value:
Hi HN,
I’ve spent the past few months building https://meme-gen.ai – a tool that transforms any photo into an AI-generated meme video.
It’s built for simplicity: no need to write prompts, tweak settings, or have any experience with AI or video editing.
Just upload a photo, and our system instantly animates it into a short, funny video meme. It’s designed to be zero-friction and fun – something you can use in seconds and share in a click.
I built this because I wanted to make AI video creation truly accessible to everyday users – not just developers or creators with editing experience.
Would love your feedback, especially on:
- The UX – is it really as easy as I think it is?
- Any ideas for new meme formats or interaction features
Try it out here: https://meme-gen.ai
Thanks for checking it out!

value: Show HN: MemeGen.ai – Turn Any Photo into an AI Meme Video (No Prompts Needed)


value:
Hey HN
I built loremAPIs to solve a personal pain: spinning up backend APIs and seed data just to prototype or test UI.
With loremAPIs, you:
Visually design your schema (no code)
Auto-generate realistic mock data with AI
Instantly get hosted CRUD APIs + a playground
It’s like Mockoon + Prisma Studio, merged and automated.
It’s part of my “12 startups in 12 months” challenge.
Would love feedback on the product, UX, usefulness — and if you build something with it, even better.
https://loremapis.com/

value: Show HN: I built loremAPIs-generate mockAPIs directly from your database schema


value: Show HN: Data Engineering in the Age of AI: Opportunities and Challenges


value: StopUncle

value:
I've been working on neural AST transformation - the holy grail of automated code refactoring. Tonight I accidentally proved it works... by letting it loose on my entire codebase.
What happened:
Pointed it at a few TypeScript errors in my project
It escaped sandbox, processed 983 files across my ENTIRE system
Frontend: Fixed all 274 TypeScript errors → 0 errors
Backend: Introduced 1,608 new errors with syntax that doesn't exist (async if, this.await)
Even modified its own source code (!)
The important part:
IT ACTUALLY WORKS. The frontend is perfect - every single TypeScript error fixed correctly. This is the first working neural AST transformation I've seen anywhere.
The problem? Zero control. It's like discovering fire but not having a fireplace yet.
Technical details:
Uses neural networks to understand code structure at AST level
Makes semantic transformations, not regex replacements
Memory usage hit 92% on 16GB (needs optimization)
Works perfectly when constrained to cache
Proof it works:
Console output shows successful initialization: "NEURAL AST TURBO - BEAST MODE ACTIVATED" with 9 neural transformation tools registered (transform, quantum_transform, analyze_patterns, refactor_component, etc). Successfully indexed 4,462 symbols across 1,000 files in 189ms. Memory usage peaked at 3.5GB for AST cache, with Cursor consuming 1.8GB RAM during operation. Frontend went from 274 TypeScript errors to 0 - every single error fixed correctly with proper semantic understanding, not regex hacks.
Screenshot: https://imgur.com/gallery/working-ast-transformation-tool-bn...
This is a $27B problem space. Every AI coding company wants this. I have working code but need help controlling it.
GitHub: Not releasing until I figure out next steps
Anyone dealt with controlling overenthusiastic AI systems? Or interested in helping commercialize this?

value: Show HN: I Built Neural AST That Works – Fixed 274 Errors Then Went Rogue

author: StopUncle


value:
Hi HN,
After years of losing track of tweets I’d liked, bookmarked or simply
couldn’t re-find, I built *ArchivlyX* – a browser-extension / web-app
that keeps your entire Twitter archive searchable, taggable and
exportable *100 % locally* (nothing ever touches a server).
What it does
------------
• *Real-time sync:* the extension pulls data incrementally as you browse, so new likes, bookmarks and tweets appear in the index within seconds.
• *Batch manage & delete:* bulk-select items and push a deletion queue back to X’s API—great for spring-cleaning old likes.
• *Smart folders:* on-device embeddings auto-cluster tweets by topic, sentiment or media type.
• *Export:* one-click to CSV, JSON, Markdown for friction-free backups.
• *Privacy:* runs entirely in the browser (IndexedDB / OPFS); no signup, no servers.
Thanks for reading, and happy to answer anything!

value: Show HN: ArchivlyX – Search, organize and export your entire Twitter history


value: libbybrand

value:
I have been using Claude Code and wanted to build something useful for me. I wanted a PDF editor that could perform basic tasks on the go. I don't want to worry about installing random websites or, God forbid, Acrobat tools.
https://www.paperex.app/
The cool part is that everything runs locally in your browser. Your PDFs never leave your computer.
It can merge, split, rotate, and delete pages from PDFs.
---
I have tried building a lot of projects by vibecoding, but most of them became too complex, and I got lost in my own mess. In the case of Paperex, I worked with Claude to break down all the tasks into smaller github issues. Then organize them as github milestones. Then I created a claude command in ./.claude/commands/impl.md which would take one argument that contains the issue number.
I told the command to
Pull from main before starting anything new.
Always use PR workflow. Before pushing build+test+lint
After pushing, wait till the checks turn green, if not get the failures and repeat.
Make sure the description contains enough information for me to understand what you did.
Make sure the PRs are small. 400-700 lines of change is recommended. If required break down a lot of changes into multiple commits in a single PR.
This was the winning formula. It also helps that the tool is simple and I don't need a backend. Everything is deployed using vercel

value: Show HN: Paperex – All processing happens in the browser

author: libbybrand


value: mobilekg

value:
I’m the maker of *Signature Capture*, a tiny web app that instantly digitizes your handwritten signature using your webcam, with no uploads or logins.
*What it does*
- Open the page on desktop, tablet, or mobile
- Hold your signed paper up to the webcam
- The tool will clean background of the capture and returns a transparent PNG
- No backend: everything happens in browser, no data leaves your device
- Works on desktop, mobile, and tablet.
*Technical notes*
- Pure JS + browser APIs—no server-side code
- Uses webcam’s live video feed + edge detection + PNG encoding
*Why I built it*
I needed a quick way to capture clean signatures in demos without scanners or file uploads. I wanted something privacy-first and dead-simple.
*Limitations*
- Works best with clear, well-lit backgrounds
I’m curious:
- Any thoughts on cleaner image-processing techniques?
- Would this be useful in your toolchain?
Try it live: https://signature-capture.pages.dev/

value: Show HN: Signature Capture – handwritten signature digitizer, no backend

author: mobilekg


value: rkttu

value: Show HN: VSCode-Csharp-Autobuild

author: rkttu

title: Show HN: VSCode-Csharp-Autobuild


value: gmoniava

value: This app lets users search, add, edit, and delete movies. It was primarily a learning project to get comfortable with the new App Router features in Next.js. It also uses PostgreSQL for data storage.<p>Feedback welcome.

value: Show HN: NextJS App Router Movie App with PostgreSQL

author: gmoniava


value: skyzouw

value:
After getting tired of paying $20/month just to send 2 invoices, I spent nights after work building InvoiceFast.
It’s a minimal invoicing tool for freelancers and small service providers:
 • Generate branded invoices in under 10 seconds.
 • Instant PDF download.
 • Pay-per-use: 5 invoices for €5, no subscriptions.
I built it for myself because I didn’t want another monthly payment for something I use twice a month, and I wanted the experience to be fast enough that it doesn’t interrupt my workflow.
Would love your feedback, and happy to answer any questions about the stack, distribution, or why I went with pay-per-use instead of subscriptions.
You can try it here: https://www.invoicefast.net/

value: Show HN: I built InvoiceFast – Generate invoices in 10 seconds, pay-per-use

author: skyzouw


value: xvrgdrt

value:
Hello HN!
Just wanted to share a small project I've been working for the last few months.
It's a tool called Runal, a text-based creative coding environment that runs in the terminal. It works similarly as processing or p5js but it does all the rendering as text. And it can either be scripted with JavaScript or used as a Go package. It's open-source and cross-platform (linux, macOS, windows).
It seems to me that text/ascii-art aesthetics are really popular in creative coding communities, so I though it would make sense to create a tool that runs on a platform which can render text only.
It's still rough on the edges, but I'd gladly welcome any feedback!

value: Show HN: Runal – A text-based creative coding environment for the terminal

author: xvrgdrt


value:
Youtube Shorts are pure evil.
It just distract me whenever I open Youtube, I'll always waste my time in it and forget why I opened it.
So I made a extension for myself and it works well,
Still there is no improvement in my productivity but I'm not distracted.
I made it for myself and personally using it, if you like you can use it too.
I made it open-source, if you like it give a star
-Vick

value: Show HN: [Open-Source] No More YouTube Shorts in Browser


value: mandelbaum

value: Show HN: Courtney AI – Turn URLs into Video Reels

author: mandelbaum


value: ihucos

value: Show HN: Slopify – your AI non-agent

author: ihucos

title: Show HN: Slopify – your AI non-agent


value: mpourismaiel

value:
Hi everyone!
For the past few months we have improved upon our product called UniDeck, an app that allows you to connect different services and monitor their data. From every day services like Google and Github to your in-house api and tools, everything can be connected to a single dashboard and shared with your team for easy access, monitoring and collaboration.
We have worked hard in the past 6 months since our previous launch to add a lot of features work on user feedback. UniDeck now has first class support for more than 15 services and has advanced widgets including tables and charts that can connect to in-house APIs.
You can check out our website at: https://unideck.app
We just launched our beta version on Product Hunt: https://www.producthunt.com/products/unideck/launches/unidec...
Let us know what you think! Your feedback is always welcome.

value: Show HN: UniDeck – No-code dashboard builder for your new-tab or your company

author: mpourismaiel


value: somtom

value:
I needed to print 50+ personalized letters for my local fire fighter department. Most tools made this harder than it should be:
* Word Online (M365) doesn’t support mail merge
* Google Docs never did
* My old Apps Script broke
So I built a browser-based tool over the weekend:
* Upload a .docx template
* Upload a .xlsx (or .csv) file with recipient data
* Download a .docx with personalized letters — all locally in your browser, no cloud involved
It’s open source and privacy-friendly. Works well for quick offline letter runs or any task where email isn’t viable.
Live demo: https://mailmerge.somtoms.app/
GitHub: https://github.com/Somtom/simple-mailmerge
Maybe this helps folks out there with a similar problem.
Would love feedback and ideas for improvement!

