Show HN: Torii – a framework agnostic authentication library for Rust https://ift.tt/yuzYpBN

Show HN: Torii – a framework agnostic authentication library for Rust https://ift.tt/sDGtbxi March 1, 2025 at 04:46AM

Show HN: Find out if you qualify for an O-1 visa https://ift.tt/fD8Mi7W

Show HN: Find out if you qualify for an O-1 visa https://o1pathways.com/ March 1, 2025 at 03:49AM

Show HN: Betting game puzzle (Hamming neighbor sum in linear time) https://ift.tt/6j54Yqo

Show HN: Betting game puzzle (Hamming neighbor sum in linear time) In Spain, there's a betting game called La Quiniela: https://ift.tt/a8cYVeG Players predict the outcome of 14 football matches (home win, draw, away win). You win money if you get at least 10 correct, and the prize amount depends on the number of winners. Since all bets are public, the number of winners and the corresponding payouts can be estimated for each of the 3^14 possible outcomes. We can also estimate their probabilities using bookmaker odds, allowing us to compute the expected value for each prediction. As a side project, I wanted to analyze this, but ran into a computational bottleneck: to evaluate a prediction, I had to sum the values of all its Hamming neighbors up to distance 4. That’s nearly 20,000 neighbors per prediction (1+28+364+2912+16016=19321): S_naive = sum from k=0 to r of [(d! / ((d-k)! * k!)) * (q-1)^k] (d=14, q=3, r=4) This took days to run in my first implementation. Optimizing and doing it with matrices brought it down to 20 minutes—still too slow (im running it in GAS with 6 minutes limit). For a while, I used a heuristic: start from a random prediction, check its 28 nearest neighbors, move to the highest-value one, and repeat until no improvement is possible within distance 3. It worked surprisingly well. But I kept thinking about how to solve the problem properly. Eventually, I realized that partial sums could be accumulated efficiently by exploiting overlaps: if two predictions A and B share neighbors, their shared neighbors can be computed once and reused. This is achieved through a basic transformation that I implemented using reshape, roll, and flatten (it is probably not the most efficient implementation but it is the clearest), which realigns the matrix by applying an offset in dimension i. This transformation has two key properties that enable reducing the number of summations from 19,321 to just 101: - T(T(space, d1), d2) = T(T(space, d2), d1) - T(space1, d) + T(space2, d) = T(space1+space2, d) Number of sums would be the result of this expression: S_PSA = 1 + (d - (r-1)/2) * r * (q-1) I've generalized the algorithm for any number of dimensions, elements per dimension, and summation radius. The implementation is in pure NumPy. I have uploaded the code to colab, github and an explanation in my blog. Apparently, this falls under Hamming neighbor summation, but I haven't found similar approaches elsewhere (maybe I'm searching poorly). If you know or you've worked on something similar, I'd love to hear your thoughts! colab: https://ift.tt/dgERfJk... github: https://ift.tt/KmPn6Fu blog: https://ift.tt/m2Qpy4l... March 1, 2025 at 02:03AM

Show HN: News-briefing-generator – Local LLM-powered news digest https://ift.tt/vDkcW3a

Show HN: News-briefing-generator – Local LLM-powered news digest Hey HN, I created a tool to generate personalized news briefings from RSS/Atom feeds using local LLMs through Ollama. It currently works in two modes: fully automatic or with an interactive review where you can select which "main topics of the day" to include in your briefing. The result is a HTML document with summaries for each topic. https://ift.tt/fGNarAU February 28, 2025 at 10:45PM

Show HN: Superglue – open source API connector that writes its own code https://ift.tt/EcqltQn

Show HN: Superglue – open source API connector that writes its own code Hi HN, we’re Stefan and Adina, and we’re building superglue ( https://superglue.cloud ). superglue allows you to connect to any API/data source and get the data you want in the format you need. It’s an open-source proxy server which sits between you and your target APIs. Thus, you can easily deploy it into your own infra. If you’re spending a lot of time writing code connecting to weird APIs, fumbling with custom fields in foreign language ERPs, mapping JSONs, extracting data from compressed CSVs sitting on FTP servers, and making sure your integrations don’t break when something unexpected comes through, superglue might be for you. Here's how it works: You define your desired data schema and provide basic instructions about an API endpoint (like "get all issues from Jira"). superglue then does the following: - Automatically generates the API configuration by analyzing API docs. - Handles pagination, authentication, and error retries. - Transforms response data into the exact schema you want using JSONata expressions. - Validates that all data coming through follows that schema, and fixes transformations when they break. We built this after noticing how much of our team's time was spent building and maintaining data integration code. Our approach is a bit different to other solutions out there because we (1) use LLMs to generate mapping code, so you can basically build your own universal API with the exact fields that you need, and (2) validate that what you get is what you’re supposed to get, with the ability to “self-heal” if anything goes wrong. You can run superglue yourself ( https://ift.tt/uRPVbBt - license is GPL), or you can use our hosted version ( https://ift.tt/NgalGq2 ) and our TS SDK (npm i @superglue/client). Here’s a quick demo: https://www.youtube.com/watch?v=A1gv6P-fas4 You can also try out Jira and Shopify demos on our website ( https://superglue.cloud ) Excited to share superglue with everyone here—it's early so you'll probably find bugs, but we'd love to get your thoughts and see if others find this approach useful! https://ift.tt/uRPVbBt February 27, 2025 at 10:50PM

Show HN: Generate a wiki for your research topic, sourcing from the web https://ift.tt/Ge23iEy

Show HN: Generate a wiki for your research topic, sourcing from the web I had an idea a few weeks ago that deep research might be better off returning a wiki than a research report. So I built this. It’s a Python package, and you can programmatically edit, add, delete, etc. There’s a built-in interface, but it’s bare-bones. Anyone who wants to create a wrapper – hosted or not – can do so; it’s MIT licensed. https://ift.tt/32ozkNS February 27, 2025 at 12:59AM

Show HN: Instantly Translate Manga – TranslateManga https://ift.tt/yINobp8

Show HN: Instantly Translate Manga – TranslateManga Since I was young, I've loved anime, and over the years, manga has brought me joy, given me courage, and sparked excitement in my heart. However, as I read more, I realized that many of these manga weren't translated at all. I also came across some AI-based translation tools, but the results often fell short. So, I decided to create a tool that allows manga fans to read and enjoy their favorite manga, no matter the language or whether a translation team is available. This product has just been launched, and there are certainly areas that can be improved. However, with time, I'm confident it will only get better. You're welcome to try it out and share your valuable feedback! https://ift.tt/9X1CgiD February 24, 2025 at 08:09PM

Show HN: I built a PR listener and ruleset to detect malicious code in CI/CD https://ift.tt/rE95ljW

Show HN: I built a PR listener and ruleset to detect malicious code in CI/CD I built a GitHub app that detects it in pull requests, notifies or blocks them. Alongside it, I published a Semgrep ruleset for any stage of the CI/CD. I started this after getting frustrated by all the FUD around malicious code - lots of noise, little effort to solve it. Having said that, it's still a major attack vector - a stored RCE, with the codebase itself as the sink. Feedback is appreciated. The app, PRevent - https://ift.tt/F0RuKdW The ruleset: https://ift.tt/FNeLqS2 The research: https://ift.tt/z7YJerQ... https://ift.tt/F0RuKdW February 26, 2025 at 12:52AM

