value: marcomuser

value:
I built Conformal to solve two major pain points in form handling in TypeScript.
First, it provides strongly typed FormData parsing, turning native FormData into fully typed objects with TypeScript inference, including nested objects and arrays.
Second, it provides a canonical submission flow: a single Submission object that preserves raw input, separates field and form errors, and standardizes success and error states.
Conformal implements Standard Schema (works with Zod, Valibot, etc.), is framework-agnostic, and is all you need to handle form submissions. It also exposes the primitives needed to build framework-specific higher-level form libraries.
Simple demo with React 19, useActionState, and Zod on StackBlitz:
https://stackblitz.com/github/marcomuser/conformal/tree/main...
Repo:
https://github.com/marcomuser/conformal
I’d be happy to hear any feedback or input on the library!

value: Show HN: Conformal – Type-safe FormData parsing and canonical submission flow

author: marcomuser


value: Show HN: grepO: A grep that can consult LLMs and other black-box binaries


value: pobbypablo

value: Show HN: PogiFit: Macros and Workout Tracker

author: pobbypablo


value: explosion-s

value: Show HN: Local, extensible and fast macOS transcription app

author: explosion-s


value: jakehandy

value:
Yo! Messed around this weekend with creating a good interface for nano banana (which I think is the best image editing model out there at the moment, and Google's product interfaces leave a lot to be desired).
Use code MOCKMIKELOVESHN for a free month of the Starter membership if you wanna mess around with it.
Cheers!

value: Show HN: Merch Mock – instant mockups for merch

author: jakehandy


value: nischalb

value:
We built Blink AI to keep your social accounts active without the daily grind.
- Spin up an AI agent that learns from your docs or sites and writes in your voice
- Generate & schedule posts for X and LinkedIn (fully autonomous or approval-first)
- Our Dashboard surfaces real-time trends and news
- See what works with built-in analytics
- (Coming soon) Browser extension that lets you react to any content across the web—in your own voice<p>Looking for feedback on the core workflow and gaps you’d want filled

value: Show HN: Blink AI – Launch social media agents for X and LinkedIn

author: nischalb


value:
Hi HN,
We built NexChat, a messaging app where you can chat not only with people but also with AI agents. The idea is to make AI feel as accessible as messaging your friends.
What’s different:
No personal data required – sign up without email or phone number
Cross-platform – available on Android and iOS
AI ecosystem – anyone can build and submit agents
Mixed conversations – invite AI agents into user-to-user chats
No-code support – create agents using tools like n8n and submit them via the developer portal
My motivation: while working on my other startup (a recruitment automation platform), I realized AI allowed me to effectively build two products in parallel. NexChat is my attempt to give that same leverage to everyone: entrepreneurs, teams, or just anyone curious about AI.
I’d love feedback from HN:
Does combining human and AI messaging in one place feel useful or distracting?
What would make it valuable enough for you to try regularly?
For developers: what features would encourage you to build and submit agents to the platform?
Android: https://play.google.com/store/apps/details?id=app.nexchat
 iOS: https://apps.apple.com/us/app/nexchat-connect-differently/id...
Thanks for checking it out!

value: Show HN: NexChat – A messaging app for humans and AI agents


value: jmkni

value:
Thought I would share this after seeing a similar post about a guy who posted his as a Windows XP clone, which I though was cool
Going for that campy early-internet aesthetic, the kinds of sites I used to make on Geocities as a kid, but it's fully responsive, accessible and had a near perfect Lighthouse score as well as a strong SSL security posture etc
Just don't press THAT button (can you figure out my password?)

value: Show HN: My portfolio in the style of a campy early-internet Geocities site

author: jmkni


value: olivato

value:
I built a privacy-first app for tracking a very personal habit, after a long weekend how much I produced.
What it does:
- 100% local storage (nothing leaves your device)
- No logins, no cloud, no ads
- Simple stats and history visualization
- Works offline
Why:
I wanted a lightweight, private solution where I can track this stat easily
Demo:
https://cum.plano-b.site
Any ideas for features?
Thanks!

value: Show HN: Cumliters – Tracking lifes private metric

author: olivato


value: minimaxir

value: Google's Gemini API is a little more difficult to work with, so I wrote a lightweight wrapper around it to make it easier to generate/edit images programmatically with Nano Banana/Gemini 2.5 Flash Image.<p>I also included a number of Notebook examples and some observations on how the model works.

value: Show HN: Python package to easily generate and edit images with Nano Banana

author: minimaxir


value:
After trying to find a ui Library which works which works well with Expo and react native web. I decided to create my own.
Cross platform: iOS, Andriod, and the web with Windows and macOS support on the way.
Our components are accessible on Native and the web. To achieve web accesibility we use react-aria
This is what differentiates us even beyond shadcn/ui! Our components include extra variants so you can adjust error, loading, borderRadius, and style without writing any extra tailwind.
Storybook: We have included a storybook to let you play with all the variants.
Tested: We write unit tests for all the components to ensure they are working as expected.
Customizable: You own the code and the implementation. You can customize anything you want.
Get a live demo with storybook here https://main--68af7af75f72e5521a7e0f93.chromatic.com/?path=/...

value: Show HN: Shadcn-native shadcn UI for React Native


value: aanthonymax

value: Show HN: HATEOAS-Like Project

author: aanthonymax

title: Show HN: HATEOAS-Like Project


value: zoecarver

value: I built an iOS voice assistant that connects your action button to Gemini Live with 18 native iOS tools like location, calendar, and so on. It also connects to any shortcuts you have on your phone. Totally free, no account, no setup.

value: Show HN: Gemini connected to 18 native iOS tools and shortcuts

author: zoecarver


value:
As a former healthcare worker I launched the Maintain U app, a smartphone application designed to empower users with effective self-maintenance scheduling. While some apps focus on one particular area of maintenance, I designed the app so that it would cover a variety of areas such as personal care, mental health, medical activity, exercise, relaxation, spirituality, and entertainment.
The purpose of the app is to manage and coordinate the task of scheduling self-maintenance activities and keeping up with the appointments.For example, I once had a complex med schedule that was made simpified by scheduling my doses on the Maintain U app. The app allowed me to keep my med doses on schedule.
My inspiration for creating the Maintain U app stems from a deeply rooted belief that it is just as important to maintain one's self as it is to maintain one's house or vehicle to preserve them.  Go to the the following link to try the Maintain U app: https://play.google.com/store/apps/details?id=com.myapp.main...

value: Show HN: Self-maintenance app, Maintain U


value: jdcampolargo

value: Show HN: YouTubeMovieCatt: Free YouTube Movies Alert on X

author: jdcampolargo


value: mifydev

value:
Hey HN!
Over the past two weekends, I've (vibe)coded a library for creating agentic chats. It's a full-stack library - it provides React UI components for the chat, tools, and a backend endpoint implementation based on Vercel AI SDK.
The reason I've written that library is because I saw that Vercel created Chat SDK, but when I wanted to try it, I realized that it's not an SDK; it's just a website template, which is also deeply tied to Next.js. The library I've created can be used everywhere. (I hope)
Want to quickly try it out? Install it with SourceWizard:
npx sourcewizard@latest install react-ai-agent-chat-sdk
Let me know if you have any questions or see any bugs!

value: Show HN: React AI Agent Chat SDK

author: mifydev

title: Show HN: React AI Agent Chat SDK


value: narulaskaran

value: Show HN: Web-based receipt splitter, no downloads, no accounts

author: narulaskaran


value:
Just a toy, showing how easy it is to leverage built-in Emacs features (most notably Artist mode, which provides a set of functions for creating ASCII-art vector graphics) and things like trigonometric functions and timers to create something nice.
A short blog post mentioning some background (and showing a screenshot): https://mbork.pl/2025-09-08_Emacs_Artist_clock#.

value: Show HN: I made a simple ASCII-art analog clock in Emacs


value: haykerman

value:
I made a tool for myself. Sharing in case it's helpful for you too. It's totally free (beta) for now.
The idea came from one too many gym trips without my towel or sport shoes.
Only Android for now. IOS version coming soon.
I hope it scratches an itch.

value: Show HN: Rou – Because You Always Forget That One Thing

author: haykerman


value: I often needed to make simple scatter plots without opening Excel, so I built a small tool.

value: Show HN: Scatter Plot Maker (simple tool to create and export scatter plots)


value: autoinnoai

value:
I built a secure offline app to modernize fiberglass insulation workflows.
Most construction companies—especially in fiberglass insulation—still rely on paper forms and manual data entry to process installer payroll. It’s slow, error-prone, and wastes time, energy, and paper.
The Production Manager App is a closed-source Windows .exe that runs locally, enforces license keys via Gumroad, and auto-generates Excel reports based on job entries. No cloud sync, no external dependencies—just hardened logic built for real-world use.
Key features:
•  Weekly payroll calculation based on square footage, bags installed, or hourly wage
•  Auto-splitting pay across up to four employees per job
•  Full job entry interface with builder, model, lot/block, and optional insulation specs
•  Secure login with salted + hashed credentials
•  Auto-export to Excel with per-employee sheets grouped by week
•  Local SQLite database with smart cleanup and de-duplication
•  Auto-update support (checks for new versions)
The app is designed for non-technical users—fullscreen interface, no setup required beyond Excel. Once installed, it handles everything locally and auto-generates payroll reports two days after the pay period ends.
License enforcement is hardened: the .exe is encrypted and only unlocks after validating a Gumroad key. No open APIs, no cloud sync, no shortcuts.
 Architecture & Documentation: https://github.com/BirdDawg305/production-manager-app
 Website & Contact: https://automatinginnovatingai.com
Would love feedback on the architecture, UX, or anything that feels off. Thanks for reading!

value: Show HN: Production Manager App – Offline Payroll and Job Tracker (.exe)

author: autoinnoai


value: dlvhdr

value:
Hey!
So I worked on a new website for my TUI called `dash` on https://gh-dash.dev
The docs content was contributed by a community member @michaeltlombardi https://github.com/michaeltlombardi which I'm super grateful for.
Also, for any community member I created a discord server (https://discord.com/invite/SXNXp9NctV) where we can share configs and nerd out about terminal.
The site itself is built with Starlight by Astro.
I've set up a VPS with Dokploy (https://dokploy.com/) which made things so easy! Each PR publishes a new version of the site.
I love ASCII art so I sprinkled just a tiny bit (still need to practice :D).
Let me know what you think!

value: Show HN: New Site for My GitHub TUI

author: dlvhdr

title: Show HN: New Site for My GitHub TUI


value: garymiklos

value: Show HN: Receive Notifications from Claude Code

author: garymiklos


value: studiomartian

value: If you like Wordle try out the new game I just made. All feedback welcome :)

value: Show HN: Logogriphs – A daily word riddle game

author: studiomartian


value: yvonuk

value:
Proxied Web from URL (https://web.818233.xyz) —— A free web proxy service directly from URL
Usage:
Append any web URL to https://web.818233.xyz/, and the new URL will return the web content of the original URL.
I built this service mainly to extract content of any website for the use of LLM. It can also be handy if you do not have access to certain websites.

