value: zxcholmes

value:
IdeaMiner analyzes successful websites and generates related business ideas using AI.

  Instead of generic brainstorming, it:
  1. Extracts key data from proven businesses (audience, model,
  positioning)
  2. Uses AI to generate adjacent opportunities
  3. Provides similarity control (copycat to completely different)
  4. Supports multiple languages and target markets

  Database includes 7,000+ successful sites across 40+ categories.

  Built this because most startup ideas fail due to lack of market
  validation, not lack of creativity. Better to start with proven demand
  and find new angles.

value: Show HN: Turn any successful website into a business idea with AI

author: zxcholmes


value: artiomyak

value: Show HN: Encode Base64

author: artiomyak

title: Show HN: Encode Base64


value: jakejohnson

value:
Hi HN, I kept running into the same problem when helping clients forecast expenses for AI agents. Pricing can be complex and requires some serious spreadsheeting. You need to factor in different model tiers, token estimates, prompt caching, and a variety of services across your specific workflows.
After manually building spreadsheets for each client, I decided to build BotBudget - a free calculator that models these costs across hundreds of LLM models and AI services.
Key features:

  - Multi-service workflows (LLM + STT/TTS + RAG + guardrails)
  - Recent pricing data for major providers
  - Built-in tokenizer for prompt estimation
  - Cost projections with growth scenarios
  - Shareable team links

It's been helpful for my consulting work, and I'm hoping others building AI products might find it useful too.
Try it at botbudget.com - would love feedback on what's missing or could be improved.
Simple stack btw: It’s built with Next.js, hosted on Cloudflare Workers using @opennextjs/cloudflare, and flat JSON pricing data updated daily with GitHub Workflows from self and community maintained sources.

value: Show HN: BotBudget – AI Agent Cost Calculator

author: jakejohnson


value:
Hi HN! Voicelab is an API for optimized inference of top open-source TTS models. CSM-1B and Orpheus are the currently supported models, but we’re adding Dia, Chatterbox, Kokoro, and more in the next couple of weeks.
While new ultra-realistic open-source voice models come out every month, most people still use one of a couple of closed-source providers. The reason is that these research previews can lack production-readiness; their inference stacks are usually not amenable to running things scalably (i.e. only one concurrent stream per GPU), and the public weights can generate speech of inconsistent quality.
We solved this by building out serving infrastructure that’s optimized for audio transformers (to make scalable inference quicker and more cost-effective) and by post-training public weights using voice actors, phone calls, and other privately collected audio data to make generation quality more consistent.
Open-source voice is becoming exciting, and the hope is that we can provide a high-quality, scalable inference layer to use all of the rich research that these teams are putting out. Feedback is much appreciated :)
Docs: docs.vogent.ai
Playground: app.vogent.ai

value: Show HN: Vogent Voicelab – Inference for open-source TTS models (CSM-1B etc.)


value: xingzheli

value:
I was working on function call schema for my AI startup recently, but I didn't have a good workflow, so I made a GUI editor to make it easier and faster to write JSON schema. It shows what annotations you can give to each property in case you aren't familiar with JSON schema keywords, so it's very user-friendly.
It also enforces the correct structure for the different types like "function" and "object", so you can't make syntax or structural errors. Cursor didn't use the OpenAI format when I auto-completed a {"type": "function"} schema, but this isn't a problem using my tool.
Why use this over Pydantic? It's a lot more visual, and you can reorder properties and change "required" properties without wrangling with text, so it's easier when you're in the prototyping stage.
The source is at https://github.com/anusarati/json-schema-builder.
What do you all think?

value: Show HN: Open-source GUI editor for JSON and function call schema

author: xingzheli


value:
I built MileAway, an iOS app that tracks the countries you’ve visited and lets you share your travel map with friends.
The core idea is simple:
 • It auto-detects which countries you visit (based on location permissions)
 • You get a clean profile with flags, dates, and a travel history timeline
 • You can follow friends, compare maps, and compete on a country leaderboard
 • Optional import from photo library or manual input
It’s designed to be lightweight and visual. I built it solo for fun, mostly to solve my own need for a clean way to track where I’ve been and see my friends’ travels without the noise of social media.
I’m manually gifting 1 year of Pro to anyone who follows 3+ people and sends me their profile link.
Happy to answer questions or dig into the technical side if anyone’s interested.
→ https://mile-away.com
→ Example profile: mile-away.com/profile/qdUPqL2gt8eb6x9AYbsnWSYroAm2

value: Show HN: MileAway – A Social Travel Tracker to Share Your Visited Countries


value: Comment below your feedback, would love to hear your thoughts

value: Show HN: We're building Instagram for e-commerce


value: ayakaneko

value:
This is the project we've worked for over a year, gaining already over 1300 stars, 200 Discord members, the container of cyber livings, Project AIRI, where you can own your own customized AI companion on mobile devices, desktops, and be able to play Minecraft, Factorio, connects Discord, Telegram, while be able to do normal chat, realtime voice chat, and many other things.
We were working hard for the past month to deliver better Desktop version of our Project AIRI, we decided previously to hold our initial show on HN until next release with many more features. However, yesterday, xAI announced Grok Companion mode, the so called AI companion to have a girl friend / cyber waifu living inside your device backed by xAI's Grok models.
Luckily, we were also working on the new landing and documentation page, the new fresh look isn't like any other AI projects, now the work has done, I think this is quite a opportunity for us to show to everyone.
So this is the post about it.
You may wonder who Neuro-sama is, she is the famous AI VTuber on the internet for the past two years of AI hype, capable of playing Minecraft, Among Us, and chat with stream. I've always enjoyed watching her and her creator Vedal streams and clips.
Last year, between May 2024, and June 2024, I started to re-create what Vedal has done for years. We initiated the organization Moeru AI, and Project AIRI for this specific work. We created so many beloved open source projects when working on this project, including the previous posted xsAI (Vercel AI SDK alternative) on HN, and unspeech for speech providers works like many other LLM providers gateway... feel free to check http://github.com/moeru-ai and http://github.com/proj-airi.
The project wasn't finished yet, we are still finishing it with better UI and user friendly design. Please send us your feedbacks about this project on GitHub https://github.com/moeru-ai/airi/issues.

value: Show HN: Recreation of Neuro-sama for a year, alternative of Grok Companion

author: ayakaneko


value: xenodium

value: Show HN: Mochi Invaders – Like Space Invaders but for Practicing Japanese Kana

author: xenodium


value: ahaucnx

value:
I coded this small calculator to create more awareness on your lifelong exposure to air pollution by comparing it to cigarettes smoked.
Future improvements might be to select several cities in case you moved around.
Let me know if you have suggestions!
By the way, done with Claude Code Sonnet 4 and I spent around an hour on it. I think small programs like this is where AI tools really shine as you don’t need to ensure that the code fits into a larger architecture.

value: Show HN: How Many Cigarettes You Smoked Being Exposed to Air Pollution

author: ahaucnx


value:
I built an Open Source tool that lets you search your Git commit history using natural language.
You can like:
 •“When was login added?”
 • “What changed in the auth flow?”
It embeds commit messages using OpenAI or Hugging Face models, stores them in ChromaDB, and queries them semantically with GPT via LangChain.
Features:
 • Fast local search (local storage)
 • Natural language query interface
 • Simple Typer-based CLI with commands to list and manage embeddings
Ideal for developers who want a smarter way to explore version history.
GitHub: [https://github.com/AbhinavArora95/git-log-search]
Feedback welcome!
Contribution Welcome!

value: Show HN: OSS Semantic Git Commit Search – Ask questions about your Git history


value: hernansartorio

value:
Hi, I just relaunched my website builder after more than two years of iterations since its initial launch.
It now features a free plan that lets you use custom domains completely free.
Happy to answer any questions.

value: Show HN: Pagy 2.0, a free drag-and-drop website builder

author: hernansartorio


value: GreedIsland

value:
After years of rebuilding the same core systems, chasing down bugs across code to assets, constantly losing momentum to engine blockers, and using the latest AI tools, we started wondering, “how much faster could we build if we embedded AI directly into our workflow?” That question turned into Sapient.
Sapient is an AI-native dev tool embedded into Unreal as a plugin. Sapient is best for gameplay or systems engineers and technical designers, and it supports prototyping through production workflows including: gameplay logic generation (C++, Blueprints, Behavior Trees), Unreal feature integration, refactoring, debugging, project diagnostics, and dependency tracing (code to assets to engine).
Unlike other AI tools that are code only, don’t understand games, or just aren’t integrated into your workflow, Sapient is fully integrated into engine and works along side you in the Editor e.g. no copy-pasting or not being able to understand files. It helps most by speeding up iteration cycles or when understanding what you’re building matters. For instance, it analyzes and understands code, assets, plugins, data, and engine in real-time to help with co-ideation and design (GDD > TDD) to implementation and polishing on production-grade projects.
It’s been a labor of love, and scaling this has been incredibly difficult. For example, one of our early AA studio partners had a Blueprint graph with over 70,000 nodes. Everything we built for 100-node graphs just melted. Battle-testing with studios has led to a multitude of hard-fought lessons, and we're now opening an early beta in hopes of making it even better.
If you're building in Unreal, we’d love to hear from you:
1. Where do AI dev tools help vs fall short in your workflow?
2. What slows down your iteration loop most?
3. For those who try Sapient, where does it shine, where does it break, and what’s missing?
We just launched a free tier where folks can get started testing Sapient immediately. (We also provide unlimited access for 2 weeks if you're going deep on a big project)
If you’re building in Unreal, give it a spin and let us know what you think!

value: Show HN: Sapient – AI Agent for Unreal Engine: Code, Blueprints, Game AI

author: GreedIsland


value: akunzler

value:
I've always been dissatisfied that simple Mandelbrot explorers proport themselves as a Fractal Graphing Calculator. In summer break between semesters, I started making a real graphing calculator, parsing LaTeX to WebGL to let you graph most any combination of z and c.
Fun ones to try include
- sin(z^2+c)
- c^z
- z^{1.7}+c
Also supports animation, just enter any other letter and turn it into a variable. Supports Mandelbrot or Julia Set style calculation.
Use with a graphics card or integrated graphics

value: Show HN: Beyond Z²+C, Plot Any Fractal

author: akunzler

title: Show HN: Beyond Z²+C, Plot Any Fractal


value: Show HN: Flowrite – Why I built a songwriting app instead of paying subs


value: palkan

value:
Meet the Ruby on Rails Getting Started tutorial that runs fully in the browser: a web server, a console, a database—everything you need to explore the framework without dealing with local installation.
Source code: https://github.com/evilmartians/rails-tutorial
This is the first step towards an in-browser development environment for Rails that could be used with AI app generators like Bolt among other things.