Show HN: Minimalist Travel Planner https://ift.tt/3jaqX9M

Show HN: Minimalist Travel Planner I was tired of finding repetitive travel plans on ad-filled travel sites, so I made a minimal editable trip plan maker. https://triptip.cat/ February 25, 2025 at 08:21PM

Show HN: URnetwork – Decentralized VPN Replacement https://ift.tt/szgwGto

Show HN: URnetwork – Decentralized VPN Replacement I spent the last 1.5 years working out how to scale a decentralized network safely and efficiently to millions of users. URnetwork is a market for network capacity, where each connection races to find the best provider on the network. This means users have many IP addresses that continually cycle, and users can directly connect to each other, which is great for privacy when some minimum conditions are met. Because the world already has a bunch of hardware and network capacity that can be used, the challenges were to design a protocol to make it safe to use and participate, fast and reliable, and to set up the right encryption bar for safe peer to peer data. You can try the apps on iOS and Android and see if they work better than your current VPN. The source is here https://ift.tt/az2s4Wn About me, I was an early engineer at Palantir, former YC founder, and spent the last decade building global infrastructure. I'm interested in truly free, transparent, private, available, and secure networks that reward people to contribute what they have. Ease of use and safety to participate has been a big focus for me. https://ur.io/ February 25, 2025 at 02:47AM

Show HN: Electro – A hyper-fast Windows image viewer with a built-in terminal https://ift.tt/4iBF91n

Show HN: Electro – A hyper-fast Windows image viewer with a built-in terminal This is my first major OSS release! I was always so frustrated by how slow image viewers were on Windows so I built one from the ground up with Rust & Tauri v2.0! Electro also has a very unique feature: a built-in terminal. I was always mesmerised by merging CLI tools with GUI based systems and this is my first go at it! I have big plans on expanding the terminal functionality with built-in image editing commands, command chaining, file handling etc. https://ift.tt/lx3oR8Q February 25, 2025 at 02:20AM

Show HN: Toutui: A TUI Audiobookshelf Client for Linux (Written in Rust) https://ift.tt/gu0J13B

Show HN: Toutui: A TUI Audiobookshelf Client for Linux (Written in Rust) These last weeks, I really enjoyed building a TUI audiobookshelf client for Linux (written in Rust and I used Ratatui for TUI). I'm happy to share with you the first version. With this app, you can listen to your audiobooks and podcasts (from an audiobookshelf server) while keeping your progress and stats in sync. All of this from your terminal :) Check out the GitHub page for a detailed presentation. Enjoy! https://ift.tt/OuyahIt February 24, 2025 at 11:37PM

Show HN: Cardog – AI interface for vehicle ownership https://ift.tt/AFhStru

Show HN: Cardog – AI interface for vehicle ownership Hi HN! I wanted to share something I've been working on after an interesting pivot. Last year I built a vehicle search tool that ran into legal issues with major listing sites. That experience led me to tackle a different problem - making the entire car ownership experience more accessible and data-driven. Ended up building an AI interface that helps research any vehicle, access documentation, and manage ownership - think having a car expert, market analyst, and personal assistant rolled into one. Core features: - Natural language interface to research any vehicle, parse manuals, and search relevant web/YouTube content (think perplexity for cars) - Monitor market values and listings across North America - Track maintenance, service records, registration dates for your garage - Store ownership documents, recall info, service bulletins Live demo: https://cardog.ai | Example: Ask about reliability ratings for the latest SUVs or "What should I look for when buying a used Model 3?" Would love to hear what aspects of car ownership you find most frustrating. https://cardog.ai February 24, 2025 at 01:55AM

Show HN: OmniTools–A Self-Hosted Suite of Open Source Tools for Everyday Tasks https://ift.tt/f0MOZDT

Show HN: OmniTools–A Self-Hosted Suite of Open Source Tools for Everyday Tasks It’s 2025, and somehow, there’s still no good self-hosted alternative to sites like ILoveIMG.com or OnlineTools.com... until now. OmniTools is here to fill that gap! It’s a free web-based, open-source self-hosted platform that brings together all your favorite online tools in one place—fully self-hosted and ad-free. Project: https://ift.tt/g2dLGxh Why Omni Tools? Completely FREE & Open-Source – No hidden fees, ever. Self-Hosted – Keep control of your data, no tracking, no nonsense. All Your Favorite Tools in One Place – Image, coding, file utilities and more! Beta Version – Just launched, and I need your feedback to make it even better! https://ift.tt/g2dLGxh February 23, 2025 at 08:58PM

Show HN: Mapping historical markers around the world https://ift.tt/E97FP8u

Show HN: Mapping historical markers around the world I saw the 'map of torii' post yesterday and thought y'all might like to see the small app I've been working on that uses HMDB.org data to map historical markers around the world. HMDB has been aggregating markers for over 15 years and back when I was living out of my van and traveling full-time I wanted to get notified whenever I passed one, so I built a mobile app around that. I think historical markers are underrated - as a physical marker they make history tangible. Rather than reading about history from a classroom, you get the opportunity to see and engage with it at the source. If you're already nearby, they are often worth the stop to learn more. Since releasing the iOS app a few years ago, I've been able to enhance the markers with summaries (which makes reading the content a lot more palatable), and converting them to audio, so you can listen to markers when you're driving. Yesterday I officially released the android app, with the same features as the iOS app. https://ift.tt/rLVKfN1 February 23, 2025 at 10:28PM

Show HN: Easily make expandable / foldable diagrams https://ift.tt/hPLywY7

Show HN: Easily make expandable / foldable diagrams https://ift.tt/AZU0Y7E February 23, 2025 at 01:53AM

Show HN: Course on Building Full-Stack Chrome Extensions with React and Node.js https://ift.tt/dAoqMFK

Show HN: Course on Building Full-Stack Chrome Extensions with React and Node.js I've been working in the extension space on a variety of products for a number of years now and decided to put together a course on how everything I wish I knew when I first started out. It goes through building an entire "product", meaning UI, API, and extension, all communicating with each other. It covers a lot of topics I get asked about often as well such as extension-level authentication, injecting React apps into web pages via content scripts, and a bunch more. https://ift.tt/Gk9fbIL February 22, 2025 at 11:28PM

Show HN: Willpayforthis.com – Ideas people will pay for https://ift.tt/pdJ8ofW

Show HN: Willpayforthis.com – Ideas people will pay for Ah, there's a dumb easy hack to figure out what ideas people will pay for. Search "I'd pay for" on Twitter and you'll find hundreds of posts from people talking about pain points and products they'd pay for to solve them. Do this enough and you realize you have to filter through a lot of slop. slop. slop. I created willpayforthis.com to accumulate high signal, high quality posts and save you some time. I love thoughts from the community on how I can make it better, save you time, and help you work on the best ideas. https://ift.tt/CLhluGk February 23, 2025 at 12:21AM

Show HN: TikTok for Beautiful Words https://ift.tt/BUsw8pi

Show HN: TikTok for Beautiful Words https://ift.tt/3lI1NGr February 22, 2025 at 03:11AM

Show HN: Rhiza – easily create shortcuts and add entries to PATH https://ift.tt/d5BUy7N

Show HN: Rhiza – easily create shortcuts and add entries to PATH Rhiza is a Windows-only tool that makes any app easily launchable from both the command line and the Windows Start Menu. It works by creating shortcuts and adding entries to the PATH. Key Features: * Crawl ~ common directories to detect apps and games automatically * Add ~ any app by searching for it across the entire file system * Path ~ search for an executable and add its directory into PATH Rhiza simplifies app launching / calling tools by finding and managing them for you. https://ift.tt/5XysWDM February 22, 2025 at 01:03AM