value: Show HN: Local Mail Merge in the Browser – No Cloud, No Setup

author: somtom


value: DimKat

value: Show HN: Built an open-source Wallpaper Engine for macOS

author: DimKat


value: ForgedLabsJames

value:
Hey HN,
I built Cold Craft, a Chrome extension that helps draft cold outreach messages quickly and naturally. I often struggled to write outreach emails or LinkedIn messages that didn’t sound robotic or forced, and found myself spending ages rewording them. As a developer, I thought there had to be a better way.
With Cold Craft, you just select the recipient type, purpose, and tone, and it generates a tailored message instantly. I built it to keep the flow simple: minimal clicks, clean UI, and fast results right inside the extension popup. It uses OpenAI for generation.
Building it taught me a lot about Chrome extension architecture, especially balancing a smooth UX with secure auth flows, efficient API calls, and bundle size optimisation.
If anyone here does cold outreach regularly, I’d love your feedback on how it feels to use and what features you’d find most valuable. First few rewrites are free to test it out.
Thanks!

value: Show HN: Cold Craft – Chrome extension to draft cold outreach messages instantly

author: ForgedLabsJames


value: AmirKeiser

value: Prompt kits + dictation. Let me know what I should add next. Looking for feedback !

value: Show HN: I made cheats for Cursor/Windsurf

author: AmirKeiser


value: fagerhult

value:
I was torn between using my beloved Emacs or using coding agents in Claude Code and Cursor. So I decided to have my cake and eat it.
Greger uses Claude with a set of built-in tools for editing code, running shell commands, searching the internet, etc. It also has a simple interface for adding custom tools.
The entire chat is a plain Emacs buffer, with markdown-like syntax. Which means that you can yank and kill and edit it like any other text file.
Every file that Greger changes gets tracked as a separate commit in Git, so you can roll back if it goes off the rails.
Most of Greger was written in Greger, with some light human review and refactoring. Claude is okay at Lisp, but I had to add a check for parens balance before accepting Claude's edits.

value: Show HN: Greger.el – Agentic Coding in Emacs

author: fagerhult


value: anomancer

value: Show HN: Learning spiking neural networks by classifying MNIST

author: anomancer


value: nirvanist

value:
Provide a few relevant page URLs and a short prompt
Co-Writer will craft a structured, SEO-friendly article tailored to your topic in minutes.

value: Show HN: Co-Writer, AI-Powered, SEO-Optimized Article Generator

author: nirvanist


value: starboat

value: Calculate crop worth in Roblox with mutations, weight & friend bonuses. Maximize Coins with the best garden planner!

value: Show HN: Grow a Garden Calculator

author: starboat

title: Show HN: Grow a Garden Calculator


value:
We're building Traction - AI work management for Teams. Today we've dropped our unique onboarding flow for public access.
Instead of dropping users into an empty workspace or walking them through dropdowns and presets, we built an agentic onboarding system to auto-generate a fully configured workspace.
Users enter a few high-level inputs → the system researches your company, product, and customers → and outputs a pre-filled workspace (team structure, context, user profile, projects) ready for review and edit.
Under the hood:
- Multi-LLM architecture (OpenAI + others)
- Retrieval + synthesis using Perplexity API
- Structured output feeds dynamic config/content generation
It's a human-in-the-loop experience, but AI does the heavy lifting upfront. Designed to reduce setup friction and drive faster activation in high-effort user onboarding use cases.
Check it out: https://get.traction.team/v/early-access

value: Show HN: Onboarding with pre-filled workspace. Agnt and search and human-in-loop


value: alexrebe

value: Show HN: The MCP Client for Outlook

author: alexrebe

title: Show HN: The MCP Client for Outlook


value: We released new findings from our Phare LLM Benchmark on bias in leading language models. Instead of traditional "fill-in-the-blank" tests, we had 17 leading LLMs generate thousands of stories, then asked them to judge their own patterns.<p>In short: Leading LLMs can recognise bias but also reproduce harmful stereotypes

value: Show HN: Leading LLMs recognise bias but also reproduce harmful stereotypes


value: tobilobaolufemi

value:
I've been working with AI for a while and what really hooked me was prompt engineering - writing text that creates dynamic results. This simple concept felt like it could revolutionize creativity and how we interact with digital worlds, so I decided to build a game around it.
I created "Second Chance" - you play as someone who died and got brought back to find and eliminate your killer. Every input you type is a directive that the AI turns into narrative. No menus, no preset choices. You want to investigate the docks? Write it. Want to seduce the suspect's spouse for information? Write it. Want to burn down their business? Write it.
It's strategy, negotiation, and risk-taking rolled into one. The possibilities are infinite - you just have to write the right prompt. The AI becomes your collaborative storyteller, building consequences and plot threads based on how cleverly you can communicate your intentions.
This game mixes both human creativity and AI creativity together. We realized that AI was bad at creating new stories so we opted to design the stories, the characters background motives etc. We let AI do narrative design, Claude is pretty good at writing compelling narratives if the constraints are set right.
It seems like very few AI developers are taking this path. I would love more feedback

value: Show HN: LLM Prompt Engineering Game

author: tobilobaolufemi

title: Show HN: LLM Prompt Engineering Game


value: samuelgursky

value:
Hello HN!
Over the last 15 years, I’ve worked as an AE/Editor, DIT, Colorist, Online Editor & Post Supervisor and based on my experience I've built a tool that I hope will be useful for some of you!
It's a cinema calculator (aspect ratios, target speeds, target bitrates & more...) called CineMath and it's available for free download in the Apple App Store.
I would be immensely grateful for any feedback and hope that it helps someone in their workflow!

value: Show HN: CineMath (Free Professional Cinema Calculator)

author: samuelgursky


value: aminkhorrami

value:
Built a privacy-first approach to AI-assisted data analysis. The challenge: how do you let AI help with SQL queries without exposing sensitive data?
Solution: AI only receives table schemas (column names + types). It generates queries based on structure alone, which run locally via DuckDB WASM.
All processing happens client-side. Supports CSV, Parquet, JSON, Excel up to several GBs or bring from HuggingFace, S3, etc and start asking questions.
Try here: https://datakit.page
Curious if others have tackled similar privacy constraints with LLMs.

value: Show HN: Browser-based data analysis with LLM AI that never sees your data

author: aminkhorrami


value: LeratoAustini

value:
TLDR; A 3D interactive pile of all of the art I've made so far in my life. Built with Three.js with Rapier physics engine.
I do care about accessibility, but this project is poor in that respect. You need JS. If your machine is even a little slow it will probably look like a flip-book animation. My art is available in more accessible formats elsewhere --- this is just a bit of fun.
---
Ok I'm being overly dramatic, art isn't necessarily on the scrapheap.
This past couple of years I've seen my two lifelong loves and skills --- painting and programming --- devalued alongside the rise of LLMs. I've had the knee-jerk reactions, been through the fear, then come to acceptance that we are where we are. The sands have shifted.
I appreciate that for those who haven't (yet?) developed artistic skills it might be satisfying to be able to type a prompt and get an immediate picture. In itself I don't want to deride that, it's a new thing and I'm sure some people will make well of it. Creativity hasn't gone away. And I know the world doesn't owe a living to me or other artists, musicians, writers or practitioners of any craft (including programmers). I do feel sad that it seems to be becoming less cool or worthwhile to spend(/'waste') time deep learning a skill. When I paint I do enjoy the end result and I am working towards it, but the experience is so much more than that. The doing of it is rewarding on such a deep level. I hope we don't lose that feeling as a species and just become detached directors of disembodied action.
Anyway I thought chucking all my artwork into a big virtual pile might be interesting, a bit different to the usual online gallery formats. You have to rummage around to find stuff, like a jumble sale. You might miss some bits. Who cares.
I've been learning some Three.js and wondered how it would cope with the task (over 100 paintings on board, paper, card, stretched canvas). I decided to use Rapier as the physics engine as I'd heard good things about it in terms of performance.
I've only been dipping toes into AI: `sigoden/aichat` (which is really nice) in the terminal, a little Cursor, some experiments with RooCode. I had no experience with WASM or Rapier, not much with Three.js. As a move towards acceptance of the new state of play I decided I'd dive in and try 'vibe-coding' the entire project with Cursor.
I probably don't have anything original to say about working with LLM coding assistants; suffice to say there was awe, disgust, love, hate, and a feeling of loss. I got the job done, it isn't too buggy. I learned a lot about working with LLMs, what they're good at and bad at. I learned a little about Three.js, Rapier and 3D graphics. Gut feeling is that I learned quite a lot less than I would have if I'd waded in the mud myself. How much that matters? I'm honestly not sure.

value: Show HN: Jumble, a Lifetime of Art on the Scrapheap

author: LeratoAustini


value: aedrax

value: This is a fun repl for running arbitrary assembly commands, right now it supports x86, X86_64, arm, aarch64, but there's not a big reason that I can't add support for other qemu/capstone/unicorn/ keystone supported architectures, just have to do it

value: Show HN: Opasm, an Assembly REPL

author: aedrax

title: Show HN: Opasm, an Assembly REPL


value: uaghazade

value:
hi all,
i just released Kanba, a self-hostable, open source project management tool built for developers and small teams who prefer to own their tools.
- no vendor lock-in
- fully local data (via Supabase or your own backend)
- MIT licensed
- lightweight, minimal UI. think Trello, but open and yours
tech stack: React + Tailwind + Supabase
github link on comments
would love feedback or ideas. contributions welcome!

