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/16T9mSV - license is GPL), or you can use our hosted version ( https://ift.tt/M2CEuy3 ) 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/16T9mSV February 27, 2025 at 10:50PM
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/FHqJcIA February 24, 2025 at 08:09PM
Show HN: Yaak – An Open Source, Git-Friendly Desktop API Client Hi HN! I'm Greg and I've been working on Yaak for just over a year. I usually describe it as a Postman alternative since most developers are familiar with that, but it's targeted more toward users that just want an API client (no mocking, testing, spec design, etc). Having also created Insomnia for a similar purpose, I never thought I'd build another API client again. But, after selling Insomnia in 2019 and watching it expand into the broader feature set of Postman, I was left wanting a simpler tool again. Yaak was my answer to that. It's hard to describe how it's better than the 100 other API clients, since its main benefit is design, but there are a few stand-out features: - Optionally sync data to a local directory as plain-text, for use with Git/etc - Build and install plugins for authentication, template functions, or generic actions - Support for REST, GraphQL, WebSocket, server sent events, and gRPC Yaak requires a license for commercial use but this only applies when using the prebuilt binaries. If building from source, a license is not required. It's available for Mac, Windows, and Linux and the source is at https://ift.tt/e1hGn2V I'd love to hear you think! https://yaak.app February 26, 2025 at 10:54PM
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/e5itWw8 The ruleset: https://ift.tt/VBouAmY The research: https://ift.tt/I7XvkKB... https://ift.tt/e5itWw8 February 26, 2025 at 12:52AM
Show HN: Txtl – Fast static website of text utilities I often need simple text tools (e.g. diffing, epoch time conversion, number base conversion) and was frustrated that I couldn't find a simple option that was as fast as I wanted. Many (SEO-optimized) websites exist, but they unnecessarily send your input to their servers. I used tools like DevToys but their diff has been broken on Mac for a while [1] and it requires installing an app, and CyberChef is good but requires too many interactions (yes, I'm picky). So, I decided to build my own. txtl tries to autodetect what mode you want based on the input, and in general is fast and gets out of your way as much as possible. For example, if you paste in a number then it will show base conversions, but if it looks like an epoch timestamp then it will display the corresponding date. And of course it's open source at https://ift.tt/XqQBC3Z This was partly also a way for me to try out LLMs on a frontend/new project. This could probably be a whole blog post, but I see why some people can say that LLMs can 10x their productivity (I certainly didn't find this true in my day job) - I was really impressed with what o1 can do, it probably got me 70% of the way there in one shot. And as someone not familiar with frontend development, iterating was way faster. But, it still requires plenty of feedback and requires handholding - I had to completely rewrite the diff rendering logic, despite what I tried I couldn't get an LLM to get it right. Would love feedback on the autodetection and overall usability! [1] https://ift.tt/GrMJIYf https://ift.tt/5zwdgBA February 25, 2025 at 11:30PM
Show HN: Bracket City – A daily, exploded (?) crossword puzzle Hi hn - I co-own a diner where I co-host a puzzle night that is kind of like a diner-themed escape room. At the last one, I made a puzzle that was crossword-like clues nested in brackets. People at the diner seemed to like it, so I resolved to make it a real game and Bracket City was born: https://bracket.city . I love crosswords, so it's been fun to write crossword-like clues: [it contains MSG] as well as clues that would not make it into a crossword: [___ <=== you ===> hard place] I write all the puzzles and post a new one at midnight ET every day of the week. Still working on a lot of features/fixes. I'm aware that scoring based on keystrokes is pretty unfair, especially given not-ideal custom keyboard on mobile! Still thinking through the best solution there. Also fun fact: if you sign up for the email list, you get a special "Word of the Day" email written by James Somers (of https://jsomers.net ). The only way to sign up for the email list is to finish a puzzle! ** (answer key: NYC, ROCK) https://bracket.city February 24, 2025 at 08:50PM
Show HN: I built an app to stop me doomscrolling by touching grass i wanted to change the habit of reaching for my phone in the morning and doomscrolling away an hour so i built an app to help me. now i have to literally touch grass before accessing my most distracting apps the app is built in swiftui, uses the screen time apis provided by apple and google vision to recognise grass or not i'd love to get your thoughts on the concept. https://touchgrass.now/ February 24, 2025 at 05:45PM