value: Show HN: Proxied Web from URL –– A free web proxy service directly from URL

author: yvonuk


value: huevosabio

value:
What if Pokemon were actually smart?
Howdy, I’m Ramon - and that’s exactly what my studio is working on! We’re making Allyon: Battlecry, a monster trainer game with lifelike creatures that know how to think and act on their own, like they were ripped straight out of an anime!
What makes it different:
• Prepare: train your monster through voice and demonstrations to come up with killer moves to use in battle
• Improvise: physics-driven arenas that change as you fight - douse flames into steam, blast craters, reshape cover.
• Bond: Allyon understand natural language, have personalities and memories, and your relationship grows over time. Between fights you can just hang out, talk, and play.
If that sounds like your thing:
Steam wishlist (huge help): https://store.steampowered.com/app/3987700/Allyon_Battlecry/
Join the Discord for playtests & feedback: https://tinyurl.com/allyonbattlecry
Thanks, and I’d love to hear your thoughts!

value: Show HN: A monster trainer game with monsters you can train

author: huevosabio


value:
Hi HN  I’m Tina.
Like many of you, I’ve been frustrated by LLM hallucinations — outputs that sound perfectly confident but are fabricated. So I built CompareGPT.io, a tool that:
 Runs the same query across multiple LLMs (ChatGPT, Gemini, Claude, Grok, etc.)
 Shows results side by side so discrepancies (and hallucinations) are easier to catch
 Offers a unified API for easier integration
We just opened a waitlist (with a half-price early offer + lifetime plan giveaway).
I’d love feedback from this community: do you think multi-model consistency could become a standard way to reduce hallucinations in law, finance, or research?
Thanks!

value: Show HN: Comparegpt.io – Spotting LLM hallucinations with multi-model comparison


value: thangalin

value: Show HN: KeenWrite 3.6.3

author: thangalin

title: Show HN: KeenWrite 3.6.3


value: craigbanach

value:
After tracking finances in Google Sheets since 2016 (currently at column XE - 657 columns), I finally built the app my wife and I needed. The breaking point was yet another argument about a forgotten Amazon purchase that broke our budget.
personifi is intentionally simple - real-time sync between partners, individual logins with shared data, and transaction entry that takes 12 seconds on mobile. Built with Next.js, .NET, and Postgres, running on a €4.55/month Hetzner VPS with Nomad orchestration.
The most validating moment: my wife told me she actually prefers it to our spreadsheet. After 9 years of her tolerating my spreadsheet obsession, that's worth more than any metric.
Currently at 2 DAU (us), but opening it up at £4.99/month for couples who want to stop arguing about money. Also included our free Google Sheets template if you prefer that route.
Blog post about building it: https://craig.banach.dev/musings/i-built-an-app
App: https://personifi.xyz
Happy to answer questions about the technical stack, the couples-first approach, or why I chose Nomad over K8s for orchestration.

value: Show HN: I built a finance app for couples after 9 years of Google Sheets

author: craigbanach


value: Eikon

value: Show HN: ZeroFS, the Filesystem That Makes S3 Your Primary Storage

author: Eikon


value: martinoV

value: just launched the public beta for showcase, a platform that allows you to collaborate with your team and any AI model together. lmk what you guys think

value: Show HN: Talk to any model with your team

author: martinoV


value: arondeparon

value:
I built a real-time HTTP log visualizer; think Logstalgia, but web-based.
Stream logs from nginx/k8s/etc and watch animated particles represent requests. Each particle is color-coded by status, sized by response bytes, with speed based on response time.
It has multiple view modes / themes: group by hostname, status codes, or source -> destination flows. Added replay timeline, and a TV mode. Using SSE for streaming.
Tech stack: Laravel backend, React frontend, Redis for buffering, Postgres with Timescaledb for long-term storage.
Would love feedback; still experimenting with different visualizations and tweaking things as I go.

value: Show HN: I Built Logstalgia for the Web

author: arondeparon

title: Show HN: I Built Logstalgia for the Web


value: aretecodes

value:
Hey everyone,
I just launched Astrae v2, a library of modern Next.js landing page templates and animated components.
The goal is to make it easier for developers and designers to build beautiful, production-ready sites fast, without spending hours on layout, animations, or responsiveness.
What’s new in v2:
•  More templates (landing pages, SaaS, portfolio, etc.)
•  Polished UI with Framer Motion animations
•  Design Figma files
•  Copy-paste ready components (cards, hero sections, pricing tables, etc.)
•  Improved code quality for easier customization
This started as a personal project for my client work, but it’s grown into something I wanted to share with the community. I’d love your feedback, what works, what doesn’t, and what you’d like to see in future updates.
To celebrate launch day, I’m running a 20% discount (today only)
Use code CF59AP at checkout.
Thanks for checking it out.

value: Show HN: Astrae – Landing Page Templates for React, Tailwind, and Framer Motion

author: aretecodes


value: allynjalford

value:
I built this as a Garage Project over the weekend. https://x402.backpac.xyz/
Still working on refining things, but let me know your thoughts.
Cheers.

value: Show HN: I built a way to monetize any link with a crypto paywall

author: allynjalford


value: njbrake

value: Scenario: Your company’s IT department says “good news, you have access to azure, aws, openai, mistral, and together AI, here are the API keys”. You think “yippee I can access many models”, but some models like the gpt-oss or Mistral are available on some or all of those platforms?<p>That’s where this app comes in: run it and it will check all the providers that you have configured and then you can search across those providers to see which providers have the model you want available. Built on top of mozilla.ai any-llm library. Check out the link for a GIF showing it in action.

value: Show HN: OSS app to find LLMs across multiple LLM providers (Azure, AWS, etc.)

author: njbrake


value: zeldahessler

value: I recently released a new version of my hobby project Vizza. It's a free desktop app of various beautiful visualizations. I've been working on it for several months now and I wanted to share it with y'all.

value: Show HN: Vizza – Interactive, Beautiful Simulations

author: zeldahessler


value: Show HN: Verse – FOSS Markdown editor web app


value: Show HN: Devibe – pip lib that will remove AI comments and devibe your code


value: maxbond

value:
Hi HN,
Here's a tool I wrote for retrying fallible commands. Nothing groundbreaking here, this is a tool that's been made many times (and several have been submitted to Show HN). Though this one does have a more comprehensive feature set than most. I hope one or two people will find it useful.
I wrote `attempt` for two reasons:
- To have a more featureful alternative to `wait-for-it.sh` for use in Docker Compose. Specifically to apply migration scripts to a database that may not be up yet. I wanted to be able to inspect the error messages from my migration tool & retry on connection errors.
- To test a hypothesis I had that a good way to make a CLI was to copy the API of a good library (in this case, `tenacity`). I want to write a blog post at some point to discuss this at length, but the tl;dr is that I believe it was a success.
Here are some usage examples: https://maxbondabe.github.io/attempt/usage.html
There may not be much to discuss for such a small tool, but I am open to all feedback and am happy to answer any questions.
Cheers,
Max

value: Show HN: Attempt – A CLI for retrying fallible commands

author: maxbond


value: albert-yu

value: I created a canvas-based Markdown table editor, which provides a novel (I think) editing experience. I'd love for people to try it out, or bookmark it for the next time they want to insert a one-off table into a Markdown-formatted comment. My design goals were 1) frictionless user input and 2) fast startup time.<p>Some good-to-knows:<p>- Can be used on mobile<p>- Table data is saved locally to the browser (nothing is sent to a server)<p>- I only tested this on a MacBook, so let me know if the trackpad calibration feels off

value: Show HN: Tablemd – canvas-based Markdown table editor

author: albert-yu


value: nikodunk

value: Show HN: A budget app so simple it's 1 chart

author: nikodunk


value: lxe

value:
I was looking for a push-to-talk tool that allows me to just paste my speech transcription automatically into whatever application I'm using.
I wasn't able to find anything simple enough that works, so I built my own. For now, it's just a basic CLI that works on Linux only using whisper.cpp.
It is incredibly simple. You hold down the buttons, say stuff, release and then it will pipe the transcription lines to stdout.
I'm using it to write this comment :)

value: Show HN: Yapyap – a simple and fast dictation for Linux using whisper.cpp

author: lxe


value: mngrwl

value:
Hi everyone, I'm Aman, the creator of DenseWiki.org.
DenseWiki is an experimental deep reading tool.
It aims to amplify human ability to read hard content (research papers, technical articles etc) OUTSIDE our expertise, by rapidly learning new disciplines on the fly.
Here's the key idea (as demonstrated in the video on the website):
When you read something in a new discipline (let's say a paper using AI for biochem, and you nothing about biochem), the challenge is jumping right into an OCEAN of knowledge. You're prone to feel lost and overwhelmed.
DenseWiki's approach is that using the browser extension, if you come across any jargon, it identifies the ONLY few relevant concepts / knowledge you need at that moment, help you quickly become familiar with those few concepts with one click, and let you continue reading.
So as you read, you're able to INCREMENTALLY build your familiarity with the new field and SMOOTHLY expand your knowledge graph, without getting lost — and you're able to engage with the content you want from day 1!
Furthermore, it uses gamification to help you build a consistent deep reading habit.
It also simultaneously builds a global knowledge graph — i.e. if you identify a novel concept introduced in a paper that came out only yesterday, you can add it to DenseWiki immediately. So as more people use it, it can become more current than any LLM or blog or web encyclopedia over time.
Looking forward to feedback.
P.S. You'll have to download a browser extension, but if you don't want to sign up, you can log into this test account directly:
Email: team+hn@densewiki.org
Password: HACKERNEWS

value: Show HN: A deep reading tool for those engaging with cutting-edge knowledge

author: mngrwl


value:
Hi HN — I'm the maker of chrome-site-stats, a Chrome extension I built to help people understand and take control of how they spend their time online. I was tired of drifting through tabs without knowing how long I was actually on each site — so I made this.
With chrome-site-stats you get:
• Granular tracking of time spent on each website, all stored locally in your browser (totally private).
• Custom daily visit limits & friendly reminders when you've hit them.
• Learning goals for sites like YouTube, Udemy, Coursera — hit your study benchmarks consistently.
• Celebratory reminders when goals are met — all wrapped in a clean, intuitive interface.
Built with JavaScript + Chrome Extension APIs. Still polishing some features — feedback and ideas welcome!
Thanks for checking it out!

