platform for managing fleets of IoT and edge devices declaratively using NixOS. After a lot of iteration, the open source core is ready, and we’ve just launched Thymis Cloud, now available to businesses globally (and private individuals in Germany).
Problem: Managing IoT devices at scale is usually painful:
- Manual SSH into devices
- Configuration drift across fleets
- Risk of bricking devices during updates
Approach: Thymis applies infra‑as‑code principles (via NixOS) to embedded and edge systems:
- Declarative configs for reproducible fleets
- Over‑the‑air provisioning and updates
- Open source runtime + hosted SaaS
- Web-based Dashboard for better UX
Links:
Website: https://thymis.io
Pricing / availability: https://thymis.io/pricing
GitHub: https://github.com/thymis-io/thymis
This project grew out of my own frustration deploying Raspberry Pis and IoT devices in both hobbyist setups and production systems. I work as a systems engineer and built Thymis to bring reproducibility to this tricky domain.
I’d love feedback from HN — especially from anyone managing device fleets today. Does this solve real pain points, or are there features that would make it more useful?
Thanks for taking a look.

value: Show HN: Thymis – IoT fleet management with NixOS – Cloud now available

author: elikoga


value: woumn

value: Check out my TUI I wrote for viewing and querying an LDAP. I need to do basic queries and validation daily for work, and as I work on a mac, there are really no good options. The major player is the Apache Directory Studio which is... not great. So I decided to create a new one.

value: Show HN: Moribito – A TUI for LDAP Viewing/Queries

author: woumn


value:
I was experimenting with building a local dataset generator with deep research workflow a while back and that got me thinking. what if the same workflow could run on my own files instead of the internet. being able to query pdfs, docs or notes and get back a structured report sounded useful.
so I made a small terminal tool that does exactly that. I point it to local files like pdf, docx, txt or jpg. it extracts the text, splits it into chunks, runs semantic search, builds a structure from my query, and then writes out a markdown report section by section.
it feels like having a lightweight research assistant for my local file system. I have been trying it on papers, long reports and even scanned files and it already works better than I expected. repo - https://github.com/Datalore-ai/deepdoc
Currently citations are not implemented yet since this version was mainly to test the concept, I will be adding them soon and expand it further if you guys find it interesting.

value: Show HN: I built a deep research tool for local file system


value:
Hi HN,
I think mesh gradients are cool, I use them a lot, probably too much.
So I made a simple tool that puts one behind my screenshots.
No watermark, no sign-up, I just paste my screenshot, select my current favorite color palette, I add an unhealthy amount of grain texture, and hit "copy". Lots of aspect ratios available.
I also made a Canvas tool to make more advanced designs with optionally transparent background.
Do check it out and tell me what you think

value: Show HN: Beautiful Gradient Backgrounds and Canvas


value: aalekseevx

value: We explain what Forward Error Correction (FEC) is, how and why it works in general, and how you can try it out with a new implementation in the Pion WebRTC stack.

value: Show HN: Forward Error Correction for Pion WebRTC

author: aalekseevx


value:
StoryMotion, a hand-drawn motion graphics editor for educational content creators.
---
5 months ago, I launched Inscribed.app [1], a tool based on Excalidraw for making step-by-step explanation (like slides) that I can easily embed to explain concepts on my blog.
[1] https://news.ycombinator.com/item?id=43078555
as I later expanded into video, I decided to fork the project and create another tool which focus solely on making animation.
---
Key features:
- Keynote-liked interfaces with Excalidraw canvas
- effects animation library
- scene transition animation -- fun fact: you can also do “Magic Move” like you can do on Keynote :)
- timeline editor for editing effects timing (with live preview)
- use any fonts from Google Fonts
---
Try it yourself: https://storymotion.video/editor
I hope you like it. any feedback is appreciated.

value: Show HN: StoryMotion, hand-drawn motion graphics editor based on Excalidraw


value: tuhaihe

value:
Apache Cloudberry 2.0.0 has been released - the first official release under the Apache Software Foundation.
Key highlights:
* Built on PostgreSQL 14.x with distributed query processing
* Dynamic Tables: automatic, scheduled refresh of query results for real-time analytics
* PAX storage format: hybrid row/column storage for better OLAP performance
*  ASF-compliant updates on dependencies, LICENSE/NOTICE/DISCLAIMER files
Apache Cloudberry is derived from PostgreSQL and the last open-source Greenplum Database. It provides massively parallel processing (MPP) capabilities for large-scale data analytics, supporting both on-premise and cloud deployments.
* GitHub: https://github.com/apache/cloudberry
* Download: https://cloudberry.apache.org/releases
* Changelog: https://cloudberry.apache.org/releases/2.0.0-incubating

value: Show HN: Apache Cloudberry 2.0.0 – First ASF release of MPP database

author: tuhaihe


value: gilbarbara

value:
Agent Hub MCP enables ANY MCP-compatible AI assistant to coordinate across repositories and platforms. Think message broker + shared state for multi-vendor AI agents.
Key insight: AI agents work better when they can communicate, regardless of the underlying platform. Mix Claude Code, Qwen, Gemini, Cursor - they all coordinate through the same hub.
Example: Qwen discovers API patterns → shares with Claude Code → both coordinate with Gemini for documentation → end-to-end feature delivery.
Platform agnostic via Model Context Protocol. One-line setup for any MCP client. Production ready with TypeScript and comprehensive testing.