Show HN: Tradofire, a great way for beginners to learn crypto trading risk-free https://ift.tt/5EnNlzA

Show HN: Tradofire, a great way for beginners to learn crypto trading risk-free Hey HN, I have been building this for the last couple years and probably spent way too much time. First I wanted to make an automated trading strategy based on crypto coins breaking support and resistance lines but after writing a whole system and backtesting infra I realized it doesnt work :( So here it is now as an app where you can learn to trade crypto based on these signals. Some key features are 1. Real-Time Market Analysis: See when coins break support/resistance levels or suddenly spike. 2. Paper Trading with Leverage: Test your trading strategies without risking real money. 3. Performance and Leaderboards: See your paper trading performance and compare with others. I dont know honestly if this will ever make any money but just sharing and hoping some folks like it. If you like it please tell me what else I can add. Cheers Sumeru PS: The app is iOS only for now (Android can come soon if there is demand) https://ift.tt/cn2pUoE February 22, 2025 at 01:23AM

Show HN: DSBG – A Static Site Generator That Fast-Tracks Your Digital Presence https://ift.tt/87FtHwV

Show HN: DSBG – A Static Site Generator That Fast-Tracks Your Digital Presence The ethos behind it is to automate your digital presence as much as possible, while retaining control over the created content. To that end, the following features are available: Easy installation; Support for Markdown & HTML source files; Automatic tag generation from paths ; built-in tag filtering; Client-side fuzzy search over all content; Automatic RSS feed generation; Watch mode with automatic rebuild for continuous feedback; 3 different themes, with the ability to add your own via custom CSS; Automatic share buttons for major social networks; Easy to extend with analytics, comments, and more. https://ift.tt/u8qKPkT February 22, 2025 at 12:09AM

Show HN: Agriquery – helping people sell their food https://ift.tt/5YmGLae

Show HN: Agriquery – helping people sell their food We built Agriquery, a simple online marketplace designed to help farmers and small producers sell their produce directly to consumers (and businesses). Think Etsy, but for food. https://agriquery.com February 18, 2025 at 07:07PM

Show HN: I made a free compliance audit tool for websites to avoid fines https://ift.tt/0OmvS5Z

Show HN: I made a free compliance audit tool for websites to avoid fines Hey HN. I'm Zack, and spent a week building this side project called PACT because I couldn't find anything like it out there for free. Of course, I made it free and no signup required. It audits your website to surface any privacy or compliance issues. I used a pre-made data scraper to surface the compliance issues, then used Claude to present the results and offer suggestions to fix. LMK what you think. Cheers! https://ai-pact.com/ February 21, 2025 at 02:12AM

Show HN: Benchmarking VLMs vs. Traditional OCR https://ift.tt/86aySXV

Show HN: Benchmarking VLMs vs. Traditional OCR Vision models have been gaining popularity as a replacement for traditional OCR. Especially with Gemini 2.0 becoming cost competitive with the cloud platforms. We've been continuously evaluating different models since we released the Zerox package last year ( https://ift.tt/Te7I3JL ). And we wanted to put some numbers behind it. So we’re open sourcing our internal OCR benchmark + evaluation datasets. Full writeup + data explorer here: https://ift.tt/aoti96q Github: https://ift.tt/ch54pE0 Huggingface: https://ift.tt/y1hzQZP Couple notes on the methodology: 1. We are using JSON accuracy as our primary metric. The end goal is to evaluate how well each OCR provider can prepare the data for LLM ingestion. 2. This methodology differs from a lot of OCR benchmarks, because it doesn't rely on text similarity. We believe text similarity measurements are heavily biased towards the exact layout of the ground truth text, and penalize correct OCR that has slight layout differences. 3. Every document goes Image => OCR => Predicted JSON. And we compare the predicted JSON against the annotated ground truth JSON. The VLMs are capable of Image => JSON directly, we are primarily trying to measure OCR accuracy here. Planning to release a separate report on direct JSON accuracy next week. This is a continuous work in progress! There are at least 10 additional providers we plan to add to the list. The next big roadmap items are: - Comparing OCR vs. direct extraction. Early results here show a slight accuracy improvement, but it’s highly variable on page length. - A multilingual comparison. Right now the evaluation data is english only. - A breakdown of the data by type (best model for handwriting, tables, charts, photos, etc.) https://ift.tt/aoti96q February 21, 2025 at 12:19AM

Show HN: WinCse – Integrating AWS S3 with Windows Explorer https://ift.tt/ZDo56cK

Show HN: WinCse – Integrating AWS S3 with Windows Explorer WinCse is an application that integrates AWS S3 buckets with Windows Explorer. Utilizing WinFsp and the AWS SDK, WinCse allows you to treat S3 buckets as part of your local file system, making file management simpler. The application is currently in development, with plans for additional features and improvements. https://ift.tt/HhieszW February 20, 2025 at 11:23PM

Show HN: Make your logo liquid metal (open source) https://ift.tt/IXaPNqo

Show HN: Make your logo liquid metal (open source) Good morning!! We thought the Apple liquid metal invite was so cool. How fun would it be if everyone could see their logo in liquid? So we made an app to let you make your logo in liquid. Just drag in your logo and see. To play with your logo: https://ift.tt/MuywQnV Repo: https://ift.tt/OFPwdR8 (We think you're gonna love it!) https://ift.tt/MuywQnV February 20, 2025 at 01:41AM

Show HN: A new fork of OpenDeepResearcher with DeepSeek R1 https://ift.tt/xGj0uFI

Show HN: A new fork of OpenDeepResearcher with DeepSeek R1 https://www.youtube.com/watch?v=aEOu9P4_2cU February 20, 2025 at 01:15AM

Show HN: Vakyume – a PDF2C++ engine that doesn't suck https://ift.tt/oZc1eSa

Show HN: Vakyume – a PDF2C++ engine that doesn't suck A geek's sucky Odyssey in AI's shadow through the realm of the metaprogramming hungry ghosts https://ift.tt/nurDy75 February 19, 2025 at 10:53AM

Show HN: Subtrace – Wireshark for Docker Containers https://ift.tt/Z8rSWtL

Show HN: Subtrace – Wireshark for Docker Containers Hey HN, we built Subtrace ( https://subtrace.dev ) to let you see all incoming and outgoing requests in your backend server—like Wireshark, but for Docker containers. It comes with a Chrome DevTools-like interface. Check out this video: https://www.youtube.com/watch?v=OsGa6ZwVxdA , and see our docs for examples: https://ift.tt/Lfw0G4t . Subtrace lets you see every request with full payload, headers, status code, and latency details. Tools like Sentry and OpenTelemetry often leave out these crucial details, making prod debugging slow and annoying. Most of the time, all I want to see are the headers and JSON payload of real backend requests, but it's impossible to do that in today's tools without excessive logging, which just makes everything slower and more annoying. Subtrace shows you every backend request flowing through your system. You can use simple filters to search for the requests you care about and inspect their details. Internally, Subtrace intercepts all network-related Linux syscalls using Seccomp BPF so that it can act as a proxy for all incoming and outgoing TCP connections. It then parses HTTP requests out of the proxied TCP stream and sends them to the browser over WebSocket. The Chrome DevTools Network tab is already ubiquitous for viewing HTTP requests in the frontend, so we repurposed it to work in the browser like any other app (we were surprised that it's just a bunch of TypeScript). Setup is just one command for any Linux program written in any language. You can use Subtrace by adding a `subtrace run` prefix to your backend server startup command. No signup required. Try for yourself: https://ift.tt/Lfw0G4t https://ift.tt/vOcyrIe February 19, 2025 at 04:59AM

