value:
Hi HN,
I’ve been building 120 AI Chat, a native cross platform app (macOS - ready, Windows and Linux - coming soon) designed for working with multiple AI models in a fast and clean interface.
The latest release (0.3.0) includes:
- Anthropic and Open AI support via your own API key
- Local models via Ollama: Llama 3.2, Mistral, Deepseek R1, and Gemma 3
- Multi-threaded chat: branch off conversations without losing context
- Chat settings: context limit, temperature, penalties, top-p, output tokens
- Message tools: edit, delete, copy
You can try it out for free (no license required). A $39 license unlocks all features for those who want to support early development.
120 AI Chat is part of a broader suite of native tools I'm building, including:
- [120 Email](https://120.dev/120-email): AI-assisted native email client
- [120 Table](https://120.dev/120-table): Table UI with built-in charting
- [120 HN](https://120.dev/120-hn): A free native Hacker News reader
Thanks for checking out and I would love to hear your feedback.

value: Show HN: 120 AI Chat – Native cross-platform AI chat app


value: wdharmon

value:
LinkedIn has become a carnival of fake engagement, spammy DMs, and job listings that lead nowhere.
After years of watching my resume vanish into the abyss of the "Jobs" tab, I realized it was time for something new.
I’m not alone. I surveyed 1,000 recent college grads—and the vast majority shared the same frustration: Why is there no platform that helps candidates stand out, instead of blend in?
So I built userpitch: a candidate-first public platform where people can showcase who they are—not just what they've done—through short, voice-based elevator pitches.
No feeds. No spam. No corporate jargon. Just real humans, real potential, and real opportunities.
I’m looking to collaborate with both companies and job seekers who believe the hiring process should be more personal, transparent, and human. Let’s build the future of recruiting—together.
All feedback is welcome! Please and thank you!

value: Show HN: LinkedIn sucks, so I built the future

author: wdharmon


value: vinhnx

value: Show HN: VT Chat – Minimal AI Chat

author: vinhnx

title: Show HN: VT Chat – Minimal AI Chat


value: roninthesky

value: Multiple modes of explanations for any STEM topic in a single view that helps with learning a concept thoroughly. Gives ELI5, diagrams, examples, real world usages, more references. Allows to dig deeper into any concept, right click on any section and keep expanding your explanations.<p>You can try the sample questions without any login. Free for use.

value: Show HN: A custom built UI for STEM explanations

author: roninthesky


value: lielvilla

value:
My kids are endlessly curious, always asking questions like “Why do stars twinkle?” or “How do volcanoes erupt?” I love their curiosity, but I found myself constantly searching for good ways to answer them, and without adding more screen time to their day.
Podcasts are great, but kids’ podcasts are often generic and don’t cover their specific questions. I wanted something more personal and engaging.
So I built WonderPods - an app that creates personalized podcast episodes to answer whatever they’re curious about, even saying their name in the story. It turns their curiosity into fun, screen-free learning moments, whether at bedtime or in the car.
We just launched, and there’s a free trial. I’d love your feedback on the idea, the experience, and any thoughts you have on making it better.
*EDIT*
Here’s an example episode for 6-year-old Dana, all about telescopes: https://wonderpods.app/listen/ca56e8be-bf58-4323-ad0f-f3bf67...
In the app, you can also share episodes with people who aren’t users, making it super easy to spread the fun.

value: Show HN: I built an app to turn my kids' questions into podcasts

author: lielvilla


value: Mubelotix

value:
I built SimRepo, a browser extension that adds a “Similar Repositories” panel directly into GitHub repo pages (for repos with 150+ stars). It's useful for discovering related projects while browsing. It's based on a vectorized model trained on GitHub star data.
Repo: https://github.com/Mubelotix/SimRepo
Chrome/Firefox support, no tracking, fully open source.
Would love feedback on the recommendation quality or UX!

value: Show HN: SimRepo – GitHub extension showing similar repositories in the sidebar

author: Mubelotix


value: ttttransformer

value:
Howdy All
We've finally made our product public and available for self-serve. groas is an AI agent ecosystem for optimising every single part of your google search campaigns, from building custom dynamic landing pages to 24/7 keyword research.
Any marketing gurus would be great to get you on it!
Peace
DP

value: Show HN: I Built an AI Agent Ecosystem That Optimises Your Google Ads for You

author: ttttransformer


value: ryanrasti

value: Show HN: Typegres – I made every Postgres function type-safe in TypeScript

author: ryanrasti


value: bjano

value: I found that I am using ChatGPT more and more to get the FFmpeg command I need, but the process can be a bit tedious: copy-pasting commands, dealing with input file names and locations, making sure the prompt contains enough info about the input files.<p>This site attempts to solve that. You just describe what you want to do, pick the input files and an LLM (currently DeepSeek) generates the FFmpeg command. You can then run it directly in your browser or use the command elsewhere.

value: Show HN: FFmpeg in plain English – LLM-assisted FFmpeg in the browser

author: bjano


value: nullpacket

value: Show HN: A simple opinionated tool to organize plans with friends

author: nullpacket


value:
At the moment, there isn't a clear way to deprecate a DockerHub repository. Communicating that the container images are no longer being maintained is essential to the users for a number of reasons.
DockerHub offers the archive feature to mark repositories as read only but that can be automated when you have about 20k+ base images hosted on DockerHub.<p>To solve this, I built a Playwright script that automates the DockerHub UI and mass-archives DockerHub repositories.

value: Show HN: A way to automatically deprecate DockerHub repositories


value: araxnoid

value:
ROTTA-rs is a deep learning library in Rust focused on simplifying AI model creation. ROTTA-rs has now released version 0.0.5, adding many features, including:
- RMSProp
- Adam
- Batch Norm
- Layer Norm
- and new additional features for creating tensors, mean, and simplifying tensor slicing.<p>Version 0.0.5 also adds Dataset and DataHandler to simplify data manipulation, such as shuffling and splitting input into batches.

value: Show HN: Deep Learning library in Rust has released version 0.0.5

author: araxnoid


value:
Hey HN,
A few years ago, when I was working as a freelance web developer, there were many projects that used repetitive layouts and designs
That's when I built my own collection of basic UI components like buttons and all. At that time, I was using CSS, so I styled my components using CSS. Later, I decided to open-source these components, and that’s when I created HextaUI
After a few months, I found out about Tailwind CSS, so I decided to recreate all components with better design, modularity, and accessibility. This time, I also added animated components, not just base components. After building and launching, I left it and went on a break. (It didn’t get any response because I didn’t know marketing.)
Two months ago, I decided to rebuild the entire project—but this time, I wanted to scale it and make it stand out, because there’s a lot of competition. So I rebuilt all base components, made them last versions, and gave it my all
This time, it got a great response in fact, it crossed 50k visitors in just 72 hours
Looking at the response and demand, I created pre-built blocks using the base components and launched them at a minimal price. That also blew up and crossed more than 10 sales and crossed $500 revenue in just 24 hours. I was selling pre-built website blocks and UI components.
What I learned: product matters the most. No matter how many competitors are out there, people still buy good products. If you think, “People are already building what I’m building,” or “There are better options” then build something better. Make something specific. Niche down under that same niche
Just build it.
Preet

value: Show HN: I rebuilt few years old project and now it covers my expenses


value: Solsticebay

value:
Stripe has been holding our funds $800k for account id acct_1PH9EbFcbviG0Uct and I shared about that here. Then we sent physical legal letter, and email too and they are ignoring those too.
Our funds have been held hostage since 2024 December, more than 8 months passed and Stripe did not even touch single cent of it as we have no disputes to cover nor refunds
What are we supposed to do here? People in here seems to be on the side of Stripe unless it happens to them, or mark this duplicate even though it is not (as it's an update).
Stripe support doing this trick now:
- I chat with them, they make me wait exactly 50 mins saying "they are checking wait 5 mins", and this happened like 10+ times
- then they say no they need to convert it to an email
- email ignores my request of when funds will be released
- I ask chat it says you have open thread (even though thread is closed)
- a month passed I chat and it repeats again
So strange part is, 50 mins after I open ticket they close the ticket without any response
What kind of robbery is this? and most importantly why their reputation is so good despite doing things like this and is none really checking Trustpilot. Also why people are so against people who shares things against Stripe, this feels like some type of mob like behavior isn't it?
I can bet someone will flag this post and none will see it too, if you do so, I deeply hope this exact thing happens to you and over 1M of your funds get held
How is it possible company like that who steals people's funds somehow is happy with good reputation and is able to operation, are people really blinded by PR or what is going on here?
And for the people what do you sell, you did not share you are scam: We are Stripe Standard Connect platform, you connect your stripe account to ours, and we bring you users by doing ads if b2c or cold outreach if you are B2B and then take % of sales
I hope someone really puts an end to this, my only choice left is to actually sue them as they are ignoring legal letters and I am not going to honor their arbitration requirement which hides the lawsuit from public and I will show ALL THE IGNORING EVIDENCE. Additionally once a year threshold passes, Stripe will be in violation because as processor you cannot hold someone's funds over a year especially with no disputes

value: SHOW HN: Stripe Ignoring Legal Letters and Holding $800k+

author: Solsticebay


value: arthurdd

value: I just finished packaging a personal project I've been using for years: Perennial Task (prn), a command-line task manager written in PHP. It's designed to be simple and local-first; all your tasks are stored as individual XML files that you own and control.

value: Show HN: Perennial Task (Prn)

author: arthurdd

title: Show HN: Perennial Task (Prn)


value: zoomzoom

value: Coherence is the fastest way to add a chat interface to your app - it has access to your backend data using existing authentication, and supports adding 3rd party data to the agent via MCP servers where Coherence manages all the hosting and OAuth headaches.

value: Show HN: Coherence – 5 min agentic chat SDK

author: zoomzoom


value: kirchoni

value:
I suspect a lot of resumes — especially the ones designed in Figma or exported from Canva — look great to humans but get completely butchered by resume parsers.
Most of these systems don’t use vision or layout — they just extract raw text. And if the PDF is made of outlines, floating layers, or flattened design, there’s often nothing to extract
So I built this thing: ghostCV
- It takes your visual resume
- Lets you write what you want the AI to see
- And embeds that as transparent text in the PDF
The result: the parser sees clean text, the human sees your design, and nobody knows the difference.
Is this sketchy? Maybe. Useful? I think so.
No login. No tracking. Just a tiny hack for anyone who’s been ghosted by a bot
Curious what HN thinks — anyone else try this kind of thing?

value: Show HN: GhostCV – embed AI-readable text in your resume (without losing design)

author: kirchoni


value:
Hi HN,
I’ve been working on Downalytics (https://www.downalytics.dev), a lightweight tool that helps open-source maintainers and small projects track binary downloads from GitHub releases. You route downloads through a generated or custom domain (via CNAME), and I log metadata like version, arch, OS, and country (where available). Think of it like a minimal redirector with analytics.
It’s aimed at projects that publish binaries (e.g., via CLI tools), and want to understand which versions are being used, and where adoption is happening, without needing to host their own infra.
Current features:

    GitHub OAuth to connect repos

    Tracked download URLs via CNAME or generated subdomain

    Basic dashboard with counts by version, platform, etc.