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 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/h3aUVMd 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/h3aUVMd February 23, 2025 at 08:58PM
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/UFIRed9 February 23, 2025 at 10:28PM
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/L8UsSxk February 22, 2025 at 11:28PM
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/EQbMJ4h February 23, 2025 at 12:21AM
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/PUgS4sJ February 22, 2025 at 01:03AM
Show HN: Tradofire, a fun way 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/xqmeDTf February 22, 2025 at 01:23AM
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/e1SloND February 22, 2025 at 12:09AM
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/U2dYJ3N ). 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/SI2oPGA Github: https://ift.tt/qNlWjn8 Huggingface: https://ift.tt/mUTXGyZ 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/SI2oPGA February 21, 2025 at 12:19AM
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/IHLVNrk February 20, 2025 at 11:23PM
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/loYtDha Repo: https://ift.tt/y2Q3CN0 (We think you're gonna love it!) https://ift.tt/loYtDha February 20, 2025 at 01:41AM
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/L9lfBTF . 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/L9lfBTF https://ift.tt/GhYXgRx February 19, 2025 at 04:59AM
Show HN: A GPU-accelerated binary vector index This is a vector index I built that supports insertion and k-nearest neighbors (k-NN) querying, optimized for GPUs. It operates entirely in CUDA and can process queries on half a billion vectors in under 200 milliseconds. The codebase is structured as a standalone library with an HTTP API for remote access. It’s intended for high-performance search tasks—think similarity search, AI model retrieval, or reinforcement learning replay buffers. The codebase is located at https://ift.tt/cyK9eUS . https://ift.tt/Skwipyg February 17, 2025 at 06:15AM
Show HN: Mind Map Wizard – Generate Infinite Mind Maps with AI, for Free (FOSS) Hi everyone, I want to share my newest project, Mind Map Wizard - a Text to Mind Map AI that transforms your text input into a detailed mind map in seconds. Just type in your topic and go. No account required! I want to get a solid overview of any possible topic in seconds. You don't need an account and there's no paid option. Features: - Simplicity: Only the essentials. Editing, sharing, downloading and creation history. All mind maps are stored locally in your browser. - Focus: Without any ads and an intuitive design, you can fully concentrate on your topics without distractions. -Local first: Data is stored locally, ensuring fast navigation and enhanced privacy. Check out this mind map I generated about Switzerland: https://ift.tt/1Z0C2UT I’d love to hear your thoughts on how to improve Mind Map Wizard. Thanks for your support! GitHub link: https://ift.tt/oG7RE3N https://ift.tt/WSFDATk February 17, 2025 at 10:53PM
Show HN: Hackyournews.com v2 A year and a half after I published https://ift.tt/7xfBiL3 , 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/tDfVlMa [2] https://ift.tt/x7mLb4V February 16, 2025 at 06:16AM
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/VUu37X8 February 16, 2025 at 11:24AM
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: 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: Open-Sourcing My LLM Drag and Drop Website Builder Hey HN - OP here. I wrote some about this project in the following link, and there's a video demo as well: https://ift.tt/Zv1PARS... This has been one of my favorite things I've ever worked on - the way the LLM collaborates with the user to accelerate tedious and hard work, the way you can directly edit the code instead of dealing with a panel of visual editing toggles - I think it has a lot of potential but I don't have time to pursue it anymore so open-sourcing it. The idea for this came out of conversations with a few people who were struggling with frontend development. For technical people, strictly using an LLM to write code can be tedious. To combat this, LLM usage is limited to getting started quickly, improving design, and wiring up frontend state. On the other hand, writing frontend code feels less efficient than just moving things around on a screen. Hence the drag and drop interface that makes it fast to build. Finally, I despise the visual editing toggles on Figma / Bubble / Squarespace / etc. The amount of hunt and peck to simply adjust a font a bit and change some colors or add a shadow is a huge time suck. So I built a way to directly edit the underlying React code when styling - just add or remove tailwind classes. IMO the craziest thing is that all of the code is just stored on the frontend in a config language of sorts. It is inflated at runtime and can be updated without any hot reload. There is no "underlying React code" for the app you're building here - in order to edit the code, I convert the config into React code, then convert back to a config, which triggers updates in the dom. Anyways, I think there's a lot of clever stuff in here, but then again I wrote it. Happy to answer any questions and hope this is interesting/helpful to someone else out there. https://ift.tt/tOx7hLo February 14, 2025 at 11:38PM
