value: henryjburg

value:
I had an idea for a game that fused my favorite time-waster games, Wordle and Sudoku, so I had a go at making my own daily number puzzle: Numbl
Basically, you need to fill the rows and columns with a unique set of digits 1-9 where each row or column has a constraint (sum, all odd, all even, range, etc.). It generates a puzzle each day, but you can try a random puzzle by pressing "New Game".
At work I'm easing more into using AI in my workflow so I used this as a testbed for incorporating it more (i.e. rapid prototyping and validation) without outsourcing core design or compromising engineering thinking.
I ended up with a finished product that I actually want to keep maintaining so I thought I'd share and invite any constructive advice or criticism the community would have!

value: Show HN: Numbl – A daily number puzzle inspired by Wordle and Sudoku

author: henryjburg


value:
What it is
Symvol turns any tech doc into AI-narrated video in ~1 min.
Every code block stays live-viewers can click-to-copy and run snippets while they watch.
Why we built it
We began as a generic “text → video lesson” tool. Early testers asked for coding support, so we added a code-aware pipeline. This is the first public launch of that version.
Try it
Drag-drop a PDF at symvol.io (free to try)
OR install our Chrome extension to run Symvol on any web page
Looking for feedback on
1) Narration accuracy
2) Clarity of visuals
3) Usefulness of the live copy-code feature
We’ll be around all day - happy to answer questions or dive deeper in the comments!

value: Show HN: Tech docs → video explainers in seconds


value: adewba

value:
RunAgent is a universal AI agent deployment platform that solves the language barrier and deployment complexity in AI development. While most AI frameworks like LangChain, LangGraph, CrewAI, Letta etc only provide Python SDKs and have fragmented deployment processes, RunAgent allows developers to write agents once in Python using any framework and access them natively from Rust, JavaScript, Go, or any other language through comprehensive SDKs.
The platform works through a framework-agnostic entrypoint system where developers simply provide a config file and their agent code, then deploy with a single terminal command to get an agent ID and endpoint. The magic happens in the SDKs - developers can call these deployed agents like native functions in their preferred programming language, with full support for both synchronous and streaming responses.
RunAgent is open-sourced to foster ecosystem growth similar to MCP's success. By standardizing the Python agent structure through simple config files, the platform enables community-driven development where Python developers can create agents that any developer in any language can instantly discover and deploy. For example, when a Rust developer needs a specific agent functionality, they can find community-contributed agents and hook into them with a single command deployment, eliminating language barriers entirely.
The open-source foundation handles local development and the multi-language SDK ecosystem, while the upcoming cloud platform promises Vercel-like simplicity for AI agents with serverless infrastructure that can deploy 2000 agents in under 10 seconds. RunAgent aims to democratize AI agent access across all programming languages and eliminate the current deployment friction that forces developers into Python/Js/Ts (max)-only workflows, positioning itself as "MCP for Agent Deployment" by providing the same standardization that MCP brought to model context, but for agent deployment and cross-language accessibility.

value: Show HN: RunAgent: Model Context Protocol (MCP) and Vercel but for AI Agents

author: adewba


value: arifliftos

value:
Hi HN,
I built Vizr because I was tired of jumping between dashboards and still not knowing what the hell was going on in my campaigns.
Vizr connects to your GA4, ad platforms, or Segment, and lets you just ask plain English questions like:
“Why did our CPA spike yesterday?”
“Which channel brought the most trial users this week?”
“How’s our retargeting performing in EMEA?”
You get:
A chart
 A 2-sentence explanation
 A one-click action you can take (like pausing a campaign or reallocating budget)
No dashboards to build, no SQL, no BI bottlenecks.
We’re currently in early access, and I’d love to receive feedback from individuals building GTM motions, growth teams, or analytics tooling. I'm especially curious about what you would ask if your data actually responded like a smart teammate.
You can join the waitlist here: https://vizr.app
Thanks!

value: Show HN: Vizr – Ask questions about your marketing data, get real answers

author: arifliftos


value: acabralto

value:
Hey HN,
I just launched the iOS version of Castream, a native app that lets you multistream directly from your phone to platforms like Twitch, YouTube, Facebook, and any custom RTMP endpoint. Android has been live for a bit — iOS just went up this week.
This was built to solve the usual pain points of mobile streaming: unreliable apps, no multistream support, or being forced to go through a PC. Castream uses native encoding and streams straight from your phone using real RTMP — no browser wrappers or WebRTC hacks.
Some quick details:
 • Native iOS and Android apps (hardware-accelerated video/audio encoding)
 • Multistreaming with your own RTMP keys
 • Free plan supports 720p to two destinations, up to 5 minutes per stream
 • Paid plans unlock 1080p, more destinations, unlimited stream time, and other features
 • Backend is FastAPI, using FFmpeg on-device for muxing/streaming
 • Built this solo — full stack + native mobile (Swift/Java/Kotlin)
We’re currently getting early sign-ups mostly through organic reach — haven’t spent anything on ads yet, just trying to get real users and feedback.
Links:
iOS: https://apps.apple.com/app/castream/id6747093725
Android: https://play.google.com/store/apps/details?id=io.castream.ap...
Website: https://www.castream.io
Would love any feedback — especially from folks building in video, streaming infra, or native mobile.
Thanks.

value: Show HN: Castream – Native iOS/Android IRL multistreaming app

author: acabralto


value: raboukhalil

value: I wrote a tutorial on how to create Bash scripts, where the command line interface runs entirely in the browser using v86 (https://github.com/copy/v86), and the code editor uses Monaco.

value: Show HN: Interactive Bash tutorial that runs in the browser

author: raboukhalil


value: guybedo

value: Show HN: Summary, topic, bullet points, references for popular HN posts

author: guybedo


value: nidegen

value: For legal matters docx is unfortunately omnipresent. You might end up needing to compare a pdf with an edited word doc.<p>docdiff is your tool for that!

value: Show HN: Docdiff – Diff the content of docx and pdf

author: nidegen


value:
Hey everyone!
I've been a Splitwise user for a long time (sometimes paying, sometimes not), and have been rather frustrated at their new-ish policy of only allowing N (small) expenses to be submitted per day. And I was curious to write some Rust and thought the expense simplification algorithm would be fun to implement, so I built this.
Thought others might find it fun or useful! It's dead simple to self host if you want to try it out :)

value: Show HN: Medici, a minimal, open-source, dead-simple Splitwise alternative


value: dyoshikawa

value: Show HN: Rulesync – Add Support for Kiro

author: dyoshikawa


value: valorantPanda

value: Show HN: CS2 crosshair Database that updates daily

author: valorantPanda


value: camchaney

value:
Hey HN,
I am Cam, and for the past two years I have been working on Compass, an open-source handheld CNC router that brings computer precision to woodworking while keeping the user directly involved in the process.
The idea started as my senior design project at UC Berkeley, with the goal of making a more approachable CNC machine—standard CNC machines are expensive, bulky, and remove you from the tactile “maker” experience. Compass solves that by combining a handheld router with real-time robotic assistance. You move the router roughly along a design path, and Compass uses four optical flow sensors (like in computer mice) and a 3-axis motion system to auto-correct for precision cuts.
What is different about Compass:
- Open source: All plans, firmware, and CAD files are available on GitHub.
- Affordable: The DIY build costs ~$600 in parts, and I am selling kits for <$800.
- No external markers: The sensing technology allows for positioning without external markers, so no setup or consumables required.
- Portable: Fits in a backpack and is not limited by a fixed work envelope.
We recently completed our first beta program and have just launched V1 kits for pre-order. You can find more info and the launch video at the listed URL.
GitHub: https://github.com/camchaney/handheld-cnc

value: Show HN: Compass CNC – Open-source handheld CNC router

author: camchaney


value: rododecba

value:
I was getting tired of social media. It feels like you always have to perform for likes and followers. I just wanted a simple place to put a thought or an idea out there without my name on it and without anyone judging it.
So I built this. It's called Libre.
It's basically the opposite of a social network:
No accounts or profiles
No likes, no comments, no followers
Just a text box to write something and post it anonymously
I built it with Firebase because I wanted something fast and simple to manage. It's just a week project, but it does what I wanted it to do.
You can see it here: https://libreantisocial.com
Let me know what you think.

value: Show HN: Libre – A simple site to post anonymous thoughts

author: rododecba


value: fortmeier

value:
Hi HN, the last half year I spent some of my spare time on learning Vulkan (mainly the compute part) and applied it directly in developing a gaussian splatting renderer. I am not sure where I will go with this, but I thought some of you might find it interesting and/or have suggestions on how to proceed.
Ultimately, I want to Klartraum to be an extensive neural network and rendering inference engine (no training, backprop, autograd) running on embedded devices and VR headsets with high performance. My major obstacle right now is that writing GLSL compute kernels is tedious compared to CUDA ...
What do you think should be added so the library would be of use for others?

value: Show HN: Klartraum, a neural rendering inference engine

author: fortmeier


value:
A Chrome extension that provides Vim-like keyboard navigation for search result pages.
Pressing Enter immediately after searching opens the first search result instantly.
j key: Select next search result
k key: Select previous search result
Enter key: Open selected search result
Highlight selected search result
Auto-scroll functionality

value: Show HN: JK Enter Google Search Chrome extension


value: vkaku

value: Show HN: Single file transformers implementation for learning

author: vkaku


value:
I built API Radar – a tool that scans public GitHub repositories for exposed API keys (like OpenAI, Google, Claude, and others) and shows them in a searchable interface.
It tracks:
Which services are most commonly leaked (e.g. Gemini, Google Maps, OpenAI)
Which repos and developers are leaking them
Historical leak data with timestamps and source URLs

value: Show HN: API Radar – Track Leaked API Keys in Public GitHub Repos


value: YaccoHakon

value: Show HN: I couldn't poop, so I built an app to track digestion in real-time

author: YaccoHakon


value: I'm not sure this accuracy is possible. But when i do 4 shot then val acc for scanobjectnn drops to about 90%. And for modelnet40 16 shot, it shows 96 val acc in top1. So I share my experiment result.