    Free OSS tier, small paid tier for custom domains/more projects

A few things I’d love feedback on:

    Is this something you (or your project) would use?

    Would you be comfortable routing downloads through a third-party like this?

    Any blockers that would make you hesitate (trust, branding, utility)?

    Does the pricing model (OSS-friendly free, $5/mo Starter) make sense?

I’m early-stage, hosted on Fly.io, trying to keep things lean and open for feedback. Thanks for any thoughts!
Owen

value: Show HN: Downalytics – Track OSS binary downloads via custom domains


value: unclet

value: Show HN: Free DNS domain name of zz.ac

author: unclet

title: Show HN: Free DNS domain name of zz.ac


value: davidngugi

value:
Hey HN,
I've been a developer for years and always struggled with one thing: underselling my technical achievements on resumes and in interviews.
I often find myself being shallow on a project like "Built a web app in React for an ecommerce platform" vs "Architected React/Node.js microservices with PostgreSQL, Redis caching, and Docker deployment"
I decided to automate this process and help keep track of things I've worked on. So I built Git Achievements, an AI-powered GitHub repository analyzer. It extracts technical achievements, complexity, and tech stack. It also generates professional summaries and interview talking points from your project and you can export to PDF, Markdown, or JSON
It uses your own API keys (OpenAI/OpenRouter), zero data storage on my end.
A Real example from my own repo:
Instead of "Built a web app in React," it found:
- Implemented real-time data processing with WebSocket connections
- Integrated Google Analytics with custom event tracking
- Built responsive UI with Framer Motion animations
- Created automated deployment pipeline with rate limiting
Tech stack:
- Next.js 14, TypeScript, Tailwind CSS
- Clerk for auth, Zustand for state management
- Framer Motion for animations
- Export utilities for PDF/Markdown/JSON
Plus it gave me some good talking points
I love Privacy-first products, so your API keys stays encrypted in your browser
It never stores repository data and I never get to see anything you worked on. All analysis happens on your browser!
Built this in 24 hours because I needed it out the door ASAP. The AI analysis is surprisingly good at picking up architecture decisions, performance optimizations, and integration complexity.
It will only get better. I'm still cooking and have already built the next version with improved analysis, better UI and actual project references (commits, PRs etc)!!
Would love feedback from the HN community! What features would you find most useful?
Try it free at https://git-achievements.com/

value: Show HN: I built an AI tool to retrieve technical achievements from your GitHub

author: davidngugi


value: larose

value:
Hi HN,
After seeing DeepMind's AlphaEvolve [1], I wanted to try building something similar. This isn't the first open-source attempt [2] [3] [4], and it won't be the last, but I focused on making mine more modular and customizable to make experimenting with different evolution-based approaches or prompting strategies easier (e.g. balancing exploration and exploitation).
The vision is to make it easy to swap components and experiment, though there's still work to do.
I'd love any feedback.
GitHub: https://github.com/larose/optiverse
[1] https://news.ycombinator.com/item?id=43985489
[2] https://github.com/codelion/openevolve
[3] https://www.saipraneeth.in/ml/building-evolve
[4] https://github.com/paperswithbacktest/pwb-alphaevolve

value: Show HN: Optiverse – Evolving Code with LLMs

author: larose


value: Show HN: Pg-when– psql extension for creating time values with natural language


value: mutlusakar

value: We built this small tool to help fellow founders who are stuck trying to figure out who their real competitors are.

value: Show HN: We built a Competitor Finder AI for early-stage startups

author: mutlusakar


value: emanuelgordis

value: Trim is building a foundation model for physics. We found almost all well-maintained transformer-based architectures are optimized for language models. We’re releasing our own open-source transformer package that is optimized for physics. It achieves a 90% reduction in memory usage and a 3.5x speedup in a standard Navier-Stokes dataset.

value: Show HN: Trim Transformer: A transformer for physics models

author: emanuelgordis


value: rwgreen

value:
I built Hapstack - an ultra fast, lightweight browser extension for Google Workspace that gives you instant visibility into your SaaS stack—what tools are being used, by whom, and how often.
* Deploys in 60 seconds
* See 6 months of historical app usage
* Uncover underused tools, shadow IT, and category overlap
* Reduce wasted spend and simplify offboarding
No surveys, no setup. All your tools are tracked automatically.
I’d love your feedback and are offering early users free access.
Try it out: https://www.hapstack.com

value: Show HN: A Chrome Extension to Reveal SaaS Sprawl, Shadow IT, and Waste

author: rwgreen


value: lukehaas

value: RunPy is a playground app that gives you a quick and easy way to run Python code. There's no need to create files or run anything in the terminal; you don't even need Python set up on your machine.<p>It's handy for learning, teaching or doing quick experiments. Available for mac, windows and linux. Please give it a try, and I'd be really keen to hear any thoughts, feedback or ideas for improvements. Thanks!

value: Show HN: RunPy – simple desktop app for tinkering with Python

author: lukehaas


value: friggeri

value:
Today marks ten years, 3653 consecutive days, of running at least one mile every day under the USRSA rules [1]. To celebrate, I built an interactive dashboard that turns a decade of GPX files into charts you can explore.
Running has truly changed my life: I've made lifelong friends, explored beautiful places, and more importantly invested into my own health and fitness, which I'm starting to see the positive benefits as I get older.
The stack is pretty simple: a NextJS app, with a Postgres database to keep all my running data, and all the stats are pre-computed and cached in Redis, so I effectively only hit the database once a day when a new run is ingested. On the fronted, I toyed with the idea of using D3 or pre-existing data viz libraries, but ended up rolling my own using SVGs directly, it gave me more control on the visualizations.
I used the Strava bulk export to pre-populate the database, and I'm using their webhook API to do incremental updates. I have to tap into OpenWeatherMap and OpenCageDate to enrich the running data a little bit.
Happy to answer anything about the stack, data pipeline, or how I stayed motivated for 10 years!
[1] https://www.runeveryday.com Run Streak Association rules: ≥ 1 mile per day

value: Show HN: Ten years of running every day, visualized

author: friggeri


value: grantsingleton

value:
Hi HN! I built arxiv explained (https://arxivexplained.com) to make AI research accessible to everyone.
What it does:
It's a free app with audio explanations of the latest AI research papers. Each paper gets a ~5 minute breakdown in simple language - no jargon, just clear explanations of what the researchers did and why it matters.
Key feature: The app already comes loaded with all the popular and recent AI papers, so you can browse and discover the latest research right away. You don't need to bring your own papers - just open the app and start exploring what's new in AI.
How I use it:
I pop in my earbuds during my commute or while doing chores and listen to explanations of cutting-edge research. It's like having someone explain the latest breakthroughs to you in plain English.
You can also paste any arXiv link to get a custom explanation, but most people just browse the curated collection of recent papers that's already there.
Technical note: It uses AI to analyze papers and generate natural-sounding audio explanations focused on clarity over complexity.
Would love to hear your feedback, especially if you try it with papers from your field!

value: Show HN: I built a tool that explains ArXiv papers in simple language

author: grantsingleton


value: rahulbstomar

value:
I built a free tool to generate realistic-looking credit card details for testing payment forms, checkout flows, and frontend validation.
Key features:
Supports 15+ networks: Visa, Mastercard, Amex, Discover, RuPay, UnionPay, JCB, Maestro, and more
Region-specific formats with a valid Luhn check
Interactive UI with card flip animation
Copy to clipboard or generate a QR code of the card details
No signup, no backend — works offline as a PWA
No tracking or data is stored anywhere
Use case: Testing UIs, building demos, or teaching how payment flows work, without using real card data.
Would appreciate feedback or suggestions from the community!
https://goonlinetools.com/credit-card-generator/

value: Show HN: Credit Card Generator for Devs and Testers

author: rahulbstomar


value: amallia

value: Show HN: Dime – dropping noisy coordinates can lift dense-retrieval quality

author: amallia


value: hiddenest

value:
Hey HN,
I’m Chanhee. I built Caret, the world-most accurate AI meeting notetaker.
I know you already used lots of notetakers and so do I. I tried Otter, Fireflies, Circleback, Granola, Bluedot, tl;dv, and more, but could not find one that satisfies me.
Names and numbers were wrongly transcribed. Summaries don’t give what I really want. So, I decided to build something for myself(and hopefully for you).
It actually works:
- correctly transcribes names and numbers
- understand the context and speakers (ex. designer and dev fighting for button position in a cafe)
- not a bot: works with every platform like Granola.
And added a features I really wanted:
- realtime transcript and translation. I have some hearing disabilities, so I often miss some words)
- cursor-like summary editing experience (+ templates)
- runs everywhere: mac, windows, iphone (but no linux…)
- translucent and gorgeous UI (inspired by the macOS ChatGPT app)
You can try it here: https://caret.so .
Of course, I’d love to hear your feedback. Email me anytime at chanhee.lee@caret.so . I’ll read and reply every message!
Thanks!

value: Show HN: Caret – The world-most accurate AI meeting notetaker (really)

author: hiddenest


value: Show HN: I Made an Idea Swiper

title: Show HN: I Made an Idea Swiper


value: Show HN: Endorphin AI–Run browser E2E tests from plain English with QA AI agent


value: bharatgel

value: Show HN: asyncmcp – Run MCP over async transport via AWS SNS+SQS

author: bharatgel


value: ebukao

value:
Last winter, my girlfriend was working on her university thesis and had to transcribe hours of interviews manually. I ended up helping her by running a local model of whisper and months later I decide to build a product out of it. It is a simple AI transcription tool that lets you upload audio or video and get clean, readable transcripts. It works well for thesis interviews, lectures, podcasts — anything spoken.
- Free plan for up to 30 minutes/month. - Supports audio and video files - Speaker Identification and labelling. - AI insight and summary. - Colorful tags to organize and filter your transcript - Upload custom vocabulary to help improve your transcription - Export to formats compatible with research tools like NVivo, Atlas.ti, MAXQDA, R / RStudio and SPSS - Built with privacy in mind (no training on your data) and many other features
The app is available on www.verbatimly.com
I’d love to get your thoughts — whether you're a student, researcher, or just someone who’s had to type out long interviews by hand. Let me know what works, what doesn't, and what would make it better.
Also, we are proudly made in Germany.
Happy to answer questions or help anyone get started!