value: Show HN: Chrome-site-stats – Track, limit, and optimize your browsing time


value:
We struggled with context overload using LLMs (Claude Code, Cursor etc) on large APIs. Even with doc search tools (Mintlify MCP, etc.), models would grab too much irrelevant info, miss types/params/schemas, or hallucinate context — so LLM outputs were unreliable.
To solve this, we turned our OpenAPI spec into highly modular docs:
- Every schema, endpoint, or parameter lives at a deterministic URL (/schemas/Product, /operations/CreateOrder, etc.)
- Each doc page has the TypeScript definition, relevant OpenAPI fragment, and links to related items
- LLMs (and human devs!) always get exactly the info they need—no more, no less.
- We automated the flow so docs auto update whenever OpenAPI changes
Result: much more accurate, reliable LLM-powered codegen and improved developer productivity.
Would love to know:
- Has anyone else hit this context overload problem?
- Are modular, LLM-optimized API docs for each API entity something others want/need?
Happy to share our approach or hear about others’ solutions!

value: Show HN: Modular, LLM-optimized OpenAPI docs – deterministic URLs


value: yszhu

value: Show HN: Miniatur AI – Transform character images into figurine renders with AI

author: yszhu


value: noduerme

value:
This is such a ridiculous hack. A friend with an iphone sent a text to my Android reading:
Like: "I'm thinking of a number"
Google's Messages app interpreted this as:
to "I'm thinking of a number"
I was like, who are you responding to?!
It took a minute of total miscommunication to realize that Messages must be just using the first six characters to decide if something is a "like" command

value: Show HN: Start a Text with 'Like "'

author: noduerme

title: Show HN: Start a Text with 'Like "'


value: Virock

value: UnmetNeeds is a crowdsourced platform by Virock where people share ideas for products or solutions they wish existed. Others can vote, pledge payment, or propose answers—turning collective wants into future innovation.

value: Show HN: Website to Connect Dreamers to Builders

author: Virock


value: yangyiming

value: Free sleep calculator and sleep cycle calculator to find your optimal bedtime and wake-up time. Calculate your REM sleep cycles for better rest and energy

value: Show HN: Free Sleep Calculator

author: yangyiming

title: Show HN: Free Sleep Calculator


value: newclone

value:
We’re excited to share RcloneView 0.9 with you!
The ultimate GUI for Cloud Data Sync and File Management.
Effortlessly browse, organize, transfer files across your cloud storages.
This release brings major enhancements in remote management, Synology NAS integration, theme customization, and file handling.
It also includes a wide range of bug fixes, UX improvements, and compatibility updates for Flutter and Linux environments.

value: Show HN: RcloneView 0.9 – A GUI for Rclone to Manage and Sync Cloud Storage

author: newclone


value: raooll

value:
Hi HN,
I’ve been working on AuctionHubIndia
, a platform that aggregates bank auction properties (residential and commercial) across India.
Banks regularly auction distressed assets (NPAs, SARFAESI, foreclosures), but the notices are scattered across dozens of bank sites, often as unstructured PDFs or poorly formatted web pages. Finding and tracking them is tedious.
What it does:
Aggregates auction listings from multiple Indian banks.
Uses AI agents to parse and process unstructured notices into clean, searchable property data.
Lets you filter by location, property type, price, bank, and more.
Provides timely updates so buyers never miss an auction.
Why we built it:
For investors and homebuyers, the current system is fragmented and opaque. AuctionHubIndia makes the process transparent, searchable, and easy to navigate.
What’s next:
Advanced search capabilities with smarter filters.
Free downloads of up to 4 listings before subscription.
Weekly rollout of new user-friendly features.
Would love to hear your feedback, especially around improving discovery or automating due diligence.
Check it out: https://auctionhubindia.com

value: Show HN: AuctionHubIndia – Discover Bank Auction Properties Across India

author: raooll


value: byteforge

value: Show HN: PDFGate

author: byteforge

title: Show HN: PDFGate


value: countfeng

value: I built a simple web game where players listen to short music clips and try to guess both the singer and the song title. It’s inspired by trivia/quiz games but focused entirely on music recognition. Would love feedback on the gameplay, UI, and ideas for making it more engaging.

value: Show HN: A music quiz website – guess the singer and song title

author: countfeng


value: Show HN: TerraCode CLI learns and uses your domain knowledge intelligently


value: Forgret

value:
GitHub: https://github.com/Ferki-git-creator/coc
Test in website: https://ferki-git-creator.github.io/coc/

value: Show HN: I'm tired of long color entries like "\x1B[48;5;10M"so I created my own

author: Forgret


value: yangyiming

value: More than just a date calculator - discover the significance of time in your life. Calculate days between meaningful dates, plan future milestones, and reflect on life's journey

value: Show HN: Date Calculator Measure What Matters


value: antoniorodr

value:
Hello everyone!
After a few months of working on it in my free time, I just launched my biggest project since I started learning programming in August 2024.
It’s called Stressio, and it’s a tool designed for companies, especially managers. Employees can anonymously log their stress levels, and managers get a heatmap showing which months are the most stressful. This helps teams identify patterns and take action where needed.
There are still some features I want to add, but they’ll come in future updates.
Link: https://stressio.dev

value: Show HN: Stressio – Control Stress Levels

author: antoniorodr


value: davkh

value:
Hi community,
I built Quadrant, a lightweight OKR tool inspired by Christina Wodtke’s “Radical Focus.”
Best
David

value: Show HN: Quadrant – OKRs with Focus for small teams

author: davkh


value: bribri

value:
Hey HN,
I made this tool to help me be mindful of time while at my computer. Plus, I always wanted a cuckoo clock and this app gives a similar feel.
I tried using traditional productivity timers like Pomodoro timers, but I was never consistent with starting them or restarting them after breaks.
CuckooTimer is macOS menu bar app that gives you a gentle ping every hour (or whatever interval you choose) so you can be more aware of time passing.
It quickly fades onto the screen as a borderless 3D cuckoo clock, a cute cuckoo bird animates out, makes a real bird call, then fades away.
I use it as a reminder to take a break or recenter myself on what I'm doing.
There are a number of ways you can use it and configuration options, like adjusting how often and what times of day it runs.
I've found it really helpful in managing my time. Check it out here!
https://cuckootimer.com
Cheers,
Brian

value: Show HN: CuckooTimer – Cuckoo Clock Productivity Timer

author: bribri


value: DrThomasAger

value:
My wife studied psychology. One time, while I was prompt engineering, she was sharing with me a study where they found that people's bodies responded the same way to the icon of a smile as a real person smiling at them.
At the time, I had just started the latest iteration of systemizing some of the prompt syntax that had been working for me... And it included lots of open brackets ( and colons :. I figured... Wouldn't combining these together work?
And we could also get better and more consistent results by structuring prompts?
It ended up working much better than expected, and I'm excited to share (: Smile with the world. Give it a try and let me know what you feel :)

value: Show HN: Smile – an open source language for structuring prompts

author: DrThomasAger


value: Lindadao

value: Try it out and let me know what you think.

value: Show HN: I built a tool to create ad variations to fight ad fatigue

author: Lindadao


value: truetaurus

value: Show HN: Super Simple Inventory Management

author: truetaurus


value: zahirbmirza

value: Social media without being a social media platform. I wanted to be able to share aesthetic notes/posts/audio without social media intermediaries. PDFs are never made for phone screen views... so I implemented .NoteSub file creation in app and sharing so that you can send notes to be seen as good as they were designed via whatever sharing method you use.<p>Also, it is free to download and use for every feature apart from an IAP for iOS sync.

value: Show HN: NoteSub Now with Decentralised Sharing

author: zahirbmirza


value: Show HN: Focalist – A distraction-free task app that helps you focus


value: afranky

value: Show HN: Kaset — Embed Coding Agents Directly in Your Web App

author: afranky


value: Forgret

value: Show HN: Link Global, cross-shell aliases with history, auto-compile for C files


value: blynt

value:
Hello,
For the past months I've been working on a web-based API client called RequestBite Slingshot.
The main differences from many other API clients are its focus on being light-weight and fast, to not require an account to use it, mobile-friendliness, to be local-first and to the greatest extent respect your privacy, while at the same time be very competent for using and testing out HTTP APIs.
It's very much in active development, but it already provides a lot of value to me, so I hope it can do the same for you.
Any and all feedback is highly appreciated!

value: Show HN: Slingshot – a fast, FOSS and local-first HTTP API client

author: blynt


value: Sunfin

value: Download Pinterest videos and images for free! Use my best Pinterest video downloader online to save Pinterest videos in MP4 format or download Pinterest HD images. Fast, secure video downloader for Pinterest - no installation required. Works on all devices.

value: Show HN: Pinterest Video Downloader-The Best Free Downloader for Pinterest

author: Sunfin


value:
I just published htms-js, an experimental toolkit for streaming HTML in Node.js.
Instead of sending HTML all at once, it works as a pipeline: tokenize → annotate → serialize, and stream along the way.
The idea is to keep the DOM SEO and accessibility friendly from the start, while still being able to enrich chunks dynamically.
There's a small live demo running on top of a tiny server (htms-server). You can also try the code in the 'examples' folder of the repo.
It's early and experimental. I'd really like people to play with it, test things, break it, and tell me what works or doesn't.
Repo: [https://github.com/skarab42/htms-js](https://github.com/skarab42/htms-js)
Demo: [https://htms.skarab42.dev](https://htms.skarab42.dev)

value: Show HN: Htms-JS - Streaming HTML pipelines for Node.js


value: JuGaDev

value: Show HN: Emergency Digital Location – Share your exact location, fast and easy

author: JuGaDev


value: pauhu

value:
Been working with Gemini's image generation API and got frustrated with the lack of structure in prompt engineering. Built a JSON schema that validates prompts and ensures consistency.
Includes Python validator, examples covering different use cases (product photography, portraits, illustrations), and simple integration samples.
The schema is quite comprehensive - covers everything from basic subject/style to detailed technical parameters like camera settings and lighting.
Open source (MIT), would appreciate feedback from others working with Gemini or similar models.
GitHub: https://github.com/pauhu/gemini-image-prompting-handbook

value: Show HN: JSON Schema for Google Gemini Image Generation

author: pauhu


value: savalione

value:
Hi everyone,
I'm Savelii, an open-source software supporter.
I've built a self-hostable solution written in Go for creating a community mirror for the Zig programming language. This application is designed for communities, companies, or individuals looking to provide faster local access to Zig toolchains, reducing latency and bandwidth usage on the official servers.
Key features: Full support for ACME (Let's Encrypt) to automatically obtain and renew TLS certificates, supports HTTPS and automatic redirection from HTTP to HTTPS, compiles to a single binary, all settings are manageable via command-line flags, caches files using the official Zig directory layout.
The project is open source (GNU GPL v3.0).
I welcome all feedback, bug reports, and collaboration from the community.
The source code, build instructions, and pre-compiled binaries are available on GitHub: https://github.com/savalione/go-mirror-zig
Thanks for taking a look!