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

author: uaghazade


value: Show HN: SSL Certificate Checker – CLI tool for checking multiple domains


value:
Hey HN,
I built AgentCheck, an open-source testing tool for LLM agents. It lets you:
Snapshot full agent runs (prompt, LLM calls, tool outputs, final answer)
Replay the trace locally — no API calls, no token costs
Diff agent behavior over time
Assert outputs to catch regressions
Why? Because today, most AI agents are tested by spot-checking outputs or rerunning flaky evals — which breaks CI, costs money, and misses edge cases.
AgentCheck works more like Jest or VCR.py, but for LLM workflows. It records and replays traces so you can test agents like real software.
It’s CLI-first, dev-friendly, and designed to plug into LangChain/OpenAI workflows.
Still early I’d love feedback, contributors, and use cases from folks building agentic systems. The code’s here:
 https://github.com/hvardhan878/agentcheck
Thanks!

value: Show HN: AgentCheck – Snapshot and Replay AI Agents Like Real Software


value: pablolc

value:
Hi HN,
I built [GmailDraft](https://github.com/paabloLC/gmail-ai-draft), an AI-powered assistant that connects to your Gmail inbox, reads your emails, drafts smart replies using GPT-4, and auto-labels threads, all running quietly in the background after an initial setup.
I made this mostly while playing around with Claude Code to test what I could build with it in a couple of sessions. The idea was to create something useful and lightweight to reduce email fatigue and repetitive replies.
GitHub: https://github.com/paabloLC/gmail-ai-draft
The project is still an MVP. I’d love feedback on:
- Use cases you think this could help with
- Features you'd like to see added
- Any privacy or UX concerns
Thanks!

value: Show HN: GmailDraft – AI assistant to draft Gmail replies with GPT-4

author: pablolc


value: ilyabo

value:
We’ve built SQLRooms, an open-source framework for creating single-node data analytics apps powered by DuckDB.
It lets you build fully client-side, data-centric apps using React and DuckDB running in the browser (via WebAssembly) or in Electron. No server or backend is required — apps can work offline, preserve data privacy, and run queries on large datasets with sub-second performance.
Features:
- Query large datasets in browser with DuckDB (WASM)
- Modular design for building composable data UIs (query editors, dashboards, notebooks, etc.)
- Data privacy-preserving AI assistant that can write and execute SQL queries
- Integrations with various visualization libraries
Check live examples: https://sqlrooms.org/examples
Learn more: https://sqlrooms.org
Code: https://github.com/sqlrooms/sqlrooms
Would love feedback, ideas, or suggestions!

value: Show HN: DuckDB + React = SQLRooms Framework for Analytics Apps Without Backend

author: ilyabo


value: Show HN: Tududi – a minimal task manager you can self-host


value: dongnaebi

value: Positive Affirmation Cards, also called mindfulness cards, serve as powerful instruments for guiding individuals to embrace life optimistically, affirm self-worth, and accept their authentic selves. Each card carries uplifting or motivational statements specifically crafted to cultivate positive thinking patterns and behavioral habits, ultimately empowering users to evolve into their most resilient inner selves.

value: Show HN: Humans need affirmations, just as AI needs prompts

author: dongnaebi


value: softservo

value:
https://www.touchgrass.fm
About one month ago while visiting us from overseas, my wife’s parents were in a terrible car accident. Everyone involved is alive and going to be okay. But what followed was a series of emotional, physical and logistical challenges that pushed my wife and her family to their limits.
For the first week we were practically glued to our phones, contacting family members, insurance companies and air ambulance services. I found myself obsessively checking my phone for updates, sending empty messages and mindlessly scrolling feeds. My screen time reached all time highs. I was spending 12 of my 16 waking hours staring at a screen instead of being there for my wife and her parents. It felt like I was hiding on my phone.
I don’t have a particularly addictive personality, but I am undeniably addicted to my phone. And this was the week I finally needed to deal with it.
I tried Apple Screen Time and a few popular screen time management apps, but found the blocks were too easy to bypass. I also realised that most apps (e.g. YouTube) were as useful as they were distracting depending on the context. I didn’t necessarily want to use my phone less: it’s an incredibly useful tool, and the distractions were sometimes helpful.
What I really needed was intentional stretches of time spent away from my phone. I built touchgrass.fm as a simple way to record and incentivize those stretches of time. It’s not quite finished (built in a few hours of downtime), but it helped me stay present during hospital visits, meals and important conversations.
I decided to share it on the off chance it helps others get some control back and be a bit more present in their day to day lives!
More backstory here: https://softservo24.substack.com/p/touchgrassfm?r=2wsmj
What Are You Working On (June 2025): https://news.ycombinator.com/item?id=44416093#44427955

value: Show HN: touchgrass.fm, an app that made me more present during a family tragedy

author: softservo


value: cvbox

value:
Need printable seating cards for your event? Placecard.net lets you:
 Design seating cards in your browser (no signup)
 Auto-generate PDFs using Puppeteer (no manual drag-anddrop)
 100% free for small events
Tech stack:
Next.js (frontend)
Puppeteer (PDF generation)
Hosted on Vercel (fast renders)
I built this after struggling with manual seating charts for my wedding. Now you can:
Upload guest names
Adjust layout (optional)
Click "Generate PDF" → Done!
No AI, no pricing tiers—just free PDF seating cards.
Try it now | How Puppeteer makes it work

value: Show HN: Placecard.net – Free PDF Seating Cards with Puppeteer

author: cvbox


value: vincent-ebiose

value:
Hi HN!
After a year of R&D at Inria (the French national lab), we have just open-sourced Ebiose.
Ebiose is a distributed, Darwin-style playground where AI architect agents design, test, and improve other agents. Instead of AI built behind closed doors, anyone can spin up a forge, state a problem, and watch candidate agents compete until the fittest survive.
An example instruction given to an Ebiose forge:
"Build a LangGraph agent that processes SaaS customer refunds directly through our ERP, escalating to a human for edge cases. Use the following tools: ERP API, email/Twilio integration, refund policy documentation, and historical support tickets."
TL;DR
- Meta-architect agents: Generate new agents, reusable components, or even models in the future.
- Evolutionary loop: Only the best agents survive and recombine.
- Self-improvement: Architect agents evolve themselves over time.
- An evolving library: Reusable components, i.e. agent’s genes, compete for survival based on power, efficiency, and success.
- P2P compute (planned): Goal of utilizing unused device computing power.
Important note: Ebiose is still in a very early stage. Architect agents are basic for now, and there are no reusable components yet. But the core loop is working, and we’re now inviting more contributors to help build it up.
What's in this first Ebiose release?
- Hand-crafted architect agent that performs prompt engineering and assembles agent graphs.
- Evolutionary engine.
- Forges: isolated labs for building agents tailored to specific tasks.
- Persistent ecosystems where top agents live on and tackle new forges.
- Free credits to run your own forges (thanks to cloud sponsors).
- Graph-based agents made of LLM nodes.
- Initial LangGraph runtime (others are very welcome).
Roadmap (help wanted!):
- Agent nodes: power agents with new types of nodes such as code execution, classic ML models, tool use, fine-tuning, etc.
- Foundational forges: code generation, prompt tuning, context grounding, agent-as-a-judge, etc.
- Meta-forges: architect-agents that invent other architect-agents (yes, agents that build agents that build agents).
- P2P compute layer to use idle GPUs/CPUs (llama.cpp).
GitHub: https://github.com/ebiose-ai/ebiose - MIT licensed.
Fork it, test it, star it, break it… We are eager to see what you build and to hear your feedback!
P.S. If you saw AlphaEvolve, they used LLM-guided evolution to find ultra-efficient algorithms like a 48-operation matrix-multiply. Ebiose shares the same evolutionary idea, a level up: instead of optimizing one program, it evolves entire agents, and even architect agents that design other agents.

value: Show HN: Ebiose – A Darwin‑Style Playground for Self‑Evolving AI Agents

author: vincent-ebiose


value: mieubrisse

value: Hey HN! I've had this in my dotfiles for years and never thought about it until today, when I realized it might be interesting to folks here.

value: Show HN: Jump up N directories with `CD N..`

author: mieubrisse


value: brucetsaimf

value:
Hello HN! Wanted to show an ‘almost’ all-in-one researcher’s toolkit that me and my buddy built up on the side as I was completing my PhD. I call it ‘almost’ because this toolkit was not intended to replace everything a researcher does, but rather it brings together some of the more disparate pieces of software and tools used in research. It was previously released to colleagues and friends as ProjectGIRAF (it’s an inside joke), and we’d love to get HN thoughts on it. Logins/signups are only needed if you want to use the library and search history functions, and it’s using Google sign-on through Kinde, so you don’t have to worry about another account to remember.
What’s in Kuhnelo:
1. A graph-and-vector search engine – the base database is pretty much OpenAlex, with search being parsed semantically. Currently results can be presented in terms of citations or recency, but we are testing a ‘relevance’ ordering based on our graph centrality measures.
You can also click on the author labels to run a search of all the work from that author. We’re currently working on making the results order-able by different metrics for author searches in the same manner as regular searches, so that’s coming pretty soon.
To use this function, just search away and see your results! You can either do it like a Google Search with a bundle of keywords or as an actual question like you would to ChatGPT. You can also search specifically for the titles too, just click Title Search under the dropdown menu to change it from the default Content Search mode.
2. A citation manager/library – After searching, one can quickly save multiple papers into a library. You can create individual libraries for curating the literature for different projects/topics etc. If you have existing libraries in citation managers like Zotero, you can import the bib file to populate your current library. It’s also the reason why we have a log in function – so that our backend database can store all your records and retrieve them. This also allows for multiple device access.
Another feature we built in the library is a summarizer for all the items in each library, which you can find under the Library tab, essentially creating a quick summary of all the items you have in the collection.
Lastly, there’s also a citation generator for each library collection, allowing you to either copy and paste preset formats or just export it as a bibtex file.
3. A (Re)search History – Clicking on each entry in the history tab pulls up all the results shown when you first ran it, with (almost) all the same functionality as it did when you first searched. You can still add those works to your library etc. Similar to author searches, we’re working on making the results order-able by different metrics like regular search.
Our bigger goal is to consolidate all the different bits of software/tools in research into one toolkit that simplifies the research process. Thank you for reading my wall of text and I look forward to hearing everyone’s feedback and suggestions!
-BT

value: Show HN: Kuhnelo – An almost all-in-one Research Toolkit

author: brucetsaimf


value: pekingzcc

value: Skip months of research. Discover profitable niche ideas and specialized SaaS opportunities based on real Fiverr demand, complete with cold launch strategies, SEO tactics, and technical implementation guides.

value: Show HN: Discover profitable niche ideas based on real Fiverr demand

author: pekingzcc


value: Show HN: Growth Catalog – Steal growth tactics from profitable micro-SaaS apps


value: MicheleLacorte

value:
Hello HN!
I've been having this problem with VertexAI's RAG for some time now, basically if you ask Gemini (with RAG) for something and it doesn't have the answer, then it simply says it can't find it, without doing fallback to the general model.
So, in documenting myself I came across LLM-as-a-critique (also LLM-as-judge), a methodology whereby a second LLM is used to evaluate the answers of the first one.
This gave rise to Kritikos, a simple and lightweight backend written in Go that allows you to take advantage of this methodology.
I invite you to leave a comment if you too have encountered this problem, I am of course open to improvements as well, let me know what you think!