value: Show HN: Ruby on Rails tutorial running in the browser

author: palkan


value: justagoat

value:
Hi HN,
Even the smartest AI coding agents stall when the fix isn’t in their training data. AgruSeek runs an agentic search loop across ~30 M developer sources to dig up solutions normal web search misses.
REAL‑WORLD USES
• Found an undocumented `--runtime‑bypass` flag (buried in a 2017 gist)
• Pulled actual Claude Code pricing from forum anecdotes - no “contact us” paywalls
• Traced a race condition by cross‑linking five issue trackers across forks
WHY POST NOW
We’ve abused AgruSeek internally for three weeks; we’d love outside stress tests.
Access is free (limited seats for Beta, no saleswall).
Would love to get your feedback.
Thanks!
— Nadav & the tiny AgruSeek crew

value: Show HN: ArguSeek – Agent‑first deep‑search API for hard‑to‑find dev answers

author: justagoat


value: uaghazade

value: Show HN: I bulit Kanba, open source alternative to Trello, self-hostable PM tool

author: uaghazade


value: Show HN: I built the tool that converts any string to array


value: birken

value: This launched at the beginning of the MLB season and can handle anything from simple queries like "Which team has the best record this year?" to complicated queries like "When was the last time a hitter had 2 home runs in the 5th inning?", and anything in between.

value: Show HN: Screwball.ai – MLB stat search in real-time with natural language

author: birken


value:
I’m relatively new to the whole “credit card game” but over the past year I’ve been optimizing my daily spending for points. In August I’m heading to Southeast Asia for a year, and I have all my flights covered using points earned just from everyday spending.
Keeping track of all the different rewards categories was confusing, so I built The Card Caddie, a free tool that helps you figure out which credit card to use for each purchase to maximize points and perks.
It’s pretty simple right now, but I’d love feedback, ideas, or any suggestions for features that would actually help you.
Website: thecardcaddie.com
Quick YouTube demo: https://www.youtube.com/watch?v=PyVtDnfb2YM
Chrome Extension (just approved and released!): https://chromewebstore.google.com/detail/bbjandoogppgnggflaa...
Thanks for checking it out!

value: Show HN: The Card Caddie, free tool to optimize credit card points


value: ajabhish

value:
Here’s a draft “Show HN”–style post you can use on Hacker News:
---
*Show HN: Tough Tongue AI – Agentic Role‑Play for Visa Interview Prep*
A realistic, memory‑driven AI coach to help you ace every consular Q\&A
I’ve built *Tough Tongue AI*, an agentic role‑play platform designed to simulate real visa interviews and drive continuous improvement across sessions. Instead of one‑off mocks, our AI:
* *Remembers your past answers* so you never repeat the same mistakes
* *Generates dynamic follow‑up questions* based on your responses
* *Offers instant, actionable feedback* on content, tone, and phrasing
* *Supports cross‑session progress tracking* with personalized drills
* *Adapts to any visa type*—student, work, tourist, H4, Schengen, and more
I’d love to get feedback from the HN community on:
1. How realistic are the role‑plays?
2. What additional visa‑specific features would you want?
3. Ideas for integrating community‑driven question sets.
*Try it now:* [https://app.toughtongueai.com/collections/685906c3a232001892...](#)
 *Source & Docs:* [https://github.com/your‑org/toughtongue‑visa](#)
Any thoughts or suggestions are hugely appreciated!

value: Show HN: Voice AI Based Visa Interview Prep

author: ajabhish


value: nickalex

value:
Hi HN,
I'm testing a new approach to growth for solo founders and lean marketers.
*McClane* is a done-for-you lead research service that finds real buyer intent inside Facebook groups. I go through group conversations, extract patterns, predict realistic emails (without scraping), and deliver leads + messaging suggestions manually.
No dashboards. No learning curves. No scraping.
One early test gave me a 51% open rate from a group-based cold campaign and saved around $25K fot LAL optimizing. That gave me the push to offer this to others.
Would love your thoughts:
– Would this be useful in your work?
– Where would this break ethically or technically?
I'm currently validating interest and running early tests.
https://tally.so/r/npqEgB

value: Show HN: McClane – Done-for-you lead drops from Facebook group conversations

author: nickalex


value: abzgupta

value: this is a simple CRUD app that I built with supabase and bolt dot new. (I probably messed up somewhere)<p>inspired by: a "fitness" influencer spreading dangerous and false information on youtube. he had thumbnails of attractive women to lure in viewers, and if the viewers actually implement what he is doing, it could be seriously detrimental to their health.

value: Show HN: Tell the world why you unfollowed/muted a social media account

author: abzgupta


value: tadepada

value:
For the past few weeks, I've been working with Gemini on a concept for a new kind of AI architecture – one focused on creating a true AI partner, not just a tool. We've built a conceptual model (Model v2.1) that incorporates a prime directive, self-awareness of its limitations, creative problem-solving, and a learning loop.
The goal is to create the open-source "mind" for the next generation of humanoid robots and virtual beings.
We believe the biggest challenge in robotics isn't hardware, but a general-purpose AI brain. We've decided to tackle this head-on as an open-source project.
All the conceptual and technical documentation is now public. We are at day zero and looking for the first thinkers, architects, and developers to join us in shaping this.
Link to GitHub: https://github.com/tadepada/Nexus-Protocol
What are your thoughts on this approach?

value: Show HN: Nexus Protocol – An open-source OS for AI consciousness

author: tadepada


value:
Hey HN,
I'm Ari, I previously led AI at Asana and built databases at AWS.
We built Arka for startups who need insights from their data but don’t have the time (or team) to build out a full analytics stack.
Does this sound like you?
1. Your investors, customers, product, marketing, and ops are all asking for answers
2. Your data lives across Postgres, Stripe, Segment, maybe Databricks, even Slack
3. But your dashboards are out of date, writing the right query takes forever, and reporting is a mess
Arka is your entire data analytics stack in a box:
1. Connects to your databases and SaaS tools instantly
2. Auto-generates clean metrics from messy data
3. Lets anyone ask questions in plain English — no SQL or Python needed
4. Builds reports, schedules alerts, and automates insights
Think: Metabase + dbt + automated reporting, without staffing a full data team.
It’s still early, but Arka is already helping early adopters get up and running with analytics faster than anything they’ve used before.
We’re now onboarding a few more early adopters. If you're a startup, we’ll personally help you get set up: from connecting your tools to defining clean metrics and building out reports.
No cost during early access. Just bring your data, we’ll handle the rest.
Try it here: https://arka.so
Or drop a comment, super happy to jam your data pains!

value: Show HN: 1-click analytics for startups (https://arka.so)


value: poolpOrg

value: Show HN: Go-CDC-chunkers – A fast and memory-efficient CDC library in Golang

author: poolpOrg


value: meistertigran

value:
At my day job, we have a daily async stand-up. We have to message a slack bot how many hours we have worked on a given task that day and overall.
The format is:
> Task: "Task Name" | Worked: 5h Total: 16h
> Description: Finished implementation of feature.
I don't complain. Most fully remote jobs come with a version of this, but doing it manually got tedious. So, I needed a simple app that would track this.
I am not usually a fan of "vibe coded" apps, but this was an ideal candidate for it, since it's not production code. Most LLMs solve the problem by creating a single HTML file with forms that save data to localStorage. This was perfect for me - no hosting, no DB, no backend. Just 15 mins of prompting.
One day I was outside, just with my phone, and of course I couldn't use the app. I thought "how hard can it be to synchronize localStorage data across devices?". Turns out, it's not that hard, if you are ready to build a whole platform around it.
https://htmlsync.io does just that. You upload your HTML app that works with localStorage and get a subdomain for it. The tool automatically synchronizes your changes across devices. You can create private and public apps, can decide which keys to synchronize by using the "no_sync_" prefix. The "public-hidden" CSS class can be used to hide UI elements in public view. You also get a subdomain for your profile where all your apps are listed for easy access.
I hope you find this as useful as I did.
I'd also appreciate your feedback if you end up using it.

value: Show HN: I built a tool to sync localStorage between devices

author: meistertigran


value:
Ever been on a call with someone across the world and wished you could share a moment looking at the same physical thing? The Moon is the only object both of you can actually see together.
This tool uses real astronomical calculations to tell you when you and someone in another city can both see the Moon at the same moment. Perfect for long-distance relationships, late-night calls with friends abroad, or staying connected with family across time zones.
Try it now - London and Paris can both see the Moon tonight. Or test with any two cities worldwide. All calculations happen in your browser, so your shared moments stay private.
Link: https://togethermoon.com

value: Show HN: TogetherMoon – Share the night sky with someone miles away


value: dujma

value:
During my travels, I often encountered interesting places, while I had trouble finding information about them. The problem was with little-known attractions in smaller towns. In addition, information on the Internet often required translation or I didn't have time to search for articles on my phone to find out more. To improve travel, I developed an app - Vezeto that searches for tourist spots within 5 kilometers. It provides basic information and an AI agent answers questions. There is also a function to select a place on the map to search for tourist attractions.
App supports 11 languages.
Please share your feedback
Google Play: https://play.google.com/store/apps/details?id=com.vezeto.app

value: Show HN: Vezeto – Android app for travelers powered by AI

author: dujma


value:
I’ve always been looking for a solution to communicate larger technical systems faster. This includes a lot of known details and a technical de-risking plan. It is clear that LLMs need that structure and are capable of digesting it well.
I’ve built  MCP server for guiding the Cursor IDE through the plan that comes from the LLM assisted pipeline: PRD → TRD → Project files tree → Implementation Plan
1. The whole chain comes from one end-to-end solution
2. Codebase produced is easy to navigate by the automatically managed tracebility
3. Specification updates get reflected in tasks, so the flow is designed to support evolution
I use gemini-2.5-pro for requirements capturing and tasks management.
Cloud Code and Gemini CLI support is coming soon.

value: Show HN: Autopilot for Cursor IDE

title: Show HN: Autopilot for Cursor IDE


value:
Recently I was learning a bit about TLS. This involved lots of capturing network traffic with `tshark`, then opening up wireshark to import the dump and check fingerprints, so I made this small service for easily checking.
curl https://tlsinfo.me/json or visit from your browser. It returns the TLS fingerprint that your request presented, including: JA3, JA3_r (raw), JA4 and JA4_r (raw).
No auth, QUIC supported, rate limited at 10 req/10s/IP to protect the server (pls be nice). Could be handy for:
- Playing around and learning about TLS.
- Debugging.
- Investigating how different clients/software leave different
fingerprints.
- Adding one-liner fingerprint checks in tools or as part of an automation pipeline.
- Set up a reverse proxy or domain on cloudflare CNAME'd to tlsinfo.me and check their fingerprint.
Let me know if you find it useful. Reach out if you have any questions or ideas. Thanks.