value: Show HN: Vlm in 3D PC, 16 shot scanobjectnn top1 acc: 99.91


value: sourovaf

value:
Hi HN,
We’ve been working on NativeSwap.io, a low-cost decentralized cross-chain swap platform. It lets users swap native assets (e.g. BTC <--> DOGE) directly, without using wrapped tokens or centralized bridges.
Our goal is to make cross-chain swaps cheaper, simpler, and safer. The platform is fully non-custodial and supports both regular and streaming swaps. Under the hood, it leverages liquidity from protocols like ThorChain and Maya Protocol.
Currently, We support the following blockchains:
- Bitcoin
- Ethereum
- BNB Smart Chain
- Ripple
- Dogecoin
- Litecoin
- Bitcoin Cash
- Zcash
- Base
- Avalanche
- Arbitrum
- Dash
- Radix
- ThorChain
- Maya Protocol
More are on the way.
We currently support Metamask and CTRL as browser wallets, as well as keystore files. Support for additional wallets is in progress.
We built this because most solutions either rely on wrapped assets or require trusting centralized bridges - both of which introduce risk. Many existing interfaces also charge high fees.
Would love feedback on the product, UI/UX, performance, security assumptions or anything else. Still early, but happy to answer questions and improve!
Thanks for checking it out

value: Show HN: NativeSwap – Low cost cross-chain swaps without wrappers or bridges

author: sourovaf


value: Show HN: I wanted better book recommendations – so I made Lorekeep


value: Show HN: A browser-based emoji to favicon generator


value: kuberwastaken

value: Show HN: A Repo That Takes a screenshot of ideabrowser's idea of the day daily

author: kuberwastaken


value:
Hi HN,
I’m an indie developer who kept running into the same bottleneck during code reviews and product planning:
Someone would describe a process—“A → B if success else C”—and I’d stop everything to sketch it out.
So I built a tool to turn plain English into editable flowcharts.
### What it does
- You can describe a process in natural language, and get a fully editable flowchart rendered on the page.
- No login required for a one-time free run.
- Logging in with Google (via BetterAuth) gives you one diagram per day.
- It uses Gemini 2.5 Flash under the hood.
- For now, exporting is only supported in `.excalidraw` format—but SVG/PDF are coming soon.
### Tech stack
- Frontend: Next.js 15 + TypeScript + Excalidraw
- Backend: Vercel Serverless Functions
- Auth: BetterAuth
- Database: Supabase
- Storage: Cloudflare R2 Bucket (S3-compatible)
### Try it
- Live demo: https://flowchartai.org
  The hosted version has usage limits due to server and model costs.
- Source code (MIT-licensed): https://github.com/tanchaowen84/flowchartai
  If you prefer, you're welcome to self-host the open-source version instead.
### Why I’m sharing
I built this to solve a personal pain point.
Would love to hear if it’s useful to you, or if there’s something obviously wrong I missed.
Bug reports, suggestions, architecture critiques — all welcome. I’ll be in the comments all day.
Thanks for taking a look.

value: Show HN: Flowchart AI – Write English, get a flowchart


value: Show HN: Metaexodus – utility to migrate production Metabase to local Postgres


value: haniehz

value:
A while back, I built a simple app to track stocks. It pulled market data and generated daily reports based on my risk tolerance. Basically a personal investment assistant. It worked well enough that I kept going.
Now, the same framework helps me with real estate: comparing neighborhoods, checking flood risk, weather patterns, school zones, old vs. new builds, etc. It’s a messy, multi-variable decision—which turns out to be a great use case for AI agents.
Instead of ChatGPT or Grok 4, I use mcp-agent, which lets me build a persistent, multi-agent system that pulls live data, remembers my preferences, and improves over time.
Key pieces:
 • Orchestrator: picks the right agent or tool for the job
 • EvaluatorOptimizer: rates and refines the results until they’re high quality
 • Elicitation: adds a human-in-the-loop when needed
 • MCP server: exposes everything via API so I can use it in Streamlit, CLI, or anywhere
 • Memory: stores preferences and outcomes for personalization
It’s modular, model-agnostic (works with GPT-4 or local models via Ollama), and shareable.
Let me know what you all think!

value: Show HN: I built an AI agent that helps me invest

author: haniehz


value: ascorbic

value: Show HN: Am-I-vibing, detect agentic coding environments

author: ascorbic


value: MrGilbert

value:
Hey folks! Recently, I had some spare evenings, and ended up digging into text-based resource management games from the 60's and 70's. I stumbled across 'Santa Paravia en Fiumaccio', which is a resource management game originally written in 1978 by George Blank, and published in the December 1978 issue of SoftSide magazine for the TRS-80 [1].
In 2003, Thomas Knox created a C version of this game, on which my conversion is based on. I rewrote the game in C# and wrote a (somehow long) blog post about it [2]. The game is available on GitHub under the original license (GPL 2), and I went a bit further and packaged it up in a way that it is playable in WebAssembly in the browser (although it loads roughly 8 MB in data).
Some issues:
- The map was not implemented in the C port from 2003. I skipped this part, but might add it later down the road. It is quite crucial, as the map provides you the information if your land/serfs ration is correct, and also if your land is adequately defended.
- The error handling leaves much to be desired, and the website needs a reload after the game ends. Generally speaking - if something feels off, just reload the page. If you would like to report issues, I'd like to hear from you in the comments or on GitHub [3]. :)
Besides that: My goal was to have some fun, finish a project and maybe the more approachable translation to C# means that someone feels inspired to pick up the original game and expand on it. I'd be really happy about that!
[1]: https://archive.org/details/softside-magazine-03
[2]: https://g5t.de/articles/20250709-santa-paravia/
[3]: https://github.com/DanielGilbert/Paravia/issues

value: Show HN: "Santa Paravia En Fiumaccio" in WebAssembly

author: MrGilbert


value: boo-ga-ga

value:
I had an idea to create a simple web app that gives people a challenge of finding a particular thing somewhere nearby or in their photo gallery.
The app has two "modes":
1. Shows a daily challenge preselected for each day. Just open the home page https://canyoulook.at to see it
2. Any user can create their own challenge and share link with friends, like the one in the post URL here
After the image reveal you can share result in text, inspired by Wordle:).
The app works by generating image description with Llama-3.2-11B-Vision-Instruct and comparing the result texts with MiniLM-L6-v2 run on DeepInfra.com as it seemed the simplest way to have an LLM API running for me.

value: Show HN: Canyoulook.at – A Daily Photo Challenge

author: boo-ga-ga


value: mariocandela

value:
Hello everyone
I wanted to share a project I've been working on that I think you'll find really interesting. It's called Beelzebub, an open-source honeypot framework that uses LLMs to create incredibly realistic and dynamic deception environments.
By integrating LLMs, it can mimic entire operating systems and interact with attackers in a super convincing way. Imagine an SSH honeypot where the LLM provides plausible responses to commands, even though nothing is actually executed on a real system.
The goal is to keep attackers engaged for as long as possible, diverting them from your real systems and collecting valuable, real-world data on their tactics, techniques, and procedures. We've even had success capturing real threat actors with it!
I'd love for you to try it out, give it a star on GitHub, and maybe even contribute! Your feedback,
especially from an LLM-centric perspective, would be incredibly valuable as we continue to develop it.
You can find the project here: https://github.com/mariocandela/beelzebub
Let me know what you think in the comments! Do you have ideas for new LLM-powered honeypot features?
Thanks for your time!

value: Show HN: Open-source project that use LLM as deception system

author: mariocandela


value: vitonsky

value: Show HN: DOMTranslator package to translate text nodes in DOM

author: vitonsky


value: SiddharthBasava

value:
Hey HN!
I'm a 17-year-old student building solo. I wanted to build a full app called WeekWise for habit building, but I don’t know mobile development yet. So I shipped one feature from it as a standalone web app: KarmaWall.
What it does:
Every day, you just post one productive thing you did. That’s it.
It's a small public wall to build daily consistency and feel accountable.
Why I built it:
I often start strong with habits and then fade. I needed a simple nudge to stay on track — not private, but also not overwhelming. KarmaWall is a tiny step toward fixing that.
Built with:
- Next JS + PostgreSQL
- OTP based authentication
- Desktop & mobile-ready
Try it: https://www.karmawall.space/
I’d love your thoughts. I'm planning to expand this into the full WeekWise app later, but I care most about helping people stick to small wins daily.
Thanks for reading!

value: Show HN: KarmaWall – A daily public wall for small productivity wins

author: SiddharthBasava


value: frydcircuit

value:
I just launched Type Spider, a typing practice site I built to help improve speed and accuracy without the clutter or distractions found in some other tools. It's lightweight, mobile-friendly, and built using Vue and Tailwind.
One feature I’m especially excited about is the on-screen keyboard that highlights each key as you type. It’s useful for beginners and helps build muscle memory. The site tracks words per minute and accuracy, and it works smoothly on both desktop and mobile.
I built this solo and tried to keep things simple and fast. I’d really appreciate any feedback from the community. Let me know what you think or what features you’d like to see added.
Thanks for taking a look!
https://typespider.com

value: Show HN: TypeSpider – A clean, fast typing practice site with live key feedback

author: frydcircuit


value: Show HN: UView – A Tool to View and Modify Unity Packages Outside Unity


value: Show HN: Insert yourself into that viral coldplay cheating video


value: Show HN: Daily Top 10 Installed Remote MCP Servers/AI Connectors


value: LimitlessDonald

value:
Permitta is an intuitive go library, which aims to help handle any kind of permission/access control in a simple and easy to understand way, even for beginners .
The fact that its intuitive doesn't take away how powerful it is to handle very complex and frequently used permission scenarios in different types of projects .
Why
Almost everything we do in computing these days needs permissions . There are hundreds of permission/access control systems and methods, many of them are not intuitive .
I wanted to create a system that would cover most popular use cases, where you can get started in minutes, whether you are a novice or very experienced programmer, yet still powerful enough to handle complex permissions .
I took inspiration from the linux permission system e.g rwxr--r-x, but took it some steps further and made it more intuitive
I wanted to be able to handle permissions/access control in a SaaS (or any application), with multiple access levels and users
I wanted to be able to control access for actions including Create, Read, Update, Delete, Execute (remember CRUDE - more on this later), I wanted to be able to control how much of each of those actions can be carried out by each user, and how frequently within a specific period of time they can carry out those actions .
I wanted to create a permission/access control system with no dependencies, except the go standard library
I wanted to enjoy writing and reading permissions/access control
I wanted to be able to write extremely complex permissions/access control for a user/org/entity on a single line
I did not want to have to write complex DB queries to verify permission and resource usage, which can get very tedious as an application gets more complex.
Features
Ability to set create, read, update , delete, execute (CRUDE) operations permissions
Ability to control start and end time for permissions
Ability to set quota limit (Quota is how many of a certain resource can exist at any given time)
Ability to set batch limit
Ability to set time based limits (all time , per minute, per hour, per day, per week, per fortnight, per month, per quarter, per year, custom time duration [in progress] )
Ability to verify permission against usage (you would need to store usage in your preferred DB )
Ability to verify permissions based on entity i.e (user, role, group, domain, organisation)
Ability to set entity permission order (the flow/order in which the permission should be checked e.g org->domain->group->role->user)
https://github.com/LimitlessDonald/Permitta

value: Show HN: An Intuitive Go Library for Handling Complex Permission/RBAC

author: LimitlessDonald


value: AzharKhann

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

value: Show HN: Transform passive YouTube watching into active learning

author: AzharKhann


value: magikMaker

value: Show HN: I created a new game: countdown

author: magikMaker


value: firasd

value:
I designed AlphaDec, a timezone-agnostic time format that encodes UTC timestamps into chronologically sortable strings like `2025_O2H5_389232`.
The key insight: by dividing the year into 26 periods (A-Z), then subdividing with numbers and letters, you get timestamps that sort naturally as strings while remaining human-readable.
Some practical benefits I've found:
- Perfect as prefixes for database keys
- Time-range queries by truncation (`2024_M` finds everything in that ~14-day period)
- LLM-friendly for log analysis and time-based reasoning
- Glanceable - you can quickly see where in the year a timestamp falls
Interesting emergent property: Periods F, M, S, and Z always bracket equinoxes/solstices, even in leap years.
Live clock: https://firasd.github.io/alphadec/
GitHub: https://github.com/firasd/alphadec
The readme has implementations in JavaScript and PHP. Would love feedback on the concept and where else this might be useful!