value: Show HN: I built an AI transcription app because my gf needed one for uni

author: ebukao


value: felarof

value:
Hey HN, we're a YC startup building an open-source, privacy-first alternative to Perplexity Comet.
No invite system unlike bunch of others – you can download it today from our website or GitHub: https://github.com/browseros-ai/BrowserOS
--- Why bother building an alternative? We believe browsers will become the new operating systems, where we offload much bunch of our work to AI agents. But these agents will have access to all your sensitive data – emails, docs, on top of your browser history. Open-source, privacy-first alternatives need to exist.
We're not a search or ad company, so no weird incentives. Your data stays on your machine. You can use local LLMs with Ollama. We also support BYOK (bring your own keys), so no $200/month plans.
Another big difference vs Perplexity Comet: our agent runs locally in your browser (not on their server). You can actually watch it click around and do stuff, which is pretty cool! Short demo here: https://bit.ly/browserOS-demo
--- How we built? We patch Chromium's C++ source code with our changes, so we have the same security as Google Chrome. We also have an auto-updater for security patches and regular updates.
Working with Chromium's 15M lines of C++ has been another fun adventure that I'm writing a blog post on. Cursor/VSCode breaks at this scale, so we're back to using grep to find stuff and make changes. Claude code works surprisingly well too.
Building the binary takes ~3 hours on our M4 Max MacBook.
--- Next? We're just 2 people with a lot of work ahead (Firefox started with 3 hackers, history rhymes!). But we strongly believe that a privacy-first browser with local LLM support is more important than ever – since agents will have access to so much sensitive data.
Looking forward to any and all comments!

value: Show HN: Open source alternative to Perplexity Comet

author: felarof


value: optimlayer

value: Show HN: Noggn AI: like TikTok, but for your brain

author: optimlayer


value: maxbolgarin

value: I have used this tool for two years and now it becomes a real git swiss knife. I believe it can help many developers

value: Show HN: Gitbasher – A simple bash utility to make Git easy to use

author: maxbolgarin


value: sillypuddy

value:
I've been frustrated by the quality of our media, it often presents strong arguments for one side, and straw man for the other. So I built a tool where LLMs argue opposite sides of a debate as a way exploring a topic more deeply.
Each side is randomly assigned a model (pro or con), and the idea is to surface the best arguments from both perspectives.
Currently, it uses GPT-4, Gemini 2.5 Flash, and Grok-3. I’d love any reactions or feedback to improve it.
https://www.botbicker.com/

value: Show HN: Learn Through Debates

author: sillypuddy

title: Show HN: Learn Through Debates


value: jacobprall

value: Show HN: The right way to build authorized RAG chatbots

author: jacobprall


value: First version of brplot released!

value: Show HN: Brplot v0.0.1

story_text: First version of brplot released!

title: Show HN: Brplot v0.0.1


value: loocao

value: Discover Sand Blast! Block Puzzle, the innovative puzzle game with satisfying sand physics and colorful blocks. Enjoy endless, ad-free gameplay, offline support, and strategic challenges for all ages.

value: Show HN: Play Sand Blast Block Puzzle Online

author: loocao


value: artiomyak

value: Show HN: Learn times tables and print them

author: artiomyak


value: HenryNdubuaku

value:
Hey HN, Henry and Roman here - we've been building a cross-platform framework for deploying LLMs, VLMs, Embedding Models and TTS models locally on smartphones.
Ollama enables deploying LLMs models locally on laptops and edge severs, Cactus enables deploying on phones. Deploying directly on phones facilitates building AI apps and agents capable of phone use without breaking privacy, supports real-time inference with no latency, we have seen personalised RAG pipelines for users and more.
Apple and Google actively went into local AI models recently with the launch of Apple Foundation Frameworks and Google AI Edge respectively. However, both are platform-specific and only support specific models from the company. To this end, Cactus:
- Is available in Flutter, React-Native & Kotlin Multi-platform for cross-platform developers, since most apps are built with these today.
- Supports any GGUF model you can find on Huggingface; Qwen, Gemma, Llama, DeepSeek, Phi, Mistral, SmolLM, SmolVLM, InternVLM, Jan Nano etc.
- Accommodates from FP32 to as low as 2-bit quantized models, for better efficiency and less device strain.
- Have MCP tool-calls to make them performant, truly helpful (set reminder, gallery search, reply messages) and more.
- Fallback to big cloud models for complex, constrained or large-context tasks, ensuring robustness and high availability.
It's completely open source. Would love to have more people try it out and tell us how to make it great!
Repo: https://github.com/cactus-compute/cactus

value: Show HN: Cactus – Ollama for Smartphones

author: HenryNdubuaku


value: Show HN: Natural language Jira assistant for Slack


value: mpcadosch

value: Hi HN, I've been tinkering/building AI applications that require interaction with spreadsheets (Excel / Google Sheets). Realized that LLMs don't work off-the-shelf when it comes to producing correct, reliable output for spreadsheets, regardless of how you wish to encode it (JSON, markdown, XML, etc.)<p>After prompting, fine-tuning LLMs to work for my applications, decided to expose the functionality as an API to this community. Eager to see if it is helpful/of interest to others. Let me know if you need an invite.

value: Show HN: Prompt to Spreadsheet

author: mpcadosch

title: Show HN: Prompt to Spreadsheet


value: prasadpilla

value:
Hey HN,
Prasad here, I've been using cursor from very early days.
Adding rules to my project really improved the quality and the Autonomity of cursor agent, but it took a good bit of time for me to do that manually.
So I built a tool to generate rules based on the technology and various preferences.
Please check it out.
https://cursor-rules-generator.xyz/

value: Show HN: Cursor Rules Generator

author: prasadpilla

title: Show HN: Cursor Rules Generator


value: HichamCh

value:
Hi HN,
I built a free website that automatically detects faces in the browser and lets you blur/pixelate them client‑side.  Short videos stream to a server for FFmpeg + FD model processing and are deleted later.
* Privacy first
* No sign‑up
* PWA/offline once cached
* Multi‑language UI (i18n‑next)
I’m looking for feedback on perf/UX, and also validate the need (If any...) before adding a Pro tier (longer videos, batch...).
Happy to dive into the code/design.

value: Show HN: FaceBlurify – browser‑only face blurring in <10 s

author: HichamCh


value: mandarwagh

value:
Hey HN,
I built ownyourpixel.fun — a web project where anyone can buy pixels on a global canvas and later resell them, just like digital real estate.
Inspired by the original Million Dollar Homepage, this is a modern version built for today’s internet.
What You Can Do:
 Buy pixels on the canvas — $1 per pixel
Upload/change your image + link anytime
Resell your pixels on the upcoming marketplace
Shareable pixel URLs (auto-zoom and highlight)
Pixels are permanently owned — no one else can buy yours
Why I Built This:
I wanted to reimagine one of the internet's most viral ideas, but with a twist:
What if pixel space wasn’t just bought — but also traded?
This turns digital space into a resellable asset — a kind of open billboard economy where you can flip pixels like micro-domains.
Tech:
Frontend: HTML + Tailwind (React/Canvas version next)
Backend: Firebase
Payments: Stripe
Hosting: Vercel
Early Access
We're launching soon. You can join the waitlist here:
 ownyourpixel.fun

value: Show HN: Ownyourpixel.fun – Buy Pixels and Resell Them Like Digital Real Estate

author: mandarwagh


value: I always had a hard time finding free laurel wreath illustrations when making screenshots for new apps. So I decided to create my own generator. It’s completely free, so I hope it helps others who’ve faced the same problem.

value: Show HN: I built a laurel wreath generator


value: rgthelen

value:
I got tired of spending hours setting up local AI (Python environments, CUDA drivers, model downloads, vector DBs), so I'm building a tool that packages everything into a single executable.
The current cloud AI model makes us digital serfs, paying rent to use tools we don't own, feeding data to systems we don't control. The farm model makes us owners—of our models, our data, our future. But ownership requires responsibility. You must tend your farm.
The idea: Think Docker but for AI projects / deployments. One binary contains:
- Model weights (quantized GGUF).
- Vector database (embedded ChromaDB)
- Agent runtime (LangChain, etc)
- Web UI
- Platform-specific optimizations
What's actually working now:
- Full CLI structure
- Plugin architecture for platforms/databases/communication
- Mac platform detection with Metal support
- Demo web UI showing the vision
- Project scaffolding and configuration
What's still placeholder:
- Actual model compilation (shows "llamas in the pasture" message)
- Real vector DB embedding
Target use cases:
-Deploy to air-gapped systems
-Edge devices (Raspberry Pi, Jetson)
-Non-technical users (literally copy one file)
- Avoid cloud dependencies
Technical approach:
TypeScript/Node.js for CLI (great ecosystem)
Plugin system for extensibility
Platform-specific compilation (Metal on Mac, CUDA on Linux)
Static linking everything possible
Questions for HN:
Is the single-binary approach worth the tradeoffs? (5-15GB files, compile time)
What's your current local AI deployment pain? Would this help?
Is the farming metaphor too much? (plant, harvest, bale, till, etc.)
What features would make this actually useful for you?
GitHub: https://github.com/llamafarm/llamafarm-cli
You can try the CLI now - all commands work but show friendly placeholder messages.
The plugin system is real - easy to contribute platform support.
Really looking for gut reactions - is this solving a real problem or am I over-engineering?

value: Show HN: LlamaFarm – Working on binary AI Project deployment – (early preview)

author: rgthelen


value: jsathianathen

value:
Hey HN, I’m Johann - founder of Jars Global, where we build and launch a lot of products.
We built Outbrand to have daily content for all products, on auto-pilot.
You can setup once by inputting your brand details and goals. Then you get a 30 day content schedule with graphics. You can integrate with social platforms so it runs on auto-pilot.
Setup once, then get daily content easily.
PS. Please roast it! Really want to improve it so it's extremely high quality content that founders can use for their products.

value: Show HN: I built a tool that automates content for busy founders

author: jsathianathen


value: cookiengineer

value: Today I got really annoyed at existing prettifier tools that I was using to reverse engineer a binary, so I built a little CLI tool that just prettifies files based on their file extension and/or headers, and which doesn't need runtime dependencies when installed as it's a standalone go binary. I wanted it to be as simple as possible, without any overengineered CLI flags that nobody will be able to remember.<p>Maybe this tool will be helpful to someone else, too.<p>~Cheers

value: Show HN: Pwettify – dead simple universal CLI prettifier

author: cookiengineer


value: Show HN: Please check out my Free OpenAPI audit tool


value: miloschwartz

value:
Pangolin is an open source self-hosted tunneled reverse proxy management server with identity and access control, designed to securely expose private resources through encrypted WireGuard tunnels running in user space.
We made Pangolin so you retain full control over your infrastructure while providing a user-friendly and feature-rich solution for managing proxies, authentication, and access, all with a clean and simple dashboard web UI.
GitHub: https://github.com/fosrl/pangolin
Deployment takes about 5 minutes on a VPS: https://docs.fossorial.io/Getting%20Started/quick-install
Demo by Lawrence Systems (YouTube): https://youtu.be/g5qOpxhhS7M?si=M1XTWLGLUZW0WzTv&t=723
Some use cases:

  - Grant users access to your apps from anywhere using just a web-browser

  - Proxy behind CGNAT

  - One application load balancer across multiple clouds and on-premises

  - Easily expose services on IoT and edge devices for field monitoring

  - Bring localhost online for easy access

A few key features:

  - No port forwarding and hide your public IP for self-hosting

  - Create proxies to multiple different private networks

  - OAuth2/OIDC identity providers

  - Role-based access control

  - Raw TCP and UDP support

  - Resource-specific pin codes, passwords, email OTP

  - Self-destructing shareable links

  - API for automation

  - WAF with CrowdSec and Geoblocking

value: Show HN: Pangolin – Open source alternative to Cloudflare Tunnels

author: miloschwartz


value: KApilmittal

value:
"I got tired of the endless group chat debate about where to meet, especially when someone always ended up with a terrible commute while others walked 5 minutes.
So I built Midway@ - an AI that finds meeting spots where everyone's travel time is actually fair. Not just geographic midpoints (which are often terrible), but real optimization for travel time equity.
*How it works:*
- Enter everyone's starting location + transport method (car/transit/walk/bike)
- Describe what you want ('coffee shop with WiFi', 'restaurant with parking')
- AI analyzes thousands of venues using live traffic/transit data
- Returns spots where commute times are balanced
*Technical details:*
- Google Maps APIs for real-time travel calculations
- Custom algorithm that minimizes travel time variance across the group
- Handles mixed transport modes (some drive, others take transit)
- Venue ranking considers both travel equity and suitability match
*Interesting data from 10,000+ groups:*
- 67% of manually chosen meetup spots have >15min travel time imbalance
- Geographic center is optimal location only 23% of the time
- Groups save average 47 minutes of coordination time
Built with Next.js, deployed on Vercel. Would love feedback on the algorithm or UX improvements!
Demo: https://www.midway.at

value: Show HN: AI-powered meetup planner that optimizes for fair travel times

author: KApilmittal


value: eddguzzo

value:
I built Invisitris, which is a Tetris variation where the all but the last placed piece are invisible.
Periodically the whole grid is revealed or when you clear lines.

value: Show HN: Invisitris – A Tetris variation with a disappearing grid

author: eddguzzo


value: See some ideas of what you can do here: https://x.com/johnathanchewy/status/1943432883387142214

value: Show HN: Scribble Draw (Image Generation)


value: benbridle

value:
Hey everyone, this is my latest project.
Bedrock is a lightweight program runtime: programs assemble down to a few kilobytes of bytecode that can run on any computer, console, or handheld. The runtime is tiny, it can be implemented from scratch in a few hours, and the I/O devices for accessing the keyboard, screen, networking, etc. can be added on as needed.
I designed Bedrock to make it easier to maintain programs as a solo developer. It's deeply inspired by Uxn and PICO-8, but it makes significant departures from Uxn to provide more capabilities to programs and to be easier to implement.
Let me know if you try it out or have any questions.

value: Show HN: Bedrock – An 8-bit computing system for running programs anywhere

author: benbridle


value: spenserhuang

value:
Bullpost is Rova’s official waitlist. It is a 6 week competition that rewards you for bullish tweets about underrated startups and founders.
With a $15,000+ prize pool, Bullpost lets you:
Earn points by posting and amplifying bullish tweets about founders & startups
 Win weekly prizes for top engagement and amplifying top posts
 Compete for the final $10K prize split among top contributors and amplifiers
Rova aligns early adopters and builders into one unified growth community, turning your support into tangible rewards. Learn more at https://x.com/rovadotxyz/status/1943349951745909183

value: Show HN: Bullpost about founders and startups to show your conviction

author: spenserhuang


value:
I built a small Chrome extension for people who write long conversations in Claude and don’t want to unexpectedly hit the 200,000-token limit.
Context Compass automatically counts words and estimates token usage as you write. It updates in real time, gives you a visible percentage bar, and helps power users manage sprawling chats without losing work or flow.
I built it because I kept getting the “max context” error and realized there was no way to track usage in Claude.
No signups, no tracking, just a simple install.
Would love any feedback or ideas for improvements. Thanks!

value: Show HN: Context Compass – Track Claude chat token usage before hitting limit


value: Show HN: I just deployed GovDocs – which use AI to make SA gov docs searchable


value: Show HN: AI data analyst for growth and data teams


value:
Hi I'm Ben
Today, I want to share something I've been building for the last couple months.
0.finance is an open-source bank account.
You might wonder what I mean with "bank account" or how this would even be possible.
The term here is used loosely. In essence we're just a UI on top of a crypto wallet.
But, we do partner up with some "on-/off-ramp" providers and make it easy for to expose "virtual accounts" these virtual accounts and expose ACH details and make it possible to give a bank-like experience to the end user.
Under the hood, we use some recent advances in crypto UX to make sure you don't need to manage private keys directly. From he point of view of the user it pretty much feels like a classical bank.
The future:
And that's just a small taste of what we're working on we're actually in the process of creating an automation layer to help manage your entire financial stack little by little. For example, we created a small gmail connector that allows you to automatically categorize your receipts from your incoming email. Or we also parse emails to auto-populate wire transfers so you can pay your vendors more easily.
PS: It is possible today is to self-host (although painful atm). That means you could effectively get paid on our hosted instance and decide to fork us and continue down your own path.

value: Show HN: Open-Source Alternative to Mercury


value: acdev

value: Show HN: Intuitive Layout Image Generation Prompt Generator

author: acdev


value: AgentSphere

value:
Hey everyone
We’re opening up early access to AgentSphere, a secure runtime platform for executing AI-generated code inside cloud sandboxes. If you’re building with LLMs (ChatGPT, Claude, etc.), and want them to not just write code but actually run it — this is for you.
--------------------------------------------
What is AgentSphere?
AgentSphere provides an easy way for you to launch lightweight, isolated environments in the cloud using our JavaScript SDK, Python SDK or APIs. Each sandbox behaves like a containerized runtime — Think of it as Execution-as-a-Service: no local setup, no config hell — just send a command and it runs securely.
--------------------------------------------
How AgentSphere Works with MCP Clients?
AgentSphere is integrated into the MCP ecosystem and works seamlessly with:
- Cursor
- Claude Code
- Raycast
- Gemini CLI
- and more MCP clients...
Reference Docs: https://www.agentsphere.run/docs/mcp-server
--------------------------------------------
Demo
The following video clip demonstrates what AgentSphere can help in action.
- Web Game Mario: https://www.youtube.com/watch?v=5mtqUzAwXoA
- Calculator: https://www.youtube.com/watch?v=ZXTPOddl_Jo
--------------------------------------------
Join the Beta
If you want to:
- Build LLM agents that actually execute code and handle data
- Use Cursor, Claude Code, Raycast, Gemini CLI, or similar MCP clients and want the output to “just run”
- Experiment with autonomous agent workflows
- Test AI-generated code in a safe, isolated environment
Just give AgentSphere a try.
Want to build with AgentSphere? Register now and grab your API key in just a few clicks!
https://www.agentsphere.run/
We're looking for developers, builders, and AI toolmakers to test it out, and tell us what is great and what doesn’t. We'd love your feedback.
Got questions? Drop them below. Thank you!

value: Show HN: Looking for Beta Testers: Run AI-Generated Code in AgentSphere Sandbox

author: AgentSphere


value: MatthewTKD

value:
Hi HN,
I just launched Intermittent Fasting Calculator, a free, no‑signup web tool to plan your next meal and fasting window.
Pick from popular methods (16:8, 14:10, 18:6, 20:4, OMAD) or set a custom fasting window (1–23 hrs), enter your last meal or desired next‑meal time, and get an instant, color‑coded 24‑hour timeline.
Export results as text, image, or PDF. Works on mobile and desktop, with built‑in guidance on fasting methods and safety.
I built this to simplify my own fasting schedule planning—no more mental math or clunky apps.
I’d love to hear your thoughts on the UI, features, or anything you’d add. Thanks!

value: Show HN: Intermittent Fasting Calculator – Plan Meals and Fasting Times

author: MatthewTKD


value: ahmedobaidi

value: Hi HN! I built ggRMCP, a Go-based gateway that lets AI models call your existing gRPC services without any code changes.<p>The core idea: most companies have tons of gRPC services, but connecting them to AI tools requires building custom integrations. ggRMCP bridges this gap by translating between gRPC and the Model Context Protocol (MCP), so Claude or OpenAI can discover and call your services as if they were native tools.

value: Show HN: gRPC to MCP Gateway – Let AI models call your existing gRPC services

author: ahmedobaidi


value: luhemarora

value: There is too much research to keep up with, so I built an agent that runs daily summaries on arxiv papers. Gets delivered to my inbox every morning.

value: Show HN: Built an agent to keep up with research

author: luhemarora


value: vincentyyy

value:
Hey everyone,
I feel like a lot of us have gotten used to social media as our main way to stay informed. It’s where we get our news, trends, opinions, and everything. But honestly, my attention has been wrecked by it. TikTok, X, Instagram... I go in to check one thing and suddenly I’ve lost 90 minutes.
So I started wondering what if we could actually control what we see? Like, fully. What if we could own our feed instead of letting the algorithm choose what we scroll through?
To play with that idea, I built a small demo app. You just type in what you want to follow, like “recent crypto big things”. The app uses AI to pull updates every few hours. It only fetches what you tell it to.
Currently this demo app is more useful if you want to be focused on something (might not be that helpful for entertainment yet). So at least when you want to focus this app can be an option. I’ve been using it for a couple of weeks and it’s helped me stop bouncing between X and LinkedIn.
If you're interested in being our beta testers, check it out: www.a01ai.com.  After you sign up, you will receive a TestFlight link to our app.
Would love to hear what you think.