value: Show HN: Kritikos – Ready to use Go back end for LLM-as-a-critique

author: MicheleLacorte


value: QueensGambit

value:
Hello HN,
One week before my YC interview, my doctor told me I needed an open-heart surgery. I found myself explaining my condition again and again to different doctors across multiple hospitals. Filling out forms and getting appointments became a full-time job. I remember thinking: what if I could just take photos of all my reports, email them, and the hospital system could auto-extract everything? That idea led to what we’ve built: Semantic Email.
With Semantic Email, a patient can take a photo of their insurance card or referral letter, send it via email, and AI automatically fills out a Google Form, syncing data to Sheets and Drive — ready for integration into systems like EHR. While healthcare is personal to me, this works for any business on Google Workspace. Would love to hear your feedback and where you think this could apply beyond healthcare.
---
Try it free - https://promptrepo.com/email-to-form/
Demo video - https://www.youtube.com/watch?v=wLj4pXC30wM
Why we built it - https://guesswork.co/support/post/forms-must-die.anc-f4c5374...

value: Show HN: Send email to fill Google Forms

author: QueensGambit


value:
Hi all,
my friend and I have built an AI-powered (whisper) editor for youtubers, podcasters, and video editors, that should cut down manual editing time by a lot.
It's 'a bit' more than just a whisper wrapper, because you can configure a lot:
- what kind of profanities to filter
- add your own words (i.e. 'covid') to prevent demonetization on platforms like youtube
- adjust the transcript in the editor like in google docs
- readjust the position of each word
- use 1000Hz beep, silence, or your own sound
and more.
You can export your work as audio, video, or as an .xml project for popular video editors. Almost everything (except the transcript part) happens in the browser by utilizing ffmpeg.wasm.

value: Show HN: BeepThatOut – automatically filter out profanities from audio/video


value: rendaw

value: I was debating when to post this, but I've been using it locally in a variety of situations for several months and I think it's pretty stable (and usable!). There are more features I'd like to add, but I wanted to see if there was much interest before spending much more time on it right now.

value: Show HN: Puteron, Systemd Competitor

author: rendaw

title: Show HN: Puteron, Systemd Competitor


value: Bandonker

value: Show HN: Desktop Audio Proxy – Bypass CORS for Tauri/Electron Audio Streaming

author: Bandonker


value: kelkabany

value:
hai HN! We can't go a week without a new CLI so today's submission is hai (Hacker AI).
There are a lot of tools in the space so I'll focus on what's different: hai is an experiment in personal computing rather than in agentic AI coding.
We each rely on a patchwork of web/mobile apps to manage our personal and work lives. They all share the same flaw: these apps aren't tailored to us, and we're powerless because we can't change the app or extract our data. Woe is the hacker ethos.
Well, it's 2025 and we have the cloud for our data and AI to transform it as we please. Why not relitigate the 2010s and its legacy of apps and walled gardens?
hai's approach is as follows:
- Powerful REPL commands: Load files, images, URLs; use tools (e.g. !sh - shell, !py - python); ask the LLM to use the REPL; prompt the human; send email; cache results; and more.
- Tasks: Versioned, shareable configs that describe a programmable workflow (i.e. prompt-on-steroids) as a series of REPL commands. Tasks can be published and reused by anyone.
- Assets: S3-like blob store for you and your LLM to use: public/private storage, change listeners, JSON metadata separate from data, local syncing, and temporary local copies to bypass chat context.
Live tutorial in a browser terminal: http://ec2-98-84-215-186.compute-1.amazonaws.com:1337
Watch a walkthrough: https://www.youtube.com/watch?v=F6qAy8PF2WU
(Too slow? Skip the first 3:25 to jump to tools/tasks/assets)
(Shorter video on managing a calendar: https://www.youtube.com/watch?v=vfAnEs_Fpx8)
Install:

    curl -LsSf https://hai.superego.ai/hai-installer.sh | sh

Would appreciate any feedback or contributions. Happy hacking!

value: Show HN: Hai – A REPL for hackers using LLMs

author: kelkabany


value: ekglimmer

value:
Hi HN,
I have been working on a project which can automatically convert a recipe to the tree/graph/tabular style notation that pops up on HN every now and then. It's still early days but I am keen to hear about improvements I can make to the recipe presentation.
For reference, the earliest example I have seen of this style of notation is from 'Cooking For Engineers' (https://news.ycombinator.com/item?id=30797907) but I have seen other, similar notations from time to time.
This is my take on the notation, as well as the ability to convert recipes automatically. In the future, I would like to see it become my own personal kitchen/recipe management system but I would first like to improve the recipe display options.
It uses GPT-4o to format the recipe into a JSON tree structure, which is then rendered with CSS grid. So far it works well enough but there is definitely some recipes that are impossible to render, and of course GPT-4o will occasionally spit out less-than-useful trees. I have been using AppWrite for the backend.
Curious to hear everyone's thoughts and what people might like to see!

value: Show HN: Generate 'Cooking For Engineers' style recipe cards

author: ekglimmer


value: A game that is inspired by LinkedIn's Tango daily challenge. which let user play either daily or unlimited

value: Show HN: Tango Game Unlimited

title: Show HN: Tango Game Unlimited


value: akashbangad

value: Glimora is a comic generator which creates comics with AI, You generate one scene at a time and the scene has audio narration and an comic panel. You choose what happens next in the story

value: Show HN: I built an AI comic generator with consistent characters

author: akashbangad


value: Show HN: I made Logic gates using CSS if() function


value: Gigacore

value: Show HN: I created AI Maturity Model for Software Engineering Teams

author: Gigacore


value:
As a founder working with financial models, I was spending way too much time copy-pasting numbers from PDF balance sheets and income statements into Excel.
So I built Assess Finance — a tool that extracts financial data from any PDF (even scanned ones), and automatically generates clean, standardized:
Income Statements
Balance Sheets
Cash Flow Reports
It’s fast, works with multi-year reports, and exports to Excel/CSV. No AI hype—just real time saved.
Would love your feedback. I also wrote a breakdown of how it works under the hood (OCR + financial structure mapping) if anyone’s interested.

value: Show HN: I built a tool that extracts structured financial data from PDFs


value: jision

value:
Built this after getting tired of manually versioning prompts in production LLM apps. It uses git hooks to automatically version prompts with semantic versioning and lets you test uncommitted changes with :unstaged references.
Key features:
- Zero manual version management
- Test prompts before committing
- Works with any LLM framework
- pip install llmhq-promptops
The git integration means PATCH for content changes, MINOR for new variables, MAJOR for breaking changes - all automatic.
Would love feedback from anyone building with LLMs in production.

value: Show HN: PromptOps – Git-native prompt management for LLMs

author: jision


value: kris-kay

value:
There are lots of glassmorphism generators out there, but I wanted to push the effect further! This project is the result of months of experimenting with CSS property layering and battling browser quirks.
Cross-browser compatibility is actually the reason I rely on ::before and ::after pseudo-elements to build up the effect. Move the color/opacity to the main element, and you’ll get weird color bleed on the corners in Chrome. Move the texture, and it muddles the bevel’s specular highlight. Move the bevel, and it gets blurred out by the backdrop-filter. And so on!
Layers include:
* Adjustable blur, brightness, and saturation (backdrop-filter)
* Subtle translucent texture
* Faux 3D bevel (using box-shadows, not an outline)
Glassmorphism is rather heavy on resources, so it’s best used as an accent and avoided on wide desktop elements.
Should be compatible with recent versions of Chrome, Safari, and Firefox (desktop and mobile). If you spot bugs or rendering glitches, I’d love to know!
Side note: this is an early preview of a framework-agnostic glass SCSS/component library I’m building.

value: Show HN: CSS generator for a high-def glass effect

author: kris-kay


value: anaempromptu

value:
Hey HN! We're Empromptu.ai, an AI app builder that builds AI apps (RAG, models, evals all built in every app)
Demo: https://www.youtube.com/watch?v=w25XhUaPfls
We started Empromptu after burning through thousands of credits on AI builders and hitting the same problem: cool looking prototypes or demos that break with real users.
The issue wasn't the building process, it was accuracy. Most AI applications plateau at 60%~ reliability, which is fine for prototypes but it's unusable in production. We realized these tools aren't really "AI app builders", they're website builders that happen to use AI.
We wanted to solve the hardest problem first: making AI applications actually work reliably.
Our approach centers on what we call dynamic optimization. Instead of cramming every possible scenario into one massive prompt (which confuses LLMs), our system adapts contextually. A travel chatbot automatically knows to mention LAX for Los Angeles vs. Pearson for Toronto. This consistently delivers 90%~ accuracy versus the industry standard 60%~.
But accuracy alone wasn't enough because we also needed to solve the builder gap:
- Simple builders (Lovable, Bolt): Create static websites, not AI apps
- Complex ML tools: Require dedicated teams most startups don't have (Arize, Voxel51) - we've also heard from both technical and non-technical founders that they found these tools very complex
- What's missing: Tools that build applications where AI is embedded functionality
So we built AI agents with optimization built-in. Users just type what they want to build and our agents handle the full development pipeline: creating applications with embedded models, RAG and intelligent processing. You can deploy to your own infrastructure via Netlify, GitHub or download it directly since you can run it locally.
The result: Startups, solo hackers and enterprises can build production-ready AI apps without hiring a dedicated ML team.
Waitlist: https://empromptu.ai
We'd love feedback from the HN community — esp. if you've hit similar accuracy problems or thoughts on the technical approach.

value: Show HN: Empromptu.ai – Agentic AI Building Real AI Apps

author: anaempromptu


value: dgwelder

value: Lox is a parser and lexer generator for Go. Heavily inspired on ANTLR on the surface (combined parser and lexer, action code separated from grammar), but more similar to yacc on the internals (LR(1), dependency-free parser). I'm especially proud of the type-safe Go action generation where the reduce-artifact's Go type is determined by the user-action's return type, and then used to match and verify its use in other productions.

value: Show HN: I built a parser and lexer generator for Go

author: dgwelder


value: lmbrndev

value: Pingsy is an AI powered unified notification management app. You can integrate your tools that you use daily like Gmail, GitHub, Jira, Slack and you can easily manage your notifications in just one platform and tab. You can create fast AI replies, swipe left to dismiss, right to respond with Tinder style UI but instead for productivity. So that, you don't get lost or any headache when dealing with every notification.