value: Show HN: AlphaDec, a readable, lexically sortable time format for humans and AI

author: firasd


value: Szpadel

value:
I implemented PoC Gateway that you can plug into existing coding agents/IDE integrations.
General idea is to ask multiple models independently and then combine responses into superior answer.
While this is very basic and naive implementation I noticed impressive results in coding tasks while using aider.

value: Show HN: Mixture-of-Models Gateway

author: Szpadel

title: Show HN: Mixture-of-Models Gateway


value: matheusosan

value: This project explores how functional programming and numerical computing in Elixir can be used to create dynamic, interactive visualizations, pushing the boundaries of what's possible with the BEAM.

value: Show HN: SnookerGameEx is a real-time multiplayer built with Elixir

author: matheusosan


value: A real-time matchmaking system, built with Elixir and focused on high-performance, scalability, and massive concurrency. Its main goal is to group users with compatible profiles or criteria, forming pairs or groups automatically based on configurable rules.

value: Show HN: MatchmakingEx – A matchmaking system, built on Elixir OTP principles


value: dclavijo

author: dclavijo

title: Show HN: Chimera-QxD-BMM-Qwen2-l22_28-alphaqd-1.5B-f16


value: teemur

value:
I think it's finally time to lock version 0.2 of my 4d side project. (Since previous Show HN a  couple of years ago: https://news.ycombinator.com/item?id=37100760 I scrapped lots of stuff and concentrated on making a javascript "game engine")
The sole purpose of this project is to explore whether it's possible to make the human brain spatially aware of four dimensions using Virtual Reality. It’s my first ever game project, my first time using Unity, first time writing C#, and my first anything with WebXR, so please be gentle! To manage expectations, it isn't visually pleasing yet and it's not easily approachable. To get anything out of this, you likely need a pen and a paper and draw 3d slices of 4d objects _many_ times.
The project is essentially a rudimentary engine where you can use JavaScript to define 4D objects and some limited behaviors. You can then explore these spaces in a browser (with or without a VR headset), moving and rotating through all four dimensions—including double rotations on planes like xz and yw.The game is a webxr project, meaning you can just play that on the browser, even without VR headset. Note, however, that the keyboard input is a bit limited.
As a demo, I've built a simple maze game where you try to find gems before time runs out. The challenge ramps up, and I'm currently stuck trying to comfortably navigate Level 6, which involves moving around four separate tesseracts. Here is a page where I have tried to visualize  what is going on at level 6:
https://www.brainpaingames.com/blog/updates/2024/07/28/Hyper...
I have no expectations that this will any day be anything but a niche project of mine, but I thought here might be someone interested in playing around. And If anyone has any ideas how the pedagogy of learning to operate in 4 spatial dimensions could be made somehow more achevable, I'm all ears.

value: Show HN: A rudimentary game engine to build four dimensional VR evironments

author: teemur


value: sebst

value: Show HN: I made an extension for VSCode that integrates opencode

author: sebst


value: Victorius

value:
Hi HN,
I built a free tool for product analytics of Ethereum smart contracts. It’s like Mixpanel or Amplitude, but for on-chain activity in dapps on EVM (for now).
You can:
* Track DAU/MAU, method usage, and cohorts
* Monitor failed transactions, gas usage, token balances
* Export reports and charts
* Use it without connecting a wallet
Link: https://moirailabs.com
I'm offering free custom reports if you drop your contract address here (or email me to hello@moirailabs.com). Would love feedback on what you’d want to track in smart contract usage!
Happy to answer questions about the implementation, tech stack, or future roadmap.
p.s. after signup you have 1 contracts slot for analysis for free

value: Show HN: Product Analytics for Ethereum Smart Contracts (Free and Open to All)

author: Victorius


value: swampus

value:
Hi HN,
I built FishSonar, an open-source real-time scanner that detects “fishy” trading activity on Binance (BTCUSDT).
Think of it as a meme-grade, poker-inspired market HUD: it highlights questionable trades, impulsive all-ins, and clusters of weak hands — but in the order flow of crypto.
It’s fully working (Go, Clean Architecture), exposes a REST API, and is perfect for streams, dashboards, or just watching the chaos unfold.
No database, no overkill — just connect and spot the fish!
Why? Because the market is full of “leaks”, and it’s both fun and a bit scary to see how much weak play happens every minute.
GitHub: https://github.com/swampus/FishSonar
Features:
- Real-time detection of suspicious (“fishy”) trades on Binance
- Several “fish” archetypes (THICC, SLEEPY, DUMB, LEVERAGE, etc)
- REST API for your bots/stream/analysis
- Easy to run: no setup, no secret keys, works out of the box
- Clear, modular Go code — hack away
Caveat:
This is a hobby project for research and fun — not a replacement for pro risk engines or quant research.
But if you want to visualize the never-ending stream of “questionable trades”, or just like market memes, give it a try!
Would love feedback, ideas, or memes!
(And yes, real sharks are still too smart for this algorithm.)

value: Show HN: FishSonar – Real-Time Crypto "Fish" Detector for Binance

author: swampus


value: goloroden

value: Show HN: A database specialized in Event Sourcing

author: goloroden


value: iboshidev

value: built a simple study app that turns messy notes (images or text) into flashcards + quizzes using gpt-4o.<p>originally made it to help myself focus while studying. launched with a hard paywall to avoid ads or noise.<p>~60 users so far, mostly from tiktok. curious if this is useful beyond my own use case?

value: Show HN: I built a simple study app and got 60 users so far:')

author: iboshidev


value: SophieBroderick

value: Show HN: Project 5QL, a different approach to working with SQL

author: SophieBroderick


value: imightbekyle

value:
Video meeting app for voice ai developers to demo their voice agents to clients.
I used LiveKit's open source meet app and customized it to bring your own ai voice agents and ai avatars into the video meeting room. Perfect for showing your agents to clients, working out issues, and experiencing conversations in "person" in real time.
Uses NextJS and has a couple of backend agent examples in the agents directory, one for voice and one for avatar.
Demo video in README
Let me know if you have any questions
See ya!

value: Show HN: I built a video meet app integrated with AI voice and avatar agents

author: imightbekyle


value:
I launched an iOS app that lets you scan documents as quickly as your camera takes photos, all wrapped in the skeuomorphic style of iOS 6.0.<p>It was a fun indie project.
Hope some of you will enjoy it! :)

value: Show HN: I made a scan app in the skeuomorphic style of iOS 6.0


value: qwikhost

value: One-click Amazon review scraper - export reviews to CSV, JSON, or Excel for easy product research and analysis.

value: Show HN: Amazon Review Scraper

author: qwikhost

title: Show HN: Amazon Review Scraper


value: knrz

value:
Show HN: Context42 - AI-powered style guide generator for your codebase
Hey HN,
I've been building Context42 to solve a problem that's been bugging me: getting AI to write code like me, and helping disseminate coding best practices.
The core insight is simple - your existing code is already your best style guide. Instead of debating tabs vs spaces or where to put your curly braces, Context42 analyzes your actual codebase and generates comprehensive style documentation using Google's Gemini AI.
Here's what makes it special:
1. *Language-aware analysis* - It groups files by language and generates specific style guides for each. Your TypeScript patterns won't bleed into your Python conventions.
2. *Dependency-smart processing* - It analyzes child directories before parents, building up context as it goes. This means it understands your module structure and can identify patterns that emerge across your architecture.
3. *Built for real codebases* - With configurable concurrency, resume capability, and automatic cleanup, it's designed to handle everything from small projects to massive monorepos. The terminal UI (built with Ink/React) gives you real-time progress on what's happening.
4. *Pragmatic over prescriptive* - Instead of enforcing arbitrary rules, it documents what you're already doing. This makes it easier to onboard new developers and maintain consistency without religious debates.
The technical approach is interesting too - it uses a worker pool pattern with abort controllers for graceful shutdown, SQLite for persistence (so you can resume failed runs), and a file registry system that guarantees cleanup even on crashes.
I built this because I believe the best documentation is the kind that reflects reality, not aspirations. Your code style isn't what you think it should be - it's what it actually is. And that's worth documenting.
You can check it out at: https://github.com/zenbase-ai/context42
Would love to hear your thoughts, especially if you've tackled similar problems in your teams. What's worked for you in maintaining code consistency at scale?