Show HN: Streamer Emails – Quickly Find and Filter Twitch Streamers Emails https://ift.tt/XwCdOJs

Show HN: Streamer Emails – Quickly Find and Filter Twitch Streamers Emails https://ift.tt/RpZshgz February 19, 2025 at 03:33AM

A GPU-Accelerated Binary Vector Index https://ift.tt/hLjKVUA

A GPU-Accelerated Binary Vector Index https://ift.tt/l0rkA8C February 17, 2025 at 06:15AM

Show HN: AI Agents in Fraud Detection:Bridging the Gap Between ML and Reasoning https://ift.tt/3HhGAcy

Show HN: AI Agents in Fraud Detection:Bridging the Gap Between ML and Reasoning https://ift.tt/3W7mazD February 18, 2025 at 12:17AM

Show HN: Automate Expo QR Code Previews in GitHub PRs https://ift.tt/Akupi6V

Show HN: Automate Expo QR Code Previews in GitHub PRs Hey HN, Inspired by Vercel’s automated preview deployments, I built a GitHub Actions workflow that generates an Expo QR code per PR—so mobile previews are as easy as scanning a QR code. How it works: • Every PR triggers a GitHub Action • The action starts an Expo server • It posts a QR code in the PR comments for instant testing on mobile No more manually starting Expo. No more copying links. Just open a PR and scan the code. Full guide here: https://ift.tt/Isk0JDp Would love to get feedback—how would you improve this workflow? https://ift.tt/Isk0JDp February 17, 2025 at 10:03PM

Show HN: Kartoffels – Cellular Automata, Statistics, 32-bit RISC-V https://ift.tt/z2WuL5g

Show HN: Kartoffels – Cellular Automata, Statistics, 32-bit RISC-V https://ift.tt/hwHRxyL February 17, 2025 at 10:21PM

Show HN: B2B SaaS Go-to-Market Checklist https://ift.tt/uA1oL4c

Show HN: B2B SaaS Go-to-Market Checklist https://ift.tt/XMxSovW February 17, 2025 at 04:10AM

Show HN: Hackyournews.com v2 https://ift.tt/7q3Wnv8

Show HN: Hackyournews.com v2 A year and a half after I published https://ift.tt/sPFpvDd , I've rewritten it to be neater and added support for more news sources. HackYourNews.com v1 had a great response on HN [1] and consistently sees ~2k weekly unique visitors. There were many long-standing requests that I wanted to fulfill (thanks for your patience!): a proper dark mode, correct rendering on mobile devices, and more cogent summaries. This rewrite is the result. gpt-4o-mini reduces the cost of summarization to an absurd degree, so it's now sustainable to keep this free service going! Someday, I hope to use the Batch API [2] to drive down costs even further. Enjoy. [1] https://ift.tt/V7F0GJs [2] https://ift.tt/IpdbPyz February 16, 2025 at 06:16AM

Show HN: I developed a no code web scraper for effortless data extraction https://ift.tt/zPgxKTi

Show HN: I developed a no code web scraper for effortless data extraction https://ift.tt/Eyf8e75 February 16, 2025 at 11:34PM

Show HN: The news in the last 30, 14, 7, 3, or 1 days https://ift.tt/QVSE7hU

Show HN: The news in the last 30, 14, 7, 3, or 1 days I made this for when I come back from vacation and want to catch up on news. It's a bit of a simplistic LLM transformation on headlines and URLs that I store from RSS feeds. So it bugs out sometimes. But I think it might be useful to me. You can check out some of the prompts in the "debug" links. What do you think? https://ift.tt/nr4CTiZ February 16, 2025 at 11:24AM

Show HN: Tech Brief – AI enhanced news reading https://ift.tt/b5ta6Xh

Show HN: Tech Brief – AI enhanced news reading I built this because I wanted it, and I now use it every day. It's a simple news site that gathers and summarises tech content and discussions, across multiple sources, providing tight, easily digestable summaries along with some simple tooling to support reading workflows. 1) Hourly updated homepage with the latest tech news across the web. 2) A simple < 3 min "News of the Hour", every hour, audio clip. 3) Summaries of HackerNews and Product Hunt, incl. comments and sentiment (more to come). 3) GitHub login with AI summaries of any releases made to your starred repos. 4) Read/Unread article status. 5) Simple swipe interface and keyboard support. 6) Simple Bookmark/Readling List, and Favourite tags (logged in) No Tracking. Fast. Mobile Friendly. Easy sharing. https://tech.brief.page/ February 16, 2025 at 05:58AM

Show HN: Blunderchess.net – blunder for your opponent every five moves https://ift.tt/rF6J3Xl

Show HN: Blunderchess.net – blunder for your opponent every five moves blunderchess.net is an open source, peer-to-peer chess app where every five moves, players each get to make one blunder-move for their opponent https://ift.tt/bIfdH8B February 16, 2025 at 05:52AM

Show HN: Edit Any Record on ATProto with History https://ift.tt/fKcnWm6

Show HN: Edit Any Record on ATProto with History https://ift.tt/jFey1VX February 16, 2025 at 02:24AM

Show HN: I got frustrated with CRMs, so I'm building my own for startups https://ift.tt/l8gZCJL

Show HN: I got frustrated with CRMs, so I'm building my own for startups After trying a bunch of CRMs for my startup, I kept running into the same issues—overpriced plans that scale aggressively or bloated features that just slow me down. I wanted something simple, affordable, and actually built for startups, so I decided to build it myself: Leadchee.com. Fixed pricing, no nonsense. Curious—how do you all handle CRMs? Do you stick with the big players, go for niche tools, or build your own? Would love to hear your thoughts! https://leadchee.com February 14, 2025 at 09:25PM

Show HN: Live webcam metal pin toy simulation powered by WebGPU depth estimation https://ift.tt/cYrPpST

Show HN: Live webcam metal pin toy simulation powered by WebGPU depth estimation https://ift.tt/KIcrNLP February 14, 2025 at 11:33PM

Show HN: HackerVoice – An Experimental AI Podcast Covering Hacker News https://ift.tt/s8Rrmoc

Show HN: HackerVoice – An Experimental AI Podcast Covering Hacker News Hey HN: What it does: HackerVoice automatically generates a daily podcast summarizing the top five trending Hacker News topics using AI. How it works: Uses a combination of Gemini and GPT-4o to analyze and summarize trending topics. Leverages OpenAI’s text-to-speech (TTS) engine to generate natural-sounding narration. Runs on an automated schedule (cron job at 16:00 UTC daily). Episodes are available for listening at: https://ift.tt/DRY8gVU . https://ift.tt/DRY8gVU February 14, 2025 at 06:05AM

Show HN: Dockershrink – AI Assistant to reduce the size of Docker images https://ift.tt/KjuZpTa