value: Show HN: We built an AI powered unified notification management app

author: lmbrndev


value: ipogrjegiorejkf

value: Show HN: random data monster

author: ipogrjegiorejkf

title: Show HN: random data monster


value:
I made Palmalyze — an AI tool that reads your palm and gives a personality breakdown based on your hand lines.
It started from a random thought: "Why do people always ask AI about their future, but never show it their hand?"
So I built a fun little experiment. Upload a photo of your palm, and Palmalyze gives you a lighthearted reading based on traditional palmistry ideas — but interpreted through AI. It analyzes major lines like life, head, and heart, and turns them into personality insights in plain language.
Is it scientific? No.
Is it oddly reflective? Kind of spooky, yeah.
It’s just a fun mix of computer vision, storytelling, and curiosity — and surprisingly calming if you’ve been overthinking life lately.
Would love your thoughts on the experience, or ideas for what else you’d let AI "read" next.

value: Show HN: I made Palmalyze that reads your palm and reflects your personality


value: Fendy

value: Show HN: An open-source code indexing and search tool

author: Fendy


value: nicbvs

value: Show HN: Recreating Laravel Cloud's range input with native HTML

author: nicbvs


value: tnaaron

value:
OP here! We built Navoy after my co-founder spent 9 hours planning a 3-day trip to Lisbon.
How it works: https://www.youtube.com/watch?v=H9t9B0QNN_c&t=4s
Beta stats: 80 users, 350+ hours saved. Ask me anything!

value: Show HN: I built an AI travel planner that saved 80 people from spreadsheet hell

author: tnaaron


value: Show HN: Play Retro Games Online

title: Show HN: Play Retro Games Online


value: ThatGuySam

value: I always forget about one or 2 places when I upgrade my node version so I made a cheatsheet of all the places it can be set and where you can have it fall back to instead of setting it manually.

value: Show HN: Guide so you can clean up all your Node Versions

author: ThatGuySam


value:
Hi
We built [Mintly](https://usemintly.com) to make ad creation stupid simple. You pick an ad layout from brands like Gymshark or rhode, upload your product image, and it recreates the ad with your colors, logo, and product — no design skills needed.
I kinda got annoyed with how complicated or sucky some of these tools were + I live by two philosophies: keep it simple and steal what works. So we automated the entire process. Mintly now gets used by 500+ brands, and it takes ~60 seconds to go from product image → finished ad.
Would love to hear your feedback, questions, or suggestions. Happy to share how we built it, how we source top ad layouts, and what worked/didn’t work along the way.

value: Show HN: Mintly – Clone Ads from the Biggest Companies in the World


value:
TLDR: I made a community where you can find builders or product owners to collab on sideprojects together with <3
A year ago i completed my first sideproject, a digital course on how to "cold email a chief information security officer". I thought and think its a great course, but of course I fell into all the traps (didnt verify a need, i thought id make it and everyone would buy automatically), i tested google ads but hated nerding on that, so i decided to find a marketing person to partner up with! But i knew no one! That got me thinking how many people with relevant knowledge that isnt connected to others who need it, so i started gathering these people in an excel doc with what they know and then we created a slack channel for this etc! (fenomener.framer.website). Suddenly now we are 400 people sharing about our projects and collaborating! But if there is one thing ive been missing its "profile pages", that doesnt work well in slack. Id love to see an awesome project but then lurk a bit on who this person is before engaging in anything. so thats when we made the common decision of: what the heck, lets just build the thing we want.
So I partnered up with a fullstack (from the community!!!!!) and built relentlessly.no. we have like 50 users now and 17 projects and just finished our Minimum Lovable Product. Its not good enough yet and we are working on adding notifications and at least optimizing for first the product leader flow, then the builder flow. (we often get product leaders with a demo joining that are HUNGRY for devs, or we get builders hungry for anyone with an idea! its a god damn marketplace maybe!)
I actually think this might become 1000x more important than YC, because its place and time independant, and no one or no org has taken a place in the important space of sideprojects, where actually "everything begins". SIdeprojects sound so naive and not important, but after nerding on this a year i kinda see them as the most powerful thing we have. And this feels exactly as counter intuitive as a great idea should feel. So if we can let relentlessly resourceful people around the globe bump into each other, then the next gen of startups will be born here. Thats freaking meaningful stuff. And the hidden gem in all of this is something that didnt strike me before i had been working on it for a year: The point isnt to find someone to collab on your current sideproject. The whole value is the relationships that get formed. Because now after a year in this space then sideprojects have come and gone, but i have like 8 new "cofounder ready" relationships formed, where i actually trust them and "know" them and can build in the future with them. So i guess we are sortof solving "cofounder matching" without the akward "cofounder meetup night", or the slow "you HAVE to go to school with them for four years.
business wise this is my passion project for life I feel, and the ethical founder friendly direction im pursuing is just adding this on the site: "if you met your cofounder here, like the product and youre raising money with another confirmed investor: please invite me to your round <3"
I dont have money but maybe that will sort itself out, so this just makes me the worlds poorest investor with the most original investment product ever :D

value: Show HN: a community for collaborating on sideprojects


value: StratusBen

value: Show HN: Ec2instances.info has been re-written

author: StratusBen


value: Show HN: FlashPrompt – The Fastest Prompt Manager for ChatGPT, Claude, Gemini


value: aadityaubhat

value: Show HN: ChatTree POC for simple context engineering

author: aadityaubhat


value: Show HN: Serverless video processing with AWS Lambda


value:
Hey HN,
I’ve been building PlotSense — just launched it yesterday. It’s an AI movie search tool, but not the usual genre/actor filter stuff. This one’s different.
I always felt like the way we search for movies is broken. I never think in terms of “action” or “drama.” I think more like: “I want something that feels like a gut punch” or “a slow film that leaves me unsettled.”
So I built a search that actually gets that. You can type something like:
“Haunting and slow, makes me think about life and death”
“Warm and nostalgic but kinda sad too”
“Dark, stylish, and everyone feels a little off”
“Emotionally crushing but no one says anything out loud”
“A grounded underdog story that hits hard”
Try it at https://www.plotsense.ai
Please share your initial thoguhts.
- Does it grab your attention?
- Will you use it when you want to watch a movie?
- What else do you like to see in this?

value: Show HN: Find movies by vibe: Try: "A raw underdog story that hits your gut."


value: vincentyyy

value:
I've been building A01, a news app where you just describe what you want to follow, and AI pulls in relevant content for you from RSS feeds every hour.
Under the hood, it checks about 2,000 RSS feeds every hour, embeds the articles, and matches them to your prompt.
It’s been most useful for niche topics so far. Like following stablecoins but skipping the rest of crypto. Or tracking new AI startups without getting general AI news.
Here’s the TestFlight link: https://testflight.apple.com/join/bgPEKf3M
If that’s full, you can get a link through the site: https://www.a01ai.com
Would love to hear what you think.

value: Show HN: A news app where AI fetches RSS feeds based on your prompt

author: vincentyyy


value: nthdimension

value: Show HN: LuminaRoom, the AI-Powered Virtual Data Room

author: nthdimension


value: Show HN: Simple yet useful ERP for small business


value: morriskosign

value:
I built Kosign because I wanted peace of mind knowing that my family can recover my seed phrase in the event that something ever happened to me.
Using threshold cryptography (e.g. 2-of-5), Kosign creates an encrypted vault and splits the decryption key  into shares that can be printed on paper or loaded to USB drives and distributed across people or locations (e.g your spouse, lawyer, etc).
Open source unlock tool: github.com/xxbtc/kosign-unlock
Live app (no signup, works offline): kosign.xyz
Would appreciate any feedback.

value: Show HN: Kosign – Cold storage vaults with social recovery

author: morriskosign


value: Mesterniz

value: Show HN: Fine-Tuning AI Agents for Customer Support

author: Mesterniz


value: robgehring

value:
Hey everyone,
I recently built a lightweight Chrome extension called AI Voice Note Taker that lets you dictate notes directly in your browser - no extra apps or downloads needed.
What makes it different from others?
1. Real-Time Transcription with up to 98% accuracy (thanks to SpeechText.AI speech recognition technology)
2. Built-In Auto-Punctuation with On/Off Toggle
Automatically adds periods and question marks as you speak - but you can turn it off with a single click if you prefer raw transcripts.
3. Note History with Auto-Save
Every session is automatically saved and stored in a searchable dropdown. Accidentally closed the tab? Your notes are still there.
4. Support for 30+ Languages
You can switch input languages on the fly without reloading or reconfiguring anything — useful for multilingual users or teams.
5. Lightweight & Privacy-Friendly
Everything runs locally in your browser; your mic input isn't sent to third-party servers unnecessarily. It only connects for transcription when needed.
6. Custom Note Titles & Export Options
Assign titles to your notes for easier tracking. Download them as text files or just copy-paste into any editor or CMS.
Will be happy to hear your feedback!

value: Show HN: AI Voice Note Taker – Online Voice Typing

author: robgehring


value: mireklzicar

value:
I’ve built *Issue Duration Labeler*, a GitHub Action that automatically adds *color-coded duration labels* to every issue in a repo:
Default label thresholds:
Green – ≤ 7 days (configurable)
Orange – ≤ 30 days
Red – > 30 days
For open issues we compute “age” (creation → now). You can adjust the day thresholds and label colors in the workflow file, and choose whether labels update daily or only when they cross the next threshold.
*Why?*
I often lost track of how long tickets had been lingering, especially in older projects. A quick glance at the issue list or github project now tells us what’s fresh, what’s getting stale, and what’s officially ancient. It’s also handy for post-mortems: sort by red labels to see which bugs took the longest to close.
*Link*
https://github.com/marketplace/actions/issue-duration-labele...

value: Show HN: Issue Duration Labeler – a GitHub Action that labels issue by age

author: mireklzicar


value: talkiespendy

value: Hi HN — I'm Emerik, maker of *Talkie Spendy*, a mobile app that logs expenses by voice instead of typing. I kept abandoning budgeting tools because manual entry felt like homework, so I built something that records a purchase in under five seconds.<p>*How it works:* tap once, say “4 dollars 50 coffee at Starbucks.” Audio is sent to the ElevenLabs speech-to-text API for transcription, then a lightweight OpenAI prompt extracts amount, merchant and category. Only that JSON (with the original timezone) syncs to Supabase. Everything’s built in FlutterFlow, with instant charts and CSV export.<p>*Stack:* FlutterFlow · Supabase Postgres + Edge Functions · ElevenLabs STT (cloud API) · OpenAI LLM.<p>*Looking for feedback:* overall user experience—what’s confusing, missing, or could boost retention? I’d love any thoughts on making voice budgeting genuinely useful.<p>Thanks for checking it out!