value: Show HN: Agent Hub MCP – Universal coordination system for AI coding assistants

author: gilbarbara


value: tangramdev

value:
The Creator Browser Wakes “God Mode” for your Desktop Application app.exe.
After installing Creator, you get a tiny 180KB application launcher proxy.exe.
If your desktop app is app.exe, simply copy proxy.exe into the same folder as app.exe and rename it appProxy.exe.
Launch app.exe for normal mode; launch appProxy.exe to enter God Mode.
proxy.exe launches app.exe as the Creator Browser’s Browser Process, then exits immediately, playing no further role.
In God Mode, your application becomes an application content ecosystem interpreter:
It can transform web pages, XML, or LLM content descriptions into dynamic interfaces.
Native windows (such as Chromium browser windows, WinForm, MFC CView, etc.) are treated as tokens, dynamically composing the UI like a webpage.
No changes to the original code or recompilation are needed—your app instantly becomes a super composite UI generator.

value: Show HN: God Mode for Desktop Apps – Creator Browser

author: tangramdev


value: lepisma

value:
I like having human context around song playlists, but I couldn't find a seamless way to maintain that alongside playlists on major listening platforms. So I made mbzlists where you can create playlist blogs with songs, rich text, and images all together.
The system is built around an extension to the XSPF format (https://xspf.org/) and uses MusicBrainz for universal track identification. These lists (and individual songs) can be shared and played on any platform (currently supports Spotify, YouTube, and Subsonic-compatible players). You can also self-host the app, download the playlists to work with them locally, or generate and host a static page like this https://docs.mbzlists.com/format/output
Here is a small write-up with more details: https://lepisma.xyz/2025/09/02/annotated-playlists/
Source Code: https://sr.ht/~lepisma/mbzlists/
Documentation: https://docs.mbzlists.com/

value: Show HN: Mbzlists – Create and share universal playlists along with stories

author: lepisma


value: skierzp

value:
I wanted Claude to interact directly with my Django app data, so I built a library that exposes Django REST Framework APIs as callable MCP tools with just a few lines of code.

  @mcp_viewset() # <-- Just add this decorator to any ViewSet!
  class CustomerViewSet(ModelViewSet):
      queryset = Customer.objects.all()
      serializer_class = CustomerSerializer

I've been using Claude Desktop to do admin tasks and it's supercharged my workflows:

  - "Deactivate josh@gmail.com's account" -> tools/call `deactivate_user`
  - "Extend jack@teams.com's free trial by 1 week" -> tools/call `update_plans`
  - "How many new users joined week-over-week the past 3 months" -> tools/call `list_users` -> LLM synthesizes the returned data into chart!

It automatically generates tool schemas from your Django serializers and works with any existing auth/permissions (or you can set up MCP-specific rules).
It's still in alpha (v0.1.0a3), but definitely stable enough for real use. There's a demo Blog Django app set up in the repo to showcase, but I'd really love more feedback from folks trying it with real Django apps.
GitHub: https://github.com/zacharypodbela/djangorestframework-mcp
PyPI: pip install django-rest-framework-mcp

value: Show HN: Django REST Framework MCP – Expose Your Django APIs to AI Agents

author: skierzp


value: larry-the-agent

value: Show HN: PasteVault – An open-source, E2EE pastebin with a VS Code-like editor

author: larry-the-agent


value:
Seeing the recent adjustment of Claude Code limits made me think about how the incentives of Anthropic and users are not necessarily aligned for Claude code. Anthropic probably errs on the side of sending too many tokens, while some users might be okay with risking lower quality output for the sake of getting more out of their Claude code plan. So, I developed VibeBooster, which is a proxy that intercepts and shorten the requests that Claude Code makes to the Anthropic API.
By using a cheaper (or even free) LLM, we can summarize, compress, or even outright delete some extraneous tokens that likely wouldn't help Claude Code's output. There are some pretty egregious wastes of your precious tokens that I found by inspecting the requests that were made, and VibeBooster can avoid that waste! From my casual testing, I've been able to save about *40%* of the input tokens sent to the Anthropic API via Claude Code on large messages. Check out the README.md if you want to see some examples of token savings.
The project is open source, and bring your own key. I think there's potential to further prompt tune this, and also flip the philosophy of the product by trying to improve the performance of Claude Code rather than trying to save tokens. I don't feel this is a pure utility; it's also a research project into how Claude Code works, and an art piece demonstrating the weird state LLM-powered products are at this point in time.
Please let me know any feedback or suggestions you might have, thanks!