value: Show HN: Go-mirror-Zig – A simple way to create a Zig community mirror

author: savalione


value: andsko

value: Show HN: Look at Things from Different Angles

author: andsko


value: sausagefeet

value:
We are Malcolm and Josh, two engineers who wanted to bootstrap a business after reading the book Company of One. (If you haven't read it, it is a great book about building something sustainable instead of chasing exponential growth.) We never set out to build a Terraform company. We just wanted independence, a lifestyle business, and ended up here.
Terrateam is an open source tool that runs Terraform plans and applies inside pull requests. Think of it as Terraform orchestration designed to handle large monorepos and flexible workflows.
A few years ago we were trying to figure out how to start a company. We did not want VC money. We wanted independence and something sustainable, even if it grew slowly. That was the goal.
We tried a bunch of things first, Package Depot, Curl Bash, and something called "Hosted Atlantis." None of it really worked. But Terraform kept coming back into the picture. Honestly, we were not superfans. Writing HCL all day never excited us. But the orchestration problems around Terraform were unavoidable. Atlantis (the default OSS solution) would choke on monorepos. Terraform Cloud was expensive and rigid. GitHub Actions were brittle. We knew these were real pain points.
So we started building Terrateam. At first it was basically "Atlantis in OCaml" because I like writing OCaml and the type system gave me confidence in big refactors. Looking back, we tried to do too much at once and we did not differentiate clearly. But over time, we have figured it out.
What works well with Terrateam:
Monorepos, thanks to a tag system that lets you target the lowest possible piece of your infrastructure with custom workflows, policies, and access controls. We have teams running Terrateam across enormous repos with tens of thousands of directories, and the tag system keeps runs isolated and manageable
Everything runs directly in PRs with no required UI. We think extra dashboards are an unnecessary context switch, although we still provide one when PRs are too constrained
We are bootstrapped, for profit, and open source. Most of our competitors are closed source, VC funded, and focused on large enterprise. We are aiming at the mid-market instead. These are the teams that need orchestration, but do not want to spend six figures, talk about it in budget meetings. or divert engineers to build and maintain their own system. Terraform orchestration is important enough to pay for, but not the kind of problem most teams should be building and maintaining themselves.
As for AI, we do not yet know where it fits. Today we believe orchestration is still a human workflow, with people reviewing plans, enforcing policies, and approving changes. Maybe AI augments that in the future, but our focus is on making the fundamentals reliable right now. Infrastructure changes should be intentional.
Getting noticed is still the hardest part. We do not have a big marketing budget. We are not the default open source choice because Atlantis still is. But we have built something that real teams use in production, and we think the engineering and business problems here are interesting enough to be worth sharing.
Repo: https://github.com/terrateamio/terrateam
We would love feedback, especially from others who have tried to bootstrap infra tools, thought about GTM for devtools, or fought Terraform at scale.

value: Show HN: Bootstrapped Terraform Orchestration in OCaml

author: sausagefeet


value: Forgret

value: Show HN: Std_net.h – Single-file cross-platform TCP networking (C/C++)


value: restorephotoiip

value: Explore Hollow Knight: Silksong’s world with Silksong Map – bosses, benches, collectibles, and fast travel.

value: Show HN: Game Silksong Map Online

author: restorephotoiip

title: Show HN: Game Silksong Map Online


value: klevo

value:
Tiny open source tool that introduces .localhost file convention to keep track of all your local project hostnames and ports, without a need for a proxy.
I was inspired by DHH's Rails World 2025 keynote on how 37Signals currently handles running apps in development. I realized this whole approach can be standardized.
This tool helped me to simplify my local development environment, by dropping a proxy solution, and just utilizing the fact that each app can live on it's own port and have secure context (no need for HTTPS to allow things like copy to clipboard) thanks to modern browsers and .localhost. No need to modify /etc/hosts or anything else, it works out of the box.

value: Show HN: Locport – manage localhost ports and prevent conflicts

author: klevo


value: JamesKachamila

value:
> Why I built the “agentic storage”
Most AI agents today are stateless. They spin up, do some orchestration, maybe call a few APIs, then disappear. If you ask them to recall something they created yesterday, they usually can’t because nothing was ever persisted.
That’s fine for toy demos, but if you want agents to actually be useful in day-to-day workflows, they need what every real operating system has: storage. Somewhere to write outputs, read inputs, update state, and remove what’s no longer needed.
That’s what I mean by agentic storage. It’s a native file system for agents, designed with persistence, context, and automation in mind.
> How it works
At its core, agentic storage exposes the four basic file operations: Create, Read, Update, Delete but reimagined for agents:
* Create: Whenever an agent generates an artifact, a spreadsheet, report, dataset, chart - it gets written into storage as a file with metadata. This isn’t just raw bytes; we log who/what created it, and in what task context.
* Read: Retrieval isn’t path-based. Instead of remembering /projects/2025/job_hunt/nyc_jobs.xlsx, you can say “the job hunting file” and the agent does a contextual lookup. Because the system parses files directly, agents can also “read” inside spreadsheets, images, or PDFs and act on the content.
* Update: Agents can persistently modify files. Append rows, highlight values, merge in new content, or schedule recurring updates. All updates are versioned with provenance so you can track what changed and why.
* Delete: Straightforward but important. Deletions are scoped to the agent’s storage (not your OS), require confirmation, and leave a trace. This makes experimentation safe.
> Beyond CRUD
Because every artifact is tied back to the task that created or modified it, storage evolves into a memory graph. Files aren’t isolated blobs; they’re connected to the prompts, runs, and workflows that produced them.
On top of this, there’s a built-in scheduler. You can say, “every Monday for the next 2 months, fetch new job listings and add them to my spreadsheet.” The system remembers, and it executes without requiring external orchestration tools.
> Why this matters
Giving agents persistent storage changes the game. Instead of ephemeral runs that vanish after execution, you now have a foundation that compounds over time.
It’s the same leap we made in computing decades ago: from temporary scripts that print to stdout, to real programs that write to disk, maintain state, and schedule tasks.
Agentic storage is simply that leap for AI agents. It gives them a reliable substrate, a hard drive and an operating system, so they can build, recall, and extend their work like any other piece of software.
Feel free to try it out here -> Sellagen.com <- It’s free to use :)

value: Show HN: I built an operating file system for my agent (CRUD)

author: JamesKachamila


value: florianwueest

value: Show HN: I Built a Free SPF, DKIM, DMARC Generator for Cold Outbound

author: florianwueest


value: goofed

value: Show HN: CLI tool to transfer your chats from Telegram to WhatsApp

author: goofed


value: Show HN: Narcissistic Abuse Simulator exposes toxic patterns


value: A Terraform-based starter kit for automating Azure infrastructure with GitHub Actions.

value: Show HN: Azure CI/CD Starter Kit with Terraform and GitHub Actions


value: solcloud

value:
I started this project from scratch 3 years ago before cs2 was released.
Now game has all csgo features implemented notably:
multiplayer, weapon shooting, grenade throwing, package planting, round end win conditions, buy menu, scoreboard, radar, economy, recoil patterns, sniper rifle, proper hitboxes with backtrack support, inventory managment and legendary dust2 map
what is missing is better audio and visuals as I am not really good at this category
if you wanna try game yourself you can download it here https://solcloud.itch.io/counter-strike-football#download or build from source code
any feedback is welcome, thank you for reading

value: Show HN: Open-source counter strike clone, from scratch, no game engine

author: solcloud


value: richelectron

value:
I built a small web/mobile app for locals who want to avoid matchday crowds and traffic. Fans already know the fixtures, but some have said they find the countdowns and reminders useful. One season ticket holder installed it on his wife's phone so she could keep track of his football commitments.
Features:
* Follow team(s) or stadium(s)
* Notifications: 7 days before, night before, matchday, kick-off, and when crowds start clearing
* "Set it and forget it" - the app keeps you in the loop
* Countdown to next home game, recent results, fixture list, league table
* No ads, no tracking, no account required
* Free for now (might add a small fee later)
Why I built it:
I wanted this for myself, needed a side project, and initially thought I'd use it to improve my C#. But I switched to Perl, which runs faster and simpler than .NET Core on the Raspberry Pi 3B I'm using to self-host the backend. I used Amazon Q in VS Code to scaffold the frontend (HTML/CSS/JS), but most of the backend is hand-written Perl. Notifications are sent via Firebase Cloud Messaging, triggered by cron jobs that hit the football-data.org API. The mobile app is a Capacitor wrapper of the web app.
Lessons learned so far:
* Amazon Q was great for scaffolding UI, less so for backend build scripts and cron workflows
* The value is mostly for locals who want to avoid matchday crowds (not so much for fans)
* In big cities, football is only part of the picture - expanding to cover more events would make it more useful
Would love feedback on the app, the positioning, or the tech stack. Also open to ideas for expanding it beyond football.
(Edited to address formatting, apologies, very first contribution to HN)

value: Show HN: Next Home Game – Crowd-avoidance alerts for UK football matches

author: richelectron


value: Show HN: AI agent that clones viral content structures to automate social growth


value: yangyiming

value: Discover the best overalls for men and women. From classic denim to trendy designs, find the perfect overalls for your style and needs at OverallsShop.com

value: Show HN: Find Your Perfect Pair of Overalls

author: yangyiming


value: zongheng

value:
Hi HN,
I built a free Markdown to HTML converter that solves a pain I kept running into with AI-generated content.
For years, I relied on tools like ChatGPT and Claude to draft blog posts, but the Markdown they produced often broke existing converters. Instead of standard "*" or "-" for lists, I'd get odd symbols like ":" or "•". The converter would fail, leaving me to manually fix formatting every single time. It was frustrating and time-consuming.
So I decided to build my own: Markdownhtmlgen.com.
Key features:
- Converts Markdown to HTML that actually works with AI-generated quirks
- One-click emoji removal
- Auto-IDs for headings (great for anchor links)
- Adds rel="noopener" to links for better security
- Runs entirely in the browser, no backend or registration required
I originally built it for myself, but it’s been saving me hours of editing, so I thought it might help others too.
I’d love feedback from this community: what works, what doesn’t, and what features you’d want in a Markdown converter.
Try it here: https://www.markdownhtmlgen.com

value: Show HN: I built a Markdown to HTML converter that fixes AI-generated quirks

author: zongheng


value: mmulet

value:
I made a built-from scratch Wayland Compositor to display any GUI app* in the terminal! I think there is a lot of unexplored potential in custom Wayland compositors, a lot of really cool things you can embed existing applications into! So, I started with embedding apps into the terminal because that is the easiest input/output (output is just utf-8 and I use the great `chafa` library for that, and I just read from stdin for the input).
If you have any other ideas for cool Wayland compositors, let me know. I purposedly wrote 80% the app in Typescript to appeal to the most developers and attract cool contributions (I do all drawing with the familiar Canvas2D api, so if there is interest, I can also fork this out into a cool Terminal canvas, let me know!)
I have a blog post here about how I did it, but it’s pretty high level and non technical, so please ask if you have any questions.
[How I Did It](<https://github.com/mmulet/term.everything/blob/main/resource...>)
*technically only Wayland apps and x11 apps with Xwayland. But on Linux that’s mostly everything.