value: Show HN: Keep up with the world without information overload

author: vincentyyy


value:
Hey HN,
A few years ago, when I was working as a freelance web developer, there were many projects that used repetitive layouts and designs
That's when I built my own collection of basic UI components like buttons and all. At that time, I was using CSS, so I styled my components using CSS. Later, I decided to open-source these components, and that’s when I created HextaUI
After a few months, I found out about Tailwind CSS, so I decided to recreate all components with better design, modularity, and accessibility. This time, I also added animated components, not just base components. After building and launching, I left it and went on a break. (It didn’t get any response because I didn’t know marketing.)
Two months ago, I decided to rebuild the entire project—but this time, I wanted to scale it and make it stand out, because there’s a lot of competition. So I rebuilt all base components, made them last versions, and gave it my all
This time, it got a great response in fact, it crossed 50k visitors in just 72 hours
Looking at the response and demand, I created pre-built blocks using the base components and launched them at a minimal price. That also blew up and crossed more than 10 sales and crossed $500 revenue in just 24 hours. I was selling pre-built website blocks and UI components.
What I learned: product matters the most. No matter how many competitors are out there, people still buy good products. If you think, “People are already building what I’m building,” or “There are better options” then build something better. Make something specific. Niche down under that same niche
Just build it.
Preet

value: Show HN: I rebuilt few years old project and now it covers my expenses


value: freakynit

value: Show HN: A tiny disk-based graph database for Node.js

author: freakynit


value: Made a cool (freemium) tool to send RSS feeds to your Kobo. You basically add any feed on the web app, install the Kobuddy app and all the rest happens auto-magically!

value: Show HN: Send RSS Feeds to Kobo E-reader


value: gparashar

value: Edzy: India's gamified AI tutor making CBSE learning fun & effective for school students. Personalized lessons, duels & streaks. Learn like you play!

value: Show HN: Gamified AI Tutor for School Students

author: gparashar


value:
Those selfie --> AI headshot tools are actually useful but they charge waaaay too much $35 - $49.
https://www.betterpic.io/#pricing
https://secta.ai/headshots
https://www.aragon.ai/#pricing
I made a website which uses the exact same backend but has a much smaller margin, https://aiworkphoto.com
I would love to make it free for HN but I’d go broke. Use “aiworkphoto” to take my margin to $0. In return, I would love your feedback!

value: Show HN: A 50% Undercut

title: Show HN: A 50% Undercut


value: randomaifreak

value: Show HN: Code is all you need – Sherlog MCP

author: randomaifreak


value: mosbyllc

value:
Hi Hacker News,
I'm excited to share a project I've been passionately working on in my spare time: AI Movie Finder (https://www.aimoviefinder.com).
The idea was born out of a simple, yet frequent, frustration: having a movie on the tip of my tongue but being unable to recall the title. All I could remember were fragments – a specific scene, a snippet of dialogue, the general plot, or even just the mood it evoked. Traditional search engines often fell short with these kinds of abstract queries.
So, I decided to build a solution. AI Movie Finder uses a natural language processing model to understand these descriptive and sometimes vague queries. You can type in things like:
"that movie where a guy keeps reliving the same day"
"a sci-fi film with a blue alien opera singer"
"a feel-good movie about a band in the 80s"
The goal is to make movie discovery more intuitive and human-like. Instead of just searching by actors or exact titles, you can search by memory and feeling.
The backend is built with Python and utilizes a fine-tuned sentence transformer model to create vector embeddings for a large movie database. The frontend is a clean and simple interface built with vanilla JavaScript to keep it fast and accessible.
This is still very much a work in progress, and the database is continuously growing. I'm actively working on improving the model's accuracy and expanding the search capabilities.
I would love to get your feedback. Please give it a try and let me know what you think. I'm particularly interested in:
How well does it work for your queries?
Are there any features you think would be a great addition?
Any suggestions on how to improve the model or the user experience?
Thanks for checking it out! I'll be here to answer any questions.

value: Show HN: AI Movie Finder – I created a way to find movies by describing

author: mosbyllc


value: Show HN: I made a simple iOS app to track and count my habits


value:
Hi HN,
I built CD Calculator – https://cd-calculator.net – a simple tool that helps people calculate interest returns on bank CDs (Certificates of Deposit).
Most CD calculators online are either too basic, too outdated, or full of ads. I wanted to make something that's:
- Clean and fast
- Easy to use
- Focused on accuracy
With this tool, users can:
- Enter principal, rate, and term to get instant results
- Simulate compound interest monthly or annually
- Copy results with one click
Advanced features are coming soon, including:
- Recurring deposits
- Early withdrawal penalty simulation
- After-tax return estimator
It’s built with Astro, Tailwind CSS, and vanilla JavaScript. I’d love feedback on:
- Usability (especially on mobile)
- Feature ideas or improvements
- Accuracy of the calculations
Thanks!

value: Show HN: CD Calculator – A tool to calculate bank CD interest returns


value: I built nkv because I wanted a simple way to pass simple values between different devices without maintaining a central server. Nostr provides a backbone with "good enough" decentralization. Enjoy!

value: Show HN: A decentralized command line key-value store on Nostr


value: Stepanchykov

value: Independent images collection from the whole internet. Daily updates

value: Show HN: Online Photo Gallery

author: Stepanchykov

title: Show HN: Online Photo Gallery


value: funcin

value:
Hi Hacker Family,
I’d love to share a project I’ve been building independently: AI Email Writer – WriteMail.app
The inspiration came from a personal experience. I was applying for a part-time role at a company overseas, but I wasn’t confident about how to write a proper email. Sure, there are many AI tools out there, but I found it frustrating to constantly craft the right prompts just to get a decent draft.
That got me thinking — maybe others face the same challenge.
So I created WriteMail.app – an AI-powered email writing lab focused on helping you write better emails, not just faster ones.
Unlike typical “email generators,” WriteMail is a guided and interactive platform that blends writing purpose, tone control, and message structure — so your emails sound more professional, effective, and human.
What you can do with WriteMail.app:
1. Quickly write business emails, requests, rejections, thank-you notes, and more
2. Define your intent, and let the AI choose the right tone and phrasing
3. Instantly adjust the tone – make it more polite, assertive, concise, etc.
4. Need to reply to a message? Paste it in — and get a thoughtful response
5. Multilingual support is built-in – write or reply in the language you prefer
We’re currently powered by GPT-4, and I’m actively optimizing the system to fine-tune prompts and outputs for even more accurate and polished results.
It’s still an early-stage project, but I’d be thrilled if you give it a try and share your feedback. I’m building this to make thoughtful email writing more accessible for everyone.
Really appreciate your time, and I’m excited to hear any feedback or suggestions you may have.

value: Show HN: I built AI Email Writer – Let AI help you write better Emails

author: funcin


value: ishqdehlvi

value: Experience conversations that feel genuinely human - no scripts, no canned responses, just authentic emotional connection that actually stays.

value: Show HN: WTMFAi – Join for Waitlist and

author: ishqdehlvi

title: Show HN: WTMFAi – Join for Waitlist and


value: herodoturtle

value: Show HN: A Good Job Advert

author: herodoturtle

title: Show HN: A Good Job Advert


value: Show HN: Tweek GPT. Interact with your calendar and tasks using GPT


value:
Hi, I built a Python framework called Dispytch for handling events. It’s meant to be simple, clean, and testable.
Would love feedback or thoughts if you get a chance to check it out:
https://github.com/e1-m/dispytch

value: Show HN: Dispytch – a Python framework for building event-driven services


value: FerkiHN

value:
Hey HN,
I'm excited to share ByteWise Search, an innovative open-source search engine I've been building. Unlike traditional search engines, ByteWise is designed to be entirely client-side, running directly in your browser. This means it offers unparalleled privacy, blazing speed, and near-zero traffic consumption for search queries.
Why ByteWise Search?
My goal was to create a search experience that puts the user first, without compromises on privacy or performance. Here's what makes it unique:
* Absolute Privacy: Your search queries never leave your device. All processing happens locally in your browser. No tracking, no cookies, no fingerprints.
* Zero Traffic for Search: After the initial load, every subsequent search query consumes 0KB of network traffic. Results are served instantly from a local database.
* Offline Functionality: Thanks to Service Workers and IndexedDB, ByteWise Search works perfectly even when you're offline.
* No API Keys, No Backend: This project runs entirely on GitHub Pages, making it completely free to host and use. There are no external APIs for search results, eliminating dependencies and potential costs.
The Community-Driven Vision
This is where it gets really interesting, and where I need your help!
Instead of relying on a centralized index, ByteWise Search is designed to be community-driven.
The search results are powered by a local database that can be extended and improved by users like you.
How it works:
* Local Contributions: You can add new "query -> relevant link" pairs directly within the app. These contributions are saved locally in your browser.
* Export & Share: You can export your local contributions as a JSON file.
* Contribute via GitHub Pull Request: The vision is for the community to contribute these exported JSON files back to the main GitHub repository via Pull Requests. Once merged, these contributions become part of the public, shared database, benefiting everyone using ByteWise Search.
This model allows us to collectively build a high-quality, curated, and privacy-respecting knowledge base, tailored by the community for the community.
Performance Highlights (vs. traditional search)
* Initial Load: ~24KB
* Search Query: 0KB (from cache/local DB)
* Response Speed: Instant (from cache/local DB)
* Offline Support:  Yes
* External API Calls for
Search:  None
Call to Action
I believe this approach has the potential to redefine how we think about search, especially for specific, curated knowledge domains.
I'd love to get your feedback, ideas, and especially contributions!
* Try the Live Demo: https://ferki-git-creator.github.io/bytewise-search/
* Explore the Code & Contribute: https://github.com/ferki-git-creator/bytewise-search
Let's build a truly private and community-powered search engine together!
Thanks for checking it out.

value: Show HN: ByteWise Search a Privacy, Zero-Traffic, Community-Driven Search Engine

author: FerkiHN


value:
Hi HN,
I built a Python module called HardView to retrieve low-level hardware and system info across platforms.
I needed something fast, structured, and consistent across Windows and Linux — something that could handle BIOS data, CPU, memory, disks, network, SMART attributes, and real-time monitoring.
Most existing tools (like psutil or pySMART) either didn’t go deep enough, weren’t cross-platform, or didn’t expose everything in JSON format — so I wrote my own in C, then exposed it as a Python module.
Key features:
BIOS/system/CPU/RAM/disk/network info
SMART and partition info (disks)
Real-time CPU/RAM/system usage monitoring
JSON output and Python API
It’s open-source and still evolving. Would love feedback, ideas, or contributions!
GitHub: https://github.com/gafoo173/hardview

value: Show HN: HardView – Cross-platform Python module for detailed hardware info


value: eliasdorneles

value:
I wanted a simple way to manage my monthly budget, and I got tired of trying to bend Google Sheets to do what I needed.
So I built a terminal-based personal budget planning application built with Python and Textual.
Your data is stored locally in a JSON file, keeping your financial information private and accessible offline.
Do you find this useful?