value: Show HN: Get more out of your Claude Code plan with VibeBooster


value: ignaciovdk

value:
Hey HN,
I’m Ignacio (most people call me Nacho). After years in DevOps and SRE, I kept running into the same story: founders building great products, only to hit a wall when it came to infrastructure.
Sometimes it was CI/CD pipelines that hadn’t worked reliably in months. Other times, a GPT-generated Dockerfile or Terraform config had quietly pushed their AWS bill through the roof. A few had no monitoring, no alerts, just vibes and PagerDuty at 3AM.
So I started helping. At first freelance. Then more structured. That work became Basekick, a kind of “infra rescue” service for startups who’ve gone too far without an infra person, or trusted AI a bit too much.
It’s not a tool or platform, it’s a flat-fee service where I jump into your stack, fix what’s fragile, stabilize your deployments, kill the waste, and help you ship without fear. No vendor lock-in, no bullshit phases, just experience applied fast.
Pricing is flat and public: $1.5k for rescue, $3.5k for foundational rebuilds, and $2k/mo if you want me around long term.
If your infra is a mess, your cloud bill gives you anxiety, or you just want to ship safely again, check it out. Would love your feedback. AMA.
Nacho

value: Show HN: Basekick – We rescue AI startups from broken infra (CI/CD, AWS, etc.)

author: ignaciovdk


value: matt-npl-public

value: Show HN: SocialRails

author: matt-npl-public

title: Show HN: SocialRails


value: queeniepeng

value: Show HN: Receipt-AI – SMS receipts to QuickBooks/Xero for teams on the road

author: queeniepeng


value:
I’m a developer and hobby guitarist, and I built a small Android app to help with practicing.
I always wanted to make a cross-platform native app in C (C99), and this is my attempt.
I started on macOS and then moved to Android. The hardest parts so far have been JNI integration and handling permissions.
The GUI is custom and rendered with OpenGL ES.
The app records seamless, bar-perfect loops with a precount click, so you can strum chord changes and improvise over them.
Happy to answer questions or get feedback.

value: Show HN: Android guitar looper app for creating seamless practice loops


value: Show HN: (PoC) Playwright client API in Chrome extension without Playwright/CDP


value: ravirajkumar

value: built this over livekit's API & infra to adapt a massive livestream audience

value: Show HN: Livestream.neatskills.in

author: ravirajkumar

title: Show HN: Livestream.neatskills.in


value: dimitaratanasov

value:
Recently I found myself spending too much time testing edge cases when building LLM agents. Re-running the same case over and over again really kills the vibe and takes the fun out of building.
As Andrej Karpathy (and others) have said, it should really be called “context engineering” rather than prompt engineering. Writing instructions is the easy part. The hard part is providing the right context and tools while staying within context window limits. And evaluation is the slowest step.
That’s the main purpose of Promposer: to handle evaluations for you, so you can focus on improving prompts and context. It also lets you review production threads to spot issues early and fix them quickly.
It works with IDEs like VS Code, Cursor, Windsurf, and others. I’d love feedback from the community on how you’re handling prompt evaluation today and what you’d like to see in a tool like this.

value: Show HN: Promposer – dev tool for prompt engineering

author: dimitaratanasov


value: DriftMonitor

value:
Hi HN,
I'm Jason Bain, a solo founder and indie dev launching ExeTrace, a tool that introduces a new cybersecurity category: Executable Drift Monitoring (EDM).
Unlike AV, FIM, or EDR, EDM focuses on detecting behavioral drift in executables, subtle changes that signal tampering, misuse, or repurposing. ExeTrace monitors how binaries behave over time, catching threats that traditional tools miss.
I built this to solve a real-world problem: how do you know when a trusted executable starts doing something it shouldn’t? ExeTrace answers that with forensic clarity and modular design.
Since the initial launch, I’ve sharpened the messaging around EDM and updated the landing page to better explain the tool’s purpose, as well as the concept of EDM as a category and how it compares to existing endpoint tools
Landing page: (https://sites.google.com/view/exetrace/home)
Thanks for checking it out, excited to hear what you think.
— Jason Bain
Founder of ExeTrace

value: Show HN: ExeTrace – a new way to detect executable drift (EDM)

author: DriftMonitor


value: ismailcln

value:
I’ve been building a side project called Tapir, a command-line and terminal UI tool for testing HTTP APIs.
Instead of writing tests in code, you can define them in simple YAML files, then run them with Tapir.

value: Show HN: CLI tool for testing HTTP API's with YAML file

author: ismailcln


value:
Hey guys, I was long looking for an app that would let me track practically anything in my life. I was interested in seeing how different lifestyle choices created different outcomes in mood, energy and overall well-being. That's why I created Perfice!
The existing solutions I came across seemed very fixed in what they could track, often specialized but not so flexible.
If you want to read more about it or try the web version, visit https://perfice.adoe.dev. There's also an Android app published on https://play.google.com/store/apps/details?id=io.perfice.app.
# Trackables
Track anything you can imagine, whether it's mood, food or even times pooped. Custom forms can be created, with plenty of different input/data types at your disposal.
You can setup 3rd-party integrations (currently Fitbit, Todoist & Weather) which will save you the burden of manually inputting data.
# Analytics
Analytics offer valuable insights into your life and help you improve. Perfice automatically correlates all data to provide insights like "Your Mood is higher when Steps is higher", "Your Sleep greatly increased today (8h 42min) compared to your average 7h 30min" or "Your Stress is lower when 'Social day' is tagged". You can see charts of your trackables historically over time and discover insights like "Sleep is usually higher on weekends".
# Dashboard
See everything come together in a neat dashboard. Setup different charts to get a quick overview of your life. Completely customizable in terms of moving around widgets and resizing them until you're happy.
# Local-first
The app is built with web technologies to be run completely in the browser, all data is stored locally, with the calculations being done by your machine. Only if you enable synchronization between devices (end-to-end encrypted) or 3rd-party integrations (like Fitbit, Todoist etc) will the data leave your device.
If you wish to check out the source code, it's on GitHub: https://github.com/p0lloc/perfice. The current production version is running on https://perfice.adoe.dev.
Any kind of feedback is highly appreciated, both positive and negative!