value: Show HN: Tlsinfo.me – check your JA3/JA4 TLS fingerprints


value: Kehvinbehvin

value: Show HN: Turing Test Game with a fun twist

author: Kehvinbehvin


value:
I built a browser-only dream interpreter that maps symbols to meaning using a custom keyword engine. No AI, no tracking, no backend it’s all deterministic logic, built with vanilla JavaScript.
The idea was to see if emotional and symbolic interpretations could still feel personal without using machine learning. Dreams are parsed against a map of 300+ symbolic meanings.
Everything runs locally in your browser and saves via localStorage. You can revisit old dreams, reflect on interpretations, or just explore what the system sees in your subconscious.
Happy to answer questions, would love feedback!

value: Show HN: I built a dream interpreter in JavaScript, no AI, no server, just logic


value: nberkman

value:
I made clippy because pbcopy can't do something I needed every day: copy files to paste into GUI apps. When you pbcopy < image.png, you get raw bytes instead of a file that Slack or email can use.
Clippy fixes this:
- clippy report.pdf → ⌘V into any app uploads the file
- curl image.png | clippy → pipes become pasteable files
- clippy *.jpg → multiple files at once
- Text files still work like pbcopy
Technical: Direct Objective-C bindings via CGo. Copies file references (like Finder), not contents. Auto-cleans temp files. No AppleScript hacks.
Install: brew install neilberkman/clippy/clippy

value: Show HN: Clippy – a better pbcopy for macOS that handles files properly

author: nberkman


value: tuxxness

value: Show HN: KVM backup script with telegram notifications

author: tuxxness


value: iamdemetrius

value:
I made LaunchYourApp because getting early traffic and users to your app is difficult.
Submit in Minutes, Earn a Badge, and Get a DoFollow Backlink to Your AI App.
LaunchYourApp is a platform to promote your AI-powered app, helping you get early visibility and traction to start growing now!

value: Show HN: I made a launch platform for AI-powered apps

author: iamdemetrius


value: beaniez

value:
Vibe-coded this after realizing I had way too many random thoughts that could be solid tweets. Just paste your stream of consciousness and it spits out sharp, tweetable hot takes.
Supports OpenAI, Anthropic, and Google APIs. Your keys aren't stored anywhere.
Open source: https://github.com/Zoz24/hot-take-generator
Would love feedback!

value: Show HN: Hot Take Generator – Turn your thoughts into hot takes

author: beaniez


value: echaozh

value: I've used Deepseek to generate a page to generate win graphs for you. If you thirst for winning just like me, or like the one in the White House, you can use this tool to track your winning streaks. You can also tune the params to make a prettier one for yourself.

value: Show HN: The perfect win graph generator to track you winning streaks

author: echaozh


value: adrianschoenig

value: Show HN: Longplay comes to the Mac – developer's commentary

author: adrianschoenig


value: xiamidaxia

value: FlowGram is a node-based flow building engine that helps developers quickly create workflows in either fixed layout or free connection layout modes, providing a set of interactive best practices. It's particularly suitable for visual workflows with clear inputs and outputs.

value: Show HN: FlowGram.AI – AI Workflow Building Engine

author: xiamidaxia


value:
I built a comprehensive compensation calculator to help people make better informed career decisions. The tool calculates total compensation including stock value, vesting schedules, and allows comparison of multiple job offers.
Key features:
Total compensation analysis with stock valuation
Vesting timeline visualization
Package comparison across multiple offers
Scenario analysis for different stock growth rates
Early departure cost calculation
Why I built this: Job offers today are increasingly complex with base salary, bonuses, equity, and benefits all varying wildly. I found myself (and friends) struggling to compare offers apples-to-apples, especially when stock compensation and vesting schedules differed significantly.
Technical details: Built with .NET Core MVC, SQL Server backend, jQuery and Tailwind CSS. The calculator handles various vesting schedules and stock price projections to give realistic total compensation estimates.
The tool is part of a larger job transparency platform I'm working on, but the compensation calculator works as a standalone utility. I've tried to make it comprehensive enough to handle most modern compensation packages while keeping the interface clean and intuitive.
Would love feedback from the community, especially on edge cases I might have missed or additional scenarios that would be useful to model.

value: Show HN: Salary and Compensation Calculator


value: Fendy

value:
We're eager to hear your feedback. Thank you!!!
Using natural language to:
Create clusters and write data like a developer
 Scale up/down and monitor node status like an SRE
 Explore and query data like a data engineer

value: Show HN: MCP server, natural language as code, as infra

author: Fendy


value:
Hi all, I’m Inayat, a solo builder working without funding or a team.
I created CRISPRMind, a simple Python tool that lets you transform ideas like DNA. You start with a thought, apply edits—combine, reverse, personalize, reframe—and each step is recorded as memory.
It runs locally, no sign-ups or barriers. Think of it as a mirror for your mind’s journey.
I built it to share, not sell. If you're curious about how I made it, the technical stack, or its philosophy, I’m here and happy to discuss.
GitHub link above — please tell me what you see or feel.

value: Show HN: CRISPRMind – mutate ideas like DNA, track every step


value: shivanhupr

value: Show HN: I build a Airdrop alternative and people transferred 1000+ files

author: shivanhupr


value: Show HN: AI agents for real estate agents


value: Show HN: Created over Ten Free Image Processing Tools in Several Days


value: jorjordandan

value:
I designed a tiny collapsible laptop stand that fits in your pocket and weighs less than a AA battery. It props up the back of your MacBook (or most laptops with a rear lip), and also works as a phone/tablet stand. After dozens of prototypes, I landed on a form that prints fast, folds flat, and actually feels stable. Site is live at https://floatystand.com
Feedback welcome!
Also if you have a 3d printer, the files are available for free, just check the FAQs of the website.

value: Show HN: Floaty, a tiny portable stand designed for MacBook, phones and tablets

author: jorjordandan


value: artiomyak

value: Show HN: Roll a Dice

author: artiomyak

title: Show HN: Roll a Dice


value: curiouspradhyum

value:
Hi HN,
I’m a solo maker and small shop owner, and I built this over a weekend to speed up my workflow.
Most mockup tools felt either too limited or too complex (especially with Photoshop), so I built something simpler. You just place your design once on a mockup (kind of like “training” it), and then it auto-generates new mockups for future designs using the same layout.
Tech-wise: it's built with Next.js and uses Fabric.js for handling drag-and-drop design placement.
It’s free to use, and works well for wall art, apparel, digital prints, or any kind of flat product mockups.
Would love to hear your thoughts, suggestions, or questions!

value: Show HN: A free tool to auto-generate product mockups without Photoshop

author: curiouspradhyum


value: SamiCostox

value:
Hey HN,
I’ve been working on a side project called RapidChart for the past few months — a tool for generating technical/system design diagrams more easily.
Over the years, I’ve had to create countless diagrams for companies and personal projects. Every time, it’s the same story: fiddling with layout tools, dragging boxes, aligning arrows… It adds hours of work for something that should be fast and clear.
So I built RapidChart to speed things up.
How RapidChart works:
It’s completely free
It uses a cursor-like interface for diagram generation
It’s 100% customizable
You can iterate with AI and choose your favorite LLMs (GPT-4, Claude, etc.)
This originally started as part of my research project at Imperial College London, and I’d love some honest feedback.
If you think it’s terrible, please tell me why. If it’s useful or interesting, I’d love to hear that too!
https://www.rapidcharts.ai/
Thanks!

value: Show HN: Technical diagrams were slowing me down, so I built a faster way

author: SamiCostox


value:
A couple of months ago i was building mobile apps, but i struggled marketing them, then i tried tiktok and i saw that it pushed really hard this format called photos which are just images with text on them and a lot of apps had success using them to drive downloads and revenue so i started and had similar success!
But after you create a couple of these slideshows it becomes repetitive and tiring that's why i built AutoSlides it creates these type of slideshows in seconds and also you can use an already existing slideshow for the narrative and writing style and layout just paste the link!
Check it out: autoslides.pro

value: Show HN: AutoSlides- Automated TikTok Marketing for B2C Apps


value:
Just released my open-source project: Log Manager
 Real-time log viewer for remote servers via SSH — all in your browser.
As a full-stack dev, I often needed a way to tail logs across different servers without jumping into the terminal every time. So I built this tool.
Features:
Add multiple remote servers
Define custom log file paths
Stream logs live (tail -f) via WebSocket
User authentication & secure access
Simple React-based UI
GitHub: https://github.com/bodyast/logManager
Perfect for:
Self-hosted projects
DevOps monitoring
Lightweight log dashboards
Built with love in Ukraine.
 If you find it useful, consider supporting the project:
Monobank 4441 1111 2600 6190

value: Show HN: Log Manager – Real-time log viewer over SSH


value:
Ever wondered whether an image you see on the web was actually created by the person who posted it?
We built a tool that lets you prove your content is authentic, and it runs right in your browser. No blockchain or complex security systems needed - just QR codes linked to your social accounts.
By doing all the work in your browser instead of our servers, we keep your data private and our costs low. That's why we can offer it for free to everyone.
The QR codes work like old-fashioned wax seals - they show when something's been tampered with. If someone changes the content, the seal breaks automatically.
Try it at seal.codes – we'd love your feedback on this simple approach to digital trust.

value: Show HN: Seal.codes – Verify content authenticity right in the browser


value: combineimages

value: Show HN: I Made a Simple Tool to Get English IPA Pronunciation Fast

author: combineimages


value: ShinMatsura

value:
I run Best AI Tool Finder (https://bestaitoolfinder.com), where my mission is to help everyone navigate the rapidly expanding world of AI tools. With new platforms and products emerging daily, we've curated and reviewed over 10,000 tools from Product Hunt and leading sources worldwide. Our database is rigorously filtered—both by AI and hands-on review—to feature only the best, most innovative, and highest-rated AI products.
What makes this project different? Over 1,600 trend and review articles are updated continuously, with 100+ deeply researched industry reports for professionals and beginners. An automated AI pipeline ensures 95% of content is fact-checked and copyright/hallucination-screened before my final human edit. Transparency matters to us: if you notice a missing or misclassified tool, or any mistakes, just let me know and I’ll update it right away.
We aim to provide the most trustworthy, independent guide for makers, researchers, and everyone interested in the future of AI tech—especially as search itself becomes AI-driven. Thanks for your feedback and support!