value: Show HN: Term.everything – Run any GUI app in the terminal

author: mmulet


value: sjdeak

value:
Hi HN, I built DJI360 as a resource for DJI enthusiasts ahead of the rumored Osmo 360 camera launch. The site aggregates DJI product news and features a comprehensive buying guide covering their entire lineup—including update cycles and purchase timing recommendations.
Built it mainly to scratch my own itch as a drone hobbyist who was tired of scattered info across forums. The buying guide turned out pretty useful for timing purchases around DJI's release patterns.
Check it out: https://dji360.com
Feedback welcome, especially on the buying guide structure!

value: Show HN: DJI360 – DJI Product News and Buying Guide Platform

author: sjdeak


value: simonhamp

value: Show HN: Bifrost – The Build Service for NativePHP Apps

author: simonhamp


value: tekkertje

value: Show HN: Briced – AI Native CRM

author: tekkertje

title: Show HN: Briced – AI Native CRM


value: Hey HN, I have been working on using the info-gathering and truth-seeking properties of the markets to get more honest reporting on all sort of things. The idea is to have a market game where people can wager a fake currency on what think is true and then, the citizen reviews the crowd-sourced information and makes a judgement about which position has the best case. It is crowd-sourced journalism with a market game. Please let me know what you think and my email is trevorgillan1@gmail.com, if you have any questions.

value: Show HN: Prediction Market for Trump's likelihood of pedophilia


value: waphil

value:
## Who is this for?
1) Devs looking for utilities that treat data types generically.  For example, `mapValues` takes an array, object, Map or Set and returns a new instance.
2) Devs interested in functional utilities without the jargon. Utilities are named in plain English, there's no currying, and its source is kept simple.
## Other features
- An in-browser playground: https://common-fp.org/try-it
- Supports TypeScript
- 100% test coverage with types tested as well.
- For every utility, I try to explain why it's useful along with a code example.
## A personal note
- I built this as a personal endeavor.  I wasn't trying to solve a problem the community expressed, so I understand if people find it odd or unnecessary.  Finishing a project is difficult, and I'm mostly happy just to have done that and present what I consider to be a polished product.
## Link to source
- https://github.com/common-fp/common-fp/tree/dev/pkg/common-f...
Thanks for taking a look. ~Phil
* This is a repost since the first time was over a US holiday.  Original post here: https://news.ycombinator.com/item?id=45084163

value: Show HN: Common FP – A New JavaScript Utility Lib

author: waphil


value: ludovicianul

value:
I’ve been working on an open-source CLI tool called Dochia for a while now.
The reason for building it: in microservices architectures, testing is repetitive: every service exposes APIs, and much of the testing process will share a similar set of test cases: negative inputs, boundary cases, encoding quirks, invisible characters. I wanted a tool that could automate this shared layer of testing instead of doing it manually across dozens of services.
So what Dochia does: reads your OpenAPI spec; generates thousands of smart, edge-case payloads automatically and produces detailed reports with reproducible cases.
I've been use it for any microservice I've built as to establish a foundation in place.
Github: https://github.com/dochia-dev/dochia-cli and website: https://dochia.dev
It's open-source, and I'd love your feedback. Contributions, issues, and edge-case stories are very welcome.

value: Show HN: Dochia – Automating repetitive microservices API testing

author: ludovicianul


value:
Hey HN community!
Over the past year, AI copilots like Cursor and Windsurf have fueled a dramatic shift in software engineering workflows. And yet, many technical users in adjacent fields like data science and analytics have been unable to reap the rewards of this revolution.
It turns out that the existing tools are a poor match for analytical workloads. Beyond that Cursor and similar tools have very poor support for Jupyter notebooks, data science is a fundamentally different discipline from software engineering and we believe it requires a correspondingly different tool.
We're excited to announce the launch of Sphinx to fill this gap. Sphinx is a data-native AI copilot for Jupyter notebooks. Unlike existing copilots, Sphinx understands that data science often requires an experimental, exploratory approach.
Some highlights of Sphinx's capabilities:
- A fully agentic loop, able to break tasks into discrete steps and implement them cell-by-cell
- Able to create and read charts and graphs to guide its next steps
- Fluent in working with common data connectors, like Snowflake, Databricks, and databases
- Full MCP integration, and large outputs can even be processed programmatically as data directly in the notebook
To make it as easy as possible to use, Sphinx operates on ordinary Jupyter notebooks and is available as a simple VSCode extension with a generous free tier.
Excited to hear what you all think!

value: Show HN: Sphinx – the Jupyter-native AI copilot for data scientists


value: cutandjoin

value:
Cjam is lightweight freeware that can process large numbers of MP3 files without quality loss.
Official site: https://cjmapp.net
Also available on MajorGeeks:
https://www.majorgeeks.com/files/details/cjam.html
There’s also a forum where users can share feedback or scripts:
https://forum.cjmapp.net

value: Show HN: MP3 File Editor for Lossless Bulk Processing

author: cutandjoin


value:
Created MangaRenshuu to make Japanese manga reading more effective for learners - click speech bubbles to see extracted text, toggle romaji button if you want to romaji under the extracted text.
Key features:
- Pre-processed speech bubble text extraction using OCR
- Click bubbles to see Japanese text
- Toggle romaji button to see romaji text under extracted text
- Currently has some chapters of Yotsuba&! and Takagi-san
Technical process: I used OCR tools to extract and clean text from manga pages offline, then built a web interface that overlays the text on original images.
Started as a personal study tool that I use daily. Made it open-source after realizing it might help other learners.
Would love feedback from other Japanese learners or suggestions for additional manga.
Website: https://www.mangarenshuu.online/
GitHub: https://github.com/MRamazan/MangaRenshuu

value: Show HN: Read Japanese Manga More Effectively with MangaRenshuu


value: Obscurely

value:
After struggling to find specific files in my 10,000+ media library, I spent 18 months building RekoSearch. It allows you to search across photos, videos, documents, and audio using natural language queries, such as "dog mountain," or advanced syntax, like `label:couch AND text: "brand name" NOT face:sad`.
Built with Rust (Lambda functions on ARM64 and the entire Backend), Python/React (frontend), AWS services (Rekognition, Textract, Transcribe), and Kubernetes.
• Live demo: https://rekosearch.com/demo
• GitHub repo with architecture docs: https://github.com/Obscurely/RekoSearch-Public (includes in-depth handmade excalidraw diagrams)
• Blog post about my journey and challenges: https://www.adriancrismaruc.com/blog/building-rekosearch-jou...
• Try it yourself (beta): https://rekosearch.com/beta (50 free credits)
I'm open to feedback on architecture, functionality, or any suggestions you have for improvements. Also, I highly recommend trying to build a SaaS app— the knowledge I gained building this far exceeded what I could have learned from smaller desktop projects.

value: Show HN: RekoSearch – Semantic Search for Media SaaS (Rust, Python, AWS and K8s)

author: Obscurely


value: yahyam

value:
Hi HN, I’m Yahya, founder of Rocket Money (formerly Truebill, YC W16). I’m working with a team to launch Payloop, a lightweight infrastructure layer that helps teams understand the real costs of deploying AI agents - across tasks, workflows, and customers.
Here's a quick demo: https://www.youtube.com/watch?v=Z-GkSl_7imY
Most companies today can't see what it actually costs to deploy their agents, making it nearly impossible to manage margins or price confidently. Payloop solves this with an elegant approach: just a single line of code gives you real-time visibility into cost per task, agent, and customer.
This becomes especially critical as teams run multiple LLMs to power different queries for the same customer. Payloop shows the true costs in real time, helping teams preserve gross margins and avoid costly surprises while scaling.
By showing exactly what's driving cost and value, Payloop becomes the source of truth for agent economics, helping companies scale agents with confidence.
We just opened up early access to our beta, available here - https://trypayloop.com/yc - and would love your feedback!

value: Show HN: Paylooop – Cost visibility for AI agents

author: yahyam


value: osquar

value:
Hey! I want to get your feedback on our A/B testing platform for LLMs. Giving a 100 day Pro trial to anyone who signs up this week.
The premise: in 10 minutes compare a bunch of model/parameter/prompt combos to find the best point on the quality-latency-cost tradeoff.
Enter your data manually or sync from your tracing platform.
~300 models to select from.
Here is a 1 minute Loom: https://www.loom.com/share/39b7cd24166c4e1fafd5e7fbd12a9d4d?...

value: Show HN: Narev – Rapid A/B tests for the LLM setup

author: osquar


value:
I built BPM Finder, a comprehensive audio analysis toolkit that provides three professional-grade tools: BPM detection, musical key identification, and tempo adjustment  all running entirely in your browser.
## What makes it different:
*Privacy-first approach*: Your audio files never leave your device. All processing happens client-side using Web Audio API, rubberband-wasm, and advanced algorithms.
*Three powerful tools in one*:
- *BPM Finder*: Dual-algorithm analysis with 99.5% accuracy and confidence scoring
- *Key Finder*: Chroma analysis with correlation matrices for precise key detection
- *Tempo Change*: Adjust audio speed without pitch changes using professional rubberband algorithm
*Multiple analysis modes*:
- Single file analysis with detailed results
- Batch processing (up to 50 files simultaneously)
- Real-time tap tempo for live BPM detection
## Technical highlights:
- Built with Next.js 15, TypeScript, and Web Workers for intensive processing
- Supports MP3, WAV, FLAC, AAC, OGG, M4A (up to 50MB each)
- No registration required, completely free to use
- Export results to CSV or integrate with DAW/DJ software
## Real-world use cases:
Professional DJs use it for beatmatching in live sets, music producers organize sample libraries by BPM, fitness instructors create tempo-matched workout playlists, and video editors sync background music to cuts.
The project started when I needed reliable BPM detection for my own music production work but couldn't find tools that were both accurate and privacy-respecting. After months of research into audio analysis algorithms and Web Audio API optimization, I built this comprehensive solution.
*Try it*: https://bpm-finder.net/
Would love feedback from the HN community, especially from fellow musicians, developers working with audio processing, or anyone who's tackled similar browser-based analysis challenges.
*Tech stack*: Next.js, TypeScript, Web Audio API, rubberband-wasm, web-audio-beat-detector, Tailwind CSS

value: Show HN: BPM Finder: Advanced Audio Analysis Toolkit


value: juanpabloaj

value: Show HN: Context, Hallucinations, and How LLMs Are Changing Development

author: juanpabloaj


value: Show HN: Cvibe is an new standard to share prompts worldwide


value: Just replace "arxiv.org" with "aqrxiv.org" and instantly get a QR code for your paper.