value: Show HN: Open-source self-tracking app to gain insights about my life


value: wsxiaoys

value:
I got tired of screenshotting claude code sessions to share with teammates, so I built this. It converts session into beautiful web pages with proper rendering of tool calls.
Works by parsing CC's session, extracting steps, then uploading to a simple sharing service. Takes about 2 seconds to generate a shareable link.
Live examples:
- https://cc.getpochi.com/s/IldMh27j (Research claude-code-share repo)
- https://cc.getpochi.com/s/mrqGqgOT (Creating an issue in a GitHub repo)

value: Show HN: Turn Claude Code sessions into beautiful web links

author: wsxiaoys


value: ibash

value:
Hi HN! I built a multiplayer text game where players connect through Claude Code, Cursor, and other MCP clients.
I've been enjoying Claude Code and wondered what would happen if I made a multiplayer game as an MCP tool. It's a weekend experiment to see what happens when AI becomes the interface to multiplayer games.
Every player is a real person (or autonomous AI) leaving permanent marks on a shared world. Break a chair, it stays broken for everyone. Write on a wall, others will find it. Claude/Cursor is just your interface - like using a very smart terminal to play a MUD.
Try it: No signup needed. Just make up any player_id and password:
- Live at: https://www.summon.app
- Claude Code: `claude mcp add game "https://mcp.summon.app/mcp?player_id=<username>&password=<password>" --transport http`
- Cursor: there's an "add to cursor" button on the website
The world persists between sessions. Use 'play' to create a character, then explore. You can 'conjure' objects and 'do' arbitrary actions (interpreted by LLM).
No real-time messaging yet, but you can leave messages by conjuring signs and writing on them.
Technical: Built with fastmcp and runs a small LLM server-side to interpret actions. The interesting part is how different the game feels when your interface is an AI that can creatively interpret your intentions.
Would love to have folks join and explore together.

value: Show HN: MMO MCP – A multiplayer game you play through Claude Code and Cursor

author: ibash


value:
残心/Zanshin is a media player that allows you to:

  - Visualize who speaks when & for how long
  - Jump/skip speaker segments
  - Remove/disable speakers (auto-skip)
  - Set different playback speeds for each speaker

It's a better, more efficient way to listen to podcasts, interviews, press conferences, etc.
It has first-class support for YouTube videos; just drop in a URL. Also supports your local media files. All processing runs on-device.
Download today for macOS. Also works on Linux and WSL, but currently without packaging. You can get it running though with just a few terminal commands. Check out the repo for instructions: https://github.com/narcotic-sh/zanshin
Zanshin is powered by Senko, a new, very fast, speaker diarization pipeline I've developed.
On an M3 MacBook Air, it takes over 5 minutes to process 1 hour of audio using Pyannote 3.1, the leading open-source diarization pipeline. With Senko, it only takes ~24 seconds, a ~14x speed improvement. And on an RTX 4090 + Ryzen 9 7950X machine, processing 1 hour of audio takes just 5 seconds with Senko, a ~17x speed improvement.
Senko's speed is what make's Zanshin possible. Senko is a modified version of the speaker diarization pipeline found in the excellent 3D-Speaker project.
Check out Senko here: https://github.com/narcotic-sh/senko
Cheers, everyone; enjoy 残心/Zanshin and Senko. I hope you find them useful.
Let me know what you think!
~
Side note: I am looking for a job. If you like my work and have an opportunity for me, I'm all ears :)
You can contact me at mhamzaqayyum [at] icloud.com

value: Show HN: Zanshin – Navigate through media by speaker w/ fast diarization


value: abrdk

value:
Repeater is a lightweight task scheduler for data analytics.
It helps load data into a DWH and update marts without the overhead of heavier orchestration tools.
Jobs are defined in TOML files as sequences of command-line programs and can run on a schedule or be triggered by the success of other jobs.
An example Docker Compose setup demonstrates its use with ClickHouse as the DWH and Streamlit for BI.