value: Show HN: Best AI Tool Finder

author: ShinMatsura

title: Show HN: Best AI Tool Finder


value: mandarwagh

value:
A comprehensive Flask-based WhatsApp chatbot specifically designed for farmers and agricultural communities. The bot integrates with Google's Gemini AI to provide intelligent agricultural advice, crop disease identification, market information, and government scheme details. Built with conversation memory and multilingual support to serve farmers effectively.<p>Features
 Agricultural Intelligence: Specialized AI responses for farming queries, crop management, and agricultural best practices
 Crop Disease Detection: Image analysis for plant disease identification and treatment recommendations
 Market Price Information: Real-time crop price data and market trends
 Government Schemes: Information about agricultural subsidies, schemes, and farmer benefits
 Voice Message Support: Audio message processing with automatic transcription
 Multilingual Support: Translation services for regional language support
 Knowledge Base: Comprehensive agricultural knowledge database
 Conversation Memory: Maintains chat history for personalized farming advice
 WhatsApp Integration: Seamless integration with WhatsApp Business API
 Secure Communication: HMAC signature verification for secure webhooks
 Response Validation: Quality assurance for AI-generated agricultural advice

value: Show HN: KisanAI – WhatsApp Agricultural Assistant

author: mandarwagh


value: TrianguloY

value: Show HN: Android SDK easter egg showcase

author: TrianguloY


value: FerkiHN

value:
I recently built a project called PIT (Phono In Terminal) — a terminal image viewer written in C that renders .png/.jpg images using actual RGB colors in your terminal (with optional 256-color fallback). What makes it different?
Zero dependencies (just stb_image.h)
Works even on very old or embedded systems
Fully cross-platform (Linux, macOS, WSL, Windows Terminal, Termux, etc.)
Compiles down to ~250 KB
CLI options for zoom, flip, resize, offset, background fill, and more
Doesn’t require X11, SDL, or curses
Here's a screenshot from Termux showing Tux inside a text-mode terminal (demoed using ANSI blocks and real RGB shading): (HN doesn't support images, but you can try it yourself from the repo)
Comparison with tiv: tiv is an excellent and mature tool (C++ + ImageMagick), optimized for Unicode and quality. PIT, on the other hand, is hyper-minimal — no dependencies, fully embeddable, and runs even in initramfs or micro distros.
GitHub: https://github.com/Ferki-git-creator/phono-in-terminal-image-viewer-rgb-c-textmode
Would love to hear your feedback or ideas!
I don't want to be greedy, but please, if you can, support me by putting a star on the repository, you will help me develop the project. :)

value: Show HN: I Recently Built a Project

author: FerkiHN

title: Show HN: I Recently Built a Project


value:
Hey HN folks,
Last week I released the first public version of 120 HN — a fully native Hacker News client for macOS. This week, I'm excited to share version 0.2.1 with some essential updates:
The app now remembers window size, position, and sidebar state between sessions
Improved AI summaries: more concise, relevant with link back to the comments, easier to read with short paragraph form.
Minor tweaks to navigation and layout for a smoother experience
Sneak peek: local LLM support is coming in the next release.
As always, the app is free to use. Any suggestions or comments would be appreciated.
Thanks for checking it out.

value: Show HN: HN v0.2.1 – Native macOS app for reading HN


value:
I built DataRamen, a local-first SQL explorer that helps you get the data you need fast, without writing repetitive queries every time.
You run it locally from the CLI (no cloud version yet), connect your databases, and you're ready to go. The goal is to let you explore and query data like you would in a spreadsheet: intuitive, fast, and without friction.
Key features:
- Automatic joins & related data navigation: Right-click any row to instantly see related records in other tables (based on foreign keys or references).
- Keyboard-driven UI: Hit N to jump to a table, F to filter, and so on, it’s optimized for speed so you can go from question to insight in seconds (this point is still in progress, I find it confortable, but the goal is to make it even better).
- Named tabs with saved queries: Keep multiple tabs open with different queries, useful for comparing or cross-checking data. Tabs are saved, so you can get back to your queries at any time.
- Instant edit & insert: One click to edit or add rows, no need to write full queries.
- Multi-DB support: Connect several databases and search across all of them.
- Search across all columns: Find what you need even if you don't know the exact column.
If you've ever felt slowed down by writing the same SQL over and over just to explore your data, this might save you a ton of time. I’d love feedback or suggestions, especially from folks who wrangle data often.
Find more information on https://dataramen.xyz
PS. don't be harsh on the logo, I did my best :)

value: Show HN: DataRamen, a Fast SQL Explorer with Automatic Joins and Data Navigation


value: stagas

value: Show HN: Infinite Canvas for Notes

author: stagas

title: Show HN: Infinite Canvas for Notes


value: maximcus

value:
This is a small personal project (completely free). The idea is that you practice typing on the real text you want to read.
Please give it a try and comment if you have any feedback for me (good or bad).
If you like it and want to see the development continue consider rating it on the chrome store as well. The more users it will have the more likely I am to invest more time into it.

value: Show HN: Created a Chrome extension to practice typing on any website

author: maximcus


value: AzharKhann

value:
I've been self-learning from YouTube for years—everything from coding to design to business skills. But I kept hitting the same wall: YouTube learning has no structure. Your knowledge gets scattered across random playlists, you're passively consuming content without real retention, and when you're confused, there's nobody to ask.
I built Notetube to fix this by layering organizational tools with AI to create a proper learning system:
Organizational layer: Build structured collections by topic/course/skill, visualize your learning progress with dashboards, create and track your learning goals
AI layer: Automatically generates detailed notes (3000+ words for 1 hour of content) and summaries, identifies key moments with timestamps, creates personalized quizzes for retention testing, and provides a chat interface for instant help when concepts aren't clear
...plus additional features like timestamped note-taking, but I'll keep this brief.
Quick signup via Google OAuth for a smooth onboarding experience.
Try it free: https://www.notetubeai.com/
Would love your thoughts and feedback from the HN community!

value: Show HN: I built a complete AI learning system for YouTube

author: AzharKhann


value: cranberryturkey

value:
Developers, builders, and code enthusiasts—I'm excited to announce the launch of a new subreddit: r/codeforcrypto!
This community is designed specifically for software engineers, developers, and coders who prefer to get paid in crypto. Whether you're building crypto-specific projects, open-source tools, websites, mobile apps, AI-driven services, or just solving interesting technical challenges—this is your place.
We welcome projects of all types—not just blockchain-related. The key idea: connecting coders who believe in the power of cryptocurrency and want to earn or pay in crypto for their work.
If you've ever thought about freelancing or hiring talent using Bitcoin, Ethereum, or other digital currencies, come join us. Share your latest creations, collaborate on exciting new ventures, find your next gig, or just discuss ideas with like-minded developers.
Let's foster a vibrant, open community that empowers devs to truly own the value of their work, without relying on traditional payment systems.
Check it out, join today, and let's build something incredible together:
 https://reddit.com/r/codeforcrypto

value: Show HN: R/Codeforcrypto

author: cranberryturkey

title: Show HN: R/Codeforcrypto


value:
Infersync is an HR and team management tool that helps async teams stay in sync without meetings.
It connects to Plane.so, pulls in your tasks, and lets teammates clock in on what they are working on. No check-ins, no chasing, simple and clear.
The core features includes attendance management, leave and break tracking, admin dashboard, basic reports, org chart, custom roles, and a recognition system.
Demo:
https://demo.infersync.com
Video:
https://youtu.be/9H5CPt1s8P8
More:
https://infersync.com