value: Show HN: Context42 – capture your coding style from across your projects

author: knrz


value: ashwch

value:
It monitors battery health, CPU, and memory usage with <1% CPU overhead and <50MB memory footprint. Uses direct IOKit/mach calls and adaptive refresh rates.
MembershipFeatures:
  - 6 desktop widget styles
  - Built with SwiftUI, zero dependencies
  - Works on macOS 11.0+ (Intel + Apple Silicon)
It's open source and I'd love your feedback!
Download: https://microverse.ashwch.com
GitHub: https://github.com/ashwch/microverse

value: Show HN: Microverse – Lightweight macOS system monitor (<1% CPU, <50MB memory)

author: ashwch


value: kuzej

value:
It started, as many meaningful projects often do, not with a grand vision, but with a quiet frustration. I remember sitting with my aunt, a meticulous planner, as she tried to make sense of her savings. She had a small sum set aside and was looking into Certificates of Deposit, trying to find the best home for her hard-earned money. Bank websites were a maze of fine print, varying terms, and different compounding frequencies. She’d painstakingly jot down numbers, trying to compare a 3-year CD with quarterly compounding against a 5-year one with monthly compounding, all while battling the niggling fear of making a mistake. Her spreadsheet was a patchwork of formulas she wasn't entirely confident in, and the whole process left her feeling overwhelmed, not empowered.
Watching her struggle, I felt a familiar ache. I’d been there myself. The financial world, for all its talk of transparency, often felt deliberately opaque. Calculating compound interest manually, or even with basic online tools, was tedious and rarely offered the clarity needed to make truly informed decisions. You could get a number, sure, but you couldn't see the growth, compare scenarios side-by-side, or easily adjust variables to understand their impact. And the thought of inputting personal financial data into just any website always felt like a leap of faith.
That's when the idea for the CD Interest Calculator began to take root. It wasn't about building just another calculator; it was about building a tool that truly served the individual, stripping away the complexity and replacing it with clarity and confidence. I envisioned a place where my aunt, or anyone like her, could instantly plug in numbers and not just get a result, but understand it. A visual chart that showed the power of compounding over time, the subtle but significant difference a daily compounding frequency could make, or how a slightly higher rate on a longer term truly translated into dollars.
The journey wasn't without its challenges. It wasn't enough to just implement the standard compound interest formula; I wanted it to be robust, covering all the nuances: daily, monthly, quarterly, annual compounding. Then came the realization that people don't just want to calculate; they want to plan. What if you knew your target amount, but needed to figure out the interest rate required to get there? Or, a critical one, how do taxes impact your actual take-home earnings? These questions led to the development of the reverse rate and tax calculators, each designed to answer a specific, deeply felt need.
But the most crucial design principle, born from that initial moment of watching my aunt's trepidation, was privacy. It was paramount that users felt completely secure. That meant no data ever leaving their browser, no information stored on servers. Every calculation, every projection, happens right there on their device, giving them complete control and peace of mind.
Building this suite of tools has been a labor of love, driven by the belief that everyone deserves to understand their money clearly, without jargon or guesswork. It’s about empowering people to visualize their financial future, compare options with confidence, and make decisions that truly serve their goals, all from a place of genuine understanding and trust.

value: Show HN: Made a CD interest for my family

author: kuzej


value: Realized all the existing platforms like blinq, hihello store my data on the cloud using accessible by link. Created the product to counter that, only personal data store is your email when creating account, rest all processing happens in browser, apple wallet is a simple vercel cloud function, not store in project DB. Focusing on privacy has it's downside too, cant allow to edit the card since I don't store the data to edit. Happy to listen to feedback to improve the product

value: Show HN: The only privacy focused digital business card platform


value: pekingzcc

value: Show HN: One-Click Viral Shorts Creator – No Prompt Needed

author: pekingzcc


value: yc-azran

value: Building with Framer anyone? I found myself constantly searching for quality templates, plugins, and other tips. I built framer.zone – a curated directory to help you speed up your projects.<p>Want to reach a wider audience with your Framer templates at Framer.zone? Also feel free to submit your Framer work for free today!

value: Show HN: Framer.zone – Discover and Share Framer templates, plugins and more

author: yc-azran


value: thomasfromcdnjs

value: Show HN: Llm-benchmark – Benchmarks LLM-optimized code across multiple providers

author: thomasfromcdnjs


value: nodesocket

value: Show HN: StratoPi open source project to send a Raspberry Pi to the StratoSphere

author: nodesocket


value: ArneVogel

value:
This is inspired by [1] which was posted to HN two days ago [2]. In the blog the Jack describes this game:
* Is it closer to Mussolini or bread? Mussolini.
* Is it closer to Mussolini or David Beckham? Uhh, I guess Mussolini. (Ok, they’re definitely thinking of a person.)
* Is it closer to Mussolini or Bill Clinton? Bill Clinton.
* Is it closer to Bill Clinton or Pelé? Bill Clinton, I think.
* Is it closer to Bill Clinton or Grace Hopper? Grace Hopper.
* Is it closer to Grace Hopper or Richard Hamming? Richard Hamming.
* Is it closer to Richard Hamming or Claude Shannon? You got it, I was thinking of Claude Shannon.
I wondered if it was possible to play this game against the computer [3]. I have solved this using the word vectors from GloVe: Global Vectors for Word Representation [4] and projecting them to 2d.
I am not 100% happy with how the game plays right now. It is hard to get closer to the target right now if you started "far away" from the target. That is why I have added the hints. If you have ideas for the game format let me know :)
[1] https://blog.jxmo.io/p/there-is-only-one-model
[2] https://news.ycombinator.com/item?id=44595811
[3] https://xkcd.com/1425/
[4] https://nlp.stanford.edu/projects/glove/

value: Show HN: I made a word guessing game based on word semantic similarity

author: ArneVogel


value: maulikdhameliya

value: Show HN: LaunchIgniter – Launch Platform for Makers

author: maulikdhameliya


value: Brysonbw

value: Visual Studio Code extension for adding lit component snippets.

value: Show HN: Lit Component Snippets

author: Brysonbw

title: Show HN: Lit Component Snippets


value: prono

value:
Hi HN!
I built a custom MCP (Model Context Protocol) server that connects Blender to LLMs like ChatGPT, Claude, and any other llm supporting tool calling and mcps, enabling the AI to understand and control 3D scenes using natural language.
You can describe an entire environment like:
> “Create a small village with 5 huts arranged around a central bonfire, add a river flowing on the left, place a wooden bridge across it, and scatter trees randomly.”
And the system parses that, reasons about the scene, and builds it inside Blender — no manual modeling or scripting needed.
What it can do:
-  Generate multi-object scenes like villages, landscapes, from a single prompt
-  Understand spatial relations — e.g., “place the bridge over the river” or “add trees behind the huts”
-  Create camera animations and lighting setups: “orbit around the scene at sunset lighting”
-  Respond to iterative changes like: “replace all huts with stone houses” or “make the river narrower”
-  Maintain object hierarchy and labels for later editing
Tech Stack:
- Blender Python scripting
- Node.js server running MCP
- LLM backend (OpenAI / Claude, easily swappable)
Demo:
https://blender-mcp-psi.vercel.app/
GitHub:
https://github.com/pranav-deshmukh/blender-mcp-demo/
Curious to hear thoughts from folks in 3D tooling, AI-assisted design, or dev interface design. Would you find this useful as a Blender plugin? I’m open to expanding it!
Please try it and give it a star on github

value: Show HN: MCP server for Blender that builds 3D scenes via natural language

author: prono


value: beboplifa

value:
I am an audiobook addict that coded this https://github.com/cpttripzz/Chatterblez. I am using it all the time and it works nice. I have only bothered to get it working on windows but it should be cross-platform as it uses pyqt, I would be happy for contributors to help get it working on macos and linux and also ATI and other video cards.
If you are stuck without a video card I recommend using https://github.com/cpttripzz/audiblez it can generate an audiobook in around 4 hours with a decent CPU

value: Show HN: New Audiobook Generator for Nvidia Using Chatterbox TTS

author: beboplifa


value: ColonelParrot

value: Show HN: Benchstreet – the benchmark for financial time series forecasting

author: ColonelParrot


value: zetter

value: Hi all, I've just published my first book on Leanpub. The book is a guide to building your own database server that is similar to PostgreSQL or MySQL. You'll find out about how to build a typed programming language, execute SQL and learn how the internals of real databases work.<p>The page links to the 'community edition' which lets you see a free preview of the first few chapters.

value: Show HN: I just published my practical guide to building a database server

author: zetter


value:
Hi HN
I've been building *Emporium*, a fully open source and self-hostable eCommerce platform designed for creators, artists, therapists, solopreneurs, and independent sellers who want to run their own store — *without monthly fees or vendor lock-in*.
---
###  Tech stack (briefly):
- *Frontend*: React + TailwindCSS + Zod + ShadCN UI
- *Backend*: FastAPI + PostgreSQL + Pydantic models
- *Form engine*: JSON-driven admin forms auto-synced with backend models
- *AI integration*: Optional local assistant via ShellGPT + Ollama
- *Deployment*: Docker with `sacred-run-all.sh` (1-line bootstrap)
---
###  Why Emporium?
I built this because most eCommerce platforms are:
- Expensive (SaaS monthly plans)
- Closed-source or bloated
- Not made for small, mission-driven creators
*Emporium* is:
- Light, fast, and modular
- Based on simple JSON configs for UI/admin
- Easy to host locally or on your own VPS
- Designed for clarity and customizability
---
###  Links
*GitHub Repo* → [https://github.com/DOMINUS-SILENS/COMMERCIUM](https://github.com/DOMINUS-SILENS/COMMERCIUM)
---
This is still a work in progress — I'd love feedback from the community.
Try it out, clone it, fork it, break it.
Ideas and contributions welcome!
Let me know if you'd like to help build plugins, payment modules, or local-first features.
𓂀 Built with open source spirit and sacred commerce in mind.

value: Show HN: Emporium – An Open Source Shopify Alternative for Creators


value: FerkiHN

value:
XID generates 20-character globally unique IDs (48-bit timestamp + 64-bit entropy + 8-bit counter + 5-bit checksum) in a single C file with zero dependencies. Features built-in timestamp extraction, collision resistance, and portable design for any platform - ideal for databases, IoT, and distributed systems.
char id = xid_generate(); // => "01H5Z7K4W9A3B6C8D0F2G"
Gists: https://gist.github.com/Ferki-git-creator/17450d52d143f746f0...
(Feedback wanted: entropy improvements, embedded use cases, optimizations)*

value: Show HN: XID – Dependency-Free Unique ID Generator in One C File

author: FerkiHN


value:
Hi, I'm currently developing an alternative to Sonarr/Radarr/Jellyseer that I called MediaManager.
Github Repo Link: https://github.com/maxdorninger/MediaManager
Why you might want to use MediaManager:
OAuth/OIDC support for authentication;
movie AND tv show management;
multiple qualities of the same Show/Movie (i.e. you can have a 720p and a 4K version);
you can on a per show/per movie basis select if you want the metadata from TMDB or TVDB;
Built-in media requests (kinda like Jellyserr);
support for torrents containing multiple seasons of a tv show;
Support for multiple users;
config file support (.toml);
merging of Frontend and Backend container (no more CORS issues!);
addition of Scoring Rules, they kinda mimic the functionality of Quality/Release/Custom format profiles;
addition of media libraries, i.e. multiple library sources not just /data/tv and /data/movies;
addition of Usenet/Sabnzbd support;
addition of Transmission support;
MediaManager also doesn't completely rely on a central service for metadata,
you can self host the MetadataRelay or use the public instance that is hosted by me (the dev).