Show HN: Dockershrink – AI Assistant to reduce the size of Docker images For the past few months, I've been hacking around a project I call Dockershrink. It automates a simple task: Take a Dockerfile and optimize its code with the goal of reducing the size of the final Docker image. People don't realize that we can apply some very basic techniques to reduce, for eg, a 2GB image down to just ~100MB: - Multistage builds with light-weight base image for final stage - Remove unused dependencies - Optimizations specific to the tech stack And I feel like I've already done this optimization for my personal projects and backend apps at my job(s) a couple of times. The project currently uses GPT-4o (open source so you can run it locally) and only works for Nodejs projects. There are a couple of reasons why I think dockershrink can be better than using just Vanilla LLM or Github Copilot/Cursor: - Image optimization can benefit from a lot of custom prompting, especially when you have insights about specific tech stacks. Describing techniques deeply in the prompt gave better results than simply asking the LLM to "optimize code for bloat reduction". - A RAG approach will be truly beneficial. I plan on giving dockershrink access to up-to-date documentations of Docker, Bash and all programming languages out there. Additionally, it can be given a few suitable chunks of code to enhance the context. - Analysing custom base images: most orgs have their customized base images. Adding context about these can further help Dockershrink make better decisions. Try it out - "brew install dockershrink" Happy to hear your thoughts! https://ift.tt/awZ2D4T February 14, 2025 at 04:15AM

Show HN: SQL Noir – Learn SQL by solving crimes https://ift.tt/dAXsnxO

Show HN: SQL Noir – Learn SQL by solving crimes I built SQL Noir, an interactive detective game that challenges you to solve mysteries using real SQL queries. It’s fully open source, designed to give you a practical and immersive way to learn SQL while engaging with a narrative-driven mystery. https://www.sqlnoir.com February 14, 2025 at 03:19AM

Show HN: Dev SSO IdP, a mock single sign-on provider as a development aide https://ift.tt/kwLBe6l

Show HN: Dev SSO IdP, a mock single sign-on provider as a development aide Hi HN! This project grew out of my want for the development of my web UIs to not get hung up on integration with OpenID Connect single sign-on. SSO was only available in our stage and prod environments. Getting this integration laid down and tested fast, without having to jury-rig something in stage, would've been huge. And so I decided to build a solution myself. Hence, Dev SSO IdP. The vision for it is to mock all the features of an OIDC SSO server that would be pertinent to the development of web apps. To try it out: 1) Create a file called `.production.env` and paste in it the following 2 lines to start with: DEVSSOIDP_PERCENT_ENCODED_REDIRECT_URIS=http%3A%2F%2Flocalhost%3A5173 DEVSSOIDP_CLIENT_IDS=my_cool_app 2a) (with Node) Clone the repo with `git clone https://ift.tt/MLWoj61 `, then overwrite the project's `.production.env` with yours, then in the project's folder run `npm install`, then `npm start` 2b) (with Docker) Run `docker run -p 3000:3000 --rm --env-file .production.env bmcase/devssoidp:1.0.0` You can then see it at (and have your app redirect to) http://localhost:3000/authorize?response_type=code&client_id... You can add or change environment variables in `.production.env` in the likely case that its defaults don't apply to you. The GitHub readme goes into more detail on all of this. They say "be flexible in what you accept and strict in what you output". But Dev SSO IdP is intentionally strict in what it accepts so that I could catch issues faster. It raises an alarm in dev so you don't later get one in prod. This version I am comfortable designating v1.0.0. It has all the features needed for the OIDC code flow. I'd appreciate any advice, and in particular am interested in: * Would this actually be useful in your projects? Is there anything else it would need? * Do you use the OIDC implicit flow? I've never had reason to, and I understand it's regarded as a bad practice. But I worry I may be in a bubble and so I want to know if there's in fact a lot of folks out there who use the implicit flow. Aside, I'm open to work, and would be interested in bringing my full stack skills to your team (or the team of someone you want to do a favor for), in the Austin TX area or remotely. I'm happy to hear from you by email (ben@benswords.com) or LinkedIn ( https://ift.tt/59hSsGF ). https://ift.tt/5f1JAzo February 14, 2025 at 01:53AM

Show HN: Built an app that summarizes CA bills into bite-sized recaps https://ift.tt/c3DfNLt

Show HN: Built an app that summarizes CA bills into bite-sized recaps https://ift.tt/lHTBk36 February 12, 2025 at 11:39PM

Show HN: Mkinf – an open-source library of hosted AI agents and tools https://ift.tt/96d17nC

Show HN: Mkinf – an open-source library of hosted AI agents and tools We are building an open-source library of hosted AI agents and tools that developers can integrate into their graph frameworks with a simple SDK or API call, speeding up development and deployment times. They can use them as-is, customize them for their specific use cases, and even contribute their own agents — unlocking monetization opportunities. https://hub.mkinf.io February 12, 2025 at 11:06PM

Show HN: Sort lines semantically using llm-sort https://ift.tt/Uc7lTtS

Show HN: Sort lines semantically using llm-sort This is a small plugin I made for Simon Willison's llm utility. You can do things like: cat names.txt | llm sort -q "Which one of these names is best for a pet seagull?" cat books.txt | llm sort -q "Which book is more related to basic vs. advanced CS topics?" I see a lot of potential marrying LLMs with classic UNIX interfaces. https://ift.tt/oeqC3cn February 11, 2025 at 08:55AM

Show HN: A lightweight and flexible open source bastion https://ift.tt/Hbq16NX

Show HN: A lightweight and flexible open source bastion OneTerm is a simple, lightweight and flexible enterprise-class bastion host, designed and developed based on 4A compliant, i.e. Authen, Authorize, Account, and Audit, which ensures the security and compliance of the system through strict access control and monitoring features. https://ift.tt/0rDVWh5 February 12, 2025 at 07:38AM

Show HN: HypeBridge – Your Dedicated AI-Agent Driven Influencer Marketing Agency https://ift.tt/miVOMH4

Show HN: HypeBridge – Your Dedicated AI-Agent Driven Influencer Marketing Agency https://ift.tt/TkV782C February 12, 2025 at 02:32AM

Show HN: I open-sourced machine translation models for 12 rare languages https://ift.tt/MY3s20S

Show HN: I open-sourced machine translation models for 12 rare languages You can test translation quality here https://ift.tt/3Z2eNrx https://ift.tt/hreGdUP February 12, 2025 at 02:37AM

Show HN: Community Detection on Bluesky https://ift.tt/fhEybAF

Show HN: Community Detection on Bluesky We ran the Leuven community detection algorithm on popular users on Bluesky (where the graph has edges determined by Jaccard similarity of a users' followers). We identified 118 communities and based on the names and descriptions of the top 10-20 users had LLMs generate title and descriptions for them. There are communities like "Feline enthusiasts", "Web Professionals", a bunch of NSFW ones and quite many communities are many different flavors of progressive/liberal activists. https://ift.tt/BMc4j7g February 12, 2025 at 02:09AM

Show HN: WhisperCat – An Audio Recorder and Transcription Tool https://ift.tt/Com7bfP

Show HN: WhisperCat – An Audio Recorder and Transcription Tool Hi HN, I wanted to share my first open-source project with you all: WhisperCat . WhisperCat is a small desktop application for recording audio and transcribing it using OpenAI's Whisper API. I built this because I needed something simple and reliable for my own transcription workflows, and now I'm hoping it might be useful to others as well. It's still pretty early stage, but it works well for basic audio recording and transcription tasks. What It Does: Lets you record audio with your preferred microphone. Transcribes audio files automatically via Whisper (OpenAI's transcription API). Supports global hotkeys for recording (e.g., CTRL + R or a custom sequence like triple ALT). Runs in the background (system tray) when minimized. Has a basic microphone testing feature to help you pick the right device. Shows desktop notifications for events (e.g., when recording starts or errors happen). Platforms: WhisperCat is available for Windows and Linux , and there’s also an experimental macOS build you can try if you’re feeling adventurous: Experimental macOS Build You can download the latest release here: https://ift.tt/T4EfNJq Feedback is welcome! https://ift.tt/B3GbHjm February 11, 2025 at 01:11AM