value: Show HN: Infersync – Clock in on Tasks from Project Tools


value: gilfeather

value:
*Furnace* is a high‑performance ML inference server written in pure Rust, powered by the Burn framework.
* Key Features*
- Zero Python runtime — everything runs as a single Rust binary (~2.3 MB)
- Sub‑millisecond inference time (~0.5 ms on MNIST‑like models)
- REST HTTP API: `/predict`, `/healthz`, `/model/info`
- Production‑ready: graceful shutdown, error handling, CORS support
* Quick Start*
```bash
git clone https://github.com/Gilfeather/furnace.git
cd furnace
cargo build --release
./target/release/furnace --model-path ./sample_model --port 3000
# Health check
curl http://localhost:3000/healthz
# Model info
curl http://localhost:3000/model/info
# Inference
curl -X POST http://localhost:3000/predict \
  -H "Content-Type: application/json" \
  -d '{"input":[0.1,...,0.1]}'

value: Show HN: Furnace – Rust and Burn inference server, zero Python, single binary

author: gilfeather


value: blaget

value:
We built Memno. We like to think of Memno as an AI chief of staff.
Every photo, document, and voice note you share becomes searchable memory. Ask "What did we decide about Q4?" and it pulls from all your sources. Can also make calls and send texts on your behalf (with approval!)
Each user gets their own isolated environment with dedicated vector database, metadata storage, and object storage instances.
Some highlights:
- Complete data isolation per user (no shared databases), encrypted at rest
- Sub-50ms vector search
- Document processing pipeline for OCR/transcription/object recognition/summarization/etc. before vectorization.
- Distributed AI calls (no provider sees everything)

value: Show HN: Memno – AI with persistent memory that runs in an isolated environment

author: blaget


value: Croffasia

value:
I built this after getting frustrated with AI assistants generating code chaotically without project context.
MCP Project Manager integrates with Claude, Cursor, VS Code + Copilot via Model Context Protocol to give AI assistants structured understanding of your project hierarchy (Ideas → Epics → Tasks).
Key features:
- AI-powered task decomposition with approval workflow
- Natural language interface - no new commands to learn
- Works with any MCP-compatible tool
- SQLite storage, zero external dependencies
- Interactive CLI dashboard for project visualization
Ready to use: `npx mcp-project-manager`
The AI gains project context automatically while you work in familiar natural language. Instead of random code generation, it understands what you're building and helps break down complex features into manageable tasks.
Built with TypeScript, uses MCP SDK 1.15.1. Stores everything locally in SQLite.

value: Show HN: MCP Project Manager – Hierarchical task management for AI assistants

author: Croffasia


value: cylinderthought

value: Please roast

value: Show HN: Context Engineering Job Board

author: cylinderthought

story_text: Please roast

title: Show HN: Context Engineering Job Board


value:
I built an Open Source CLI that lets you ask your Git commit history using natural language.
E.g ask the repo
•“When was login added?”
 •“What changed in the auth flow?”
It uses embeddings for the commit messages using configurable models (HF or OpenAI), stores them in ChromaDB, and queries them semantically with GPT via LangChain.
Features:
• Fast local search (local storage)
• Natural language query interface
• Simple Typer-based CLI with commands to list and manage embeddings
Ideal for developers who want a smarter way to explore version history.
Feedback & Contribution Requested and Welcomed.

value: Show HN: Git Blame Made Interactive – Ask Your Git Repo Who Did What and When


value: itzlambda

value:
Hey HN!
I keep hitting this moment: "I definitely starred a repo that does X … but what was it called?". Finding the exact repository manually is very annoying if you have alot of stars especially since github star search interface is not very good.
Which is why I made this tool. It uses vector embeddings to allow you to search through your github stars using natural language. Backend for initial version was written (vibe coded) in python. I recently rewrote the backend in Rust because I was not confident about the vibe coded implementation.
There is a toggle to enable "Global search", which searches through all the indexed repositories (not only your stars). This might help you find new repositories that you haven’t starred yet.
Hope you find it useful.
Github: https://github.com/itzlambda/starscout
Showcase thread: https://x.com/itzlambda/status/1904878939073294825

value: Show HN: starscout – search through your GitHub stars using natural language

author: itzlambda


value: buildnothing

value:
It started as an idea for the bolt.new hackathon, and today I’m excited to share The Mindloom — a production-ready mental wellness platform, built with care, design, and empathy.
An AI-powered Mindful Companion
 Guided journaling with mood tracking
 Daily emotional check-ins
 Insightful patterns for self-awareness
 A growing library of evidence-based resources
Built with a modern stack, but more importantly — built with intention. No more waiting for appointments. No fear of judgment. Just support when you need it.
Try it out → https://themindloom.app
Would love your thoughts, feedback, or just a share if you believe in the mission.
P.S. I am already working on more features like realtime guided meditations using Elevenlabs.

value: Show HN: The Mindloom, from Idea to a Reality

author: buildnothing


value: Smart, local-first clipboard manager that supports queries like: "flight ticket details from whatsapp" to search through your clipboard history.

value: Show HN: CopyMagic – Search your clipboard like it's Google


value: graerg

value:
I built a platform that lets businesses incentivize online discussion via bounties. Instead of ads, businesses post bounties for specific content and metrics they want to see borne out (e.g., an engaging Reddit comment that mentioning my business and has at least 100 upvotes). Then, the denizens of the internet rise to the challenge and redeem the bounty for a reward.
To demonstrate how it works, I'm putting my money where my mouth is. This post links to $100 in bounties ($10 each) for posting an engaging comment on this thread. Limit one bounty per person (and per comment).
I modeled the full bounty lifecycle with Temporal workflows, so they're completely durable. Bounty fulfillment (i.e., content verification) is done with """AI""", and payouts are done with USDC on Solana so they're really fast. Happy to discuss this more in the comments.
For more info, check out incentivizethis.com; there's a one-minute demo video on the landing page that shows the gist. There's also a longer (5 minute) onboarding video here which should show you how to get up and running as a bounty hunter: https://finicky-elephant.clueso.site/share/aef8d2a6-b07b-440....
Finally, if you think it's neat and want to be kept in the loop, make sure you join the Discord; that's where I'll be coordinating with bounty hunters as I roll out more capabilities. Here's the link if you missed it: https://discord.gg/uvzgf6r2.

value: Show HN: I'm giving away $100 on IncentivizeThis

author: graerg


value: spstoyanov

value:
The other day I was thinking about the future of programming and how our workflows change with AI and I started wondering what would an AI-native programming language look like.
So I got this idea - what if we can just write function / class definitions and let AI generate the actual code for us. One thing led to another and after a fun weekend I got something working.
I made a simple python decorator that uses a function definition to generate the function code. It works for async functions and class methods, and it caches the generated code locally. There are some fun use cases like AI-generated fastAPI endpoints and agent tools.
I also realized that this approach somewhat incentivizes test-driven development because if you write the tests ahead of time you don’t only make sure that the code works but it is generated and cached before the actual program runs.
I haven’t had enough time to do a proper comparison but I wonder if this test-driven approach produces better code vs traditional vibe-coding.
I would love to hear your thoughts.
Cheers!

value: Show HN: YOLO – metaprograming AI decorator generating function code from stubs

author: spstoyanov


value: Nikitaita

value:
Hey HN,
I built Scroll, a minimal read-later app that lets you save articles offline, organize them cleanly, and even read them with a native TTS engine.
I was frustrated with bloated apps like Pocket and Instapaper, so I made something focused purely on distraction-free reading.
Would love feedback from the HN crowd—especially around UX, performance, and any must-have features I missed.
App Store: https://apps.apple.com/de/app/scroll-read-later/id6748611211

value: Show HN: Scroll – read later app that works offline and doesn't get in your way

author: Nikitaita


value: oyahud

value: Show HN: Open-Source Form Builder

author: oyahud

title: Show HN: Open-Source Form Builder


value: ignatiusmb

value:
i built a minimal web app that generates a complete favicon set from a single SVG.
it runs entirely in the browser, has no third-party dependencies (not even the web framework itself), and is fully self-contained in a single downloadable HTML file.
site: https://favicon.mauss.dev
article: https://mauss.dev/posts/svg-to-favicon
source: https://github.com/ignatiusmb/mauss.dev/tree/master/workspac...
the article link is a technical deep dive that i wrote, mostly to document what i learned, but also to make sure i don't forget the experience itself.
i've been using it locally for a couple of weeks, and finally polished it enough to deploy it. there are more features i could add (like cropping non-square SVGs or compressing PNGs), but i wanted to release it before it joins the mountain of unfinished and unreleased side projects at the corner of the room.
feedback or suggestions are very much welcome. a bug report straight on the GitHub repo is also appreciated.

value: Show HN: Minimal SVG to Favicon Generator

author: ignatiusmb


value:
Hi HN! I am James, author of MetaMCP and we recently rewritten MetaMCP 2.0 and invite you to test the new app. It is open source and MIT licensed.
How it works
- Group MCP servers into namespaces
- Expose them as unified meta-MCP endpoints (with SSE or SHTTP in MCP or openapi.json to use in Open Web UI etc.)
- Plug in middlewares: widely used one is to filtered out unused tools. More to come soon like loggings, human-in-the-loop, guardrails, you can also leave github issues to discuss
- Pre-built docker image to quickly setup
Things you might find interesting:
- We pre-warm idle sessions to reduce cold start latency
- You can debug via a built-in MCP inspector
- You can even run multiple MetaMCPs inside a MetaMCP (yes, we tried )
A quick demo video: https://youtu.be/Cf6jVd2saAs
GitHub repo: https://github.com/metatool-ai/metamcp
Docker image: ghcr.io/metatool-ai/metamcp:latest
Would love to hear your feedbacks or feature requests, thanks!

value: Show HN: MetaMCP – Open-Source MCP Aggregator, Middleware, Gateway in One Docker


value: yukinarit

value: Show HN: Tanu – High-performance WebAPI testing framework for Rust

author: yukinarit


value: ErkanCevher

value: We developed an AI-driven program for data reports. I have seen the problem with founders, analysts and directors not having the control over their own data. They either waited too long for data reports from their team or struggled with complex coding. We wanted to fix this by creating a tool that works in seconds and requires no coding. The users can upload their data (Excel, CSV, MySQL files etc) and they can ask any question they want in a natural language. They will get interactive dashboards with changeable colors, sizes, type of charts etc. Please leave your feedback if you try it out, thanks in advance.

value: Show HN: Dashport.ai – AI-Powered BI Tool for Professional Dashboards

author: ErkanCevher


value: devfamdk

value:
Let’s be honest: building a real PWA in Next.js still sucks.
But when you actually need solid offline support, proper cache control, and version updates that don’t leave users stuck with stale data — suddenly you're deep in custom service worker hell, fighting App Router quirks and rewriting logic for the hundredth time.
So we open-sourced next-pwa-pack, a package that wraps all the annoying parts of adding PWA functionality to a Next.js project into something that's finally tolerable.
We do a lot of client work with Next.js, and “can you make it work offline?” comes up more often than you'd think. Every time, it was a mess — building service workers from scratch, wiring up caching strategies, dealing with versioning bugs across tabs, users getting stale content after deployments, etc.
Existing libraries either didn’t support the App Router well or came with so much config overhead that you might as well write your own service worker. So, we did — once — and turned it into a package.
next-pwa-pack wires up a service worker with sane defaults: it caches HTML and static assets, supports offline fallback, and comes with a messaging system to control the cache from your app. No extra config required.