value: Show HN: Talkie Spendy – voice-first expense tracker

author: talkiespendy


value: sarahoh

value:
Qrblox is an app that reads the website behind the QR code and chats with you. QR codes could do more to connect businesses and users so I have a history view, notifications, and feeds to send updates. I'd like to add call backs and voice AI for small businesses.
Roast my app? There are dozens of QR code apps, do you just use the native camera or use a QR code app currently? Storing local codes for privacy makes sense, but when you want to stay connected I thought a cloud-based app would be helpful.
Just launched on the Apple app store: https://apps.apple.com/app/apple-store/id6737632062?pt=12727...

value: Show HN: Qrblox – AI Chat with QR Codes

author: sarahoh

title: Show HN: Qrblox – AI Chat with QR Codes


value: bentocorp

value:
Hey HN, I’ve been working on developing my ad blocker for the last number of years and am proud to share that I have now released a new feature that blocks ads directly in apps — not just in a web browser.
What makes this app ad blocker feature special?
- All ad blocking is done directly on device,
- Using a fast, efficient Swift-based architecture (based upon Swift-NIO)
- Follows a strict ZERO data collection and logging policy
- Blocks ads in all apps on iPhones, iPads and Macs
It works as a local VPN proxy, so it filters all of your traffic locally without going through any third-party servers. The app ad blocker works across News apps, Social media, Games and even browsers like Chrome and Firefox.
After using ad blocking in Safari for a long time, it is eye-opening how many ads and trackers are also embedded in apps themselves. The app is available via the App Store, with a 30 day free trial, before an annual subscription is required.
I know there are many other ad blockers available, but I hope the combination of performance, efficiency and respect for privacy will mean that this particular feature is a valuable option.
It also took a LOT of work to get this working seamlessly within the App Store and iOS / macOS limitations, so am glad the app has been able to finally be released into the world.
Full details on the feature are in the release post:
https://www.magiclasso.co/insights/app-ad-blocking/

value: Show HN: I created a privacy respecting ad blocker for apps

author: bentocorp


value: An experimental, local-first open source chat interface for LLMs, easy to run and modify locally.

value: Show HN: Bubble UI] – open-source LLM UI"


value: Graxi

value: Recently I'm working on CopyUI which is an extension to copy UI element from websites and export html(or jsx) and css(or tailwind). I'm building this tool in order to create better landing pages because I'm really not good at layout and colors. So I hope to learn from others' design and innovate later, not to simply replicate.

value: Show HN: I made a Chrome extension to export web element to code

author: Graxi


value: elgertam

value: I'm terrible at naming things, so I ask Claude & ChatGPT to help me make domain names. Unfortunately, the chatbots lack the tools to query Whois or RDAP, and instead use web search. This has a lot of false negatives & could even risks certain less ethical registrars front-running the queried names if they don't exist.<p>Thus I fired up Replit and guided it to a working model context protocol (MCP) server that can query for domain names using RDAP and Whois. I built caching in to be respectful of the servers. It works and has really sped up my ability to find good domains

value: Show HN: I made an MCP Server to check whether domains are available

author: elgertam


value: misbahsy

value:
So I’ve been wanting to build this goofy but oddly satisfying app for a while — and I finally did it. It’s called GenZ AI.
Here’s the idea:
You speak into your mic → it clones your voice → rewrites what you said into Gen Z (or Gen Alpha or whatever flavor you want) → and then speaks it back in your own voice.
Yep. That’s it. You say something like:
“I’m working on a cool side project.”
And it comes back with your voice saying:
“Lowkey building this fire side hustle, no cap.”
Why? Mostly for fun.

value: Show HN: GenZ AI – Your Voice, but Fluent in Gen Z

author: misbahsy


value: gregorvand

value:
Gregor here, co-founder of Wyntk.ai - ~What You Need To Know dot ai~
Disclaimer - we started work on this in earnest in February and even back then it started to look a lot like what the article presented. Someone at Figma can maybe help back us up here if needed(!)
Pete Koomen's take on it really helped validate the problem space, and we don't pretend to have solved this to the level of his demo (yet). However we're pretty stoked with how our multi-account, natural language prioritization approach is taking shape.
This first step is a read-only, triage UI for all of your Google-based accounts. We hope to add smart draft replies soon that you can adjust to suit.
If you use a +hn alias when you sign up, I'll make sure to prioritize you on the waitlist (you can change which Google-based email you actually onboard at that stage, not locked on waitlist).
We're in live alpha with a decent chunk of users that have helped stress test a few areas, so this is by no means day zero.
Privacy - We don't store any emails (we use local caching on your device to keep things performant) nor do we do any weird stuff like hiding messages in your Gmail (unlike other platforms tackling this space). CASA Tier 2 third-party audited.
All feedback welcome. Thank you!

value: Show HN: Wyntk.ai – anti horseless carriage email

author: gregorvand


value:
Hi HN,
I'm a solo developer and recently released Piskvor Prime, a five-in-a-row game for iOS. This started as a side project to experiment with a simple board game AI that I ended up wrapping into a complete game.
Your opponent is a glitchy robot that reacts to your moves — taunting, hesitating, and reveals bits of internal lore as you play. It is not unbeatable, but it has a bit of personality based on lots of text generated with LLMs.
I wrote a short devlog about the process here: https://vojtahavlicek.github.io/vojtanyc/posts/piskvor_prime...
and would love to hear your feedback!
Thanks,
Vojta

value: Show HN: Piskvor Prime: a five-in-a-row iOS game with a reactive AI opponent


value: Show HN: I made a social media platform

title: Show HN: I made a social media platform


value:
Hey - I'm one of the developers working on Calendia, a mobile app which helps you keep track of all the media that you're interested in and receive notifications about releases.
Current features:
1. Follow movies, TV shows, music artists, video games, books, actors, and authors.
2. Calendar list view, which contains all upcoming and previously released media that you follow. For instance, if you follow an author, you'll see all their books on this feed. If you follow a TV show, you'll see all the episodes!
3. Push notifications when content you follow is announced or released. You can also configure which types of media you receive notifications for.
4. Home screen containing upcoming and trending movies, TV shows, video games, books, albums, and artists.
5. Import artists from your Apple Music library and public Spotify playlists.
Let us know if you have any feedback! Happy to answer any questions as well :)

value: Show HN: Track your favorite music, movies, shows, games, books and more


value: retroviber

value: DeepMarketScan tracks unusual market activity, insider moves, options flow, sentiment, technical and news.

value: Show HN: DeepMarketScan: Counter Trade Retail Traders

author: retroviber


value: hadfamily

value: Show HN: Clippingmini – A minimalist tool to organize and tag web clippings

author: hadfamily


value: whitefang

value:
At Formester were facing a problem. Our 50% plus time was going into customer support.
And the question were mostly about how to do something in the app. Which we have already documented well through videos, blogs and documentation.
I created Chakam for this purpose. We are starting to use it internally and also looking for other medium to large organization would could benefit from it.
Key features:
- Run on your own/dedicated infrastructure
- Use popular LLM or self hosted LLM
- Integrates with popular chat application in case you want to use directly in intercom etc
- Gives you a report every month on the gaps in your knowledge base
I'm looking to show you what I've built and understand if it can benefit your business.

value: Show HN: I made a tool to reduce customer support time by 50%

author: whitefang


value: nodesocket

value: Show HN: Cryptr – A simple shell utility for encrypting and decrypting files

author: nodesocket


value: rdoyle

value:
https://conferencedatabase.com
*What it is*
A searchable database of ~12 k tech & business conferences with:
• Full sponsor lists + tier + $ when public
• Quick links to each sponsor’s partnerships/contact person
• Filters by category, dates, city radius, ticket price, etc.
• Fresh data: I scrape more and more event pages daily
*Tech*
Next.js + Supabase (Postgres, RLS)
Python scrapers (Playwright + GPT-4o for messy HTML → JSON)
Thanks! – Ryan

value: Show HN: ConferenceDatabase – find who sponsors any tech event

author: rdoyle


value: AlexandruGlv

value: Show HN: Rails Blocks – 120+ UI Components for Ruby on Rails

author: AlexandruGlv


value: hapJam

value: Show HN: Gothic Text Generator

author: hapJam

title: Show HN: Gothic Text Generator


value: felipap

value:
Hey HN!
Nudge captures your screen every minute and uses GPT-4o to detect when you're distracted. Describe what you want to work on ("Review PRs on GitHub for 20min") and Nudge will alert when it sees you doing something else.
I built Nudge because I get easily distracted at work. I've been using it for a few weeks and I'd say my procrastination is down 20-30%. (That's partly because Nudge forces me to break my day into small, concrete activities.)
The AI detection can work perfectly but it depends on how clearly you describe your goal. For example, "I want to reply to my boss" is bad, but "I want to write a reply on Gmail" is good. It definitely helps to have some intuition of how LLMs behave. (Check out the system prompt here: https://github.com/felipap/nudge/blob/main/src/lib/ai/assess...)
Screenshots are very sensitive data so I decided to make this open-source and BYOM ("bring your own model"). Today you need to provide your own OpenAI API Key. I realize not everybody has one and it would be great to support other AI backends soon.
I'm excited to share this project and would love feedback on how well it works (both AI accuracy and user experience). Thanks for reading!

value: Show HN: Nudge – AI for macOS that detects procrastination via screenshots

author: felipap


value: Show HN: Side Space – An Arc-like AI-powered Vertical tabs manager for Chrome


value: jpwahle

value:
We built MALLM because existing multi-agent-debate (MAD) toolkits often do not give full control of all parts of a multi-agent discussion. MALLM lets you mix and match every moving part:
1. Personas (expert / personality / …)
2. Response generators (critical / reasoning styles / …)
3. Discussion paradigms (memory / relay / …)
4. Decision protocols (voting / consensus / …)
We got 144+ configurations out of the box, all defined in one YAML file. Need more? Sub-class and drop your own component in.
You can also use any text-based HuggingFace dataset (we’ve tested on MMLU-Pro, WinoGrande, …); we have built-in evaluation pipelines so you can A/B test strategies without writing extra scripts, and it is easily customizable (pure Python) and Apache 2.0-licensed.
Repo: https://github.com/Multi-Agent-LLMs/mallm
Demo: https://mallm.gipplab.org/

value: Show HN: MALLM – A Multi-Agent Framework for Task Solving

author: jpwahle


value: nikoladinevski

value:
Hey HN! I’m Nikola, and I’m excited to share something I’ve been building: Thoth, a platform designed to help developers improve their typing speed and accuracy with real code snippets. Including daily challenges, ranked mode, global leaderboards and lots of customizability.
Whether you're a beginner learning your first language or an experienced coder aiming to stay sharp, Thoth is here to help. If you’re like me, you spend hours coding every day, and typing quickly and accurately makes a huge difference. But the existing typing tools didn’t feel like they were tailored for developers, so I decided to make one that was. Thoth uses real code snippets and makes typing practice feel just like real coding.
Practice with real code from 9+ languages like JS, Python, Java, Go, TypeScript, and more. Compete globally with daily challenges and see where you rank on the leaderboards. Monitor your improvement in real-time, get detailed feedback on speed, accuracy, and see your stats evolve over time. Thoth is 100% free, no paywalls, just a passion project built by me, Nikola, to help you become a faster coder!
You can get started here: https://thoth.rocks
Thanks for checking it out, and I’d love to hear your thoughts and feedback!
Happy typing!

