Show HN: Wool Ball – Decentralizing AI with Distributed Browsers https://bit.ly/4gude2w

Show HN: Wool Ball – Decentralizing AI with Distributed Browsers Hi HN, I recently launched Wool Ball ( https://bit.ly/4fmjrg2 ), a project designed to test the concept of paying people to enable their devices to process AI tasks through their browsers. The idea revolves around “browser as a service” or “browser as a server,” leveraging idle browser resources to create a decentralized, scalable, and cost-effective way to run AI workloads. We’re still in the early stages, and I’d love to hear your feedback on the concept and the product we’re building. Overview: https://bit.ly/4iDiQcI What do you think of this approach to decentralizing AI? December 14, 2024 at 12:08AM

Show HN: Performant intracontinental public transport routing in Rust https://bit.ly/3ZsTW6Y

Show HN: Performant intracontinental public transport routing in Rust I made a public transport route planning program that's capable of planning journeys across Europe or North America! There's only one other FOSS project I know of (MOTIS/Transitous) that can do transit routing at this scale, and in the testing I've performed mine is about 50x faster. I've spent a few weeks on this project now and it's getting to the point where I can show it off, but the API responses need a lot of work before they're usable for any downstream application. Example query (Berlin to Barcelona): https://bit.ly/3ZE0bom... There are some bugs still. Notably, it's not capable of planning the return trip for this route, nor the reverse of the trip from Seattle to NYC that I gave in the blog post. Blog post: https://bit.ly/3ZzZdtw... Repo: https://bit.ly/3ZCgBh3 Side-note but in the past some have criticized my writing style and it's been a bit hurtful at times but if you have constructive feedback on the blog post I'd appreciate it. I'm trying to get better at writing. :) https://bit.ly/3ZCgBh3 December 14, 2024 at 01:00AM

Show HN: DataFuel.dev – Turn websites into LLM-ready data https://bit.ly/4gaPUr7

Show HN: DataFuel.dev – Turn websites into LLM-ready data Just launched DataFuel.dev on Product Hunt last Sunday, and I landed in the top 3! I built this API after working on an AI chatbot builder. Scraping can be a pain, but we need clean markdown data for fine-tuning or doing RAG with new LLM models. DataFuel API helps you transform websites into LLM-ready data. I've already got my first paying users. Would love your feedback to improve my product and my marketing! https://bit.ly/4iwiqoy December 13, 2024 at 04:43AM

Show HN: I designed an espresso machine and coffee grinder from scratch https://bit.ly/3VDAROp

Show HN: I designed an espresso machine and coffee grinder from scratch It was a lot of work as a solo project but I hope you guys think it’s cool. When I say “we” in the website it’s only in the most royal sense possible. I also did all the photo/videography. I started out designing a single machine for personal use, but like many things it sort of spiraled out of control from there. I felt like espresso machines were getting very large, plasticky, and app-integrated without actually improving the underlying technologies that make them work. The noisy vibratory pumps in particular are from 1977 and haven’t really changed since then. So I wanted to focus on making the most advanced internals I could and leaving everything else as minimalist as possible. The pump is, as far as I know, completely unique in terms of power density and price. Without spending several thousand dollars, it was difficult to find a machine with a gear pump, and adjustable pressure was also similarly expensive but this machine has those things and costs a normal amount to buy. You can also turn the pressure way down and make filter coffee. I also saw so many people (including myself) using a scale while making espresso, and even putting a cup below the group head to catch drips, entirely negating the drip tray, so I basically designed for that! The profile of the machine is much lighter on the eyes and doesn’t loom in the corner like my old espresso machine did. And for the grinder, basically everything on the market uses conical and flat burrs that have descended from spice grinders, and the same couple of standard sizes. Sometimes larger companies design their own burrs, but only within those existing shapes. There is sort of a rush to put larger and larger burrs into coffee grinders, which makes sense, but with cylindrical burrs, you can increase the cutting surface way more relative to the size of the grinder. When grinders get too big, maintaining alignment becomes mechanically cumbersome, but the cylindrical burr can be very well supported from the inside, and there is the added benefit of hiding the entire motor within the burr itself. The resulting grounds are just outright better than all the other grinders I have used, but obviously this is a matter of taste and my own personal bias. The biggest downside for the grinder is that it doesn’t work with starbucks style oily roasts, because the coffee expands so much while traveling down through the burrs and can sometimes clog up the teeth. It doesn’t hurt the grinder but it does require cleaning (which is tool-free!). Another downside for both machines is the fact that they run on DC power so it’s best if you have a spot in your kitchen to tuck away the power brick. I also made a kit that makes the gear pump a drop-in upgrade for other espresso machines, to reduce noise and add adjustable pressure. https://bit.ly/4fm0z0K The roughest part of this process were the moments midway through development where they weren’t working at all. When the grinder is just jamming itself instantly or the fourth factory in a row tells you the part you’re making is impossible or the pump is alternating between spraying water out the side and into your face and not pumping at all. And the default thought is “Of course it’s not working, if this was going to work someone else would have already made it like this”. The route you’ve taken is fundamentally different enough that there are no existing solutions to draw on. You’re basically feeling around in the dark for months on end, burning money, and then one day, every little cumulative change suddenly adds up to a tasty espresso. And it’s not perfect yet, but you at least can see the road ahead. Anyways, this is way more than I expected to write, thank you for reading! Tell me if you have any questions https://bit.ly/3OUgpF0 December 13, 2024 at 02:03AM