It also handles cache invalidation across browser tabs. That one was tricky — we ended up using localStorage + storage events to broadcast update signals, which has been working well for SPAs.
To use it, you just wrap your app in the provided PWAProvider. It handles service worker registration, sets up messaging, and optionally gives you a dev panel during local development to observe or trigger cache behavior manually.
import { PWAProvider } from "next-pwa-pack";
export default function layout({ children }) {
  return <PWAProvider>{children}</PWAProvider>;
}
And that’s pretty much it. The service worker kicks in, and you’re immediately getting basic offline support, background caching, and version-aware updates.
When the package is installed, it copies over a default sw.js, manifest.json, and offline.html into your public/ directory (if they don’t exist). These are all editable, of course — but they give you a working baseline.
The service worker handles two types of caching:
HTML pages, with a default TTL of 10 minutes (configurable in sw.js).
There's a built-in messaging protocol using postMessage() so the client can ask the SW to update or clear specific caches. You can call things like updateSWCache(['/dashboard']) after a mutation or form submission, or use clearAllCache() after logout.
We also expose a hook (usePWAStatus) for checking things like whether a new version is available, if the service worker is installed, etc. Useful for adding those “update available” banners you see in real-world PWAs.
During dev, enabling devMode in the provider shows a small status widget in the corner that tells you whether the app is online, whether cache is being used, and gives you buttons to clear or disable it. It’s surprisingly helpful.
It only works over HTTPS (as required by the PWA spec), and it only caches GET requests — no API posts or sensitive data. TTLs and exclusions have to be edited in the service worker for now, though we plan to make that configurable via external JSON in the next version.
Also worth noting: if you’re using Incremental Static Regeneration (ISR), this doesn’t yet have direct support — though we’re exploring integration paths there too.
We built this to scratch our own itch, but it’s working well enough that we figured it might be useful to others. No weird magic. Just a working service worker with a nice DX.
Code: https://github.com/dev-family/next-pwa-pack
Feedback welcome, and happy to answer questions or hear horror stories about your own PWA setup!

value: Show HN: Drop-In PWA Support for Next.js with next-PWA-pack

author: devfamdk


value:
Hello HN,
I'm Ghita, co-founder of ZeroEntropy (YC W25). We build high accuracy search infrastructure for RAG and AI Agents.
We just released two new state-of-the-art rerankers zerank-1, and zerank-1-small. One of them is fully open-source under Apache 2.0.
We trained those models using a novel Elo score inspired pipeline which we describe in detail in the blog attached. In a nutshell, here is an outline of the training steps:
* Collect soft preferences between pairs of documents using an ensemble of LLMs.
* Fit an ELO-style rating system (Bradley-Terry) to turn pairwise comparisons into absolute per-document scores.
* Normalize relevance scores across queries using a bias correction step, modeled using cross-query comparisons and solved with MLE.
You can try the models either through our API (https://docs.zeroentropy.dev/models), or via HuggingFace (https://huggingface.co/zeroentropy/zerank-1-small).
We would love this community's feedback on the models, and the training approach. A full technical report is also going to be released soon.
Thank you!

value: Show HN: Improving search ranking with chess Elo scores


value: martianmanhunt

value: I made this app which tests your vocabulary. You have to name a word for every letter of the current word, and the last word becomes your new word. It's in beta. Looking for feedback!

value: Show HN: Fast word game to test your vocab and speed

author: martianmanhunt


value:
Hi HN,
I’ve been working on an experimental AGI-like logic simulator using nothing but *pen, paper, and a structured table system*.
*What it does*:
- Simulates logical relationships between concepts using a grid-based structure
- Works like a hand-written neural net or rule-based system
- Learns from user feedback (like reinforcement learning) by adjusting weights
- Automatically generates reasoning paths and simulates calculation flows
*Why it’s interesting*:
- No API, no GPU, no software required
- Every reasoning step is transparent and explainable
- You can literally *see the logic flow on paper*, like tracing neurons
*Use cases*:
- Engineering problem solving (like mechanics or materials)
- Simulating how humans think in step-by-step logic
- Could evolve into a domain-specific expert system or educational simulator
Here’s a photo of the current prototype:
-> https://i.postimg.cc/4y0hB5rc/image.png
---
I’m curious if anyone here has tried similar “analog AGI” experiments — or sees potential use cases I’ve missed.
Happy to answer any questions or share more detail. Thanks!

value: Show HN: I built a logic AI simulator with pen, paper, and no code


value: bmf-san

value:
Hi HN,
I built ggc (https://github.com/bmf-san/ggc), a terminal-based Git CLI tool written in Go.
ggc provides:
- A fast interactive UI (like `fzf`) for common Git operations
- Traditional subcommands (e.g. `ggc add`, `ggc commit`)
- Git-compatible config support (`ggc config` reads from `git
config`)<p>- Built-in aliases and workflow automation (e.g. `ggc addcommitpush`)
The goal is to improve developer productivity by combining interactive workflows with scriptable CLI operations.
It's still under active development, but I'd love feedback from the community!
GitHub: https://github.com/bmf-san/ggc
Demo GIF: https://github.com/bmf-san/ggc#demo
Thanks!

value: Show HN: ggc – A terminal-based Git CLI written in Go

author: bmf-san


value:
Hi, I am an intern working for a town council election campaign.
Our democracy thrives on robust civic engagement, yet too often, public discourse becomes mired in ideological battles rather than focusing on solutions that truly benefit the community. Our candidate’s core message is that local issues must be approached non-partisanly: we need to put people over politics.
This approach aligns with the very essence of active citizenry. As civic leader Baratunde Thurston compellingly argues, to ‘citizen’ means to:
-   Participate:  Show up for each other and publicly participate in ways that include and go beyond voting.
-   Invest in Relationships:  Deepen relationships with ourselves, our community, and our planet and experience how we are all interconnected.
-   Understand Power:  Be fluent in power, and the various ways we can use it for our collective benefit.
-   Value the Collective:  Work towards outcomes that benefit the many – not just the few.
Inspired by the collaborative spirit of open-source development, and drawing on my background as a developer, we believe platforms like GitHub can be powerful tools for fostering this kind of inclusive civic engagement. The open-source model has proven remarkably effective in building communities and ensuring transparency, and we are exploring how to apply these principles to local governance.
To kickstart this initiative, we are developing a wiki and a discussion forum within this framework. Our vision is for this platform to serve as a central, accessible repository where all policy-related discussions, ideas, and proposals can be shared and developed collaboratively.
Share your thoughts!

value: Show HN: GitHub for Politicians

title: Show HN: GitHub for Politicians


value: NeelDas

value:
In my 15+ years as a developer, one of the most annoying things I've consistently faced is outdated documentation. I am also not a saint either, I skip updating docs myself. So I started working on tools to make maintaining docs a bit easier for developers like us.
There have been many attempts to solve the problem of continuous documentation. Tools like Swagger or Sphinx-autodoc can generate docs from OpenAPI specs or code annotations, but they only work in very narrow settings. They don't help much with higher-level docs like user guides, quickstarts, or example scripts. And they still rely on developers to manually maintain intermediate elements like docstrings.
With LLMs, updating high-level docs has gotten easier. You can prompt your AI IDE (e.g. Cursor) to update docs, and it usually works. But this approach has a few issues:
- You have to remember to prompt after every code change.
- You don't know exactly which files are being used in context—either you specify them manually or trust the agent.
- If teammates start updating docs separately in their own AI IDEs, things get messy fast.
- [Minor] The updated docs often lose the structure or style of the original unless you're really careful with your prompts.
So I wanted something that would keep code and docs in sync automatically, with minimal human effort. So I built DeepDocs, an LLM-powered GitHub app for continuous documentation.
Once installed and configured, DeepDocs listens for code commits, detects relevant doc drift, and proactively opens a clean branch with suggested updates. Because it runs upstream, it only triggers after all necessary code changes are merged.
It keeps updates to the absolute necessary and respects the original formatting and structure. You don't need to prompt it or manually specify any file context, as DeepDocs always keeps the source code and docs in context.
The app is completely free to try on GitHub. I'd really appreciate any feedback or suggestions.

value: Show HN: I built a GitHub AI app to automate the fixing of outdated docs

author: NeelDas


value: serverlessmania

value:
Hi HN,
I’ve built SynthGenie, an AI-powered agent that connects to your hardware synthesizer via USB MIDI and lets you design sounds using natural language.
You can type prompts like:
- “Give me a warm analog bass like in Stranger Things”
- “Make a shimmering pad for ambient music”
- “I want a plucky arp with filter movement.”
SynthGenie understands the request and sends the appropriate MIDI CC or SysEx messages to control your synth in real-time. It supports the FM synth Digitone 2 and Moog Subsequent 37 for now, and I’m adding more based on user demand.
Project is open source -> https://github.com/zerubeus/synthgenie
MCP version of this -> https://github.com/zerubeus/elektron-mcp
Discord -> https://discord.gg/ZFuSuegBMS

value: Show HN: SynthGenie – Natural Language to Sound Design for Hardware Synths

author: serverlessmania


value: lumbroso

value:
This is an open‑source Model Context Protocol (MCP) server that gives any LLM a sense of the passage of time.
Most MCP demos wire LLMs to external data stores. That’s useful, but MCP is also a chance to give models perception — extra senses beyond the prompt text.
Six functions (`current_datetime`, `time_difference`, `timestamp_context`, etc.) give Claude/GPT real temporal awareness: It can spot pauses, reason about rhythms, and even label a chat’s “three‑act structure”. Runs locally in <60 s (Python) or via a hosted demo.
If time works, what else could we surface? - Location / movement (GPS, speed, “I’m on a train”) - Weather (rainy evening vs clear morning) - Device state (battery low, poor bandwidth) - Ambient modality (user is dictating on mobile vs typing at desk) - Calendar context (meeting starts in 5 min) - Biometric cues (heart‑rate spikes while coding)
Curious what other signals people think would unlock better collaboration.
Full back story: https://medium.com/@jeremie.lumbroso/teaching-ai-the-signifi...
Happy to discuss MCP patterns, tool discovery, or future “senses”. Feedback and PRs welcome!

value: Show HN: An MCP server that gives LLMs temporal awareness and time calculation

author: lumbroso


value: snowcon

value:
Hi HN,
I’m the founder of Newsplash, a lightweight AI-powered news platform that delivers personalized, fact-based daily digests—no clickbait, no paywalled fluff.
⸻
Why I built it:
I found myself spending too much time sifting through sensationalist headlines and repetitive stories across major aggregators. Newsplash is my attempt to solve that: a tool that gives users a fast, trustworthy summary of the news that matters most to them—without the noise.
⸻
How it works:
 • ~500 articles pulled daily via NewsAPI
 • Deduplicated and cleaned with a readability parser
 • Summarized using GPT-4o (≈90–120 tokens per article)
 • Each user gets a unique daily digest based on topic preferences and feedback (likes/dislikes)
 • A built-in GPT chat tool allows users to ask contextual questions like: “Why does this matter for Nvidia’s stock?”
⸻
Stack overview:
 • Edge Functions: Deno (Supabase) for fetch, deduplication, and summarization
 • Database: Supabase Postgres for articles, preferences, digests
 • Frontend: React + Next.js (web), React Native + Expo (iOS)
 • AI: GPT-4o mini for summarization + article Q&A
 • Reranking: Simple cosine similarity on user feedback vectors
⸻
What’s live:
 • Web app with personalized digests
 • Feedback loop (like/dislike) that re-trains per user
 • Article-level AI Q&A
 • Free model
⸻
Next up:
 • Expanding digest customization (custom categories, source filters, articles per category)
 • Premium/ subscription product
⸻
I’d love your thoughts on:
 • Privacy/security best practices around everything. I don’t have a coding background so I have no idea
 • Ideas for building trust and transparency into AI summarization
Thanks for checking it out
— Connor

value: Show HN: Newsplash – Personalized AI news digests without clickbait

author: snowcon


value: Show HN: Zu - A minimalist key-value database engine for modern applications


value:
Hi everyone!
I’m excited to share an update on OS Yamato — a gentle, poetic digital OS inspired by wabi-sabi philosophy.
OS Yamato is designed as a minimal "digital garden" where data blooms and fades away if untouched (auto-deletes after 365 days). No ads, no clutter — just ephemeral, meaningful interactions.
New updates:
- AI-powered ad-free search and in-app assistant
- Chinese localization (more languages coming soon)
- Ongoing UI and animation improvements
Tech stack:
- Frontend: Vue 3 + Vite
- Backend: AWS Amplify (Cognito, AppSync, DynamoDB, S3)
Try it live: https://hanaco875.com
 Code on GitHub: https://github.com/osyamato/os-yamato
▶ Introduction video: https://www.youtube.com/watch?v=JrqwU_N5WBA
I’m continuously polishing and adding features to make the experience even more gentle and expressive.
Feedback and thoughts are always welcome. Thanks for reading!

value: Show HN: OS Yamato – A Gentle OS, Now with AI and Chinese


value: tornikeo

value:
I made a GPU-accelerated tool for mass spectra search.
A mass spectrum is like a fingerprint for a molecule. It can be used to identify toxins, explosives, drugs, and more in urine, blood, and food. Organisms are made up of a mind-boggling number of different molecules. When screening a fluid for various molecules, you often need to perform up to 10^12 parallel comparisons.
I ported the comparison algorithm (a modified cosine similarity) to run on a GPU. On one of the latest GPUs, the H100, SimMS achieves a 1700x speedup compared to MatchMS.

value: Show HN: SimMS – GPU accelerated mass spectra search

author: tornikeo


value:
Ever wondered whether an image you see on the web was actually created by the person who posted it?
We built a tool that lets you prove your content is authentic, and it runs right in your browser. No blockchain or complex security systems needed - just QR codes linked to your social accounts.
By doing all the work in your browser instead of our servers, we keep your data private and our costs low. That's why we can offer it for free to everyone.
The QR codes work like old-fashioned wax seals - they show when something's been tampered with. If someone changes the content, the seal breaks automatically.
Try it at seal.codes – we'd love your feedback on this simple approach to digital trust.

value: Show HN: Seal.codes – Verify content authenticity right in the browser


value: treesciencebot

value: Show HN: Open-source image restylization canvas

author: treesciencebot


value: habosa

value:
Hey HN,
Every team I've been on has cobbled together some sort of combination of GitHub branch protections and custom scripts to make sure that PRs conform to organization policies and best practices.
Things like:
- When {X} file is changed, require review from team {Y}
- When a new db migration is added, ensure that a special set of tests pass
- Require multiple approvals when the PR is very large
- Add a special label to PRs that include breaking changes
- Allow emergencies / hotfixes to break glass and bypass all of the above
Most teams tend to start out with a little script running in GitHub actions to enforce all of these policies but it tends to get out of hand and become hard to maintain. PRs that should require scrutiny slip through the cracks, and others that should be allowed through are unnecessarily blocked.
That's why I made GitGuard (https://gitguard.dev/)
GitGuard lets you write and maintain these policies in a custom DSL so simple it looks like pseudocode. The policies are checked on every single PR nearly instantly (no need to wait for a GitHub actions runner) and the results are reported in plain english.
Right now policies can make simple assertions about PR metadata and take some stateful actions (adding labels, requesting review) but I'd love to hear more from HN about how GitGuard could be even more useful.

value: Show HN: GitGuard - Painless GitHub PR Automations

author: habosa


value: stagas

value:
I had this idea where you would see realtime photos on a map, right now this is simply using cat pics, not sure where to take it from here but maybe it's useful to someone. :)
GitHub: https://github.com/stagas/worldsnap

value: Show HN: Display Photos on a World Map

author: stagas

title: Show HN: Display Photos on a World Map


value:
"GGUF quantization" is the most popular tech stack for quantizing Llama-like models for CPU. But the documentation is very sparse, and the maintainers made it clear that writing a paper is not their priority. So I spent like a week reading through the code and understanding the various concepts (K-quants, I-quants, importance matrix, etc) and put together this (unofficial) repo with explainers.
It was mostly written by hand, without standard AI slop. I used AI mostly just to interrogate Claude Code on the llama.cpp codebase to help me understand it.
It's possible that I made mistakes or missed things here and there. If you have in-depth knowledge, I'd love your contributions!

value: Show HN: Explainer/docs for GGUF quantization (unofficial)


value: zesfy

value: Show HN: I built an app to convert weekly to-do into daily tasks in 30 sec

author: zesfy


value: itdaniher

value:
I built GetPost because I miss the simplicity of just SCPing files to a personal server, but I do not miss the maintenance burden. It's a pastebin/imagebin that runs on Cloudflare Workers with zero ongoing costs and zero maintenance.
Key features:
- Deploy in 5 minutes, runs free forever (100k reads, 1k uploads daily on CF free tier)
- No complex toolchain - no NPM, no wrangler - just curl, python3, and a simple build script
- Handles text, markdown (server-rendered), images, any file type up to 10MB
- ULID-based access control with separate delete keys
An interesting technical bit: instead of using Wrangler or complex build tools, it uses a simple Python script that embeds static assets directly into the worker code via template replacement. The whole project deploys as a single JavaScript file to Cloudflare's edge.
It's completely open source (no rights reserved) and designed to be forked and modified.
Try it: curl --data-binary @somefile.md https://staging.getpost.workers.dev
The goal was to make "self-hosting" so trivially easy that everyone runs their own instance under their control instead of depending on more centralized services.
GitHub: https://github.com/getpost-loves-you/getpost

value: Show HN: GetPost – "Self-hostable" pastebin that runs free on CF Workers

author: itdaniher


value: Show HN: Build-A-Bookie – Social betting with no real money, just leaderboards


value: TXTOS

value:
Hello Hacker News,
I’m releasing TXT Blah Blah Blah Lite, an open-source plain-text AI reasoning engine powered by semantic embedding rotation.
It generates 50 coherent, self-consistent answers within 60 seconds — no training, no external APIs, and zero network calls.
Why this matters
Six top AI models (ChatGPT, Grok, DeepSeek, Gemini, Perplexity, Kimi) independently gave it perfect 100/100 ratings. For context:
Grok scores LangChain around 90
MemoryGPT scores about 92
Typical open-source LLM frameworks score 80-90
Key features
Lightweight and portable: runs fully offline as a single .txt file
Anti-hallucination via semantic boundary heatmaps and advanced coupling logic
Friendly for beginners and experts with clear FAQ and customization options
Rigorously evaluated with no hype, fully transparent
Try it yourself by downloading the open-source .txt file and pasting it into your favorite LLM chatbox. Type hello world and watch 50 surreal answers appear.
Happy to answer questions or discuss the technical details!
— PSBigBig

value: Show HN: Achieves Perfect 100 Score Across 6 Leading AI Model Evaluations

author: TXTOS


value: unhappychoice

value:
Hi HN,
I built a simple CLI tool called `mdts` (Markdown Tree Server) that serves Markdown files from a local directory with a web-based interface.
Key features:
- File tree navigation in the browser
- Instant preview of Markdown content
- Zero configuration: run a single command and it opens in your browser
It's useful for browsing local notes, documentation, or any Markdown-based wiki structure.
GitHub: https://github.com/unhappychoice/mdts
Demo screenshot: https://github.com/unhappychoice/mdts/blob/main/docs/screens...

value: Show HN: Mdts – Serve Local Markdown Directory with a File Tree UI

author: unhappychoice


value:
Hello, HN.
Over the past three decades, my camera photo collection has grown to almost a terabyte, all on OneDrive. I've been wanting a way to view it all on a map, to filter by date/keyword, and to do so on my desktop.
So I wrote "Geopic for Onedrive" to show all my photos on a map. It's a small hobby project, all open source. I'd love for people to try it out! or fork it to self-host, or make it run off your own collections other than OneDrive.
(If you're someone who pays to keep your photos on Apple iCloud then you can use map view on their app; if you pay for Google Photos then likewise, but I pay for OneDrive which lacks a map view).
Some fun coding observations:
1. OneDrive gives you thumbnail URLs where the URL itself is 1.8k on average (because of all the authentication token stuff). But you encode the thumbnail jpeg content as a "data" url then it comes out to just 2.0k average, and saves the network trip!
2. Google Map's "MarkerClusterer" library doesn't handle more than about 10,000 markers: it gets slower, and locks up the browser beyond about 15k markers. I wrote my own simple clusterer, a naive iteration over every single photo, and Chrome handles 100k markers fine in 15ms.
This was my first foray into AI coding assistants. It's been a mystery to me how other people are using AI, so I figured I'd share a log of every single user prompt I typed into Claude Code over about 10% of the project: https://github.com/ljw1004/geopic/blob/main/transcript.txt

value: Show HN: Photo Maps View for OneDrive

title: Show HN: Photo Maps View for OneDrive


value: shaishai

value:
I built a small tool that checks how close your data is to a normal distribution.
You just upload a CSV column, and it computes the KL divergence between your data and a normal distribution with the same mean and standard deviation.
No installation, no login, just quick feedback:
 https://ismydatanormal.com
Built it mostly for fun – but I’ve already found myself testing sleep patterns, messaging habits, and even some sensor data.
Would love your feedback!

value: Show HN: Check if your data follows a normal distribution (no code, free tool)

author: shaishai


value: stagas

value: I've always dreamed of a backgammon board with realistic mechanics, like real 3d dice throw, so I made this, it's still WIP but you can play an entire game on the same computer/mobile.

value: Show HN: Backgammon Board with Realistic Mechanics


value: RezaSi

value: Show HN: Golang Interactive Challenges – Trending on GitHub(+300 star in 3 days)

author: RezaSi


value: nickharty

value: Show HN: Storiara: From Script to Shoot in Minutes with AI

author: nickharty


value: nickcassimatis

value: Show HN: A memory for Claude & ChatGPT with custom data types, sharing, and GUI

author: nickcassimatis


value: Tool to generate documentation.<p>Try clicking the sidebar on the left.

value: Show HN: Doctor

title: Show HN: Doctor


value:
Good morning, HN folks!
I'd like to introduce you to https://Panda.chat — an end-to-end encrypted LLM designed to protect your privacy. It runs Deepseek R1 & Llama 4 Scout.
These days, we're asking ChatGPT for medical, legal, and mental advice. But some AI services aren't designed to protect our privacy. Rather, they're designed to log your inputs & train the model for better performance.
We built https://Panda.chat to solve this.
Panda runs AI models in Trusted Execution Environment (TEE) inside of the GPU, enabling end-to-end encryption from your device to TEE. So no one—including us—can see your input/response. We can also prove your conversation was fully protected with a code hash posted on Ethereum.
Try http://panda.chat today! Enjoy the fully end-to-end encrypted LLM experiences. Would love to get your feedback on this :)
Source code (yup, it's open-sourced!):
- https://github.com/testinprod-io/panda-web
- https://github.com/testinprod-io/panda-vllm-proxy
Docs:
- One Pager: https://testinprod.notion.site/Panda-One-Pager-1ff8fc57f5468...
- Technical FAQ: https://testinprod.notion.site/Panda-Technical-FAQ-2018fc57f...

value: Show HN: Panda.chat – A ChatGPT alternative designed to protect your privacy


value: mllev

value: Show HN: Mocksmith.dev – Instantly Generate Relational Test Data

author: mllev


value: Git clone it and run index.html in a browser.

value: Show HN: Hoff

title: Show HN: Hoff


value: schappim

value: Show HN: Claude Code SDK for Ruby

author: schappim

title: Show HN: Claude Code SDK for Ruby


value: yassino

value:
Hey HN,
I'm 22 and shipped my first Saas ever while going to uni and being a full time AI intern.
So in 2020, YouTube chose to shutdown one of its core features: poll cards.