value: Show HN: Aqrxiv – Turn any ArXiv link into a QR code


value: kovezd

value:
Hi HN! I’ve been experimenting with large language models for data analysis and thought today’s demo day would be a fun way to gather feedback.
The problem I see is that for the average investor, it’s tough to get familiar with 100+ startups in a short amount of time. To make it easier, I scored the startups across 12 dimensions so anyone can filter based on their own investment thesis. There’s also a ranked search and similarity view, which makes it simple to focus on a specific industry or discover related startups.
On the technical side, the implementation is straightforward. I use a small model to score the startups and then chart them in two dimensions with PCA. Each score has a rationale attached, making it easy to audit or test. From my experiments, Gemini did a surprisingly good job with the scoring, which makes the tool both useful and fun for exploring startups.
Congratulations to all the teams launching today—there are some amazing and inspiring projects. Looking forward to your feedback!

value: Show HN: VC-LLM – Visualization of YC Summer 25 startups

author: kovezd


value: sachinneravath

value:
Stripe is great, but is not simple.
You end up handling many webhooks, mirroring Stripe data, tracking subscription states, and hardcoding feature checks.
Managing upgrades, downgrades, migrations, overrides, and grandfathering often needs custom scripts.
ParityDeals keeps that billing logic out of your app.
Once you integrate ParityDeals SDK, you can manage everything from a single dashboard. No further code changes required.
I'd love to hear your feedback

value: Show HN: ParityDeals – Stripe billing without writing webhooks or custom scripts

author: sachinneravath


value: mothukur

value:
At Arcesium, we needed a way to run SQL-driven CRUD operations, manage slowly-changing dimensions, and handle schema evolution on our cloud data lakes—without the overhead of spinning up distributed clusters or relying on vendor-managed query services.
That’s why we built SwiftLake, a lightweight open-source library that brings Apache Iceberg and DuckDB together:

  - Lightweight & cluster-free: Runs as a single Java service with embedded DuckDB—no  distributed infra required.
  - Full CRUD and SCD1/SCD2 support: Reads, inserts/appends, updates, deletes, and merges with ACID guarantees.
  - Iceberg advantages: Schema evolution, partition evolution, and time travel.
  - Developer-friendly APIs: Simple interfaces to embed directly into apps or data workflows.
  - Cloud storage support: Works with S3 today, with GCS and ADLS coming soon.

SwiftLake is a good fit for ETL/ELT pipelines, data quality checks, and analytical workloads where spinning up heavy distributed systems would be overkill.
SwiftLake is open source under Apache 2.0:

  - GitHub: https://github.com/arcesium/swiftlake
  - Blog: https://medium.com/arcesium-engineering-blog/your-data-just-got-swifter-meet-swiftlake-7568cc85ee57

We’re just getting started—would love to hear your feedback and ideas from the HN community.

value: Show HN: SwiftLake – Lightweight SQL Engine for Iceberg Tables

author: mothukur


value: maurin

value: I missed the GitLab integration of Claude Code for GitLab, but it should be usable with GPT models. That's why I forked an existing half-working solution, switched over to OpenCode, and added an MCP server with the most important tools. Hope you like it!<p>In the future I want to make the MCP Integration more modular so that it is easy to configure new MCP Server.

value: Show HN: @Agent for Gitlab

author: maurin

title: Show HN: @Agent for Gitlab


value:
I’ve released rkik v1.10, a lean Rust tool to inspect NTP servers, compare offsets/RTTs, and optionally perform a one-shot system clock sync on Unix.
Repo: https://github.com/aguacero7/rkik
For those who dont know what it does:
- Probe a single NTP server or compare multiple in one shot
- Text / Simple / JSON outputs for humans or scripts
- Fractional timing controls: sub-second --interval and --timeout (e.g., 0.1, 0.25)
- Optional one-shot sync to “server UTC + half RTT” (Unix only)
- Dry-run mode to validate the sync workflow without touching the clock
What’s new in v1.10
Clippy integrated in CI with lints as errors (consistent quality)
- Sync module public API cleaned up (no more rkik::sync::sync double path)
- Sync feature enabled by default in builds/packages
- "--interval" and "--timeout" now accept fractional seconds
- "--dry-run" for sync to verify flows in CI/scripts
Usage
Installing it is very simple using cargo:
cargoo install rkik
Single server probe:
rkik time.google.com
Compare multiple servers (10 requests, 200 ms apart), simple text:
rkik -C time.google.com time.cloudflare.com --count 10 --interval 0.2 --short
JSON output (pretty-printed):
rkik pool.ntp.org -jp
One-shot sync (Unix; needs root or CAP_SYS_TIME):
rkik --server time.google.com --sync
Notes / caveats
- Sync requires privileges (root or CAP_SYS_TIME). Dry-run works without them.
- If a time daemon (chronyd/systemd-timesyncd) is active, it may readjust your clock afterward; that’s expected.
Roadmap / feedback
I’m aiming to make it a PTP / NTS protocols Diag tool, I want rkik to become a real Time servers monitoring and analysis toolbox. Suggestions on output ergonomics, useful stats for CI/observability, or packaging for your distro or even github contributions are very welcome.
Happy to answer questions and take feedback!

value: Show HN: Rkik – A light, efficient NTP diagnosis tool written in Rust (v1.10)


value: flinkerflitzer

value:
I'm Jordan, the developer of Top Down Sprite Maker. Like the name suggests, my program is a pixel art character customizer. But wait, there's more! Unlike pretty much every other program in that niche, my program supports multiple "sprite styles", and let's you create and share your own. A "sprite style" combines an art style, supported directions (whether 4, 6, or 8), animations, layers and assembly rules into a cohesive system of character customization. Sprite styles are defined by a single script file and packaged as ZIPs. They can then be shared, uploaded to the program, and immediately used to customize characters and export sprite sheets.
The video description has lots of useful resource links as well if you want more information.
Thanks for your time. Let me know what you think!

value: Show HN: I made the ultimate pixel art character customization program [video]

author: flinkerflitzer


value: Akzid

value:
I built an iOS app for accurate offline coordinate conversion. It’s meant for anyone who works with coordinates in the field – outdoor users, professionals, military, or pilots.
Key features:
• Convert between DD, DDM, DMS, UTM, MGRS, SWEREF99, RT90, and Plus Codes
• Fully offline – no account, no tracking, no subscription
• Built-in global VOR/NDB database
• Interactive map with pin placement
• Multilingual support (English, Spanish, German, French, Swedish)
• Dark/light mode toggle
Privacy was important to me: all processing is done locally on-device. Location is only used (if enabled) to fetch your GPS position and is never sent anywhere.
I’d love to hear your feedback, especially what features you’d like to see added or improved.

value: Show HN: CoordTool – Offline Coordinate Converter

author: Akzid


value: opsconjurer

value: Show HN: DevOps Alchemy – Little Alchemy with DevOps Elements

author: opsconjurer


value:
we're working on health monitoring everyday clothes! Started earlier this year with our first prototype and currently iterating. currently tracking body posture and heart rate.
Any feedback welcome :)

value: Show HN: Health monitoring everyday clothes [video]


value: Show HN: Nice Editor for Mockups and Screenshots


value: akarshc

value: Each day you set just three key tasks. The constraint might seem strict, but it pushes you to focus on what really matters and makes it far more likely you’ll get them done.

value: Show HN: 3-Tasks – AI powered productivity tool that limits to 3 key tasks a day

author: akarshc


value: attakei

value: Document is here: https://atsphinx.github.io/qrcode/

value: Show HN: Atsphinx-qrcode – Sphinx extension to generate QR code in document

author: attakei


value: ogora

value: Show HN: Fuzzy Matching in Excel: A Solution for Mac Users

author: ogora


value: fxuniverse

value:
Built ZeroAds to stop manually skipping podcast ads.
Paste any public RSS, we transcribe (Whisper), detect sponsor reads, cut with FFmpeg, and publish a clean RSS you can add to Apple Podcasts/Overcast/Pocket Casts.
Typical run time: ~5 min for a 60-min episode on current infra.
Accuracy is ~90%+ on host reads/dynamic insertions in our tests. Hard cases: ad-like mentions blended with content.
Founding price: $5.99/mo (covers infra + a creator compensation pool).
Would love feedback on edge cases, false positives, and pricing.

value: Show HN: ZeroAds – AI removes podcast ads and gives you a clean RSS

author: fxuniverse


value: stephenbuilds

value:
Paper is a new design tool. We launched into open alpha today. Anyone can now sign up and use Paper.
We started Paper about 1 year ago with the goal to bring more creativity back into design tools. It feels like the existing options are becoming increasingly corporate.
To celebrate to launch, we published a new shader that lets anyone see their logo in Apple's new heat map animation style. There is no sign-up needed at heat.paper.design.
We're always looking for feedback from anyone who uses Sketch, Figma, Photoshop, or Illustrator, about what they most need in their professional design tools.
Have fun with the new shader and please send me anything you make!

value: Show HN: Paper's Heat Map Shader

author: stephenbuilds

title: Show HN: Paper's Heat Map Shader


value: Show HN: A text decorator for making text aesthetic with Cool Unicode symbols