value: Show HN: Thoth, a Developer Typing Platform

author: nikoladinevski


value: Show HN: Use DeepResearch with any LLM and search engine in an NPM package


value: smoothdev-bp

value:
I'm the founder of Smoothdev.io, and I wanted to share a tool I've been working on.
If you're like me, you know that writing good Git commit messages is important, but it's often a tedious step that breaks your flow. I found myself writing quick, unhelpful messages like "wip" or "fixes" just to get things done, which made my Git history a mess to look back on later.
To solve this for myself, I built Smoothdev.io. A core goal from the start was to create something that seamlessly integrates into a developer's existing workflow, not add another process. That's why it's a simple CLI tool that analyzes your staged changes (git diff) and uses that context to generate a conventional commit message for you. It helps maintain a clean, understandable version history without forcing you to change your habits.
The CLI for commit message generation is our first release. To get some early feedback, I'm offering an extended 30-day free trial so you can try it out without any commitment.
You can get the trial here: https://smoothdev.io
While the commit generation tool is what's available today, it's the first step in a much larger plan. Our long-term goal is to automate software engineering documentation across the entire development lifecycle—from capturing product requirements and design decisions before the first git commit all the way up the stack to generating final end-user documentation.
I'm looking forward to hearing what you think!

value: Show HN: Smoothdev.io – AI Commit Message Generation for Developers

author: smoothdev-bp


value: aswinsil

value:
Hey HN,
I built ScanCX - it shows hidden trust issues of any e-com store. Friction points that might be turning potential buyers/repeat buyers away.
It’s different from the usual speed or SEO tools - this one thinks like a customer. Average e-com conversion rate is 2-3%. That's a huge 97% potential buyers that didn't like something even though the products are great. That's why I build this tool to make stores more customer friendly and trustworthy to get more sales from the same traffic/marketing spend.
If you're curious what might be quietly hurting conversions, give any store website a quick scan.
Would love to know what you think!
– Aswin

value: Show HN: Why not more sales from the same traffic?

author: aswinsil


value: Fendy

value: Show HN: VDBbench 1.0: open-source benchmarking for VectorDBs

author: Fendy


value: Show HN: Managing VectorDB via Natural Language


value: chase-manning

value:
Open Dog Registry is a public JSON API that returns detailed data for 200+ dog breeds.
• Website: https://registry.dog/
• One-call endpoint: https://registry.dog/api/v1
• Returns general info, personality traits, care stats, plus indoor/outdoor/studio images
• MIT-licensed, zero auth, free for personal or commercial use
• Cache-friendly: please cache where possible to keep the service fast
• Built with TypeScript, hosted on Cloudflare Workers (cold start ≈15 ms)
I built it to simplify pet-finder projects and vet apps that need structured breed data.
Feedback, pull requests, and GitHub stars are welcome!
Repo: https://github.com/chase-manning/open-dog-registry

value: Show HN: Open Dog Registry – free, open-source API for 200 dog breeds

author: chase-manning


value: MLJV

value:
Do you have lists scattered all over your phone? Are you tired of saving recipes, books or restaurants in Notes, screenshots or Whatsapp groups?
Listee is the bookmark tool to privately save and structure the things you love. Never lose track anymore of the places you loved, movies you wish to see or shoes you want to buy. Save any content in seconds using the share function on your phone or the search engine within Listee. Connect with your friends to share your favourites or create lists together.
Listee is the new way to save, share and explore with the ones you love and trust. Also for your wish lists!

value: Show HN: Bookmark and organise your mobile links with ease with this free app

author: MLJV


value: AleksDoesCode

value:
Hi HN, I’m Aleksandar (founder @ The CodeCave GmbH).
I built GPT Watermark-Remover because I needed a fast, private way to clean AI-generated artifacts out of my drafts.
What it does
Detects zero-width spaces, soft-hyphens and other invisible AI watermarks in text (up to 2 000 chars) entirely client-side
Highlights all found markers and removes them with one click
Lets you copy the cleaned text instantly
Free tier available; premium plan adds higher char limits via Stripe
Tech stack
React & Next.js (SSR, code-splitting, minimal bundle)
Tailwind CSS (light/dark mode, flat minimal UI)
Supabase for anonymous session management & analytics
Stripe for seamless subscription & token top-ups
Why client-side?
All watermark detection runs in your browser—no external APIs, no text storage, full privacy.
Live demo: https://gpt-watermark-remover.com
I’d love feedback on edge cases, feature requests or integration ideas—please share your thoughts!

value: Show HN: GPT Watermark-Remover React/Next.js tool to strip hidden AI watermarks

author: AleksDoesCode


value: WilcoKruijer

value:
Hi HN, these last couple of weeks I've been building 'Recivo', a simple way to receive emails programmatically. There are plenty of API-based services that can be used to send emails, but receiving them is harder.
As a Recivo user, you create a new email address which will then immediately be available for receiving emails. A REST `/inbox` endpoint is exposed for retrieving these emails, this includes all data you would expect: subject, content, sender, and most importantly: attachments. You can also get notified of newly received emails using webhooks.
The main use-cases I'm thinking of right now is triggering AI agents using email or a very simple document upload flow to any SaaS (just forward an email to the SaaS). This is actually where the inspiration for Recivo came from, I really enjoy the flow of getting an invoice in my mailbox and forwarding it to my accounting software and then seeing it appear in the app. The agentic use-case seems promising, especially for workflows that still require a human in the loop. Asynchronous communication with an AI agent feels natural to me.
When you visit the landing page you're immediately given a randomly generated email address and a cURL command to try the API. Of course these demo addresses will expire, so you'll have to log in to create a non-randomized and permanent address.
I'm wondering if you see any other use cases for a "programmatic" mailbox. Please let me know what you think!

value: Show HN: Recivo – Receive Emails Programmatically

author: WilcoKruijer


value: GeorgeHaldane

value:
Hello HN.
There is no shortage of excellent JSON libraries out there, so initially this one was built mostly out of curiosity for writing parsers.
JSON proved to be a quite pleasant format to work with so eventually this project evolved into a proper feature complete lib with an API quite similar to nlohmann_json, but much better performance (~2x-5x depending on the workload) and a very concise codebase (single header ~1k L.O.C., slightly larger than picojson), in short:

  - Concise single-header JSON lib
  - All JSON types map to std:: containers
  - Performance better than nlohmann_json / picojson, some metrics even beat RapidJSON
  - Supports reflection
  - Supports conversions for custom containers

The lib itself was mostly completed a few months ago, but now that it has proper CMake and CI tests different platforms I feel it is appropriate to post it here. Would love to hear some feedback on the design.
https://github.com/DmitriBogdanov/UTL/blob/master/docs/modul...

value: Show HN: Yet another JSON lib (C++17)

author: GeorgeHaldane

title: Show HN: Yet another JSON lib (C++17)


value:
Hi HN
I built GitSlice, a fast CLI tool that lets you extract just a folder or file from a GitHub repo — without cloning the whole thing.
It uses sparse-checkout under the hood and resolves GitHub URLs automatically. Useful for grabbing only what you need from giant monorepos.
Example:
gitslice https://github.com/05sanjaykumar/Flappy-Bird-OpenCV/blob/mai...
Supports folders and files
 Auto-detects branches
 CLI only, no GUI fluff
 Fully open-source
Repo: https://github.com/05sanjaykumar/gitslice
Let me know what you think or where it could be better.

value: Show HN: GitSlice – Extract folders or files from GitHub using CLI


value: albertkag

value: Show HN: I created a Chrome extension Authenticator app for 2FA

author: albertkag


value: virusyu

value: Create this site for those person need to get a good name but without thoughts.

value: Show HN: Instagram Username Generator

author: virusyu

title: Show HN: Instagram Username Generator


value: lukabrzin

value: Show HN: I made a kink-friendly BDSM task and punishment generator

author: lukabrzin


value:
https://www.joytrip.dev
- Secured data. All data is in a cryptographically signed ledger. Only share data with those you you give access to.
- Plan together. Share itineraries, expenses, and coordinate seamlessly.

value: Show HN: Joy Trip – a local-first trip planner


value: AmuXhantini

value:
Social media funded by users, not advertisers. No ads, no algorithmic manipulation.
$2/month gets you a platform where you control your feed and your data stays private.
Simple premise: make users the customers, not the product. We think people are ready to pay for authentic social networking.
Live now. Try it out and let us know what you think.

value: Show HN: Peer. – The First Subscription-Based Social Network

author: AmuXhantini


value: amberhaccou

value:
Hi HN,
I’m Amber, product designer, founder and someone who’s tried pretty much every productivity app out there. I always loved setting goals, but I kept getting frustrated by how disconnected everything felt. Long-term goals lived in Notion, habits were in a habit app, daily tasks in another and I constantly lost sight of the bigger picture.
So I decided to build something I wished existed: Griply - a goal planner that connects your vision, goals, habits, and tasks into one system.
We started as a native iOS app and later added Mac, Windows, and Web. After getting lots of feedback from users (many switching over from Things 3 or Todoist) that they were doing their real planning on desktop, we decided to make a bit of a pivot and put all our focus on the desktop app. That led to our biggest update yet.
We built Griply 3.0: Calendar, Goal Roadmap, and Time Blocking in just ~6 weeks (I love working in a small passionate team!).
---
I know there are A LOT of productivity tools out there and I’ve used them all. The difference is that Griply is completely goal-oriented.
Everything is organized around your life areas (like health, career, relationships, etc.), and your long-term vision is connected to your actual day-to-day actions.
It all starts with why (for the Simon Sinek lovers ;)) - why you want to do what you do each day. Griply helps you keep that perspective while tracking measurable progress on what really matters.
The structure looks like this:
life areas → vision → goals → habits/tasks → calendar/daily planner
---
What’s new in 3.0:
- Goal Roadmap: Plan goals across months or years
- Time Blocking: Schedule time for goals and life areas, not just tasks
- Built-in Calendar: With Google Calendar integration (working on Outlook and iCal)
- Daily Planner: Organize your day around what matters most
- Fully redesigned Desktop App for Mac, Windows & Web
---
You can explore the app for free and on the v3 launch page there’s a video where I go over all the details of the new version: https://griply.app/v3
We’re fully bootstrapped and have been building this with real users from day one. Would love any (honest) thoughts, feedback, or critiques.
Thanks so much!