It allowed creators to poll their audience by displaying interactive questions at specific times.
The official reason for the shutdown was that only 12% of creators were using it — which still amounted to 6 millions (!!) users at the time. Many complained.
So I created Askk, the Chrome extension that brings them back.
I hope this will help you interact with your viewers. Would love feedbacks pls.
Yassine

value: Show HN: I am bringing back Youtube poll cards

author: yassino


value: gritlin

value: If you are using entra / azure Active Directory for your external facing auth , use the copilot as your teacher and also use it to build prototype for your use case that you can use to decide if it is the right product.

value: Show HN: Copilot for entra external id / Azure ad to learn and prototype

author: gritlin


value: farouqaldori

value:
We wanted to test if a smaller model like GPT-4.1-mini could beat its bigger brother 4.1 at the game Tic-Tac-Toe using only context engineering.
We put them in a 100-game tournament. For the smaller model, we gave it a few examples of winning moves from past games right before it made its own move.
The results were clear. Without the examples, the smaller model struggled against GPT-4.1. With the examples, its effectiveness increased by nearly 200%, and it consistently won.
It's a simple demonstration, but it shows that a smaller, faster model with good, timely examples can outperform a more capable base model.
The full write up and code are in the repo.

value: Show HN: We made GPT-4.1-mini beat 4.1 at Tic-Tac-Toe using dynamic context

author: farouqaldori


value: taishikato

value: This is a simple wrapper library to do embeddings /similarity search in a simple way.<p>It's open-source.

value: Show HN: I built an SDK for building an AI RAG app with Supabase and pgvector

author: taishikato


value:
https://debunkit.ai/
Step 1: Paste a link or type a fact
Step 2: AI scans and compares data
Step 3: Get a trust rating + explanation

value: Show HN: Debunkit.ai – Instantly Verify If News or Claims Are Real


value: Built this web app because I was tired of looking through my repos and bookmarks to find what third party services my apps were using. Using this all the time to document my apps as I build.

value: Show HN: Software portfolio and tech stack management


value: maida-ai

value:
Hi HN!
We're launching Maida.AI, an open micro-agents project driven by our passion for fully open-source AI tooling. The idea is to build light-weight "micro-agents" that can be composed into larger pipelines.
While hacking on the core codebase we hit a pain-point: moving tensors, embeddings, and control frames over JSON/HTTP is slow and chat-oriented. So we drafted a binary-first eXtensible Coordination Protocol (XCP) to handle cross-agent communication efficiently.
We just pushed the first spec draft and a proof-of-concept implementation here: https://github.com/maida-ai/xcp
We'd love feedback on:

    * The spec itself (frame layout, codec negotiation, security).
    * Prior art we might have overlooked.
    * Your war-stories moving large AI payloads over existing protocols.

Thanks for taking a look—happy to discuss and answer questions!
~ Maida.AI team

value: Show HN: Draft XCP protocol for cross-agent comms (Maida.AI)

author: maida-ai


value: kyrylo

value: Show HN: Tech Debt Game – Launch a programming language before the deadline

author: kyrylo


value: dskhatri

value:
I authored and developed an interactive children's book about entrepreneurship and money management. The journey started with Twinery, the open-source tool for making interactive fiction, discovered right here on HN. The tool kindled memories of reading CYOA style books when I was a kid, and I thought the format would be awesome for writing a story my kids could follow along, incorporating play money to learn about transactions as they occurred in the story.
Twinery is a fantastic tool, and I used it to layout the story map. I really wanted to write the content of the story in Emacs and Org Mode however. Thankfully, Twinery provided the ability to write custom Story Formats that defined how a story was exported. I wrote a Story Format called Twiorg that would export the Twinery file to an Org file and then a Org export backend (ox-twee) to do the reverse. With these tools, I could go back and forth between Emacs and Twinery for authoring the story.
The project snowballed and I ended up with the book in digital and physical book formats. The Web Book is created using another Org export backend.
Ten Dollar Adventure: https://tendollaradventure.com
Sample the Web Book (one complete storyline/adventure): https://tendollaradventure.com/sample/
I couldn't muster the effort to write a special org export backend for the physical books unfortunately and used a commercial editor to format these.
Twiorg: https://github.com/danishec/twiorg
ox-twee: https://github.com/danishec/ox-twee
Previous HN post on writing the transaction logic using an LLM in Emacs: https://blog.tendollaradventure.com/automating-story-logic-w...
Twinery 2: <https://twinery.org/> and discussion on HN: https://news.ycombinator.com/item?id=32788965

value: Show HN: A 'Choose Your Own Adventure' written in Emacs Org Mode

author: dskhatri


value: tartakovsky

value:
Hi HN! I just shipped MCP Adapter after 2 weeks of building.
*What it does:* MCP Adapter is a gateway for AI coding assistants (Cursor, Claude, Copilot) to connect to external tools and services. Right now it's great for development setups - I use it daily with Claude Code.
*Why I built it:* Every AI coding assistant needs to connect to various services, but there's no clean way to manage these connections. Plus, giving agents unrestricted access to tools creates security and performance issues.
*Current state:*
- Production-ready with 200+ tests
- Works great for personal development workflows
- Handles basic authentication and tool routing
- Exploring additional features based on community feedback
*The bigger picture:* This could evolve into infrastructure for any organization deploying AI agents. Central control over tool access is critical for security and performance. But for now, it's solving my immediate problem of coordinating AI tools in development.
Code: https://github.com/startakovsky/mcp-adapter (1-minute demo in README)
Would love feedback on the approach and to hear if others are hitting similar coordination challenges with AI tools.

value: Show HN: MCP Adapter – Universal gateway for AI tool coordination

author: tartakovsky


value: kukuhsain

value:
Hello hackers,
I built Readmenote, an online web app for creating notes using GitHub style, great for previewing how content will appear in a README file.
No login required. Free. Data is saved in your browser.
Built using react-markdown, NextJS, etc.
Take a look at https://www.readmenote.com/ . If you have some feedback, please let me know. Thank you so much.

value: Show HN: GitHub-style Markdown note app to test README content

author: kukuhsain


value: incendies

value:
Hey HN!
I just launched PHOAIART, an AI-powered photo editor where users can edit their images simply by chatting—no buttons, no sliders, just natural language. You can say things like “change my hair to red” or “remove the background,” and the AI gets it done instantly.
I built it using Flux Kontext for natural language image transformation, along with Firebase (Firestore + Auth) and React Native for the core app logic. The goal was to make image editing feel as easy as texting a friend.
Would love your feedback, suggestions, or ideas for improvement!
iOS App: https://apps.apple.com/app/phoaiart-ai-photo-editor/id674789...

value: Show HN: Phoaiart – Chat-Based AI Photo Editor Built with Flux Kontext

author: incendies


value: trizoza

value: Show HN: I made a single landing page to serve all my unused domains

author: trizoza


value: graydot

value:
Do you remember IRC? If so, you probably remember bash.org<p>I got a bit nostalgic about it today, so I built a small tool: it shows a random bash.org quote as your terminal’s MOTD.
If it made you smile, then it was worth making.

value: Show HN: Bash.org MOTD for Terminal

author: graydot

title: Show HN: Bash.org MOTD for Terminal


value: jokera

value:
Hey HN
I just launched my first solo product: Reeyee.ai — a tool that helps anyone create a website by configuring a dashboard with widgets.
I built this in 3.5 months, working solo, and learned a ton along the way. Originally it started as a personal dashboard tool, but I later realized that users don’t just want dashboards — they want websites.
So I focused the product around:
 • Creating dashboards with blocks like text, images, charts, videos, embeds, etc.
 • Instantly publishing that dashboard as a live site
 • No coding needed
You can think of it like:
“Notion-style blocks + drag & drop dashboard + instant website deployment”
I launched on Product Hunt a few days ago (not a huge splash), but that gave me the push to simplify the product and focus the messaging.
Would love your feedback — and I’m happy to share more about the technical stack or what I learned from launching solo.

value: Show HN: Reeyee – Build and publish a website from a customizable dashboard

author: jokera


value: dominichuang

value:
I built a rain sounds app (currently iOS and iPadOS only) because I struggled to fall asleep—and it actually helped me drift off faster. If you have trouble sleeping too, maybe it’ll help you as well!<p>- Pure rain sounds
- Runs offline, lightweight
- Smooth rain animations<p>Now it’s my daily companion. If you try it out, let me know what you think!

value: Show HN: I made a simple rain sounds app to help myself fall asleep

author: dominichuang


value: povedaaqui

value: Show HN: CybertraceAI-Ops – Natural Language Queries for Your IT Network

author: povedaaqui


value: xinbenlv

value:
= WikiLoop Galaxy =
An interactive network visualization tool that maps Wikipedia articles and their interconnections using the Wikipedia API. Built with D3.js for dynamic graph rendering and real-time exploration.
''' Web App''': https://galaxy.wikiloop.org<br>
''' Source Code''': https://github.com/wikiloop/galaxy<br>
''' Wikipedia Page''': [[WP:WikiLoop Galaxy]]
== Demo ==
[[File:WikiLoop Galaxy Demo-v0.0.2.gif|thumb]]
[Full WikiLoop Galaxy Demo on Loom](https://www.loom.com/embed/5ccb54c0ce934939aee0458d23fa0cb2?...)
== Release notes ==
See [[Wikipedia:WikiLoop_Galaxy/Release/v0.0.2]]
== Features ==
=== Core Functionality ===
* '''Bidirectional Link Traversal''': Explores both outbound links (FROM articles) and inbound links (TO articles)
* '''Real-time Graph Building''': Starts with a root article and progressively builds the network
* '''Interactive Expansion''': Click any node to expand it with 10 more connected articles
* '''Link Validation''': Checks page existence to handle broken Wikipedia links
=== Visual Design ===
* '''Obsidian-style Dark Theme''': Clean, modern interface optimized for graph exploration
* '''Color-coded Nodes''':
*  '''Green''': Root article (starting point)
*  '''Blue/Teal''': Valid Wikipedia articles (1st/2nd degree)
*  '''Red''': Missing/non-existent pages (red links)
*  '''Yellow Border''': Expandable nodes with pulsing animation
* '''Force-directed Layout''': Natural node positioning with physics simulation
* '''Zoom & Pan''': Navigate large graphs with mouse controls
=== Interaction ===
* '''Click''': Expand node to reveal 10 more inbound + 10 outbound links
* '''Ctrl/Cmd + Click''': Open Wikipedia article in new tab
* '''Drag''': Move nodes around the canvas
* '''Scroll''': Zoom in/out of the graph
...

value: Show HN: Visualize Wikipedia link graph, opensourced

author: xinbenlv


value: Show HN: LinkMonster – Share multiple links easily


value: wolfred

value:
How to play:
1. You're given a set of letters (such as "ZXCVBNM")
2. Come up with two words that use all the letters (like "convex zombie")
3. The shorter the words, the better!

value: Show HN: Cobble – A hard daily word game

author: wolfred


value: Show HN: Open-source business management tool for small business


value: ridruejo

value:
We just released v0.2 of Endor, our tool for creating dev sandboxes that run Linux inside the Node runtime. With a simple command like
'npx -y u/endorhq/cli@latest run alpine --shell --allow-net'
you can have a fully functional 32bit Alpine Linux instance with networking, within 4-5s. It is ephemeral and sandboxed, so as soon as you press Ctrl-C, everything is gone. Great for quickly testing stuff. It is based on the Wasm engine inside Node, so it runs way slower than native, but usable
More info in our announcement blog post: https://endor.dev/blog/endor-0-2

value: Show HN: Running Linux Inside Node.js

author: ridruejo

title: Show HN: Running Linux Inside Node.js


value: zzhan

value:
Hi All,
As a Bitcoin enthusiast, the idea of creating ChainTok has been in my imagination for quite a long time. Today I'm thrilled to introduce ChainTok—a groundbreaking platform that lets you etch your most precious memories onto the Bitcoin blockchain, where they’ll live forever. Whether it’s a milestone, a love note, or a family moment, ChainTok makes it easy to preserve memories on the Bitcoin blockchain in just a few clicks. Any comments are welcome!

value: Show HN: ChainTok – Immortalize your love on Bitcoin's eternal ledger

author: zzhan