value: Show HN: TUI personal monthly budget planner

author: eliasdorneles


value: I'm excited to share AGI Laboratory, an open-source PyTorch framework that takes a different approach to AGI development

value: Show HN: AGI Laboratory – Evolving AGI through community


value: vernu

value: Show HN: TheGistHub – Free AI book summaries in 10 minutes

author: vernu


value:
SwiftList is a reimplementation of the Unix ls command in Swift 6.0. It provides compatibility with standard ls flags while offering modern Swift API design and cross-platform support.
Technical Implementation
- Swift 6.0 with Foundation and FileManager for reliable file operations
- Swift Argument Parser for clean command-line interface
- Shell completion support for bash, zsh, and fish
- Swift Package Manager integration for easy installation
- Follows Swift API Design Guidelines throughout
Key Features
- ls flag compatibility (--all, --long, --recurse, etc.)
- Color and icon (emoji) support for enhanced file identification
- Multiple display formats (basic, detailed, recursive)
- Multiple path support
- Built-in shell completion generation (--generate-completion-script)
Recent Development
- Fixed shell completion reliability across bash, zsh, and fish
- Added standard version flag support
- Enhanced long format display options
Why Swift?
Swift's strong type system, memory safety, and Foundation integration make it well-suited for system utilities. The result is a fast, reliable ls replacement with modern error handling and clean architecture.
The project demonstrates practical Swift usage beyond iOS/macOS app development, showing how Swift can be effective for command-line tools and system utilities.
MIT licensed, comprehensive test coverage, ready for production use.

value: Show HN: Swift List – A Modern Swift Implementation of Ls


value: njayp

value:
Ophis converts Cobra command trees into Model Context Protocol (MCP) servers. This means Claude Desktop (and other MCP clients) can call your CLI commands as structured tools with proper type checking and parameter validation. The user implements a command factory interface to create fresh command instances for each call, preventing state pollution while maintaining thread safety.
I have had success turning my own CLIs and other open source CLIs into mcp servers. Here are images showing Claude interacting with my Kubernetes cluster using helm and kubectl.
https://raw.githubusercontent.com/njayp/host/refs/heads/main...
https://raw.githubusercontent.com/njayp/host/refs/heads/main...
This feels like where CLI tooling is headed - structured integration with AI rather than raw shell access. Would love feedback from the community.
GitHub: https://github.com/njayp/ophis

value: Show HN: Golang: Transform Any Cobra CLI into an MCP Server for AI Assistants

author: njayp


value: bastienbeurier

value: Show HN: GoGoGame – Find sports games near you

author: bastienbeurier


value: furkansahin

value:
This post is created to show the best example of a bad API design. AWS S3 is probably one of the most used services globally. Say you want to create a bucket in us-east-2, the way to do it is basically to send `us-east-2` as a location_constraint as part of your `create_bucket` payload. You want to do the same for `us-east-1`? You cannot send it as part of `location_constraint`, it will fail with the following message!
Aws::S3::Errors::InvalidLocationConstraint: The specified location-constraint is not valid
You must not send anything to get it in `us-east-1`.
Source: https://docs.aws.amazon.com/AmazonS3/latest/API/API_CreateBu...

value: Show HN: AWS create_bucket API is BAD

author: furkansahin

title: Show HN: AWS create_bucket API is BAD


value: eezZ

value:
Building a free web toolbox for hardware engineers: harness cable diagram generator, connector pinout tools (M.2, JTAG...), microcontroller serial monitor, and various other small utilities.<p>No sign-up required. Designed from my own needs.
Feedback and feature suggestions are welcome.

value: Show HN: NodeLoop – Hub for electronics design knowledge and tools

author: eezZ


value: saltmineworker

value: Show HN: Chrome extension to see what other news sites say about the same story

author: saltmineworker


value: hansy

value:
Hey HN, I built a little game to test out a few technologies I wanted to try out. The object of the game is simple: find the most common answers to a prompt.
How it works:
- player first sees a "warmup" question; this is just a prompt for a future date; I collect answers for the question to feed into an LLM to generate the answers for it
- player moves onto actual game, trying to guess the most common answers; every user submission goes to the LLM to determine how similar it is to the predefined buckets/answers
Some interesting learnings while building this:
- the LLMs do a pretty decent first pass (both in creating the answers and judging them), however the last 20% of work is some serious fine-tuning to avoid hallucinations, strange inconsistencies, etc
- the answer creation LLM has a tough job; it has to take the responses and create workable buckets that (a) aren't too broad and (b) are different from each each, which is surprisingly challenging; It employs pair-wise cosine similarity (how similar two vectors points are to each other) and Jaccard similarity (how similar two sets of data are to each other); still lots of work to be done here as I still see buckets that are too encompassing and share sizable overlap with other buckets
- the judging LLM has answer normalization rules (e.g. plural -> singular, strip special characters, handle typos via Levenshtein distance, etc) and matching logic using cosine similarity plus determining if a guess is hypernym or hyponym in relation to the bucket -> we want answers to be more specific (e.g. guess == "truck", bucket == "vehicle" GOOD, guess == "vehicle", bucket == "truck" BAD)
Let me know if you have any questions or feedback!

value: Show HN: I built a daily, "Family Feud" style game

author: hansy


value: ddddddO

value:
Hi!
There may be times when you want to generate multiple barcodes and scan them (even if there is not now, there may be such a scene in the future).
In that case, this site will be useful!
https://ddddddo.github.io/barcode/
This site can generate QR codes from URLs and multiple barcodes! The barcode generation process is Go! (For now, it is only displayed in Japanese.)
The features and functions of this site are detailed below.
- Code generation process is performed in Wasm
  - The code generation process is completed locally, without communication with external parties.
  - Code generation process uses github.com/boombuler/barcode
- Multiple barcodes can be generated on a single page
  - Enter a URL in the URL form to generate a QR code for that URL.
    - Enter the Basic Authentication credentials for the target URL in the User/Password form, and the credentials will be embedded in the generated QR code.
  - Click the “Add Barcode” button to generate multiple barcodes.
- QR Code for URL can be hidden.
  - If the QR code for the generated URL contains Basic Authentication information, the page cannot be shared in a screenshot, so you can hide the QR code by pressing the dedicated button.
- Enlargement and blurring on mouse-over
  - When there are multiple barcodes, you may scan another barcode when scanning. In such cases, mouse-over the target barcode to enlarge and blur the other barcodes, making it easier to scan.
- Share page content by URL
  - The query parameters reflect the URL entered in the form and the string from which each barcode was generated. Use it to restore this page
  - However, User / Password is not reflected in the query parameter because it is not allowed to be shared.
The repository for this site is https://github.com/ddddddO/barcode

value: Show HN: Multiple barcodes can be generated on single page

author: ddddddO


value: sooiam

value:
Hey HN,
I'm excited to share Amebo, a new open-source HTTP Event Broadcasting library I've been working on. It's designed to act as an asynchronous communication engine that helps decouple your applications from traditional, often complex, messaging systems like PubSub, Kafka, RabbitMQ, or SQS.
The core idea behind Amebo is to provide a simple, HTTP-first API for registering event schemas, submitting message payloads, and broadcasting those events to various destinations. This makes building event-driven architectures or microservices much more straightforward, without the overhead of managing dedicated message brokers for every interaction.
Key highlights:
High Performance: Built for scale with sub-10ms latencies, efficient batching, and connection pooling. It's been battle-tested with millions of requests.
Simple Integration: JSON Schema validation for events, flexible backend support (PostgreSQL, SQLite, Redis), and a clean RESTful design.
Enterprise-Ready: Features like clustering for high availability, built-in authentication/authorization, and observability hooks are baked in.
Flexible Event Delivery: Supports various "Event Engines" for broadcasting, including PubSub, Kafka, RabbitMQ, SQS, and direct Webhook delivery with retries.
Amebo is ideal for scenarios where you need robust, asynchronous communication between services but want to avoid deep integrations with specific messaging queues. Think event sourcing, lightweight service-to-service communication, or reliable webhook delivery.
We've focused on making it easy to deploy (Docker-ready) and simple to integrate into existing Python ecosystems.
You can find the documentation and source code here:
Documentation: https://rayattack.github.io/amebo/
GitHub Repository: [Your GitHub Repo Link Here - e.g., https://github.com/RayAttack/amebo]
I'd love to hear your thoughts, feedback, or any questions you might have. Thanks for checking it out!

value: Show HN: High Perf. Event Broadcast Engine (PubSub, Kafka, SQS Alternative)

author: sooiam


value: shoebham

value: Show HN: Gaddhe(Potholes) Map

author: shoebham

title: Show HN: Gaddhe(Potholes) Map


value: khurdula

value: Show HN: Yoslm -- You Only Need a Smoll Language Model for Object Detection

author: khurdula


value: merso

value:
Hi HN,
I built GrowAGardenStock.com to solve a simple frustration in the Roblox farming game Grow a Garden: rare seeds, gear, pets, and weather events rotate every few minutes, but the game gives no global timer. Players had to server-hop and spam refresh to catch a legendary item before it sold out.
What the site does
Live stock dashboard – polls every public server, merges the data, and shows Seed / Gear / Egg shop inventory with second-level countdowns.
Weather + Event tracker – Rain, Thunderstorm, Blood-Moon, Bee Swarm, etc., with next-spawn prediction (handy for mutation hunters).
Update & Code archive – weekly patch notes and all working / expired reward codes in one place.
Wiki & tools
Crop / Seed / Gear / Pet database with ROI calculators
Mutation planner that overlays odds and multipliers

value: Show HN: GrowAGardenStock – Real-time inventory and event tracker

author: merso


value: haron

value: Show HN: claude-code-setup.sh – setup Claude to handle issues in your repo

author: haron


value: SecOpsEngineer

value:
I’ve been working on a simple tool for browsing CVEs that prioritizes speed and filtering flexibility. SecUtils is designed for security researchers, devs, and anyone who wants to slice vulnerability data without wrestling with bulky, non-responsive UIs or APIs.
Currently supports:
Filtering by CWE, CVSS score, and publication date
Searchable view per CVE, with fast indexing behavior
Simple UX with minimal fluff (no JavaScript frameworks)
Very early stages. So far I'm using it to monitor vulnerabilities for a few key products, but I’d love to hear how others approach this kind of workflow. If any part of it proves useful, that’s a win.
Next up, I'm exploring features like custom views tailored to specific products and lightweight alerting for new high-severity CVEs—still thinking through how those might work best without bloating the experience.
You can try it here: https://secutils.com/vm

value: Show HN: SecUtils – A fast filterable CVE viewer, now with CVSS and CWE support

author: SecOpsEngineer


value: abyesilyurt

value: Show HN: Deploying a FastAPI App on Cloudflare Containers

author: abyesilyurt


value: kuberwastaken

value:
The GitHub Profile View Counter I used with 100k+ Visits went Down today, so I spent made my own
and I pinky promise it won't ever be down :)
Can be embedded in Markdown and HTML directly and updates on every refresh :)
7 Different Themes including Glassmorphism, Terminal and my favorite - CATS
Use it completely for free and spice up your GitHub profile, would love any and all feedback!