Show HN: AI-powered, open source LeetCode alternative https://bit.ly/3ZAnPlH

Show HN: AI-powered, open source LeetCode alternative https://bit.ly/4iywIov December 12, 2024 at 11:53PM

Show HN: Kubernetes Spec Explorer https://bit.ly/400fRUJ

Show HN: Kubernetes Spec Explorer I built an interactive explorer for Kubernetes resources spec A few things included: - Tree view with schema, type and description of all native resources - History changes since version X (properties added/removed/modified) - Examples of some resources that you can easily copy as a starting point - Supports all versions since X, including the newly released 1.32 - I also want to add support for popular CRD, but I’m not sure how I’ll do that yet, I’m open to suggestions! Everything is auto generated based on the OpenAPI spec, with some manual inputs for examples and external links. Hope you like it and if there’s anything else you think it could be useful just let me know. https://bit.ly/3ZFaV6i December 12, 2024 at 04:02PM

Show HN: A Starter Pack for AI Engineers with Free Credits https://bit.ly/3ZwqQ6E

Show HN: A Starter Pack for AI Engineers with Free Credits ElevenLabs just launched AI Engineering Pack, a starter-pack giving you free access to many of the leading AI companies in the world. $50+ in credits from ElevenLabs, Mistral, Perplexity, Supabase, PostHog, Intercom and many more. https://bit.ly/3BypuQM December 12, 2024 at 10:37AM

Show HN: Regex Night: regular-expression pretty printer and linter https://bit.ly/3Vxa5ag

Show HN: Regex Night: regular-expression pretty printer and linter https://bit.ly/3ZMJZ5A December 12, 2024 at 08:32AM

Show HN: I built a simple app to create PDF invoice https://bit.ly/4ixRtka

Show HN: I built a simple app to create PDF invoice Hey HN, I had to create many invoices recently, it was pretty annoying doing the same things over and over. So i created this small tool that work well to create invoice and save them as template for re-usage. the ui is very easy and simple. I hope this tool will be helpful to you as it it to me. ps: you can move around without account Dorian https://bit.ly/4faEkL9 December 11, 2024 at 02:04PM

Show HN: Powerdrill – Leverage LLMs to Simplify Data Analysis https://bit.ly/4iwsygV

Show HN: Powerdrill – Leverage LLMs to Simplify Data Analysis Powerdrill is an AI tool that enables users to chat with their data to get anything they want to know from their data. It's designed for individuals who need to work with data regularly but have limited data analysis skills. Users only need to input their questions. Then Powerdrill understands user queries, generates Python or SQL code, executes it, and provides answers with valuable insights and visualized data. Powerdrill supports various types of data, including PDFs, Word documents, Excel sheets, TSV files, and databases. It also offers data agents that save users time on repetitive tasks, such as generating reports and presentations with a single click. https://bit.ly/3ZnuJuE December 11, 2024 at 07:59AM