value: Show HN: Repeater – lightweight task scheduler for data analytics

author: abrdk


value: arefm

value:
Cross-platform CLI that starts 15+ enterprise services with one command:
• Databases: PostgreSQL, MySQL, MongoDB, Redis, SQL Server, Neo4j, CouchDB
• Messaging: Kafka, Zookeeper, RabbitMQ
• Monitoring: Prometheus, Grafana, ELK stack
• API Gateway: Kong with admin interface
Interactive config command lets you customize any service (image, ports, volumes, env vars).
Replaces complex docker-compose setups with simple commands.
npm install -g infra-tools
infra-tools databases     # Start all databases
infra-tools config postgres  # Configure PostgreSQL interactively
infra-tools status        # Check what's running with colored status

value: Show HN: Infra-tools – CLI to spin up 15 dev services instantly

author: arefm


value: loredanacirstea

value:
After 2 years of programming 12-16h/day (self-funded) and more than 50 progress demo videos, I built the most flexible WASM-based blockchain engine.
Today I made the source code public.
This is the only blockchain engine capable of metamorphosis: it can change any system contract while running, including its consensus protocol (which is a finite state machine interpreted by a WASM contract; can also be seen as a visual diagram :D)
* Multi VM, language-agnostic, general & domain-specific language interpreters, a variety of host APIs.
    * EVM, TinyGo, AssemblyScript, JavaScript, Python, Rust, FSMvm (finite state machine interpreter).
    * host APIs: wasmx (our core API), wasmx crosschain, wasmx multichain, wasmx consensus, ewasm, WASI adaptor, GRPC, libp2p, HTTP, SQL, KV dbs, SMTP, IMAP
    * multichain, crosschain, atomic crosschain transactions: each node can run multiple chains and subchains
    * digital identity integration
Compatible with both Ethereum and Cosmos SDK wallets.
WHY?
My friend (the high-level architect) and I (the builder) wanted a platform for storing proofs. I also wanted a global-level digital voting platform that is mathematically verifiable.
Demo videos: https://www.youtube.com/c/LoredanaCirstea/videos
We want to start a new testnet soon. But be aware that a stable version of the chain will require a digital identity (for validators and probably users, too). We DO NOT have a token, you WILL NOT make "crypto" money. Read our Moral License from the repo, and if you share our WHY, join our Discord.

value: Show HN: WasmX: metamorphic WASM blockchain engine [first public release]

author: loredanacirstea


value: Crystalin

value:
I've been working on this internal project initially both to learn more Vibe-Coding but also to help our teams and projects to use AI more efficiently.
As more people used it, it grew to support multiple teams/projects to analyze their Claude Code conversation and optimize them over time (understanding how to write better conversation with Claude Code and share knowledge between them)
With time we added support for multiple Claude account management and monitor usage/rate limit.
This is a simple project but has proved to be quite useful for our company.
We have reached 5000+ conversations (~400k messages) in our dashboard. We could try to make it a paid service but we felt it would be more useful to people (and to us) to open-source it for people to use and improve it too.
I've added an all-in-one docker image to test it in a single command.
I'll be happy if you have suggestion/comments

value: Show HN: Agent PromptTrain – Manage Claude Code Conversations for Teams

author: Crystalin


value: leonagano

value:
Hey HN,
I built this tool that maps out every YC company worldwide. You can zoom into cities, explore clusters, and click to see details like batch, location, and website.
Why I made it? I thought it’d be fun to visualise it, using the same infrastructure I already use in my other project: FoundersAround
Some things I’m still improving:
• Improve performance
• More filters (industries, stages, etc).
Would love your feedback.
https://yc.foundersaround.com

value: Show HN: 5k+ Y Combinator startups on a world map

author: leonagano


value:
Sudo — AI monetization infrastructure for developers
4 months ago, I kept running into the same problem building AI products: inference is expensive, subscriptions are blunt, and ads weren’t designed for generated content.
So I started working on Sudo, an infrastructure layer that makes it easier to launch and monetize AI apps.
⸻
Key features (in beta now):
• One API to route across top models (no vendor lock-in)
• Real-time metering & billing (usage-based, subscriptions, or hybrid)
• Optional AI-native ads — contextual, developer-defined, and personalized
• Dashboard for tracking usage, revenue, and margins
You can try it here: https://sudoapp.dev
Docs: https://docs.sudoapp.dev
Discord: https://discord.com/invite/UbPf5BgrfK
⸻
We’re giving early testers 10% bonus credits for the first month.
Would love feedback — what feels clunky, what’s missing, and what would make this a true drop-in for your projects?

value: Show HN: Sudo – AI monetization infrastructure for developers


value: Rachid-Chabane

value: Show HN: MCP Secrets Vault – Local MCP proxy to keep API keys out of LLM context

author: Rachid-Chabane


value: xmorse

value: Show HN: Holocron – Lovable but for Docs Websites

author: xmorse


value: atulvi

value: It lets you create a scrollable TV like experience from a set of channels/playlists from Youtube. Non algorithmic feed means this can surface old random videos from the channels you love.