value: Show HN: GitHub View Counter I used with 100k Clicks went Down, so I made my own

author: kuberwastaken


value: One month ago I posted about somo (an alternative to netstat for port monitoring) here on HN. It was received quite well and got lots of contributions with new features that I just released! One of them: macOS support! Thanks to everyone who contributed, created issues and starred the repo :)

value: Show HN: Somo Release 1.1.0

title: Show HN: Somo Release 1.1.0


value: louiskw

value:
Hey HN! I'm Louis, one of the creators of Vibe Kanban.
We started working on this a few weeks ago. Personally, I was feeling pretty useless working synchronously with coding agents. The 2-5 minutes that they take to complete their work often led me to distraction and doomscrolling.
But there's plenty of productive work that we (human engineers) could be doing in that time, especially if we run coding agents in the background and parallelise them.
Vibe Kanban lets you effortlessly spin up multiple coding agents. While some agents handle tasks in the background, you can focus on planning future work or reviewing completed tasks.
After a few weeks of internal dog fooding and sharing it with friends, we've now open-sourced Vibe Kanban, and it's stable enough for day-to-day use.
I'd love to hear your feedback, feel free to open an issue on the github and we'll respond ASAP.

value: Show HN: Vibe Kanban – Kanban board to manage your AI coding agents

author: louiskw


value: bwm

value:
Hey HN. we’re Barnaby and Tom from Director (https://director.run). A fully open source, local first MCP gateway that allows you to connect Claude, Cursor or VSCode to any MCP server in 30 seconds.
Demo: https://www.youtube.com/watch?v=Fj4mGLp-aSk
Website: https://director.run
Repository: https://github.com/director-run/director
MCP is a promising technology, but it's still early and there are lot's of (well known) problems:
- Configuration: Hard to setup, requiring writing JSON for each new client <> server connection.
- Observability: No easy way to inspect (and modify) traffic flowing between clients and servers.
- Security: MCP is often vulnerable to remote code execution attacks and prompt injection attacks.
- Context Window Management: It's very easy to load too many tools into the context window at which point the LLM can get confused.
We're looking to solve these problems by building director. We're starting with a simple local experience, but intend to add features like oAuth very soon that will allow you to run this in the cloud (or in a secure container).
Looking forward to hearing any feedback or ideas you have!

value: Show HN: Director – Local first, open source MCP Gateway

author: bwm


value: tonerow

value: Show HN: TeamSort – Realtime Social Choice Polling (Borda, Condorcet, IRV)

author: tonerow


value: almaya

value: CNet is a C++/CUDA framework for building and researching deep complex valued neural networks, as well as for optimization of complex valued functions using gradient descent with Wirtinger derivatives. In the current version it should be relatively straighforward to implement new CPU-only functions / layers. In subsequent releases will add support to easily implement CUDA layers, too.

value: Show HN: CNET – a C++/CUDA framework for researching complex valued NN

author: almaya


value: Show HN: d2-mcp – compile and render D2 diagrams for multimodal LLMs


value: rahulbstomar

value:
I built a free UTM Builder tool to quickly generate UTM-tagged URLs for campaign tracking (Google Analytics, ads, emails, etc.). No sign-up, no clutter—just input your parameters (source, medium, campaign, etc.) and get a clean URL instantly.
Why I made this: I found most UTM builders either overcomplicated or packed with ads. This one is dead simple, works offline after first load, and respects your privacy (no tracking).
Would love feedback or feature suggestions.
Try it here: https://goonlinetools.com/utm-builder/

value: Show HN: Free UTM Builder – Instantly generate campaign tracking URLs

author: rahulbstomar


value: bkaminsky

value:
Hi HN,
Over the last two months, I’ve developed a model where computation is realized as symbolic states embedded directly on geometric manifolds—specifically, helices with torsion, chirality, and combinatorial structure.
In a nutshell - using geometry you can encode computational logic into the rotation group of SO2 (the circle) via the torsion of the helix. Helices are always oriented shapes, so their unit vector/axis of symmetry is used to determine the logic of the system. This deterministic approach stands in contrast to quantum computing where you use SU2.
Likewise, the gluing maps between helical manifolds can create what I call "computational geometric bordisms".
This approach deliberately sidesteps the classical “coordinate-free” dogma in math, instead offering a deterministic geometric substrate for computation that naturally interpolates between classical, quantum, and topological computation.
The results are honestly pretty strange: potentially foundational, deeply cross-disciplinary, and—full disclosure—I’m not a professional mathematician. My intent here isn’t to claim a “Theory of Everything,” but rather to provide a teaching tool for understanding computation through geometry.
However, in working through the details, this model seems to (a) threaten to “destroy” one of the Clay Millennium Prize Problems, and (b) force a substantial extension of Grothendieck’s Homotopy Hypothesis. That wasn’t my original goal, but it’s hard to ignore the consequences.
I’m really looking for a sanity check, constructive critique, or any pointers to researchers working along similar lines. Feedback—critical or otherwise—is genuinely appreciated.
Repo here: https://github.com/LambdaLord/Twin-Helix-Geometric-Computati...
Abstract below:
Geometric Computability: Twin Helices and
the Algebra of Flow
In this work, I construct a manifold comprising of twin helices that explicitly validates the
existence of computational geometric bordisms as anticipated by the project of the cobordism hypothesis. I investigate its geometric, topological, algebraic and computational properties. This work suggests the emergence of a new research direction that I call “Geometric Computability Theory”, situated at the crossroads of geometry, topology, and computability theory. I prove that encoding of arbitrary size finite state machines is possible using these “Geometrically Computable Manifolds”
leading to the emergence of Turing Complete phenomena. Further constructions are made on the
nature of quantum-like and n-ary/fuzzy computing behavior leading to the formation of a general
metatheorem for the behavior of computational logic to explain the origin of Rice’s Theorem. I
describe their behavior in terms of Kleene’s theory of partial recursive functions and use vector spaces and ordinary differential equations to model fluidic computation. This perspective opens numerous avenues for future investigation, potentially reshaping our understanding of computation in continuous spaces including applications to the infamous Yang-Mills existence and mass gap. As of writing, algebraic systems to formalize the behavior these geometrically computable manifolds appears to be absent. Future work will involve the development of formal algebraic frameworks, rigorous computational models, and experimental simulation of system behaviors.

value: Show HN: Helices Create a New Model of Deterministic Computation [pdf]

author: bkaminsky


value: lcorinst

value: The soulmate drawing trend has been blowing up on TikTok, so I decided to build my own web app version. It generates a moody sketch of your “future partner” based on your birth details and preferences. Just a fun little side project—no sign-ups, free to try. Would love to hear what you think or see your results!

value: Show HN: TikTok-viral Soulmate Sketch – Find your "future partner"(just for fun)

author: lcorinst


value: FerkiHN

value: A utility for viewing images in the terminal, convenient, fast and works anywhere, even on weak devices, written in pure C, does not require RGB is ~300kb in size on all platforms. More details in the repository: https://github.com/Ferki-git-creator/phono-in-terminal-image...

value: Show HN: Photo viewer, right in the terminal, cross-platform, no need for x11

author: FerkiHN


value: shutty

value: Show HN: Nixiesearch, an open-source alternative to Elasticsearch Serverless

author: shutty


value: niklasmtj

value:
Earlier this year I wrote about building an AI-assisted content marketing generation tool for my blog. Well it fell into the "abandoned (for now) projects" but I recently pulled it from the drawer and took a look again. Since maybe some of you might be interested as well, it is now hosted on Deno Deploy at https://marai.niklasmtj.de/
Bring your own Google Gemini API key and try it. The key is saved in your local storage, no database included.
Claude and OpenAI integration coming when needed. Let me know!
If you have any questions, let me know as well
Have a great day everyone

value: Show HN: marai - AI Marketing Content Generator

author: niklasmtj


value: zedoh

value:
Hi HN!
I just published Termadoro – a terminal-based Pomodoro timer with tag support and real-time productivity reports. It's built with Node.js, React-Ink, and SQLite.
I created it because I wanted a simple way to track my Pomodoro sessions and get useful insights about how I spend my time — including tagging sessions like “writing”, “deep work”, or “study”.
It was also a fun opportunity to level up my skills with TypeScript, experiment with Ink for TUI development, and learn how to package and publish an app to npm.

value: Show HN: Termadoro – A TUI Pomodoro Tracker with Tags and Reports

author: zedoh


value: koch

value: Show HN: Social media with text files – like Twitter/X but by writing markwhen

author: koch


value: yuridoug

value: Show HN: Instant AI training data with auto labels

author: yuridoug


value: RyukuLogos

value: Show HN: Rain-A theory of intelligence beyond Transformers, based on rhythm

author: RyukuLogos


value: jasonthorsness

value:
With Gemini Flash so fast, I wondered what it would be like for an LLM to generate web pages and images on-demand as the URLs are requested. It's been a couple of weeks now since release and there are a ton of cool examples people have created at https://ginprov.com/. I have about half of my Gemini credits left (it's not too costly) but if it runs out, it's very easy to self-host with your own Gemini key.
Some examples:
https://ginprov.com/dachsunds/
https://ginprov.com/cool-cars/
https://ginprov.com/coffee-in-a-golf-ball/
https://ginprov.com/what-is-it/

value: Show HN: An Improvisational Web Server

author: jasonthorsness

title: Show HN: An Improvisational Web Server


value:
Hi HN, Jay here. I am building Indilingo, an AI app for learning Indian languages like Hindi, Sanskrit, Tamil, Kannada and more.
It supports 14 official Indian languages at the moment and is available on the Play Store with 800+ downloads.
We're a small group of friends building this bootstrapped from Bengaluru, India and would love to get your feedback on it!
Features:
1. Real-time AI powered personalization for all lessons.
2. Custom lessons - Users can create their own lessons based on their goals.
3. Conversation practice (launching this week!) - Users can practice speaking in real-time with an AI and get instant feedback on their pronunciation.
4. Truly accessible - Users can learn any supported language from any supported language. Today, we have 180+ language combinations possible. Tomorrow it will be a thousand.
Here is the link to our website: https://www.indilingo.in
And here is the download link on Play Store: https://play.google.com/store/apps/details?id=com.indilingo

value: Show HN: Indilingo – AI for learning any Indian language from Indian language


value: aqula

value:
If you're not familiar with C4 model (https://c4model.com), the idea is to visualize your system at different "zoom levels" to see the abstraction you are interested in.
When it comes to infrastructure, looking at how different cloud services connect together might give us an overview of the high level architecture of the system. We can zoom in and look at domain specific units of infrastructure and how they interact to get a deeper understanding of what the system is doing. Finally we might want to look at the resource view to see individual resources and how they are configured. Each view gives a different perspective and allows us to tell different stories about our system depending on the audience.
Having to document and maintain such diagrams for a constantly changing system can be quite tedious. So I'm building a tool to generate such diagrams directly in your IDE (actually just vscode). Running in the IDE integrates it seamlessly into the dev workflow. We can do nifty things like mapping the diagram to source code so you can navigate between elements of the diagram and source as you work through the code. Once we have a diagram, we can overlay additional information to bring information into context, like visualizing a change plan over the diagram, or perhaps health metrics of a live system or cost estimates.
I made a quick video to give you a demo of what it looks like. You can also see some samples of generated diagrams below. And checkout the extension page on the marketplace for more information. I'd love to hear your thoughts and any feedback you have!
Btw, the extension runs entirely client side with no remote server integration, so your code never leaves your machine.
Video demo (2 min)
https://youtu.be/npAWvGl8WeM
Extension link
https://marketplace.visualstudio.com/items?itemName=infragra...
Example diagrams:
[1] https://raw.githubusercontent.com/akulapid/infragram-root/re...
[2] https://raw.githubusercontent.com/akulapid/infragram-root/re...
[3] https://raw.githubusercontent.com/akulapid/infragram-root/re...
[4] https://raw.githubusercontent.com/akulapid/infragram-root/re...
[5] https://raw.githubusercontent.com/akulapid/infragram-root/re...