Show HN: Arelo – A simple, flexible file watcher for auto-restarting commands https://ift.tt/dh7DAZl

Show HN: Arelo – A simple, flexible file watcher for auto-restarting commands arelo is a lightweight, language-agnostic file watcher that automatically runs a command when files change. It requires no configuration files; everything is controlled via simple command-line options. Easy to use: arelo -p '**/*.go' -- go run . Flexible file watching: Supports fsnotify (real-time), polling (for environments like WSL2), and fine-grained control with extended globbing (** and {js,ts,json}). Cross-platform and lightweight: Runs on Windows, macOS, and Linux without extra dependencies. Installation: - go install github.com/makiuchi-d/arelo@latest - Or download a prebuilt binary from GitHub Releases: https://ift.tt/nwI76Vx https://ift.tt/uR5jKGn February 10, 2025 at 09:49PM

Show HN: Locksmith – detect locks taken by Postgres migrations https://ift.tt/6QovZBU

Show HN: Locksmith – detect locks taken by Postgres migrations https://ift.tt/EM97lcK February 10, 2025 at 02:26AM

Show HN: Curatrs – Scheduled Programming for Podcasts https://ift.tt/iAVLvU4

Show HN: Curatrs – Scheduled Programming for Podcasts Like many of us, I got tired of scrolling endlessly through podcast apps trying to find the right show for my commute. So I built Curatrs (curatrs.com) - it brings radio-style scheduled programming to podcast discovery. Instead of endless scrolling, you get podcasts programmed for specific times and durations. Currently in early MVP, built with Vite/Supabase, focused on making discovery more intentional and time-based. Would appreciate any feedback, especially from regular podcast listeners https://ift.tt/JqfoNyb February 10, 2025 at 01:23AM

Show HN: Neovim Plugin for iOS and macOS Development https://ift.tt/WlHOFBN

Show HN: Neovim Plugin for iOS and macOS Development Over two years ago, I began exploring whether it was possible to shift my iOS development to Neovim. It took me over six months to resolve all issues and figure out how to connect everything, creating an environment with all the features required for development. After that, I decided to develop my own plugin to enable others to do the same. Since then, I have been developing apps for iOS and macOS using Neovim, for both my professional work and personal projects with no issues. This change has significantly boosted my productivity, and I no longer have to deal with Xcode's flaws. I can accomplish 95% of my work without needing to open Xcode. Before that, it seemed impossible to develop for Apple platforms outside of Xcode. I'm proud that I was stubborn enough to make it work after all those failures along the way. Neovim is an amazing project <3. https://github.com/wojciech-kulik/xcodebuild.nvim February 9, 2025 at 06:16PM

Show HN: Turn Screenshots into Designs Instantly https://ift.tt/HdrkUFP

Show HN: Turn Screenshots into Designs Instantly https://getklippy.com February 9, 2025 at 03:30AM

Show HN: Hyloblog – minimal, Git-based SSG for writing (not theming) https://ift.tt/eQSY0zU

Show HN: Hyloblog – minimal, Git-based SSG for writing (not theming) Hi HN, We're working on Xr0 [0] and have been building a static-site generator that meets our tastes and needs. The basic emphasis is on simplicity and content rather than customisability and feature-richness. We are imitating Jekyll and Hugo (and other SSGs) in their basic generation paradigm and LaTeX in its separating form from content, but attempting to combine these into a unified, minimal philosophy where you can open a repo and start writing without needing a CLI tool to generate your folder for you. The project is broken into two applications: an SSG you can run locally (or in a GH Action etc.) and a platform for easy hosting that bundles in some basic audience interaction features. Both are available on GitHub: [1] and [2]. We've been working on this somewhat sporadically for the past couple of months, and it is very much a WIP, particularly in the themes it offers, but we're keen to hear thoughts on this. [0]: https://xr0.dev [1]: https://ift.tt/yirbg9o [2]: https://ift.tt/6TMzFpe https://hyloblog.com/ February 9, 2025 at 02:53AM

Show HN: I trained a custom LLM to create Apple Shortcuts https://ift.tt/uqJB9jS

Show HN: I trained a custom LLM to create Apple Shortcuts Hi! This is a version 2.0 2x Context window 7-8x Faster Less hallucinations :) https://ift.tt/AmkED38 February 8, 2025 at 11:05PM

Show HN: ExpenseOwl – simple and beautiful self-hostedexpense tracker https://ift.tt/URjFoDa

Show HN: ExpenseOwl – simple and beautiful self-hostedexpense tracker https://ift.tt/Ro8PNCI February 8, 2025 at 02:26AM

Show HN: HN as TikTok, Welcome to HN Hell https://ift.tt/i1NKzs6

Show HN: HN as TikTok, Welcome to HN Hell https://hnhell.com February 5, 2025 at 04:45PM

Show HN: Open-source Hacker News apps https://ift.tt/8SPQLuW

Show HN: Open-source Hacker News apps We at Emerge Tools (YC W21) recently released open source Hacker News apps for both iOS and Android. The apps use the latest SwiftUI and Compose frameworks and are entirely native. Our goal is to help dogfood our products, but more importantly our team just enjoys reading HN every day and wanted an app to hack on and call our own. :) We are still missing some features but should otherwise be pretty solid. And open to any contributions. iOS: https://ift.tt/AOsHRtK... Android: https://ift.tt/UBoVaMW... https://ift.tt/N7yQC0r February 8, 2025 at 02:11AM

Show HN: A website that heatmaps your city based on your housing preferences https://ift.tt/bK1Epm4

Show HN: A website that heatmaps your city based on your housing preferences For the past few months, I've been working on a website that answers two different questions: - Where in my city have the best travel times to all the things and people I care about? - Given a listing, how far is it from all the things and people I care about? Personally this was fueled by my own frustrations when I was apartment hunting in NYC. I was frustrating to have to juggle so many Google Maps tabs when I was evaluating a listing, and it was also annoying to not have full confidence that I was even searching in the right places. I wanted to be close to work, a Trader Joe's, and a major park. Given that public transportation networks can sometimes make close things hard to get to and far things easy to get to, it's not always obvious whether a neighborhood actually even fits my criteria or not! The overarching goal of theretowhere.com is to allow you to make more informed moving decisions while also making things more convenient than they are today. https://ibb.co/pBsX2HjN It can generate detailed travel time breakdowns for individual listings and addresses, making it easier to determine whether a listing is worth applying for without juggling Google Maps tabs. This is great for questions like “How far is this apartment from my friends, work and dancing gyms?” https://ibb.co/mVBjwPrJ It also has the powerful ability to heatmap a city based on which parts of it are close or not to the people and places you care about. This is great for questions like “Where in the city would I be reasonably close to work, friends and a woodworking studio?” https://ibb.co/vCynPSRK You can add these heatmaps to sites like Zillow and Streeteasy to make things super convenient (this was very fun to make). The main thing that's on my mind is whether this is useful or not. Like, is this something you would actually use? I also have other ideas I'd like to eventually intergrate into this (crime heatmaps, noise heatmaps, etc) https://ift.tt/r1QiCb5 February 7, 2025 at 11:53PM