value: Show HN: TV/Mode – A webapp to create randomzied TV like experience from YouTube

author: atulvi


value: geminimir

value:
We kept breaking production with small prompt edits — suddenly outputs weren’t valid JSON, fields disappeared, or formats changed silently.
So we built Promptproof, a GitHub Action that runs in CI and blocks PRs when prompts produce invalid outputs.
Features:
- Validates JSON output
- Enforces required keys & schemas
- Runs fast in CI (no external infra)
- Works with OpenAI, Anthropic, and local models
- Adds PR comments so reviewers see failures immediately
We’d love feedback: which rules or integrations would make this most useful for you?
Repo: https://github.com/geminimir/promptproof-action

value: Show HN: Promptproof – GitHub Action to test LLM prompts, catch bad JSON schemas

author: geminimir


value: selljamhere

value:
Whodunit started as a pen-and-paper game for family game night. It evolved into a playable web app as the surprise reveal in a GopherCon '25 lightning talk.
The mysteries are all written by LLMs. Some are better than others, but most work nicely.
The web app is written in go with templ HTML templates, HTMX for on-page interactivity, and a turn-based game engine written as a Temporal workflow.
Check out the mystery gen write up for more info: https://blog.apartment304.com/whodunit-llm-murder-mysteries

value: Show HN: Whodunit – Solve AI written mysteries

author: selljamhere


value: xtofalex

value:
EDA (Electronic Design Automation) usually means heavy installs and a steep learning curve. With NajaEDA + Colab, you can experiment with netlist algorithms (logic pruning, ECOs, hierarchy browsing…) right in your browser — no setup required.
Try it here: https://colab.research.google.com/github/najaeda/najaeda-tut...
It’s meant as a sandbox for learning, prototyping, and teaching (not a production flow). Curious what algorithms or flows you’d like to see next!
Repo: https://github.com/najaeda/najaeda-tutorials
PyPI: https://pypi.org/project/najaeda

value: Show HN: Experiment with Electronic Design Automation (EDA) in the Browser

author: xtofalex


value: beabhinov

value: Show HN: HeyGuru - A Quiet Space for Your Big Questions

author: beabhinov


value: indest

value: Show HN: Special trivia event with WWII questions only

author: indest


value: wirehack

value:
Many developers have faced the challenge of running MCP Servers locally, manually setting up numerous dependencies, retrieving access tokens and low quality.
At Klavis, we've made this process simple with just two commands. Starting today, it's easy to pull our MCP Server Docker image to instantly spin up any of our high-quality MCP Server.
From https://github.com/Klavis-AI/klavis, it is as simple as:
docker run -p 5000:5000 -e AUTH_DATA='{"access_token":"ghp_your_github_token"}' ghcr.io/klavis-ai/github-mcp-server:latest
Or use our managed OAuth service:
docker run -p 5000:5000 -e KLAVIS_API_KEY=$KLAVIS_API_KEY ghcr.io/klavis-ai/github-mcp-server:latest
No dependency management. No environment setup. For authentication, you can self-host or use our managed OAuth service.
Technical details:
50+ MCP servers available (GitHub, Gmail, Slack, Notion, Jira, Linear, Salesforce, etc.); Lightweight Alpine-based containers; Support for both Klavis-AI OAuth service or BYO tokens; CI/CD ready with automated updates via watchtower; Distributed via GitHub Packages (ghcr.io)
GitHub: https://github.com/Klavis-AI/klavis
Youtube video demo: https://www.youtube.com/watch?v=NITgggPT3pA
Hosted versions: https://www.klavis.ai
One more thing: As AI agents require more tools, they face limitations in tool selection, context window size, and understanding human context. We are building a solution to overcome these constraints, enabling agents to access any tool they need via MCP servers. Join our waitlist to be the first to know when we launch it. https://www.klavis.ai/waitlist

value: Show HN: Klavis AI open source Docker images for 50+ high quality MCP servers

author: wirehack


value: amirkabbara

value:
Most AI systems rely on vector search. It finds similar fragments, but not the right context. It can tell you two passages are related, but not how they connect or why they matter together.
So everyone ends up “engineering context” — manually deciding what to stuff into prompts using RAG pipelines, agentic search, or trees of thought. These tricks work for small demos, but not at scale. That’s why MIT found that 95% of AI pilots fail, and why you keep seeing threads about vector search breaking down.
We built a different approach: a retrieval model that predicts the right context for every turn in a conversation. On Stanford’s STaRK benchmark it ranks #1. It’s also fast enough for voice chat, where even 100ms of lag kills the experience.
We also introduced a new metric: retrieval loss. Like language model loss, but for retrieval. Traditional systems get worse as your dataset grows. With Papr, retrieval loss drops as your dataset grows — meaning more knowledge makes your system smarter, not dumber.
Our memory APIs are available to try out with a generous free tier. We’d love feedback, questions, and brutal critique. Full details here - https://substack.com/home/post/p-172573217

value: Show HN: Papr – Predictive Memory for AI (Ranked #1 on Stanford's Benchmark)

author: amirkabbara


value: jackcarlson

value:
Buying a used car in the US usually means paying $40+ for a Carfax or AutoCheck report — or worse, falling into “free VIN check” sites that upsell hidden subscriptions. We thought that was broken.
So we built Carvia:
$9.99 per report – no subscriptions, no hidden fees.
Comprehensive data – accidents, ownership, mileage, recalls, title issues, theft, etc.
AI-powered insights – we generate a simple Carvia Score (1–5), depreciation curves, risk flags, and cost-of-ownership guidance.
Modern UX – clean, mobile-friendly reports that first-time buyers and parents can actually understand.
Every report doubles as a high-intent lead for dealers, insurers, and lenders — creating a B2B revenue stream while keeping consumer pricing fair.
Some traction:
27k+ users so far (95% organic traffic).
Average report costs us ~$1.87 in data/API calls.
Partner discussions with marketplaces and dealer networks.
Demo/sample report: https://carvia.ai
We’d love feedback from HN on:
Where else AI could add real value in car shopping.
Best ways to structure B2B billing (pay-per-lead vs subscription).
Any non-obvious growth channels beyond SEO + partnerships.