value: Show HN: Infragram – C4 style interactive architecture diagrams for Terraform

author: aqula


value: bacdor

value: Metabolic Equivalent of Task is used to estimate calories burn and can be used to compare fatigue across different activities. I launched a free tool to play with it.

value: Show HN: Free app to estimate calories burn based on MET

author: bacdor


value:
Blog post on the research on why we made Reactions.
I am super excited to announce the launch of Reactions!
Reactions is a fun and visual way to express emotions and reactions in group settings, such as game nights, casual conversations, or family dinners.
Here is how to use them: https://reactionsdeck.com/2025

value: Show HN: Reactions

title: Show HN: Reactions


value: kcorbitt

value:
Hey HN, Kyle here, one of the co-founders of OpenPipe.
Reinforcement learning is one of the best techniques for making agents more reliable, and has been widely adopted by frontier labs. However, adoption in the outside community has been slow because it's so hard to implement.
One of the biggest challenges when adapting RL to a new task is the need for a task-specific "reward function" (way of measuring success). This is often difficult to define, and requires either high-quality labeled data and/or significant domain expertise to generate.
RULER is a drop-in reward function that works across different tasks without any of that complexity.
It works by showing N trajectories to an LLM judge and asking it to rank them relative to each other. This sidesteps the calibration issues that plague most LLM-as-judge approaches. Combined with GRPO (which only cares about relative scores within groups), it just works (surprisingly well!).
We have a full writeup on the blog, including results on 4 production tasks. On all 4 tasks, small Qwen 2.5 models trained with RULER+GRPO beat the best prompted frontier model, despite being significantly smaller and cheaper to run. Surprisingly, they even beat models trained with hand-crafted reward functions on 3/4 tasks! https://openpipe.ai/blog/ruler
Repo: https://github.com/OpenPipe/ART

value: Show HN: RULER – Easily apply RL to any agent

author: kcorbitt


value: NovaDrift

value: Show HN: ClipCheck: Fact Check Any Video Instantly

author: NovaDrift


value: maximedupre

value:
Intel > Info
Most of the competitor monitoring tools out there expose you to an overwhelming amount of information on your competitors.
We send you only high-signal intel straight to your email.

value: Show HN: I built a app to monitor your competitors and get only high-signal info

author: maximedupre


value: jlemee

value: Show HN: FaceGrid – I built a tool to generate AI face grids for your pitch deck

author: jlemee


value: karfly

value: Show HN: Instant ChatGPT PDF export with a 'ssyoutube'-like hack

author: karfly


value: Silesmo

value: Show HN: Heim a light weight FaaS platform for any language on any cloud

author: Silesmo


value: OlehSavchuk

value:
Hey HN!
We just rolled out a major update to Prepin with 15+ specialized interview categories. You can now practice mock interviews tailored to your specific field, from Software Engineering to Data Science to Product Management.
Try it out: You can jump straight into a mock interview and see how it feels. The categories really make a difference in getting relevant, targeted practice.
Would love feedback from the community - especially on which categories we should prioritize expanding next!
Link: https://prepin.ai

value: Show HN: Prepin just launched 15 interview categories for mock interviews

author: OlehSavchuk


value: TeemuSo

value:
I saw tons of paid SaaS starter templates, while the free ones were unnecessarily complex.
I create a simple SaaS template for Supabase & Stripe stack: https://github.com/TeemuSo/saas-template-for-ai-lite
How is it "AI friendly"?
It's easier to add new code rather than modify. I designed the template so you minimize refactoring the code, such that it's easy to extend with AI.
I've developed one SaaS based on the repository and it was quite a breeze. But, I want to improve it faster, and I hope to get some external feedback for it!

value: Show HN: SaaS Template Optimized for AI

author: TeemuSo

title: Show HN: SaaS Template Optimized for AI


value: JoeOfTexas

value:
It works for my P1S, but could use help testing on other printers.
I would love some help from a designer to make the stream overlay look sleek.
If you don't have Python setup, no worries, I made a zip file that has a Windows app.exe to run the app.
In the /static folder is the html/css/js files that let you customize the look and feel. The python app runs a webserver with websockets to share the live telemetry data from printer to browser.

value: Show HN: Made an app for streamers to overlay live Telemetry for Bambu printers

author: JoeOfTexas


value: triilman

value: Show HN: TCP Socket in RISC-V Assembly (RV64I)

author: triilman


value: kohii

value:
Hey HN!
I've been building CSV editors for 15 years. This is my third rewrite, and I think I finally got it right.
Key features:
- Excel-like operation for intuitive use
- Equipped with basic to advanced tools necessary for handling CSV
- Supports various formats and character encodings. Can handle CSVs with different column counts
- Cross-platform (Windows/Mac, Linux coming soon)
- Opens 100MB files in 1.6 seconds (12x faster than Excel)
Tech stack: Tauri (Rust + React/TypeScript/TailwindCSS)
Would love feedback from anyone dealing with large datasets daily!
Website: https://smoothcsv.com/
Blog: https://dev.to/kohii/the-technology-behind-smoothcsv-the-ult...

value: Show HN: SmoothCSV – The Ultimate CSV Editor

author: kohii


value: aaurelions

value: Show HN: Clearrr – effortlessly clear all heavy temp folders

author: aaurelions


value: nodezero

value: An initial thinking about how the increases on NATO's budget might might stimulate manufacturing in Europe led me to generate this map to understand better the hardware landscape. Credits to Gemini 2.5 pro on deep research mode, after a long conversation exploring questions around NATO and manufacturing, the generation of the map was smooth.

value: Show HN: Mapping supply chain of manufactured products

author: nodezero


value:
Hey HN,
After watching countless mobile side projects get buried after a single social media post, I built MobDrop - a platform where mobile devs can actually get discovered.
The problem: Twitter/Instagram posts disappear, GitHub repos don't showcase UI/UX well, and general platforms like Dribbble miss the technical side of mobile development. Mobile developers need a dedicated space to build their reputation and get found.
MobDrop is like Dribbble meets Product Hunt, but 100% focused on mobile development - apps, side projects, UI concepts, and prototypes.
Finally, a place where your Flutter animations and iOS transitions get the attention they deserve.
Key features:
→ Public dev profiles & project showcase
→ Weekly top 3 featured projects (community voted)
→ SEO-optimized (projects drops and dev profiles get indexed by Google)
→ Video/image support for demos
→ Free during early access
→ Gamification & mobile blog coming soon
I wanted something lightweight and motivating - a place where mobile devs could build a reputation for what they've actually built, not just what they talk about.
Looking for feedback from mobile devs specifically:
1. Would you showcase your side projects here?
2. What features would you like to see on platform like this?
Thanks for reading! if you're a mobile dev, I'd love to see your work on MobDrop.

value: Show HN: I was tired of my mobile projects getting buried – so I built MobDrop


value: acabralto

value:
Hi HN – I built [Castream](https://castream.io), a native mobile app for multi-streaming live video to platforms like YouTube, Facebook, Twitch, and more — directly from your phone.
Android is available now on the Play Store, and iOS is currently in beta.
I built this because I was frustrated with having to rely on OBS setups and clunky desktop workflows just to stream to multiple destinations. Castream lets you go live in seconds, with native camera + mic capture, high-quality video, and automatic restreaming handled server-side.
Tech stack:
- React Native app with native video/audio modules
- Hardware-accelerated encoding using MediaCodec and FFmpegKit
- FastAPI backend with Redis + MySQL
- Kubernetes-powered video processing for ingest/transcoding/fan-out
Would love feedback from anyone who's streamed before or is into media infrastructure. Offering a free month of the Pro tier to early users — no paywalls or gotchas. Just trying to make mobile streaming actually usable.

value: Show HN: Castream – Mobile multi-streaming app (Android live, iOS in beta)

author: acabralto


value: moonmagick

value:
We've just released elizaOS 1.0 this week. Try it yourself: `npx @elizaos/cli start`
elizaOS is a powerful new kind of agent framework. We've spent the last year iterating on a modular, plugin-based runtime with real use cases in real businesses: agents performing complex financial agents with realtime trading, camera and screen vision integration, voice and even 2D and 3D games.
Our project is MIT licensed, with contributions from over 600 contributors on Github. We have a crowd-funded in-house team of 10 developers. We see a lot of people using our agents to bring their existing startups to where their users are: on Discord, Telegram, Slack, or even text message and voice via our Twilio plugin.
While elizaOS is a powerful framework for developers, non-coders can build agents, too! Our GUI supports full agent creation and plugin customization, and our CLI has Claude Code-base generation of new plugins built-in. We've also made the framework very vibe-code friendly.
While we've been mainly focused on "useful agents", elizaOS is also a very powerful no-code character framework. Imagine character.ai but open source and fundamentally multi-agent, and your agents can have plugins to interact with the real world, from having their own e-mail address to being a full fledged voice assistant with screen vision and shell access (what could go wrong?).
We support pretty much every major inference provider, and you can also bring your own open source models. If you want to build agents that seamlessly integrate with your team or community, our project is probably a good option.
The runtime will even run natively in your browser!
Github here: https://github.com/elizaOS/eliza
You can find our docs here: https://eliza.how/

value: Show HN: ElizaOS 1.0 - Powerful and useful multi-agent framework in Typescript

author: moonmagick