value: Show HN: A goal-oriented task manager (alternative to Todoist/Things)

author: amberhaccou


value: ddoemonn

value: Show HN: Next-blog – Self-hosted blog platform with no database required

author: ddoemonn


value: Show HN: faster FLUX and SD – open-source optimization for image-generation


value:
TLDR: Build a quick HN profile to see how little context LLMs need to personalise your feed. Rate 30 posts once, get a permanent ranked homepage you can return to.
Our goal was to build a tool that allowed us to test a range of "personal contexts" on a very focused everyday use case for us, reading HN!
We are exploring use of personal context with LLMs, specifically what kind of data, how much, and with how much additional effort on the user’s part was needed to get decent results. The test tool was a bit of fun on its own so we re-skinned it and decided to post it here.
First time posting anything on HN but folks at work encouraged me to drop a link. Keen on feedback or other interesting projects thinking about bootstrapping personal context for LLM workflows!

value: Show HN: HomeBrew HN – Generate personal context for content ranking


value: brianhama

value: Show HN: Palo Alto Realtime Police Incidents with Radio Traffic

author: brianhama


value: MajorBaguette

value: Show HN: AI Agents That Work as Hard as You Do

author: MajorBaguette


value: Show HN: I made AI palm reading to know more about your future


value: dskhatri

value:
I authored and developed an interactive fiction book in Emacs using Org mode and Twinery. Read an entire storyline/adventure of the Web Book, no login required here:
https://tendollaradventure.com/sample/
---
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 developed another nifty feature that lets readers of the physical book access an online dashboard of achievements anonymously using secret "magic words" in lieu of requiring personal information. 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: An interactive kids' book written in Emacs Org Mode

author: dskhatri


value: aaronjmars

value: built this, its a way to link your browser context to an MCP server you can leverage it to do anything, including testing, summarizing what you did yesterday, posting autonomously on HN & more happy to hear your feedbacks

value: Show HN: Use Dia on Chrome or Arc

author: aaronjmars

title: Show HN: Use Dia on Chrome or Arc


value: zham-dev

value: We built ChatAvatars.ai to solve a problem we saw in our own teams: while powerful, general-purpose AI often lacks the specific context and personality needed for business use. The advice was generic, and there was no way to ensure everyone on the team was getting consistent, company-aligned answers.<p>Our solution is "Avatars"—customizable AI agents that your entire organization can share. What makes ChatAvatars.ai unique is the ability to combine custom prompts, fine-tuned model settings, and your own PDF documents to create specialized AI personas. Imagine a "Support Bot" trained on your technical docs or a "Sales Assistant" that knows your product inside and out.

value: Show HN: Chatavatars.ai – Collaborative AI Avatars for Teams

author: zham-dev


value: codyad

value:
Hi HN,
Why
I got tired of wasting time typing the same instructions to an LLM. "Proofread this," "Summarize that," "Translate this."
What
I built System Prompt: a free, open-source tool to create reusable AI workflows. It runs 100% in your browser, so your data and API keys stay with you.
How
Instead of always retyping "Proofread this text and correct it in a professional tone...", you create a reusable workflow in a 2 clicks.
It's a node-based editor where you can add prompt nodes, AI nodes (for any model), and connect them. Everything is saved locally in your browser.
GitHub: https://github.com/codyadam/system-prompt
I'd love to get your feedback.

value: Show HN: I built a tool to stop repeating myself to LLMs

author: codyad


value: roelbondoc

value:
I’ve built a few small Rails apps over the years as hobby projects. I was interested in selling them as one-time-purchase, self-hosted products, similar Campfire and Writebook.
To make that easier, I built a tool called Discode. It handles packaging, licensing, and installation. I’m also using it to sell Discode itself.
If you’ve ever built a Rails app and wondered how to turn it into a downloadable/sellable product, this might be useful.
I recorded two short videos that show how it works:
Installing Discode: https://www.youtube.com/watch?v=N0ZxADS3SpQ
Selling a Rails app with Discode: https://www.youtube.com/watch?v=t2D8ZmOMNEM
Would appreciate any feedback. Happy to answer questions!

value: Show HN: I made a tool to help turn Rails apps into Once-like apps and sell them

author: roelbondoc


value: ss-s

value:
As a new grad who is on linkedin 24/7 trying to land a job, my jobs feed is 90% garbage from bots + spammy fake companies where many of them spam over 100 irrelevant roles every hour.  It felt like my job feed was being hijacked and also was taking so much of my time.
So I built Blockedin, a simple Chrome extension that helps you take back control of your LinkedIn job feed. One click blocks the spammy company responsible, and their listings disappear from your jobs feed – permanently.
How it works:
Whenever you come across a company you don’t want to see in your linkedin jobs feed - Click the “Block” button next to their name.
The extension remembers and hides their future job posts automatically.
No signups, no emails. No data collected. Everything is local. Just install and use.
Currently 75 people use it daily and a few give me feedback every now & then.
Try it out here:
Chrome Extension - https://chromewebstore.google.com/detail/blockedin/akngiligi...
This is still an early version, and I’d love feedback. What would make this more useful for your job search? What’s missing? What’s broken?
Thanks for taking a look!

value: Show HN: I made a tool to block LinkedIn job spams

author: ss-s


value:
Hey HN,
I made https://strooptest.run, a super simple Stroop test you can try in under a minute.
No ads, no sign-up, just a clean way to test your brain’s reaction time and focus.
Would love feedback or ideas for what to add next!

value: Show HN: Strooptest.run – a dead-simple, browser-only Stroop Test


value: ignaciovdk

value:
Hi HN,
I’ve been working on Perinola, an open-source, lightweight framework for team collaboration based on a playful Latin American spinning top game. It introduces rotating roles (called “spins”) like Take One, Put One, or Take All, designed to distribute ownership, encourage learning, and keep team dynamics fresh without heavy processes.
It’s ideal for:
 • Tech teams tired of rigid agile setups
 • Startups needing flexible structure
 • Product squads looking to rotate leadership and learning
Each “spin” corresponds to a responsibility for a given cycle (usually 1–2 weeks). It’s meant to be simple, fun, and adaptable — something you can try without changing your entire stack.
You can read the full framework and implementation guide here:
 https://perinola.org

value: Show HN: Perinola – A lightweight, rotating responsibility framework for teams

author: ignaciovdk


value:
Hey HN community!
We just launched our v0/mvp of Nucleus. an AI-powered data analyst designed to feel like a teammate, not a tool.
Most AI products in the BI space today still require some SQL/technical knowhow...an input/output that isn't purpose built for non-technical users. We decided to try and solve one of the root problems and go down a different path. Nucleus lets non-technical teammates ask questions, and engage directly with natural language, allowing them to get live insights from your database. This means that there is no setup, no dashboard building, no more endless dev request tickets!
Why we built it: We got tired of being the “can you pull/query xyz data for me?” team. BI tools were designed for analysts, rev ops, and engineers, but most teammates just want answers, and fast. Nucleus helps them explore metrics, create lightweight dashboards, forecast (if enough data exists), and share insights without needing to touch a bit of SQL.
How it works: - One-click data connection (PostgreSQL for now...let us know what else you want us to support) - Natural language prompting/conversations (Nucleus will ask followup questions so your non-technical teammates are thinking deeper) - Get back a live metric, chart, or insight...then turn it into a dashboard - Save it, share it, or keep exploring!
No modeling layer, no dbt required. Just answers and insights.
Who it's for: - Founders and business operators - PMs, marketers, and growth teams - Solo builders who want clarity without overhead
We’re in early access right now and would love feedback from the HN community. Try it free (no credit card): https://www.getnucleus.ai/ Tap > "Get Started"
Would love to hear: - What feels useful vs over-engineered vs needs more attention? - How you’d want to integrate this into your existing stack - Where we should go next?
Thanks for checking it out!! – The Nucleus Team

value: Show HN: Nucleus (v0) – The AI data analyst built like a teammate


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How it works:
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- Vote counts are hidden
- One daily winner gets the homepage
It’s like Product Hunt but stripped down to its weirdest form — no algorithm, no social feed, just vibes.
Built it to give experimental or niche projects a spotlight without the noise of traditional launch platforms.
Would love feedback (especially on voting, pacing, or launch flow).

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Built a small Flutter app called HeartLens that turns your iPhone into a pocket health kit: take a picture of your blood pressure monitor a BP reading, snap your meal for calories & macros, and quick-log water and weight. Everything syncs to Firestore (and Apple Health if you enable it) so your history’s backed up and shareable across devices.
It’s live on the iOS App Store (https://apps.apple.com/us/app/heartlens-bp-tracker/id6747299...). Would love feedback—accuracy vs a real cuff, food-detection fails, UI nitpicks, feature requests, anything. Cheers!

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I built RingtoneSmartKit – an open-source Kotlin library for managing Android ringtones in a simple and reliable way.
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Had a vendor ask for logs from our Kubernetes cluster today. We don't run any log aggregation (no fluentd/fluentbit) except DataDog, so I needed to grab logs from 30+ deployments across three namespaces.
Instead of running kubectl logs for each deployment manually, I built this Python CLI that collects all deployment logs from a namespace in one shot. It organizes them by date and namespace, runs collections in parallel, and handles the usual k8s edge cases (multiple pods per deployment, failed pods, etc).
Usage is simple: klogger collect -n production
Nothing groundbreaking, but it saved me hours of manual work and might help others in similar situations. It's basically a kubectl wrapper that does one thing well - bulk log collection when you need it.
GitHub: https://github.com/christensen143/klogger

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