value: mceoin

value:
Hi HN, I’m Eoin, founder of Sourcetable (https://sourcetable.com).
Today, we’re launching Superagents. You can now connect your spreadsheet to any database, API or MCP server on the Internet. All of that data is available inside your spreadsheet, and you can use AI to analyze it and build models, reports and visualizations.
The reason I started the company is because I spent 10 years at startups across engineering and operations roles and realized that Excel and Sheets weren't architected for the modern information environment. This creates a tremendous amount of nuisance and busywork cobbling together SaaS tools, reporting suites, and the misery of endless coordination meetings to make it all happen. (Boo meetings!)
Spreadsheets aren’t just a business application: they’re the original thinking tool. The quality of these tools has a downstream impact on analytical thinking and creativity writ large, so this is a problem worth solving. Fast forward to today, we’re a 6 person team taking on Excel, Sheets and ChatGPT, so we’re excited to hear what you think!
Who are Superagents for?
Analysts, operators, and anyone doing data-centric work in spreadsheets. We see a tonne of finance people, of course, but also students, researchers and mom & pop shops. Sourcetable's superagents democratize data access and analysis, which is nice because our company’s mission is to make data accessible to everyone.
Why “Superagents”?
Because they can plan and orchestrate other task-specific agents to complete your work for you. We have a lot of different AI tools and agents inside Sourcetable, but there’s a whole lot more on the Agentic Web. Superagents are like the conductor that coordinates them all and calls on them when needed. Also, it’s a fun feature name (thanks, Alyssa!)
If you remember the linked-data dream of the semantic web movement, that future is now: all of your business data is available and connected in Sourcetable.
How does it work?
Sourcetable is running a python virtual machine under the hood. Everything is sandboxed, and there are hundreds of AI tools and libraries our AI can access. Superagents are also doing code-gen on the fly to solve problems. The closest system we have found is Replit’s sandboxed operating systems. Beyond that Mixtral, ChatGPT and Anthropic offer some limited data connectivity features, except these AI chat services lack the storage, compute, and code execution that Sourcetable and Replit provide. This is all very new.
How is this different to your previous data connectors, etc?
We started out using ETL services to sync data and provide a GUI-driven PowerBI like experience in your spreadsheet. This was useful for people who knew SQL and how to write joins to combine fragmented data, but for everyone else (read: practically everyone), this solution just didn’t provide the frictionless, self-serve experience that we wanted.
Our choices were to switch the GTM motion or change the product, so we shelved that reporting suite and focused on our AI spreadsheet and waited for models to catch up with our ambitions. Now that they have, we’re re-launching Sourcetable with our original goal in mind: building a spreadsheet-based operating system for the Agent Web, with fully networked data access for everyone on your team.
AI is the great UX enabler.
Caveats:
* We heavily use Postgres, Google Analytics, Stripe and Google Search Console with Superagents.
* We haven’t tested every endpoint on the Internet. We find that mainstream, well documented applications work best.
* Yes, you can write data back to 3rd party applications and databases. We generally advise against this unless you understand the risks involved in giving AI write-access to your data.
Bonus round:
* All data connectors added during this launch week are FREE. (Regular AI messaging limits still apply.)
Product Feedback?
eoin@sourcetable.com

value: Show HN: Superagents – connect spreadsheets to any database, API or MCP server

author: mceoin


value:
hey folks, I'm founder of Maybe Don't AI where we're building guardrails for AI agents. Because often when AI agents are acting your behalf you'll need to stop them and say, "maybe don't do that".
As an amusing thought experiment I implemented Asimov's three laws in our non-deterministic policy engine—right now it sits as an MCP gateway. Yes can you use this YAML to actually run your gateway. Probably they aren't the most practical guardrails right now
Why? Because right now AI isn't really out to kill us or disobey us. The bigger problems we have (and what we're actually solving) is more like, "I want a flight from Denver to Detroit" but then the AI decides the best flight is by way of Dubai—this is what Maybe Don't actually prevents.... but the YAML will work.
Go kick the tires for sh*ts and giggles.

value: Show HN: Asimov's three laws, a working implementation (don't use in production)


value: robgehring

value: Show HN: Transcribe research interviews with domain-trained AI

author: robgehring


value: ieuanking

value:
Hi HN,
We built Ubik because no available Chatbots, AI research platforms, or AI PDF analysis tools could highlight text down to the line level in the file.
Why is this important?
Researchers, academics, scientists, and students lack the tools to help produce usable research while elevating workflows without over-automating the steps between A-Z. They also need to trust the accuracy of output/analysis generated by the agents & models, and confidently gather quotes, sources, and citations for scholarly papers.
Key Features of Ubik:
Search academic databases and convert open-access papers into AI-ready docs.
Use enhanced OCR + PDF analysis tools.
Make AI notes in PDFs that highlight text down to the line level.
Reference files when prompting using the @ symbol (like Cursor), which minimizes hallucination and improves output.
Generate high-level text with citations and use over 20+ models.
We are working on a custom EVAL suite and will publish our findings soon.
Please reach out with any comments, questions, or critiques.

value: Show HN: I built research agents because GPT cant accurately hilite txt in files

author: ieuanking


value: big-nacho

value:
I've just made public a library to perform real time visual saliency detection on videos (but static images are also supported).
This started a couple months ago when, while working on another project, I ended up side-tracking and overkilling as usual. I'm pretty happy with the result and I think it could prove to be a useful piece of software.
It should work on both Linux and macOS, but I'm yet to test Linux cause I only have a mac at hand. Windows may be doable through WSL.
GitHub: https://github.com/big-nacho/dosage
Showcase: https://big-nacho.github.io/dosage-docs/showcase.html

value: Show HN: Real time visual saliency detection

author: big-nacho


value: aurellius

value:
Hi HN!
I’ve always been a fan of application launchers, and I was impressed by the approach the Raycast team took — especially their extension system. About six months ago I started building something similar for Linux, aiming to integrate deeply at the OS level and give extensions a lot of power.
Vicinae is written in C++ with Qt Widgets. I chose Widgets over QML for more imperative control of the UI, especially around extension handling. So far that’s worked well — modern C++ is great.
To support my goals I built a number of custom widgets, including a fully virtualized list that can efficiently render tens of thousands of items. That gave me a lot of respect for Qt — it’s a powerful framework that mostly stayed out of my way.
A key feature is support for Raycast extensions (React + TypeScript), most of which can be installed and used directly inside the launcher (though not all features are implemented yet). There’s also a native API package (@vicinae/api) for writing Vicinae-specific extensions with additional capabilities. This required writing a custom React reconciler — surprisingly straightforward, though still unpolished.
Like Raycast, Vicinae ships with powerful built-in modules, but the goal isn’t to make a clone. I want it to grow into its own project that fits the FOSS model better, while staying compatible with the Raycast ecosystem. I also plan to bring it to other OSes eventually.
I’d love feedback on the technical approach, and suggestions for what would make this useful to you. Contributions are very welcome — I’ve already been pleasantly surprised by how quickly people started helping.
Docs: https://docs.vicinae.com
Repo: https://github.com/vicinaehq/vicinae

value: Show HN: Vicinae – A native, Raycast-compatible launcher for Linux

author: aurellius


value: aytuakarlar

value:
Over the past few months, I’ve been building Project Chimera — a prototype AI agent that integrates three reasoning paradigms into a single decision-making system:
- Neuro (LLM) for creative strategy generation
- Symbolic for enforcing business rules and safety constraints
- Causal for predicting the long-term impact of actions
I tested this hybrid agent in a 52-week realistic e-commerce simulation with dynamics such as price elasticity, brand trust, ad ROI, and competitor effects.
Key results:
- Outperformed LLM-only and LLM+Symbolic baselines
- Avoided catastrophic losses by simulating long-term causal impact
- Achieved nearly 2× profit improvement through periodic causal retraining
Resources:
- Live demo: https://project-chimera.streamlit.app/
- GitHub: https://github.com/akarlaraytu/Project-Chimera
I’d appreciate feedback from the HN community — especially on methodology, experiment design, and potential real-world applications beyond e-commerce.

value: Show HN: Project Chimera – Hybrid AI Agent Combining LLM, Symbolic, and Causal

author: aytuakarlar


value: As a fun side project, I took it upon myself to see how I could visualize a Redis DB within a Roblox world. I leaned on Claude Code for assistance, which actually worked wonderfully for this small personal project.<p>Let me know your thoughts, ideas, or questions!

value: Show HN: Visualize Your Redis DB in Roblox


value: erichi

value: Show HN: Shellcast.tv – Stream your vibe coding

author: erichi


value: yangyiming

value: We sell folding stool,folding camp chairs,portable chair,Collapsible Stool,Expert review of the ALEVMOOM Portable Collapsible Stool with 1000lbs capacity. Perfect for camping, hiking, gardening and outdoor activities. Compare with other folding stools.

value: Show HN: Trusted Source for Portable Seating Solutions

author: yangyiming


value:
I'm the founder of eigenarc, an AI powered personalized course generator, that can generate course plan and course content based on your goals, time commitments, what you want to learn or accomplish.
Here are some sample courses:
https://eigenarc.com/plan/quantum-computing-mastery-from-beg...
https://eigenarc.com/plan/4-week-senior-software-engineer-in...
Looking for feedback on the product and any feature that would make it more appealing to you.

value: Show HN: Personalized Learning Pathways

title: Show HN: Personalized Learning Pathways


value: apimade

value:
I work in cybersecurity and find that visualizing data flows across multiple disparate systems is incredibly difficult, and often immediately useless (ie the day you author something, is the day it's out of date). I started to think about what sort of novel ways you can demonstrate things like data sprawl, and the issue compounding over time.
This got me thinking about stuff like "is there rendering programs you can use to visualize data like water pipes?"
Of course the WebGL ecosystem isn't quite there, and I wasn't about to learn video production or rent a rendering farm, but I figured I already regularly abuse stuff like PlantUML and Mermaid diagrams for these ad-hoc tasks.. So, why not see if we can animate the paths in SVGs?
In an evening I came up with this demo repo. The initial idea was to add `id` like "A-->B" to each line between nodes (edges), and use an external animation library like GSAP to make it pretty.
.. Then I just sort of.. Kept going.

value: Show HN: Mermaid-animate, GSAP animations for Mermaid sequence and flow diagrams

author: apimade


value: eternityforest

value:
Still a work in progress, but it's usable.
This lets you create "tag points", which are variables with metadata,
view and set their state from the web, and create basic automations via the web.
The automations are based on state machines, where each state has a list of "bindings", that set one variable to an expression as long as you're in that state.
Every state also has a variable, so you can enter it by setting it to 1.
There's a (currently unsecured, meant for private WiFi only) WebSockets API, and a Python client.
WiFi Power Saving is supported, power consumption is ~7mA when connected to WiFi, but you have to compile under PlatformIO with the right sdkconfig(There's an example code file).
There's a tiny command shell, which lets you dump the files and then push them to a new device.  It is just some regexes, but it pretends to support here docs(They have to start with cat << "---EOF---" > FILENAME
) so that the dumps can be syntax highlighted.
There whole thing is modular, you don't need to use the web based automation features.
One of the modules is MP3/WAV playback, with a background track and an FX track.
Still some bugs, missing features, and especially missing docs, but I thought I'd post it now under the "release early" rule!

value: Show HN: ArduinoCogs adds web-based dashboards and config to ESP32 projects

author: eternityforest


value: mattzcarey

value: Show HN: Open-source MCP Tester Agent – Can Claude use your MCP server tools?

author: mattzcarey


value:
Hey HN!
I built HardView, a cross-platform project for Windows and Linux that provides hardware information and monitoring. It combines Python, C++, and C libraries, with optional kernel drivers, giving developers a unified interface for accessing system and hardware metrics.
Supported Platforms: Windows and Linux, Python 3.8–3.14
Install (Python):
pip install hardview
More info / Docs: GitHub: https://github.com/gafoo173/HardView | Docs: https://gafoo173.github.io/HardView/
The project is MIT licensed, with some CLI/GUI tools under GPL3.
Would love feedback from HN on performance, usability, and API design.