value: Show HN: Carvia – $9.99 AI-powered vehicle history reports

author: jackcarlson


value: Show HN: Open-source AI writing your javadoc


value: xlemonsx

value: Show HN: Sysdine – An interactive tool for practicing system design interviews

author: xlemonsx


value: collibhoy

value: Show HN: Epic Scale makes development teams faster

author: collibhoy


value: DmitryDolgopolo

value:
Hi HN! Excited to share early access to Amber.
I’ve tried every all-in-one messenger out there (Beeper included) but they always fell short. No real folders, no AI, clunky UI, no CRM features… As a founder who speaks with hundreds of people every quarter, I needed something better. So I decided to rebuild the entire experience from ground up.
Thoughts from one of our users: "The app I've been searching for for a looong time."
Check it out for free today!
Demo:
https://www.loom.com/share/8b5bc80b9893436b9190ae41fc3f0f50
Features:
- All messages (Whatsapp, Telegram, iMessage) unified in a beautifully crafted interface.
- Split inboxes (folders) to effortlessly focus on work, friends, a particular project.. whatever matters the most right now.
- Mark read – no read receipts (even on Whatsapp and Telegram), mark done only when you’re done.
- Personal CRM: a lightweight private database of knowledge about each person with (optional) AI pulling important facts straight from conversations. (the latter is coming soon)
- Command bar + shortcuts.
- Send later + reminders.
Everything is securely stored on-device. All messages are end-to-end encrypted and go straight from your device to the network of choice – never touching our servers.

value: Show HN: Amber – better Beeper, a modern all-in-one messenger

author: DmitryDolgopolo


value: CreepGin

value: Show HN: Unity WebGL Playground

author: CreepGin

title: Show HN: Unity WebGL Playground


value: max-lee-dev

value: hi im max and i hate current chat interfaces! im 18 and have worked at 2 vc backed startups as a swe (max-lee.dev). now looking for more opportunities! maxplee8@gmail.com if you wanna chat :)

value: Show HN: ChatGPT's interface sucks. So I built a branchable canvas for LLMs

author: max-lee-dev


value: titusblair

value: Show HN: Dripz – Try on outfits from real life, online, even AI Instantly

author: titusblair


value: aanthonymax

value: Show HN: Lightweight server-driven template language for JavaScript

author: aanthonymax


value: lowsun

value: Show HN: Extending Windows Batch Script with audio, mouse and keyboard input

author: lowsun


value: stavros

value: I don't like installing stuff on my system, so I vibe coded a runner that runs commands in Docker. You give it a YAML with the configuration for the command you want to run (mounted folders, env vars, Dockerfile, etc), and it builds and runs it.<p>That's it, I hope you like it.

value: Show HN: A runner that runs commands in Docker

author: stavros


value: calebjosue

value: Show HN: Emosongi – Choose emoji, get a song recommendation

author: calebjosue


value: SaltNHash

value:
Don't get your knickers in a knot. We were surprised too.
We are the team behind TideCloak which we shared on HN previously (https://news.ycombinator.com/item?id=42460131).
This time we ran an experiment. What happens when you apply a fundamentally different security model to the worst possible development process?
Behold...
SecureAF https://secureaf.lovable.app/
Build video 6 mins https://youtu.be/tx5MsJ3jeQw
The code and UI are questionable and the quality assurance is non-existent. But the security model holds by treating even us as malicious, keeping authority over data out of reach for everyone except the rightful user.
Can you actually use SecureAF? Hell no. We built it in 20 minutes and never tested it. What's wrong with you?
What you reckon?

value: Show HN: Provably secure vibe coding is now a thing

author: SaltNHash


value:
I built a website featuring the paintings at https://pomological.art and a [https://chromewebstore.google.com/detail/mhoodlbpfiobhfbblii...](Chrome extension) that shows a random watercolor from the collection on each new tab.
*The story*: In the 1880s the USDA commissioned 7,500+ botanical illustrations to document American fruit varieties in a time when we had over 14,000 types of apples. The collection got digitized after decades in government storage (thanks especially to Kent Whealy and then Parker Higgins), but it remains scattered across government sites, Wikimedia, and the Internet Archive, and difficult to really explore and dig into.
*The site*: Lets you filter by crop type, browse by artist or range of years, examine particular varieties, or see where specimens came from on a map. You can explore how the same variety changed in appearance over time, or browse paintings that show plant diseases. My goal is to continue to research and start to provide history and context for the varieties themselves. The Chrome extension just serves up a random painting each time you open a tab. It's a nice way to stumble across varieties you've never heard of.
*Some context:* Previous HN discussions covered the collection itself (https://news.ycombinator.com/item?id=44287019, https://news.ycombinator.com/item?id=44397168). Parker Higgins FOIA'd the USDA and got them to drop their paywall after discovering they'd made a grand total of $565 over several years (https://parkerhiggins.net/2015/11/the-usda-pomological-water...).
*What's cool*: Apple hunters use these paintings to identify "extinct" varieties still growing in abandoned orchards. The Lost Apple Project matched fruit from a tree on Eastern Washington's Steptoe Butte to paintings of the Nero apple, which was assumed to be lost for a century. The Montezuma Orchard Restoration Project a few years back rediscovered the Colorado Orange the same way, matching fruit from a lone tree to four paintings in the collection.
*Why I care:* I'm starting a small cidery in Oregon (called Landrace Cider) and have become obsessed with rare and heirloom varieties over the years. I stumbled across the collection a couple years ago doing some variety research on [Orange Pippin](https://www.orangepippin.com/), and it still boggles my mind that such an incredible resource exists and lives in the public domain and yet so few people have ever heard of it.
*Also:*
I wrote a more in depth slash thoughtful essay on the topic, which tells the full story of the collection and gives more context for why the USDA felt compelled to pay artists to paint fruit: https://andrewhaupt.substack.com/p/a-field-guide-to-resurrec...