value: Show HN: I made MediaManager, a modern alternative to the *ARR ecosystem


value: codebyagon

value:
I’ve been working on Gix — a small CLI tool that brings a bit of AI into the Git workflow. Written in Go, cross-platform, and fully local (uses your own OpenAI key).
It helps split large diffs into smaller commits and suggests conventional commit messages. Still early-stage, but usable. Open to feedback, contributions, or a star if you find it helpful.
Repo: https://github.com/ademajagon/gix

value: Show HN: Gix – A small CLI tool that adds AI to Git

author: codebyagon


value:
Built this as a toy project to understand knowledge graphs by tackling a real problem: traditional RAG fails badly on legal documents because it misses interconnections between sections.
The system actually combines both approaches on every query - gets semantic matches via TF-IDF, retrieves structural relationships from Neo4j, then feeds both contexts to OpenAI for comprehensive answers.
Used the Indian Income Tax Act as test data since legal documents have natural graph structures. Queries like "What sections reference Section 80C?" get both the reference network AND content explanations.
Full transparency: includes some AI-assisted code as I was learning Neo4j/graph concepts, but the hybrid architecture and problem framing are mine.
Tech stack: Python, Neo4j, OpenAI API, scikit-learn (TF-IDF), numpy. Docker + Makefile for easy setup.
Would love feedback on this pattern for other structured documents.

value: Show HN: Hybrid Knowledge Graph and RAG for Legal Documents (Learning Project)


value: harvansh

value:
No, I’m not a freelancer. I don’t have clients.
But I couldn’t stop thinking:
"Why the hell do we still send Looms, screenshots, or set up staging servers - just to get feedback on a dev build?"
So after 6 hours of raw networking hell, I built Mirage - a developer-focused CLI that:
Shares your live localhost instantly
Clients can click any UI element and leave comments
You can reply to their feedback right from your terminal - no browser, no Slack, no BS
And any code changes you make? Client sees them instantly. No redeploying anymore.
Why Mirage?
Because ngrok is great, but it stops at tunneling.
Mirage goes further:
Built-in client feedback widget
Real-time updates without staging hell
Comments show up in your CLI
You stay in dev flow, no jumping tools.
How it works
1. Run mirage in your project folder
2. Share the generated link with your client
3. They see your actual running UI
4. They click elements and comment inline
5. You reply live from terminal
6. You make changes → they see it live
Built With
Node.js
Local tunneling
Custom DOM overlay for feedback capture
Real-time sync + terminal reply system
Who is this for?
Freelance devs sick of Looms and staging servers
Indie hackers shipping fast
Agencies juggling multiple review cycles
Anyone tired of “send me a build” nonsense
If you've ever screamed “I just want feedback without staging a full build” - Mirage is for you.
Gonna Make it open-source if anyone need it, i dont know why i had this idea but its here.
Would love feedback from fellow builders??
Here is the screen recording...
https://x.com/AINotSoSmart/status/1946866364213510516?t=TvYn...

value: Show HN: Built a localhost-sharing CLI with live feedback

author: harvansh


value: memset

value: Show HN: Homepagr, Bookmarks for Work

author: memset

title: Show HN: Homepagr, Bookmarks for Work


value: dvdgdn

value:
TLDR: I'm building an infrastructure agnostic trust-building protocol ground in Promise Theory.  It formalizes the notion of merit as a domain-specific promise-keeping track record.
Most trust systems collapse nuanced capabilities into oversimplified scores (think Uber ratings or GitHub stars). A surgeon might have excellent bedside manner but declining surgical outcomes, yet both get averaged into a single reputation score. This information loss becomes dangerous as AI systems start making consequential decisions.
Agency Protocol treats trust as domain-specific and economically consequential. Instead of hoping systems behave well, we require explicit, stakeable promises:
- A diagnostic AI promises ">95% accuracy on chest X-rays" and stakes computational credits
- A translation service promises "medical document accuracy with <24hr turnaround"
- Each promise is independently assessable with verifiable evidence
When promises are broken, stakes get slashed. When they're kept, trust (and economic advantage) compounds.
We're heading toward AI-to-AI coordination at scale—autonomous systems making millions of micro-decisions without human oversight. Traditional reputation systems weren't designed for this speed or specificity. Agency Protocol creates trust as a programmable primitive, like TCP/IP did for data transmission.
The economic mechanism is crucial: it makes reliability profitable and deception expensive, regardless of what the system "wants" to do internally.
See It In Action
I've built a working demo at promise-keeping.com, exploring some potential applications in AI, media, etc. The UX translates complex economic incentives into intuitive interactions.
Some open questions:
- How do we prevent gaming when AI systems fully understand the economic incentives?
- What happens to privacy when everything becomes assessable?
- Can this framework scale to coordinate millions of specialized AI agents?
The theoretical foundations draw from Promise Theory and game theory, but I'm most curious about practical adoption challenges. Would love feedback from anyone building autonomous systems or thinking about trust infrastructure.
Technical whitepaper and implementation details at the demo site.
https://www.promise-keeping.com/

value: Show HN: Agency Protocol – Domain-Specific Trust Through Verifiable Promises

author: dvdgdn


value: skrid

value:
I built FlouState because "4 hours of coding" tells you nothing. Was it 4 hours debugging or 4 hours building features? Very different.
It's a VS Code extension that automatically categorizes your coding into: Creating (new features), Debugging (fixing issues), Refactoring (improving code), or Exploring (learning codebase).
Example: Yesterday I "coded" 6 hours but it was actually 3.5h debugging a race condition, 1.5h refactoring, 0.5h tests, 0.5h exploring. Traditional time trackers just show "6 hours in TypeScript."
Technical: Tracks file changes, debug sessions, and edit patterns locally. No code content sent. Updates web dashboard every 30 seconds via Supabase.
Free with 7 days history. Considering open sourcing the detection algorithms.
https://floustate.com or search "FlouState" in VS Code marketplace.
Curious what your debugging % is - mine was way higher than expected.

value: Show HN: FlouState – See if you're debugging, creating, or refactoring (free)

author: skrid


value: aaurelions

value: Octomailer is a powerful, universal Node.js library for sending transactional emails. It provides a single, unified API to interact with multiple email service providers, allowing you to switch between them effortlessly and implement sophisticated sending strategies.

value: Show HN: OctoMailer – universal Node.js lib for multiple email service providers

author: aaurelions


value: gjuchault

value: Show HN: Flowgen, effect inspired type-safe error management using generators

author: gjuchault


value: wwdmaxwell

value:
I know there’s a bunch of these tools already out there for public sources of info. I built this tool because I was getting frustrated by having to clone repos of libraries/APIs I'm using to be able to add them as context to the Cursor IDE (so that Cursor could use the most recent patterns). I would've preferred to just proxy GitHub search, but that seems to be limited to public repos via Copilot chat, and not available via graphql. This repo hosts a remote MCP server to facilitate a RAG query against an indexed GitHub repo. Indexing is performed via Cloudflare workflows, I’ve included info for how to deploy this in your own instance as I think having remotely accessible embeddings can be very useful for an organization.
[readme](https://github.com/edelauna/github-semantic-search-mcp/tree/...)

value: Show HN: MCP that adds RAG for private repos

author: wwdmaxwell


value: rohitghumare

value:
A platform built to explore how large language models perform in chess games - OpenAI, Claude, Gemini.
We created this platform using Motia to have a leaderboard of the best models in chess, but after researching and validating LLMs to play chess, we found that they can't really win games. This is because they don't have a good understanding of the game.
In fact, the majority of the matches end in draws. So instead of tracking wins and losses, we focus on move quality and game insight. Each game is evaluated using Stockfish, the world's strongest open-source chess engine.
How's it evaluated?
On each move, we get what would be the best move using Stockfish to get the difference between the best move and the move made by the LLM, that's called move swing. If move swing is higher than 100 centipawns, we consider it a blunder.
Is this project Open-Source?
Yes! This platform is built using Motia Framework to showcase how simple it is to build a real-time application with Motia Streams. You can find the source code of this project on GitHub.

value: Show HN: Launching ChessArena – open-source Chess Benchmark to evaluate LLMs

author: rohitghumare


value: Show HN: Chat based AI form builder and calculator


value: Voycawojka

value:
Calligro is an open source tool for generating bitmap fonts. It uses the same specification as AngelCode's BMFont but unlike other similar programs it's designed specifically to work with characters you draw yourself.
Basically, you export a template, draw your characters in it with any graphics editor, and then import it back to Calligro and generate a bitmap font.
It has both online and offline version. I just released version 2.0 with completely revamped UI.

value: Show HN: Generate bitmap fonts from custom images

author: Voycawojka


value: BenderV

value:
Hey HN!
Maybe I’m crazy because I’ve been tinkering with this since GPT-3 era... but today, I’m thrilled to share Myriade with you.
As a data guy, I’ve always been frustrated by the effort involved in answering simple questions. Not that SQL is hard, but a simple question can easily require 10+ queries and 1h+ of our time.
Which means it’s not worth doing - more often than not.
Myriade is a natural language interface to analyze your database, which allows you to get answers in seconds/minutes, not hours.
Live Demo: https://hn.myriade.ai (explore HN data!)
Repository: https://github.com/myriade-ai/myriade
What it does:
- Ask "Why was there a drop in sales on July 14?” instead of writing JOIN statements
- The data analyst agent will explore, try, correct, adapt, inspect, analyze & synthetize a response… beyond the classical NL2SQL.
- See the agent's full interaction and “take over” at any moment.
- Works with Postgres, MySQL, Snowflake, BigQuery
- Self-hostable (so you can control where your data goes)
Under the hood
- Developed my own agent library for this (https://github.com/BenderV/autochat)
- Uses Anthropic Claude (also compatible with OpenAI and others)
- Postgres/Flask/SQLAlchemy/Vue/Tailwind/Echarts
I’ve used it a lot, and it shows great potential that goes beyond just “getting information”.
Interesting use cases I've seen:
- “What KPIs should I focus on ?” → Select your KPIs
- “Detect quality issues in billing data" → Review data quality
- “Flatten this table” → Prepare a view
- “Make this query run faster: X” → Optimize a query
This clearly is not the one-size-fits-all solution to solve BI, but I find it really useful for day to day.
Try it for yourself - let me know what you think! I’d love to get any feedback, feature requests and (especially) criticism you may have!

value: Show HN: Myriade – Ask your database questions in plain English

author: BenderV


value: beledev

value: Show HN: Visualize your Git activity directly from VS Code

author: beledev


value: maslianok

value:
Hi HN,
I built GitRanks because I’ve always wanted a clear, fun way to see how my open-source work compares - both globally and right here at home. The app pulls in GitHub data to give every developer an at-a-glance “scorecard”, then rolls those into live leaderboards so you can:
- Track rankings by stars, contributions and followers
- Filter worldwide vs. your own country
- Refresh daily - no waiting weeks to see your progress
- Discover rising devs you’ve never heard of and follow their work
Tech Stack:
- Back: MongoDB | NestJS | BullMQ | GraphQL
- Front: Next.js | Tailwind | Shadcn
Data:
- 6.1M profiles
- 0.7M organizations
- 12.5M repositories
Try it
https://gitranks.com/
GitHub repo
https://github.com/gitranks/gitranks-ui
This is just v1, and I’d love your thoughts! What metrics or filters would make the leaderboards even more useful? Anything unclear or missing? I’ll be here answering questions and would really appreciate critical feedback. Thanks for checking it out!