Show HN: Kiln - Interactive LLM fine-tuning, dataset collab & synthetic data gen https://bit.ly/3ZxDNgE

Show HN: Kiln - Interactive LLM fine-tuning, dataset collab & synthetic data gen Hi HN! Excited to share a project I’ve been working on called Kiln AI! It solves what I’ve always found to be the hardest part of building AI products: products simply don’t have datasets, and datasets can’t keep up with product evolution. Product goals evolve, are hard to define, and new bugs emerge all the time. Kiln helps you build ML models for your product, from a collaborative dataset. For a bit of context: I’ve been building consumer AI products for a decade at Apple, my own startup, and MSFT. At its core Kiln is 3 things (so far): - Really great collaboration: Kiln datasets are designed to be shared/versioned in Git. We make it easy for the full team (PM/QA/subject-experts) to contribute directly, via super intuitive apps. With Kiln, when anyone on the team adds bugs/evals/goals, they go right into the dataset to be picked up in the next build. - Rapid fine-tuning: dispatch fine-tuning jobs for a range of top models (Llama 3.2, Mixtral, GPT 4o/4o-mini). It’s fine tuning in just a few clicks. - Synthetic data generation: our interactive data gen helps create large enough datasets for fine-tuning and evals. Build an initial training dataset, or use it to build out enough examples of a bug for the model fix it. It uses large models and heavy prompts (COT, multi-shot), which allows you to fine-tune smaller and faster models. The link here is to the new fine-tuning feature which just launched today. The demo shows starting a project from scratch, defining a task, generating synthetic training data, fine-tuning 9 models, and deploying them. It’s all very easy: 18 mins of active work, all in an intuitive UI. You can download the apps and follow the same process for your own product goals. I’d love to chat with folks building AI products, and offer any help I can (tools and/or guidance). Fire me a message at steve@getkiln.ai if interested. You can download our apps for Mac, Windows or Linux, or `pip install kiln_ai` for the library. Github with docs, downloads, and guides: https://bit.ly/49v7gfM https://bit.ly/49sU62N December 11, 2024 at 01:24AM

Show HN: Program a robot to solve a maze on a CPU emulator https://bit.ly/4isg4Hg

Show HN: Program a robot to solve a maze on a CPU emulator A little game I made to show off an old project. The functionality of the CPU is derived entirely from simulated logic gates. All the operations and control flow are based on the underlying properties of the logic gates, and changing their operation leads to corresponding changes in function. The original game code is all python and it runs in the browser using wasm/pyodide. Not very mobile friendly https://bit.ly/3Bq7ND4 December 8, 2024 at 06:53PM

Show HN: Combine GIF memes and face swaps for endless fun https://bit.ly/4iwkQn1

Show HN: Combine GIF memes and face swaps for endless fun https://bit.ly/3VvYBEa December 10, 2024 at 03:28AM

Show HN: TypeQuery – SQL query builder library built with TypeScript https://bit.ly/49wYOwh

Show HN: TypeQuery – SQL query builder library built with TypeScript Description: I’ve recently built a TypeScript SQL query builder library called TypeQuery and I’m looking for feedback from the community. TypeQuery is designed to help TypeScript developers construct SQL queries in a type-safe and intuitive way, with support for common SQL operations like SELECT, INSERT, UPDATE, and DELETEI’ve recently built a TypeScript SQL query builder library called TypeQuery and I’m looking for feedback from the community. TypeQuery is designed to help TypeScript developers construct SQL queries in a type-safe and intuitive way, with support for common SQL operations like SELECT, INSERT, UPDATE, and DELETE. Key Features of TypeQuery: - Type-safe SQL Queries: Build SQL queries with TypeScript’s powerful type system. - Supports Common SQL Operations: SELECT, INSERT, UPDATE, and DELETE. - Dynamic WHERE Clauses: Easily create complex WHERE clauses with a Django-like approach. - SQL Parameterization: Avoid SQL injection risks with parameterized queries. - Works with Multiple Databases: Compatible with MySQL, PostgreSQL, and SQLite. I would love to hear your thoughts on: - Usability: Does the API feel intuitive to use? Are there any features you think could make it easier to work with? - Performance: How does the performance compare to other query builders or raw SQL? - Missing Features: What do you feel might be missing in this library? Are there any features you'd expect from a SQL query builder? - General Opinion: Would you find a library like this useful for your projects? You can check it out on GitHub: https://bit.ly/49xd4Fl . If you like this project, please give it a to show your support and help others find it! Looking forward to hearing your thoughts, suggestions, and feedback! https://bit.ly/49xd4Fl December 9, 2024 at 08:21PM