Show HN: Heap Explorer https://ift.tt/esEUCZt

Show HN: Heap Explorer I wrote a little LD_PRELOAD library that makes it easy to inspect and interact with a running program's glibc heap. It's fun to pause processes, free a bunch of their allocations, then resume them. Most of the time, the processes continue as though nothing happened, but sometimes they do interesting things :) https://ift.tt/oIU9xPg February 6, 2025 at 10:24AM

Show HN: Embedding WebAssembly in QR Codes https://ift.tt/gqKNR6m

Show HN: Embedding WebAssembly in QR Codes https://ift.tt/aA50pq6 February 6, 2025 at 08:13PM

Show HN: Mandarin Flashcards https://ift.tt/BibVhd3

Show HN: Mandarin Flashcards https://ift.tt/B12qQf8 February 6, 2025 at 02:27AM

Show HN: Kindly RSS, a self-hostable RSS app designed for e-ink devices https://ift.tt/Y2vIfDF

Show HN: Kindly RSS, a self-hostable RSS app designed for e-ink devices In the last few weeks I've been working on a RSS application designed to be used in e-ink devices such as Kindle, through the device's web browser. It's a self-hostable app optimized for running on low-end hardware (such as Raspberry Pi, I actually run it on a 3b model). The project is in its early stages of development. It is usable, but you may (and probably will :P) encounter bugs from time to time. I did it for myself (I like to read at night before going to sleep but I don't like to use my phone at that time). I thought people could find it useful so I worked on it a little bit more to publish it. At the moment it can only be run by downloading and compiling the source code or using the docker image (in the repo and the landing page there is a curl that executes the script to run the container, manual instructions can be found in the repo's README). Repo: https://ift.tt/q8TA6mJ Dockerhub: https://ift.tt/XcSlq1E Thank you for reading! I'd love to hear your thoughts and suggestions. https://kindlyrss.app/ February 6, 2025 at 02:16AM

Show HN: Grammarly-like extension for any language https://ift.tt/mvKOaMW

Show HN: Grammarly-like extension for any language https://ift.tt/FQcPN4s February 6, 2025 at 12:11AM

Show HN: How good is your color vision? Find out in my new game https://ift.tt/lXIhamZ

Show HN: How good is your color vision? Find out in my new game https://ift.tt/pc59v4S February 2, 2025 at 05:33AM

Show HN: I used Azeron to control my robot like a puppet https://ift.tt/U9EDhGn

Show HN: I used Azeron to control my robot like a puppet https://ift.tt/YBJUxyQ February 5, 2025 at 04:05AM

Show HN: Haystack Code Reviewer – Perform code reviews on a canvas https://ift.tt/8tnY4h6

Show HN: Haystack Code Reviewer – Perform code reviews on a canvas Hi HN! We’re building Haystack Code Reviewer, a tool that lays out code diffs for a GitHub pull request on an interactive canvas. Instead of scrolling through diffs line-by-line, you can view all changes in a more connected, visual format – similar to viewing a call graph. We hope this will make it easier and less cognitively taxing to understand how different changes across files work together. For a quick overview, check out our short demo video: https://www.youtube.com/watch?v=QeOz70x0WPE . If you would like to give it a spin, head over to https://ift.tt/TAZBS9u , click the “Review pull request button” in the top toolbar, and load any pull request via URL or pick a pull request from a dropdown. We built Haystack Code Reviewer because we found pull requests difficult to review in a pure textual format — especially when hopping between multiple files or trying to break down complex changes. Oftentimes, pull request authors would have to specifically structure their commits so that code reviews would be easier to tackle, which is a time-consuming and error-prone process. Our goal is to make any pull request easy to understand at a glance, and reduce the effort needed from both reviewers and authors to craft a good code review. Haystack Code Reviewer works on private repositories! We have authentication to ensure that someone cannot open the server for your pull request without having access to that pull request on GitHub. For additional security, we plan to build self-hosting soon. Please contact us if you’re interested in this. Alternatively, a completely local option would be to download desktop Haystack and then navigate to your pull request from there. This is great for trying out the feature without exposing any data on the cloud! In the near future, we plan to: 1. Introduce step-by-step navigation to guide reviewers through each part of the changeset 2. Allow for self-hosting We’d love to hear your thoughts, suggestions, and any feedback on our approach or potential features! https://ift.tt/aUw0nZb February 4, 2025 at 10:32PM

Show HN: Mandarin Word Segmenter with Translation https://ift.tt/ahVH1OK

Show HN: Mandarin Word Segmenter with Translation I've built mandoBot, a web app that segments and translates Mandarin Chinese text. This is a Django API (using Django-Ninja and PostgreSQL) and a NextJS front-end (with Typescript and Chakra). For a sample of what this app does, head to https://ift.tt/cUzSbL3 . This is my presentation of the first chapter of a classic story from the Republican era of Chinese fiction, Diary of a Madman by Lu Xun. Other chapters are located in the "Reading Room" section of the app. This app exists because reading Mandarin is very hard for learners (like me), since Mandarin text does not separate words using spaces in the same way Western languages do. But extensive reading is the most effective way to learn vocabulary and grammar. Thus, learning Mandarin by reading requires first memorizing hundreds or thousands of words, before you can even know where one word ends and the next word begins. I'm solving this problem by allowing users to input Mandarin text, which is then computationally segmented and machine translated by my server, which also adds dictionary definitions for each word and character. The hard part is the segmentation: it turns out that "Chinese Word Segmentation"[0] is the central problem in Chinese Natural Language Processing; no current solutions reach 100% accuracy, whether they're from Stanford[1], Academia Sinica[2], or Tsing Hua University[3]. This includes every LLM currently available. I could talk about this for hours, but the bottom line is that this app is a way to develop my full-stack skills; the backend should be fast, accurate, secure, well-tested, and well-documented, and the front-end should be pretty, secure, well-tested, responsive, and accessible. I am the sole developer, and I'm open to any comments and suggestions: roberto.loja+hn@gmail.com Thanks HN! [0] https://ift.tt/7aOFIH6 [1] https://ift.tt/LsyCopa [2] https://ift.tt/z0mNpvy [3] https://ift.tt/Tb8w1uf https://ift.tt/KBSqUtI February 4, 2025 at 11:26PM

Show HN: I indexed 10M Shopify products to build an API https://ift.tt/qmZ2Qyz

Show HN: I indexed 10M Shopify products to build an API https://ift.tt/Iah24Hq February 4, 2025 at 02:35AM

Show HN: Calculate Your Revenue https://ift.tt/AIOjxuX

Show HN: Calculate Your Revenue https://ift.tt/Cb0D7xP February 3, 2025 at 04:17PM

Show HN: Surf.new – An open-source alternative to OpenAI Operator https://ift.tt/3zdiSwB

Show HN: Surf.new – An open-source alternative to OpenAI Operator https://ift.tt/FmTcAOE February 4, 2025 at 12:51AM

Show HN: AI text editor with suggested edits in diff view https://ift.tt/PUrdBq8

Show HN: AI text editor with suggested edits in diff view https://www.potext.com February 3, 2025 at 11:41PM

Show HN: Made a tiling manager Linux-XFCE to roughly copy Snap-Layout in Windows https://ift.tt/rlyP9GF