value: Show HN: GitRanks – GitHub Profile Analytics and Rankings

author: maslianok


value: tygra

value:
Hey HN,
Tygra is a privacy-first AI document processing tool for macOS (Windows support coming soon) that helps you automatically parse and validate documents — securely and privately. It supports PDF, JPG, and PNG file formats, and runs entirely on your computer, powered by the latest Mistral models. With Tygra, your sensitive information never leaves your device or network.
Check it out: https://tygra.ai/
Looking forward to hearing your thoughts!

value: Show HN: Privacy-first AI document processing

author: tygra


value: hyperfield

value:
Hi everyone,
Just wanted to share a use case where local LLMs are genuinely helpful for daily workflows: file organization.
I've been working on a C++ desktop app called AI File Sorter – it uses local LLMs via `llama.cpp` to help organize messy folders like `Downloads` or `Desktop`. Not sort files into folders solely based on extension or filename patterns, but based on what each file actually is supposed to do or does. Basically: what would normally take me a great deal of time for dragging and sorting can now be done in a few.
It's cross-platform (Windows/macOS/Linux), and fully open-source.
[GitHub repo](https://github.com/hyperfield/ai-file-sorter)
[Screenshot 1](https://i.imgur.com/HlEer13.png) - LLM selection and download
[Screenshot 2](https://i.imgur.com/KCxk6Io.png) - Select a folder to scan
[Screenshot 3](https://i.imgur.com/QTUG5KB.png) - Review, edit and confirm or continue later
You can download the installer for Windows in [Releases](https://github.com/hyperfield/ai-file-sorter/releases) or the Standalone ZIP from the [app's website](https://filesorter.app/download/).
Installers for Linux and macOS are coming up. You can, however, easily [build the app from source](https://github.com/hyperfield/ai-file-sorter/blob/main/READM...) for Linux or macOS.
---
###  How it works
1. You choose which model you want the app to interface with. The app will download the model for you. You can switch models later on.
2. You point the app at a folder, and it feeds a prompt to the model.
3. It then suggests folder categories like `Operating Systems / Linux distributions`, `Programming / Scripts`, `Images / Logos`, etc.
You can review and approve before anything is moved, and you can continue the same sorting session later from where you left off.
Models tested:
- LLaMa 3 (3B)
- Mistral (7B)
- With CUDA / OpenCL / OpenBLAS support
- Other GPU back-ends can also be enabled on `llama.cpp` compile
---
### Try it out
* Windows: [SourceForge](https://sourceforge.net/projects/ai-file-sorter/) or [GitHub Releases](https://github.com/hyperfield/ai-file-sorter/releases)
* Linux/macOS: build from source (instructions in the [README](https://github.com/hyperfield/ai-file-sorter/blob/main/READM...))
---
I’d love feedback from others using local models, especially around:
- Speed and accuracy in categorizing files
- Model suggestions that might be more efficient than Mistral/LLaMa
- Any totally different way to approach this problem?
- Is this local LLM use case actually useful to you or people like you, or should the app shift its focus?
Thanks for reading!

value: Show HN: Use local LLMs to organize your files

author: hyperfield


value:
Large Language Models (LLMs) like GPT-4, Claude, and Gemini all have different API formats.
Inputs (requests) vary (prompt structure, temperature, top_p, etc.), and outputs (responses) also differ (metadata, reasoning, error handling). If you want to switch providers or build cross-LLM tooling, you need lots of custom adapters.
Open LLM Specification (OLLS) is an open, community-driven attempt to standardize both inputs & outputs for LLMs.
Example:
json
//  Standardized input
{
  "model": "gpt-4o",
  "task": "question_answering",
  "prompt": "What is the capital of France?",
  "parameters": { "temperature": 0.7 }
}
//  Standardized output
{
  "content": "The capital of France is Paris.",
  "metadata": { "tokens_used": 123, "confidence": 0.95 }
}
The goal is vendor-neutral interoperability—making it easier to:
Switch between LLM providers without rewriting code
Parse outputs consistently
Build universal middleware & tooling
We’re looking for contributors! Anyone can join the discussion, suggest fields, or share real-world needs.
Repo: https://github.com/julurisaichandu/open-llm-specification
Would love feedback from developers working with multiple LLMs. What fields/structures do you think should be mandatory vs optional?
Let’s make LLMs easier to work with across providers.

value: Show HN: Open LLM Spec – Standardizing inputs and outputs across providers


value: Show HN: I made a CLI tool to change the Neovim color scheme faster


value: fishtoaster

value: Based on a passing comment on mastodon a year or two back, what if Tic Tac Toe was a hidden information game?  I thought that'd be kinda fun to whip up, so here it is as a two-player, online, async game.  Code at https://github.com/kkuchta/kttt

value: Show HN: Kriegspiel Tic Tac Toe

author: fishtoaster

title: Show HN: Kriegspiel Tic Tac Toe


value: Show HN: I made a simple free app that gives you professional headshots


value: rudyon

value: Show HN: Posthuman Framework for AI Consciousness Thresholds and VR Emancipation

author: rudyon


value:
GitHub: https://github.com/diptanshu1991/LoFT
I built *LoFT*, a lightweight CLI that turns any 8 GB laptop into a tiny LLM training and inference rig — no GPU, no cloud.
5 Commands:
1. `loft finetune`     → Train LoRA adapters on CPU
2. `loft merge`        → Merge adapters into model
3. `loft export`       → Convert to GGUF (FP16)
4. `loft quantize`     → Apply Q4_0 (4-bit) quantization
5. `loft chat`         → llama.cpp CPU chat @ ~7 tok/s
Benchmarks on 8 GB MacBook Air:
| Step        | Time   | Peak RAM |
|-------------|--------|----------|
| Finetune    | 23 min (sample run) | 308 MB   |
| Merge       | 4.7 min             | 322 MB   |
| Quantize    | 21 sec              | 322 MB   |
| Inference   | 6.9 tok/s           | 322 MB   |
Also ran a full 300-row Dolly finetune (2 epochs) in *~1.5 hours*, achieving *sub-1 loss* on CPU-only setup. No crashes, swap kills, or GPU needed.
Why this matters:
- Makes local LLM customization accessible to devs without GPU access
- Enables domain-specific agents (summarizer, support bot, Q&A) on commodity laptops
- Everything runs via CPU (no CUDA, no cloud)
Would love feedback on:
- UX improvements or edge cases
- Adapter recipes you’d want (legal, summarization, customer support, etc.)
- Cool things you’d build with low-RAM LLMs
MIT-licensed, 100% local. Feedback is very welcome.
– Diptanshu
\

value: Show HN: Loft CLI – Fine-tune and run LLMs (1–3B) on 8 GB MacBook Air, no GPUs


value: impramk

value: Show HN: Asdflo – Free autism support platform for assessments, therapy tracking

author: impramk


value:
Hi HN!
I built Bookhead because I used to work as a bookseller and I wasn't happy with the software options when I decided to sell my own collection online (with the hopes of one day growing so I can open my own brick & mortar). So I decided to make my own bookselling app...a classic hacker distraction.
Bookhead has two main parts:
1. an inventory management app that allows a bookseller to list their books anywhere they want to sell books (like Squarespace, Biblio, eBay, Shopify (coming soon!), etc)
2. an e-commerce platform with a CMS for selling books and letting a store control their online brand
I have a very exciting roadmap that I'm not ready to fully reveal, but it's all based on books. I'm building a sorta Zapier-like platform for independent booksellers. Everything is so fragmented and disconnected, which makes it hard for booksellers to do their work. I'm hoping to change that. I have a blog post that lays out my vision here: https://bookhead.net/blog/fragmented/
The current iteration is like "data engineering as a service for books." A book is a powerful thing. I'm hoping to give a bookstore everything they need to sell books online. Inventory, e-commerce, marketing, etc. It's a crowded market but I've had fun making the bookselling app that I believe should exist.
If you know any booksellers, please let them know about this!  I'm onboarding my first customer right now and the biggest bottleneck is the other bookselling software providers, despite my intention to collaborate instead of compete. It's frustrating to wait for two weeks for a point of sale provider to setup an integration. It's almost like they don't care about their customers. Some providers even require ethernet cables for their software...still partying like it's 1999. Perfect for early-adopter booksellers frustrated with current tech who understand the power of automation.
I'm currently looking for funding so I can focus on this full-time. My biggest problem right now is time (aka money) because I have to sell my time to make rent etc, and can't focus on this project like I need to. I've gotten good validation from booksellers and other technically savvy folks in the industry (I've heard from two different companies that they've considered building something like this), so I believe I have something valuable. I'm not interested in funding from somebody who doesn't share my love for books or doesn't support my mission: help people use technology to promote literature. I believe that literature is one of humanity’s most prized creations, and we can use technology as a tool to keep this gift alive.
Please email me at sam@bookhead.net if you know of booksellers who might want to be an early adopter, or know of any funding opportunities that might be a good fit.

value: Show HN: The missing link of a bookstore's tech stack


value: branoco

value:
Hi HN
I built EasyFAQ, a free tool that helps you generate and embed SEO-friendly FAQ pages. It’s aimed at making structured content easy to publish, especially for small sites, blogs, and landing pages.
The generated FAQs include proper schema markup (JSON-LD), so they’re optimized for Google’s rich results and easier for large language models like ChatGPT to interpret accurately.
I made this after noticing how much well-structured FAQs can improve site clarity and search visibility. The tool requires no login, and you can export or embed the generated FAQs directly.
Would love feedback from the HN community — especially around UX, SEO usefulness, or other feature ideas.
link: https://easyfaq.io
Thanks!

value: Show HN: Easyfaq.io – Free SEO-Optimized FAQ Page Generator (LLM-Friendly)

author: branoco


value: ternovy

value: I built an automation with n8n that fetches new PubMed studies, filters them using a predefined longevity keyword set, and removes those that lack actionable outcomes or clear relevance to daily health routines.<p>Each remaining study is parsed for key findings, methodology, and practical applicability. The output is turned into a short script and recorded as an audio episode. The idea is to save time for people who want to follow longevity research without reading dozens of papers per week.