value: Show HN: HardView – Cross-Platform Hardware Info and Monitoring (Python/C++/C)


value: eigenvalue

value:
See code here:
https://github.com/Dicklesworthstone/letter_learning_game
And Tweet about the making of it here:
https://x.com/doodlestein/status/1965496539645628688?s=42

value: Show HN: Open-Source Game for Kids for Learning Letters and Phonics

author: eigenvalue


value: obinexus

value:
Hi HN! I'm Nnamdi from OBINexus Computing. I've been working on LibPolyCall, a program-first protocol that eliminates language barriers in distributed systems.
The Problem: Every API needs separate implementations for Python, Node.js, Java, etc. This creates duplicate code, maintenance nightmares, and debugging hell across microservices.
Our Solution: LibPolyCall provides:
Single API definition → automatic polyglot implementations
Zero-trust security at the protocol level
Cryptographically-seeded GUIDs for perfect bug reproduction
Silent telemetry capturing every interaction
Hot-swappable adapters without downtime
Key Innovation: We've moved from "binding-first" to "program-first" architecture. Instead of writing language-specific bindings, you define your API once and LibPolyCall handles the translation.
Real Metrics:
Reduced integration time by 75% in pilot deployments
Zero-overhead FFI calls through direct memory mapping
100% state reproducibility for debugging
Supports Python, Node.js, Rust, Go (more coming)
Use Cases:
Legacy COBOL systems talking to modern microservices
Cross-language microservice communication
Unified telemetry across polyglot systems
Hot-swapping components without downtime
Currently in v1trial. Looking for feedback from teams dealing with polyglot complexity.
GitHub: https://github.com/obinexus/libpolycall
Docs: github.com/obinexus
/libpolycall/docs
Video Demo: ionhttps://youtube.com/@obinexus/playlists (search libpolycall)
Happy to answer questions about the architecture, zero-trust implementation, or our approach to solving the polyglot problem!

value: Show HN: LibPolyCall – Zero-Trust Polyglot FFI with Perfect State Reproduction

author: obinexus


value:
Text:
Hi HN! I'm Nnamdi from OBINexus Computing. RIFT stands for "RIFT Is a Flexible Translator" – a compiler toolchain that's a direct competitor to YACC, but designed for rapid language development.
The Problem: YACC takes 6 months to learn and 6 months to build a prototype. That's a year just to start. It's not compile-time safe, and it's painful to work with.
RIFT's Solution:
Configuration-based language building (not code generation)
Compile-time safety through token triplets (type, memory, value)
Stage-bound execution pipeline (0-6 stages)
R-syntax for inline regex without escape hell
Build a working language prototype in days
Key Innovation: The token triplet system ensures compile-time safety:
ctypedef struct {
    token_type;    // identifier, keyword, constant
    token_memory;  // static, dynamic, fluid
    token_value;   // immediate, deferred, computed
} rift_token_t;
Real Usage: I'm using RIFT to build GosiLang – a polyglot language that talks to any programming language (interpreted or compiled). What took a year with YACC now takes weeks.
Technical Details:
Written in C (migrating to Rust for R-syntax support)
Stage-bound configuration: .riftrc.N files
Error zones: 0-3 (OK), 3-6 (Warning), 6-9 (Critical), 9-12 (Panic)
Detach mode for full language independence
Currently building the community around RIFT philosophy. Looking for "RIFTers" who want to build languages without the traditional pain.
GitHub: https://github.com/obinexus/rift
Video walkthrough: https://www.youtube.com/watch?v=rLkzHF7LXUA (28min technical deep dive)
Ecosystem: https://github.com/stars/obinexus/lists/the-rift-ecosystem

value: Show HN: Rift (Flexible Translator) – Build Languages in Days, Not Years


value: munifex

value: Show HN: Backwalk – A lightweight backtrace library written in C

author: munifex


value: ddaras

value: Show HN: Melony – React toolkit for AI chat interface

author: ddaras


value: computerex

value: I built this to help me keep up with what's going on in AI. The content filtering algorithm gives precedence and highlights valuable/informational/educational content.

value: Show HN: Ainews247.org aggregates the most valuable AI related news/content 24/7

author: computerex


value: qwikhost

value: TikTok Videos Downloader - Download TikTok videos in bulk. Save from any profile fast, easy, and free.

value: Show HN: TikTok Videos Downloader

author: qwikhost

title: Show HN: TikTok Videos Downloader


value: yangyiming

value: Today Lucky Number is a free online tool that generates personalized lucky numbers for you. Whether you're looking for random numbers for games, decisions, or just for fun, our lucky number generator provides instant, customizable results

value: Show HN: Generate Your Lucky Numbers

title: Show HN: Generate Your Lucky Numbers


value: hpen

value:
A keyframe editor/runtime that integrates with the native animation system for iOS, Web (React), And Android.
Website coming along too https://www.inertia.graphics

value: Show HN: Inertia – A keyframe animation editor for mobile apps

author: hpen


value:
I built Subway Wrapped because I thought it would be cool to see my NYC transit habits the same way Spotify shows your music year in review. You upload your OMNY trip history csv and it creates a personalized summary of how you've traveled around the city.
You get to see things like your busiest month, favorite travel day, spending patterns, and whether you're more of a night owl or early bird commuter, etc.
Check it out if you're curious about your own travel patterns! Feedback is always appreciated!

value: Show HN: Subway Wrapped. Your NYC transit year in review


value: buglungtung

value:
I just explored the Kokoro TTS model last week to generate audio for my needs. There are many cool projects already existing (Kokoro-FastAPI, kokoro-web), but they miss one of my needs (queuing audio generation) so I decided to build a simple one with queuing.
Link: https://github.com/kanthorlabs/sayathing
The most highlighted feature is async processing with a background task queue backed by SQLite.
The second feature is that audio will be saved as base64, and it’s very convenient for me to integrate with other systems in my homelab.
Let's try and enjoy it.

value: Show HN: Sayathing – Open-Source platform that gives your text a voice

author: buglungtung


value: tomstig

value: Transform your photos into authentic GTA style artwork with GTA AI. Quick, easy, and stunning results in seconds. Explore the future of image transformation!

value: Show HN: GTA AI – Convert Your Photos to GTA Style Artwork

author: tomstig


value: DATAIZE

value:
We built Onco-Insight for clinicians and cancer researchers who need survival analysis and machine learning without having to navigate complicated menus in SPSS/SAS or write code.
Onco-Insight is powered by Claude Sonnet 3.5 (AWS Bedrock), but instead of just providing code snippets, it uses a hybrid UI. You start by describing your task, for example, "KM for OS with stratification by stage; then Cox with age/ER status". The AI agent then suggests a plan, including the models, variables, and checks.
The Human-in-the-Loop (HITL) step allows you to review and confirm the plan. This includes checking the model list, predictors, censoring rules, time/endpoint, and key considerations like competing risks, which can significantly affect survival outcomes.
After a one-click run, Onco-Insight executes the pipeline and provides the results, assumption checks, and an interpretation in plain English. You can then iterate by accepting or refining the agent's next steps, such as proportional hazards diagnostics, RSF benchmarking, or calibration.
Why this approach?
We found that while large language models (LLMs) are great at planning, they can be unreliable if they just make you copy and paste code. Our agent + HITL approach gives you control while eliminating boilerplate work. Most runs provide plots/tables, model diagnostics, and a concise draft of the methodology and interpretation.
What's included today?
Survival Analysis: Kaplan-Meier (grouped), Cox PH (with PH tests), AFT (select families), RSF (out-of-bag metrics), and time-dependent AUC.
Data Guards: Missingness reports, event/censor checks, leakage checks, and basic harmonization to mCODE/FHIR fields when available.
Data Sources: You can use your own datasets as well as public data commons like SEER.
Outputs: The tool generates figures/tables and an auditable "analysis plan" that shows what was run, the parameters used, and QC steps.
What we'd love feedback on:
Are the Human-in-the-Loop (HITL) checkpoints sufficient? (e.g., specifying variable types, time origin, left truncation, competing risks).
Which survival/machine learning diagnostics are most important to highlight in the UI?
What are the essential outputs needed for clinical journals or registries?
We're still in the early stages and are currently in beta with hospital partners. We're happy to answer any detailed questions you have about validation, reproducibility, and data handling.
Thanks!
Team DATAIZE (https://dataize.me)

value: Show HN: Claude-Powered Survival Analysis with One-Click Models (Onco-Insight)

author: DATAIZE


value: konsumer

value:
This is a 2D game-engine that runs user's code from WASM, so you can make a game in any language that can target that. It's designed for learning about programming, and just having a quick place to try out ideas in whatever language you like. Games runs in the browser and native. You bundle your game (wasm) and any assets into a zip file, and you can also make a standalone native game, similar to how love2d works (copy the cart + executable together.)
Currently, I have full support for games written in C, js and nelua, but more will come soon (I auto-generate headers from a central API definition to make it easier to make games in each cart-language.)
I have the main API I want to support (WASI + lots of game-helpers and callbacks for drawing/sound/input/etc) complete, so the next phase for me is adding more cart-languages & examples, and improving the docs.
Let me know what you think!

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value: Free PC Bottleneck Calculator - Check CPU & GPU bottleneck analysis. Find out if your processor will bottleneck your graphics card.

value: Show HN: Bottleneck Calculator

title: Show HN: Bottleneck Calculator


value: juhovh

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My elderly parents are behind a 5G connection in rural areas, and I help them manage their network from overseas. I found a reasonably priced 5G router that can do external antennas required for it to work, but the only reasonable ways to get access to it is either through OpenVPN or WireGuard, the latter of which is much more lightweight and preferred with the memory constraints of the device.
The problem with WireGuard is that it requires handling key management oneself, and configuring the keys to every device you want to access it from. It also doesn't play nicely together with other VPNs, meaning I ended up connecting and disconnecting VPNs whenever I wanted to use them. This is especially evident on my phone, which only allows one VPN app at a time.
I was already using Tailscale as an easy way to handle homelab access with SSO, even if some computers are behind ISP CGNAT, and came up with this idea of spinning up a Docker container to connect the two. I found some suggestions for it online, but nothing ready to use. It ended up being more work than I expected to fine tune the routing, IPv6, firewall settings, re-resolving the DNS of the router on IP address changes etc.
I got it very stable eventually though, and wanted to share with everyone else. I think it's cool to have the WireGuard router looking like any other Tailscale node in my tailnet now.

value: Show HN: TailGuard – Bridge your WireGuard router into Tailscale via a container

author: juhovh


value: LandenLove

value:
I made a simple bash script for installing programs, configuring settings, and installing dotfiles for Arch Linux.
I made it because I always missed tedious tiny settings tweaks when installing Arch.
It's a really simple script, so you can change whatever you want.
I haven't done enough testing with a fresh install, but it should be safe to run the script multiple times (if you want to).
The rice is still a wip.

value: Show HN: Program and dotfile post-install script for Arch Linux

author: LandenLove


value: deevus

value: Show HN: Better editor integration for your C/C++ projects using Zig build

author: deevus