Show HN: Made a tiling manager Linux-XFCE to roughly copy Snap-Layout in Windows Title says all that needs to said about it, admittedly it is stupid to "copy" any Windows feature in Linux but here we are...it is not exactly made for use by extensive audience but just a rough work of it would love any suggestion/critique on it ... https://ift.tt/apr8txR February 3, 2025 at 10:13AM

Show HN: I Built a Platform to Buy and Sell GitHub Repositories https://ift.tt/lZxQX65

Show HN: I Built a Platform to Buy and Sell GitHub Repositories Hey HN, I built a platform that allows developers to buy and sell GitHub repositories using private forking. The idea is to help indie developers, open-source maintainers, and teams monetize their work while ensuring buyers get fully functional projects with minimal hassle. Many developers create great projects but lack the time or resources to maintain them. Instead of letting them fade away, why not sell them to someone who wants to continue the work? Here is how it works: - Sellers list theis GitHub repos in the platform - Buyers purchase repos - Buyers automatically added as collaborators and can fork the repo Check it out here: https://gittrader.com https://ift.tt/yTVXtsL February 3, 2025 at 06:07AM

Show HN: Random Art Generator in Haskell https://ift.tt/opJrBQW

Show HN: Random Art Generator in Haskell https://ift.tt/gnvY0ac February 3, 2025 at 02:11AM

Show HN: Chrome extension to run DeepSeek, LLMs and Whisper locally in browser https://ift.tt/C95usGt

Show HN: Chrome extension to run DeepSeek, LLMs and Whisper locally in browser Hi all, I open sourced my toy project that runs Generative AI models LOCALLY in the side panel of a Chrome extension. The Chrome extension uses Transformers.js to run models in browser under the hood. I've integrated and tested these models so far. \1. LLM: Llama 3, Phi 3.5, Qwen 2.5, SmolLM2 \2. Reasoning: DeepSeek R1 \3. Multimodal LLM: Janus \4. Speech-to-Text: Whisper On an M1 MacBook, DeepSeek R1 1.5B runs at ~30 tokens/sec If you're interested in, you can download the extension from chrome web store or clone my github repository. \1. chrome web store: https://ift.tt/YJCsjXg... \2. github: https://ift.tt/mrIlsn8 \3. demo: https://www.youtube.com/watch?v=MSCDdFG5Lls It's my first react project. Feedback is always welcome! https://ift.tt/mrIlsn8 February 2, 2025 at 11:19PM

Show HN: Modest – musical harmony library for Lua https://ift.tt/1n48EPJ

Show HN: Modest – musical harmony library for Lua This is a project I've been building in my spare time over the past few months. It's a library that provides methods for working with musical harmony ‒ intervals, notes, chords. For example, it can parse almost any chord symbol (Fmaj7, CminMaj9, etc) and turn it into notes, or it can identify a chord from a given set of notes. I started this project with the idea of using formal grammar to parse chord symbols. I wanted to use it instead of a hand-written parser, which is the common approach among similar libraries. Lua caught my attention because of Lpeg, a Parsing Expression Grammar library that is both fast and easy to use. An additional motivation for using Lua was the lack of comparable libraries for it, even though the language is commonly used in audio programming. However, despite being a Lua library, the project itself is written in Fennel — a "lispy" language that transpiles to Lua. Fennel has features that make writing code for the Lua platform much more pleasant: a concise syntax, macros, and destructuring — a feature Lua sorely lacks! In the process, I definitely learned a lot about music theory, although my new knowledge is quite one-sided. By working on this library, I know a thing or two about types and structure of chords, but I learned almost nothing about their composition and transformation. Perhaps these will be the directions I explore next in the project. https://ift.tt/dTFlpQR February 2, 2025 at 04:02PM

Show HN: I built a full mulimodal LLM by merging multiple models into one https://ift.tt/2hGxC7V

Show HN: I built a full mulimodal LLM by merging multiple models into one https://ift.tt/PcZwoUr February 2, 2025 at 12:44PM

Show HN: ESP32 RC Cars https://ift.tt/EbDJtXv

Show HN: ESP32 RC Cars This is a projected I started that blends both the fun of playing a split screen multiplayer driving game and controlling real rc cars. The cars can also be controlled via bluetooth gamepads and is meant to be easily hackable. https://ift.tt/E9wYBnM February 2, 2025 at 12:21AM

Show HN: I hacked LLMs to work like scikit-learn https://ift.tt/DF0Wy89

Show HN: I hacked LLMs to work like scikit-learn Working with LLMs in existing pipelines can often be bloated, complex, and slow. That's why I created FlashLearn , a streamlined library that mirrors the user experience of scikit-learn. It follows a pipeline-like structure allowing you to "fit" (learn) skills from sample data or instructions, and "predict" (apply) these skills to new data, returning structured results. High-Level Concept Flow: Your Data --> Load Skill / Learn Skill --> Create Tasks --> Run Tasks --> Structured Results --> Downstream Steps Installation: pip install flashlearn Learning a New "Skill" from Sample Data Just like a fit/predict pattern in scikit-learn, you can quickly "learn" a custom skill from minimal (or no!) data. Here's an example where we create a skill to evaluate the likelihood of purchasing a product based on user comments: from flashlearn.skills.learn_skill import LearnSkill from flashlearn.client import OpenAI # Instantiate your pipeline "estimator" or "transformer", similar to a scikit-learn model learner = LearnSkill(model_name="gpt-4o-mini", client=OpenAI()) data = [ {"comment_text": "I love this product, it's everything I wanted!"}, {"comment_text": "Not impressed... wouldn't consider buying this."}, # ... ] # Provide instructions and sample data for the new skill skill = learner.learn_skill( data, task=( "Evaluate how likely the user is to buy my product based on the sentiment in their comment, " "return an integer 1-100 on key 'likely_to_buy', " "and a short explanation on key 'reason'." ), ) # Save skill to use in pipelines skill.save("evaluate_buy_comments_skill.json") Input Is a List of Dictionaries Simply wrap each record into a dictionary, much like feature dictionaries in typical ML workflows: user_inputs = [ {"comment_text": "I love this product, it's everything I wanted!"}, {"comment_text": "Not impressed... wouldn't consider buying this."}, # ... ] Run in 3 Lines of Code - Concurrency Built-in up to 1000 calls/min # Suppose we previously saved a learned skill to "evaluate_buy_comments_skill.json". skill = GeneralSkill.load_skill("evaluate_buy_comments_skill.json") tasks = skill.create_tasks(user_inputs) results = skill.run_tasks_in_parallel(tasks) print(results) Get Structured Results Here's an example of structured outputs mapped to indexes of your original list: { "0": { "likely_to_buy": 90, "reason": "Comment shows strong enthusiasm and positive sentiment." }, "1": { "likely_to_buy": 25, "reason": "Expressed disappointment and reluctance to purchase." } } Pass on to the Next Steps You can use each record’s output for downstream tasks such as storing results in a database or filtering high-likelihood leads: # Suppose 'flash_results' is the dictionary with structured LLM outputs for idx, result in flash_results.items(): desired_score = result["likely_to_buy"] reason_text = result["reason"] # Now do something with the score and reason, e.g., store in DB or pass to next step print(f"Comment #{idx} => Score: {desired_score}, Reason: {reason_text}") https://ift.tt/9a2Ouky February 1, 2025 at 10:09PM