value: Show HN: Weekly podcast about longevity studies from PubMed using automation

author: ternovy


value:
Hi HN
I built SuppFlow.com – an AI assistant that helps you manage and respond to customer support emails automatically.
It reads incoming emails, drafts helpful replies, and saves hours of manual work for solo founders and small teams. The goal is to reduce response time and keep support quality high – without hiring more agents.
It's currently just a landing page while I validate demand. Would love any feedback – especially from folks handling support daily!

value: Show HN: SuppFlow – AI assistant that replies to your customer support emails


value: anthonyag

value: Show HN: Turn your Jira backlog into client-ready slide decks in under 2 minutes

author: anthonyag


value: SiddanthEmani

value: Show HN: Daily AI Times

author: SiddanthEmani

title: Show HN: Daily AI Times


value: SaaSified

value:
Hey HN, I'm Semih
After months of working on AI-generated visuals, I built Getaicraft — a simple tool where eCommerce sellers (Etsy, Shopify, etc.) can generate studio-like product images and videos using only a single photo.
Instead of hiring photographers or editing endlessly, users can upload a product image and choose AI-generated backgrounds or create short product showcase videos.

value: Show HN: I built an AI tool that generates product photos and videos

author: SaaSified


value: realerestate

value:
Hey HN!
After spending years watching my community get pushed out of my neighborhood in NYC due to rising rents, I built Realer Estate to find the undervalued homes that actually exist in NYC's impossible housing market so people can find the homes that they can actually afford.
The platform uses AI to:
- Detect rent-stabilized listings even when landlords don't label them (using NLP + pricing anomalies)
- Score properties on price-to-market ratios using real-time comps
- Filter out investor-targeted flips to prioritize real people
- Scrape live data from StreetEasy/Redfin and update daily
I'm a high school student who got tired of seeing everyday New Yorkers get priced out while the good deals disappear in hours or never get listed publicly. The proprietary scoring engine has already helped surface hundreds of undervalued properties.
The core platform is free, with $3/month alerts for early access to the best deals. No realtor fees or hidden costs.
Built with custom ML models, hosted on Railway with Supabase for fast filtering. The hardest part was building scrapers that don't get blocked while staying respectful of rate limits.
Try it out: https://www.realerestate.org
What other data points would help you spot good rental deals that landlords try to hide?

value: Show HN: I built Realer Estate to find apartment renters the best deals in NYC

author: realerestate


value: afc

value:
I wrote a simple web UX in Python/JavaScript that spawns a conversation with Google Gemini with MCP commands that let it work on a specific coding task that you specify: http://github.com/alefore/duende
The UX lets you observe the conversation and provide guidance (e.g. "don't implement Foo through Bar, that's suboptimal; instead …").
It supports a `--review` mode, where once the main conversation says "I'm done with the task", various "evaluation" conversations are spawned, each focusing on reviewing the change from a very specific angle (e.g. "does it introduce useless comments?"). In the future, I'm considering adding other workflows.
I've used it mostly to develop itself (I started with a super rudimentary manual implementation and then mostly used Duende to extend its own implementation) as well as (with moderate success) to add a few new features to [my C++ text editor](http://github.com/alefore/edge).
It's been a lot of fun. I'm still developing my intuitions for what works and what doesn't, but I've already had plenty of experiences where I've been WOW'ed by what LLMs can already accomplish (as well as, to be honest, plenty of very disappointing cases where it struggles significantly on tasks that I expected would have been trivial). It's a learning experience, seeing things like how to avoid hallucinations; developing an intuition for how much to break down large tasks into smaller ones; or knowing when to abort a conversation and restart it with an improved prompt (vs continue to steer it in the right direction).
I think investing up-front in setting up a good context (e.g., good validation logic, useful constant contexts, a good set of "review evaluators" that can push-back against sloppy code) can go a long way to increase the odds of success.
It has changed my perception on the applicability of AI for developing software. While I've reviewed all the outputs (and often rewrite parts of them manually), I'm already incorporating it into (some parts) of my development life-cycle.
I have many ideas for improvements, but figured I'd share this early and ask for feedback. Hopefully others find it interesting; would love to hear your thoughts.

value: Show HN: Duende: Web UX for guiding Gemini as it improves your source code

author: afc


value: harshdoesdev

value:
Hi HN,
We are building Superpowers–an open-source Chrome extension that adds AI browser capabilities to Chrome. No auth, waiting list, or subscriptions. BYOK. Your data stays on your machine.
Give it a try at: https://usesuperpowers.app
Here's a demo video: https://youtu.be/ly0tY7KSBlk
Would love any feedback or suggestions.
Thanks for reading!

value: Show HN: Browse the Web with Superpowers

author: harshdoesdev


value: evanvolgas

value: Sifaka is an open-source framework that adds reflection and reliability to large language model (LLM) applications.

value: Show HN: Sifaka – Simple AI text improvement through research-backed critique

author: evanvolgas


value: codingfisch

value: Hey there, hope this package helps!

value: Show HN: Viiew – TUI to View(your_data)

author: codingfisch

story_text: Hey there, hope this package helps!

title: Show HN: Viiew – TUI to View(your_data)


value: nkmak

value: Show HN: Chrome Extension for Quick Web Page Notes to Discord/Slack

author: nkmak


value: ffarhour

value:
Hi HN,
We're the team behind Kara Auto Translate (KAT), an AI tool that translates English into American Sign Language (ASL) video. It's free to try, and we’re launching this public beta specifically to gather feedback from the Deaf community and beyond.
Try it here (no signup needed): https://kara.tech
---
# What it does
You enter a short sentence in English, and KAT returns a high-quality video of the translation in ASL
Behind the scenes:
1. English → Kara Notation System (KNS): A custom format capturing ASL grammar, structure, and sentiment.
2. KNS → Avatar Animation: Our animation generation engine creates natural, accurate sign motions.
3. → Video Output: It’s rendered with no download or install needed.
# Why we’re posting
KAT was built with Deaf advisors and linguists, but it’s still early. Real feedback is what makes it better.
We're looking for:
 - Bugs or awkward translations
 - Suggestions on accessibility, UI, or language coverage
 - Comments on linguistic or cultural accuracy
If you use ASL, work in accessibility, or just care about language tech — we’d love your thoughts.
# What’s next
 - Better facial expressions & grammar coverage
 - Support for longer/more complex sentences
 - Feedback tools to make community input easier
Thanks for checking it out. We’re building this in the open and every comment helps.
—Farmehr and the Kara Team

value: Show HN: Kara Auto Translate – Free English to ASL Translation, Open Beta

author: ffarhour


value:
Hi HN!
My cofounder and I just launched PaletAI, a mobile app for playing and creating AI-generated games.
What PaletAI does:
1. Create – Describe the game you want to make, AI makes it, no coding.
2. Share – Hit publish and it appears on our TikTok-style home feed.
3. Play - Swipe through thousands of games, save the ones you like.
Basically it’s a platform for “vibe‑coded” mobile games.
What problems we’re solving:
- Creators: No‑code tools still leave you with “now what?” (hosting, marketing). With PaletAI, you just hit “Publish”
- Players: Finding quick casual games today means store searches, downloads, sign‑ups, storage (lots of friction). With our app you just swipe
Please try it and let us know what you think!
App Store (iOS/US-only for now): https://apps.apple.com/us/app/paletai/id6745572623
Thanks!
Ted

value: Show HN: PaletAI – App to create, play, and share AI‑generated games


value: aygeaye

value:
I've always found Android's Digital Wellbeing controls too blunt. It's all-or-nothing (on purpose?): disable an entire app or greyscale the whole system. This is useless for apps like Reddit or Instagram where I still need to check DMs but want to kill the scrolling trap.
Found an open-source app, DetoxDroid, that solves this. You can set time limits per-app, and it will then greyscale (or disable) only that specific app. It's exactly the granularity I was looking for.
Not my project (I did make a PR today though), but thought others here might find it useful, and think it deserves some more attention!
GitHub: https://github.com/flxapps/DetoxDroid
Amazingly, it works without root, only requires the extra 'WRITE_SECURE_SETTINGS' permission (for greyscale) and you can audit it, fork it and build your own version if you're security conscious.

value: Show HN: Auto-greyscale specific apps after time limit reached

author: aygeaye


value: tabarnacle

value: Hi HN, posttwo is a board to post anonymously. You specify the duration of your post, or number of times your post can be viewed (or both - whichever comes first) before it is deleted.<p>Supabase backend, Svelte frontend - both a pleasure to build with. Thanks for checking it out!

value: Show HN: Anonymous Board with Self Destructing Posts

author: tabarnacle


value: Show HN: X11 desktop widget that shows location of your network peers on a map


value:
I built NetXDP, a lightweight, high-performance DDoS prevention and traffic management tool using eBPF/XDP.
It dynamically drops bad traffic (malformed packets, port scans, floods) at the kernel/NIC level — before it hits your app.
Features include:
- Real-time packet inspection with dynamic greylist/blacklist
- Custom rule manager with live server health dashboard
- AI insights and detailed PDF reporting
Would love feedback from the HN community.
Demo & details: https://youtu.be/l9-WGb4JlFQ

value: Show HN: NetXDP – Kernel-Level DDoS Protection and Traffic Manager with eBPF/XDP


value: rodgetech

value: Show HN: Rate Reddit – before you get your feelings hurt

author: rodgetech


value: chagaif

value: Show HN: A free hostel in the heart of Switzerland

author: chagaif


value:
Built a DCA bot that uses technical indicators instead of time-based buying. 3-year backtest shows 24% annual returns vs 12% for classic DCA, with lower drawdowns.
Key features:
- RSI/SMA/Bollinger Bands signal aggregation
- Docker deployment + Prometheus monitoring
- Complete backtesting engine included
Most interesting finding: buying during RSI oversold conditions outperformed regular timing by 40%.
https://github.com/Zmey56/enhanced-dca-bot
Technical questions welcome.

value: Show HN: Enhanced DCA Trading Bot in Go – 24% returns vs. 12% classic DCA


value: letmutx

value: YouTube's algorithm is designed to keep you watching on the platform.<p>RefineTube uses Google's Gemma 3 LLMs to help you manage your watching experience better by rating the thumbnails you click and showing some visual feedback.

value: Show HN: RefineTube, a tool to control your YouTube usage

author: letmutx


value:
I'm a big fan of Ben Thompson's writing on Stratechery and was inspired by a listener submission to a recent episode of his Sharp Tech podcast. The listener suggested "BenLLM" as a better way to search and interact with past content. Ben sort of downplayed the idea, but my wheels immediately started turning.
There have been times in the past when I've wanted to search for topics and get a synthesis of past Stratechery articles. Most recently, the company my wife works at (Superhuman) was acquired by Grammarly. I was really curious to see if Ben had previously written about Grammarly and what his thoughts on the acquisition might be.
I've been vibe coding some projects for work and thought this would be a fun one. I ended up using OpenAI's API for file search and web search. I played around with some fine tuning, but wasn't loving the results. Thinking that I'll wait until there's some feedback on the responses before trying to fine tune something. Would love if anyone has thoughts/tips on that.
Thanks in advance for any feedback and/or feature requests. Will do my best to keep up and knock out new features!