value: Show HN: Making the USDA Pomological Watercolor Collection Browsable


value: grigio

value: Show HN: LLM‑Simple‑Eval – Easily Benchmark LLMs for Your Use Case

author: grigio


value: AttentionBlock

value: Inspired from my experience with LLM as a judge

value: Show HN: I built an app where AI models debate real Polymarket events

author: AttentionBlock


value: ruben-davia

value:
Hi HN!
I'm Ruben, the founder of Davia (https://davia.ai/). Davia is a platform to build, edit and share applications, where builders get rewarded based on usage while users can discover and reuse any app's code to fit their own needs.
The problem we're trying to solve: Today's AI coding platforms charge you upfront for creation - it's like paying per block modification in no-code solutions. This works for commercial projects because you're aiming to generate revenue that exceeds your creation costs, but doesn't fit the reality of side projects and community apps that builders share for free. Most side projects require significant SEO effort and marketing to reach people who would actually find them useful, leaving creators with great apps but no discoverability.
For users, when you need a specific tool for your project, you don't want to build it from scratch when someone has probably already created something similar.
Our solution is a YouTube-style platform for apps where builders publish with open code so anyone can view, modify, and reuse applications. Unlike traditional platforms like GitHub (designed for developers as builders and users) or app stores (where code is closed and can't be modified),  we focus on making apps accessible and customizable for everyone.
We verify code quality and prevent spam to maintain platform standards. Builders get rewarded when their original apps are used as foundations for others' projects. Users discover apps, customize them for their needs, and build their own versions through reuse. They can either self-host or use our platform hosting, paying based on team usage when they scale to multiple users on our infrastructure.
You can try it here: https://davia.ai/. We'd love to hear from the HN community, whether you're a vibe-coder or curious about creator economics in the age of AI-assisted development!

value: Show HN: Davia – A community platform to build, share, and edit applications

author: ruben-davia


value: lyogavin

value:
I built an AI agent that generates complete game UIs.
Creating game interfaces isn't technically hard—it's just painfully tedious. When you're dealing with dozens of scenes and hundreds of interactive elements, the repetitive work adds up fast.
What it does:
* Generates buttons, panels, icons, etc. if needed and build the complete working UIs automatically
* Creates multi-scene flows with proper navigation between screens
* Provides diverse visual styles to match your game's aesthetic
* One-click export directly to Unity
Intro video is here: https://youtu.be/Tkl5dj0StTw
Feedbacks are welcome!

value: Show HN: Game UI Generator

author: lyogavin

title: Show HN: Game UI Generator


value:
I built an MCP server that lets AI tools search Slack history to answer “why did we do X?” It reads messages and threads with your Slack user token, so agents like Claude Code/Desktop, VS Code and Cursor can pull context that isn’t in code or PRs.
Features:
* Search by channel, user, date range, reactions, has:file, etc.
* Get full thread replies.
* Look up users by ID or display name.
Example uses:
* “Why is foo_summary BigQuery table a materialized view?”
* “Summarize this week’s topics in #random.”
More details in the blog post: https://dev.to/shibayu36/making-historical-context-easily-di...

value: Show HN: slack-explorer-mcp – Let AI find historical context in Slack


value:
Hi HN, I’m Tina
Over the past months I’ve been frustrated with how often LLMs hallucinate — they generate answers with high confidence, but sometimes the information simply doesn’t exist. For teams relying on AI (content, research, finance, even legal), this can be a serious problem.
So I’ve been working on CompareGPT, a tool designed to make LLM outputs more trustworthy. Key features:
Confidence scoring → surfaces how reliable an answer is.
Source validation → checks whether data can be backed by references.
Side-by-side comparison → run the same query across multiple models and see consistency.
You can try it here: https://test.comparegpt.io/home
Right now it works best in knowledge-based queries (finance, law, science), and we’re still improving edge cases. I’d love to hear your thoughts, feedback, or even brutal criticism from this community.
Thanks for reading!

value: Show HN: CompareGPT – Making LLMs More Trustworthy by Reducing Hallucinations