Show HN: Downloadable AI Musical Instruments https://bit.ly/3ZJxB6h

Show HN: Downloadable AI Musical Instruments Generate soundfonts from text descriptions using latent flow matching. You can then download the complete SFZ soundfont package to use the instrument locally. https://bit.ly/49qQhLD December 10, 2024 at 01:50AM

Show HN: Travo – A Travel Guide That Reveals Stories Behind Every Place https://bit.ly/4fqSvfr

Show HN: Travo – A Travel Guide That Reveals Stories Behind Every Place https://bit.ly/3D7frCR December 9, 2024 at 09:29PM

Show HN: A Security-First Web Server in C with XSS, SQL Injection Protection https://bit.ly/3D7VY52

Show HN: A Security-First Web Server in C with XSS, SQL Injection Protection I built a high-performance web server in C that prioritizes security from the ground up. Key features: - XSS protection and SQL injection prevention built into the core - Rate limiting with IP tracking and automatic blocking - Comprehensive security headers (CSP, HSTS, CORS) - Multi-threaded architecture with connection pooling - Zero-copy file serving for performance - 100% test coverage with integration tests - Pure C99, no external dependencies beyond POSIX The goal was to create a web server that's secure by default and easy to audit (under 2000 lines of C). All security features are enabled out of the box with sensible defaults. GitHub: https://bit.ly/49sImx8 I am looking for feedback, especially on the security implementation and test coverage. The code is MIT-licensed. https://bit.ly/49sImx8 December 8, 2024 at 11:47PM

Show HN: Cut the crap – remove the AI bullshit from websites https://bit.ly/4isYmmO

Show HN: Cut the crap – remove the AI bullshit from websites I’ve spent a lot of time reading articles that promise a lot but never give me what I’m looking for. They’re full of clickbait titles, scary claims, and pointless filler. It’s frustrating, and it’s a waste of my time. So I made a tool. You give it a URL, and it tries to cut through all that noise. It gives you a shorter version of the content without all the nonsense. I built this because I’m tired of falling for the same tricks. I just want the facts, not a bunch of filler. What do you think? I’m also thinking of making a Chrome extension that does something similar—like a reader mode, but one that actually removes the crap that gets in the way of real information. Feedback welcome. https://bit.ly/4go7Lum December 8, 2024 at 11:59AM

Show HN: Run10K Trainer – Personalized Training Running Plans for Your 10K Race https://bit.ly/4irVMh1

Show HN: Run10K Trainer – Personalized Training Running Plans for Your 10K Race Hi HN! I’m a professional runner and programmer, and I built *Run10K Trainer*, the app I wish I had when I started training. It’s a web and mobile app that generates personalized plans for 10K races, tailored to your schedule, experience level, and race date. After months of development, I’d love your feedback to help make it even better for runners everywhere. Does this sound like something you’d use? https://bit.ly/4iplUZQ December 8, 2024 at 09:35AM

Show HN: I built an HTML5 RTL-SDR application https://bit.ly/3D39t65

Show HN: I built an HTML5 RTL-SDR application There are lots of RTL-SDR applications, but you have to install them. I used the HTML5 USB API that exists in Chrome (did you know about it?) to build one that you can run straight from your browser, on your computer or your Android phone. https://bit.ly/3BreVio December 7, 2024 at 11:36PM