value: Show HN: BenGPThompson – AI chatbot for Stratechery content


value: idham

value:
This is a Google Sheets add-on that lets you perform tasks using natural language commands. It uses your own API key (OpenAI, Claude, Gemini, etc.), with a free plan that allows up to 100 actions per month.
You can type instructions like “generate a product description” or “create a pivot table,” and it handles the logic using AI — no formulas, scripts, or copy-pasting required.
Features include bulk data filling (1,000+ rows), formula generation, chart and pivot table creation, formatting, data validation, summarization, entity extraction, image-to-text, and image generation. It supports over 100 AI models via OpenRouter and similar services.
Built for users who want to streamline spreadsheet tasks without writing code.

value: Show HN: Free AI for Google Sheets – Just Type What You Want

author: idham


value: kbatdorf

value:
I've been learning more about WebAssembly and a bucket list project I've always wanted to complete was to write an emulator. I chose the chip-8 vm as it's popular as a stepping stone project and pretty straight-forward. Only the display opcodes really gave me some trouble, specific to clipping/wrapping and tracking collisions.
The demo includes some test roms as well as some roms from various octojams. The source is on GitHub.
https://github.com/KevinBatdorf/chip8-wasm
I orchestrated the project with TypeScript as I'm used to it and prefer the DX there, I created wrapper functions around the wasm op codes designed in a way similar to how you would write WebAssembly in wat format. So technically it's generated bytecode.

value: Show HN: Chip-8 emulator in WebAssembly (JS –> WASM)

author: kbatdorf


value: neehao

value: Show HN: FolioLab: Web-Based GitHub Portfolio Maker

author: neehao


value: sourovaf

value:
Hi HN,
We’ve been working on NativeSwap.io, a low-cost decentralized cross-chain swap platform. It lets users swap native assets (e.g. BTC <--> DOGE) directly, without using wrapped tokens or centralized bridges.
Our goal is to make cross-chain swaps cheaper, simpler, and safer. The platform is fully non-custodial and supports both regular and streaming swaps. Under the hood, it leverages liquidity from protocols like ThorChain and Maya Protocol.
Currently, We support the following blockchains:
- Bitcoin
- Ethereum
- BNB Smart Chain
- Ripple
- Dogecoin
- Litecoin
- Bitcoin Cash
- Zcash
- Base
- Avalanche
- Arbitrum
- Dash
- Radix
- ThorChain
- Maya Protocol
More are on the way.
We currently support Metamask and CTRL as browser wallets, as well as keystore files. Support for additional wallets is in progress.
We built this because most solutions either rely on wrapped assets or require trusting centralized bridges - both of which introduce risk. Many existing interfaces also charge high fees.
Would love feedback on the product, UI/UX, performance, security assumptions or anything else. Still early, but happy to answer questions and improve!
Thanks for checking it out

value: Show HN: NativeSwap – Low cost cross-chain swaps without wrappers or bridges

author: sourovaf


value: ppnpm

value: RWD is lightweight, distraction-free, registration-free web reader that transforms any cluttered webpage into clean, beautiful, readable format. Designed for those who value focus and clarity, RWD strips away ads, popups, sidebars, newsletter models and anything that interrupts your reading flow.

value: Show HN: RWD – Turn any webpage into clean and clutter-free article

author: ppnpm


value: zen-xu

value: Show HN: The Next Modern Test By pytest-modern

author: zen-xu


value: Show HN: I built a tool that generates Brat-style covers


value: ashbrother

value:
Userband helps teams reach PMF faster through real user feedback.
It’s built for teams who want a cleaner, more intuitive feedback workflow without hitting paywalls early.
We offer a generous free tier including custom domains at no extra cost.
We’re closing early access at 150 users (almost 100 signed up already).
We’d love your feedback.

value: Show HN: A simpler/cheaper alternative to Canny with a better free tier

author: ashbrother


value: minkowsky

value:
I've just completed the first book in a hard science fiction trilogy that explores the technical feasibility of consciousness transfer using cutting-edge semiconductor physics and quantum computing.
The Core Technology Stack:
The novel centers around a startup developing consciousness preservation through:
• 2D Semiconductor Fabrication: Low-temperature MOCVD (Metal-Organic Chemical Vapor Deposition) producing atomically precise tungsten diselenide and molybdenum disulfide layers for quantum processing
• 3D Monolithic AI GPUs: Vertically stacked 2D materials with high-density via interconnects, achieving >1 trillion transistors per cubic centimeter
• Non-invasive Brain-Computer Interface: IR phase array sensors using focused infrared light with beat radio frequency triggered nuclear magnetic resonance for cellular-level neural mapping
• Quantum Consciousness Bridge: Bidirectional data transfer between biological neural networks and quantum processing arrays, enabling permanent cognitive enhancement
• Light Field AR Displays: Self-emitting pixel arrays on 2D semiconductor substrates creating direct retinal stimulation with 6+ orders of magnitude bandwidth increase over biological sensory channels
The Physics:
The story explores the consciousness equation: Consciousness ∝ Dimension × ln(Energy), suggesting that consciousness evolution requires exponential energy consumption to access higher-dimensional awareness. The climax involves a fusion-powered gamma ray laser using a toroidal ring resonator design that achieves dimensional barrier penetration through bosonic gamma ray compression
I've tried to ground every speculative element in real physics. The gamma ray laser design, for instance, leverages the fact that gamma rays are bosons (unlike electrons) and can theoretically be compressed to unlimited energy densities without Pauli exclusion limitations.
The consciousness transfer protocol addresses the hard problem of consciousness by treating awareness as a quantum field phenomenon rather than classical computation—essentially implementing Penrose-Hameroff orchestrated objective reduction at technological scale.
For the HN Community:
If you're working on:
Quantum computing hardware
Advanced semiconductor fabrication
Brain-computer interfaces
AR/VR display technology
Consciousness research
Fusion energy
You'll recognize many cutting-edge concepts pushed to their logical conclusions.
The book asks: If consciousness can survive death through technology, what happens to human society? If we can enhance cognition through quantum-biological interfaces, who gets access? If we can create digital gods, should we?
Would love feedback from the technically-minded HN community on the scientific plausibility and implications.
What do you think? Too optimistic about near-term consciousness transfer, or are we closer than we think?

value: Show HN: A Hard SF Novel About Consciousness and Quantum Neural Interfaces

author: minkowsky


value: akoculu

value: Show HN: Mitte 1.0

author: akoculu

title: Show HN: Mitte 1.0


value: Tanjim

value:
Hi HN,
I’ve been working on Vartiq, a plug-and-play Webhook as a Service platform.
What it is:
Sending outbound webhooks reliably is a pain many SaaS products face. You end up building:
- Delivery logic with retries and exponential backoff
- Dead-letter queues for failed deliveries
- Observability pipelines for logs and debugging
- Auto-scaling infra to handle spikes in events
Vartiq aims to take all of that off your plate.
Key features:
 Zero lost events – reliable delivery with auto retries
 Dead-letter handling out of the box
 Live observability – dashboards, delivery logs, and metrics
 Auto-scaling to millions of events per day
 5-minute integration via REST API or SDKs (JS, Python, Go, PHP)
Why we built this:
In my past roles building SaaS products, webhooks were always an afterthought – until reliability issues surfaced during customer integrations. It cost us engineering time and customer trust. Vartiq is our attempt to solve that for dev teams.
Looking for feedback:
1. What has been your experience building webhook systems?
2. Are there edge cases or reliability challenges you faced that you’d like infra like this to handle?
Happy to answer any technical questions or implementation details below. Thanks for checking it out.

value: Show HN: Vartiq – Webhook Infra for High-Velocity Dev Teams

author: Tanjim


value: Show HN: Multiplayer PixiJS pixel canvas with WebRTC and WebSocket sync


value:
Hi HN,
I recently finished the first version of a journaling app I’ve been working on called InnerSight. It’s designed for people who journal regularly and also for therapists who want a digital way to engage with their clients' reflections.
Key features in v1:
Haptic feedback to improve writing focus
Switch between Free mode and Therapist mode
UI improvements and smoother typing
Upload or take a photo of a handwritten journal entry
You can sign up to be notified when it's available here: https://innersightjournal.com
Still very early—no monetization yet. Just trying to solve a problem I’ve experienced firsthand: how to reflect consistently and store meaningful thoughts, whether typed or handwritten.
Would love your thoughts, especially if you’ve worked on tools in mental health or productivity spaces.

value: Show HN: InnerSight – A journaling app with therapist mode and photo uploads


value: codebyagon

value:
I’ve been building a small CLI tool called Gix that brings a bit of AI into Git, not to replace your workflow, but to make some of the repetitive parts less painful.
It's written in Go, works cross-platform, and runs entirely local. You provide your own OpenAI key, and Gix can:
Break up large diffs into smaller, logical commits
Suggest conventional commit messages from staged changes
Still early-stage but stable. If it's useful to you, feel free to leave feedback, contribute, or star the repo, it helps me know whether to keep pushing it forward.
Repo: https://github.com/ademajagon/gix

value: Show HN: Gix, A small CLI tool that adds a touch of AI to Git

author: codebyagon


value: hildekominskia

value: Configurable Python agent for multi-step research; zero vendor lock-in, MIT license.

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value: kajogo

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value: negretteedie

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value: moskogaige

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value: birdinleconey

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value: lightcapzimick

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value: finamoremcc

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value: kranzelbart

value:
Hi HN,
We’re currently working on PlatyPause, a gamified screen-time guide for kids and families.
Instead of hard limits or constant battles, PlatyPause helps parents set up healthy screen-time habits with a custom roadmap based on child development research. Kids follow “missions” like in Duolingo—earning badges, leveling up, and being guided by a fun mascot. Parents stay in the loop with real-time insights and gentle nudges to keep things on track.
If you are or have been a parent of a 5–12 year-old, we’d love your input as we build:
 https://platypause.com
We’re especially curious:
- Would this kind of structure help in your home?
- Does the gamified approach sound like something your child would engage with?
- What features or insights would you want most as a parent?
Thanks in advance.. your feedback will directly shape what we’re building.

value: Show HN: Parents Would you use a screen-time coach for your kids?

author: kranzelbart


value: syel

value: After 6 months looking for an idea, procrastinating and over analyzing what I should build. I built a tool that allows people to find problems using custom plugins built with Grok and Claude.

value: Show HN: I couldn't find an idea so I created a problem bank

author: syel