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/fZ1o8ME February 14, 2025 at 04:15AM
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 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/Dxi10Qr `, 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/CFtjpOg ). https://ift.tt/yR1tNjk February 14, 2025 at 01:53AM
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/qBKiYfD February 11, 2025 at 08:55AM
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/qThzLNX February 12, 2025 at 02:09AM
Show HN: Colada for Claude I actually enjoy Claude.ai's interface and artifacts implementation. I didn't want to lift and shift over to another LLM tool. So, to get past the daily limits, I decided to build a simple Chrome extension which continues conversations using your own Anthropic API key (or using our managed key). In short: - Get past Claude.ai conversation limits - Bring your own Anthropic API key - Optionally use our managed unlimited API key - Preserve conversation context - Bring project knowledge context into your extended convos - Reference web search results anytime by asking "Search the web" Let me know what you think. Open to any and all feedback. https://usecolada.com February 11, 2025 at 10:38PM
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/3c1ka2E Feedback is welcome! https://ift.tt/RCcf6pr February 11, 2025 at 01:11AM
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/1asD0UM https://ift.tt/awq5iZ3 February 10, 2025 at 09:49PM
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/Ppm0DVL February 10, 2025 at 01:23AM
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: 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/618wZAl [2]: https://ift.tt/FNxkqhI https://hyloblog.com/ February 9, 2025 at 02:53AM
Show HN: Chez Scheme txtar port from Go This is a loose port of https://ift.tt/aQuUEe0 , which concatenates files together and allows for a top-level comment. The txtar format is specifically designed to be easy for humans to read and write by hand. It's perfect for test data. The library itself tries to follow scheme standards by depending on only SRFIs. I hope it's a helpful showcase of a scheme library! I'm also new to writing scheme, and if any experienced scheme devs are out there with feedback, that would be much appreciated. https://ift.tt/yDNlHTB February 8, 2025 at 11:54PM
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/TmC1QvY... Android: https://ift.tt/Xt34dDG... https://ift.tt/q8WeDMa February 8, 2025 at 02:11AM
Show HN: A configuration management system for minimal *Nix environments I built this thing to scratch my itch for a simpler alternative to Ansible and similar for basic jobs like setting up a dev env, building containers, and provisioning small fleets of servers. Grateful for feedback on the approach! A couple of friends and I have found it useful for day-to-day automation tasks and I'm wondering if there's enough utility in its ability to target minimal environments like Alpine containers or IoT devices to warrant fleshing out a proper 1.0 release. https://ift.tt/CI6uEtQ February 7, 2025 at 11:16PM
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/06CVZmT February 6, 2025 at 10:24AM
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/DLun96a Dockerhub: https://ift.tt/RrZkF3N Thank you for reading! I'd love to hear your thoughts and suggestions. https://kindlyrss.app/ February 6, 2025 at 02:16AM
Show HN: CoPlay – Enabling In-Room Xbox Gaming for Children's Hospitals Hey everybody, My name is Brady. I'm the creator of CoPlay. Think of it as an MDM/fleet management for xbox accounts and devices. Pediatric hospitals want to allow their patients to play and connect with friends, family and other patients but they have lacked the tools to facilitate and manage this in the past. A friend and I found this problem while volunteering at our local children's hospital. We are now in 6 pediatric hospitals across the US. Yup, it's a niche. But it's a cool niche. I'm sharing this to get feedback, answer questions, contribute to this amazing community and most importantly, HOPEFULLY FIND SOMEONE THAT CAN GET US CONNECTED TO SOME OF THE HIGHER UPS AT MICROSOFT/XBOX. If you have any connections at all please reach out. We believe there is an opportunity for a beautiful partnership there. Sorry for shouting ;) https://ift.tt/2HGADes February 5, 2025 at 02:08AM
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/RTGSDjI , 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/tSGg4f7 February 4, 2025 at 10:32PM
Show HN: CLI tool that makes your app self-hostable in one command I've been exploring the self-hosting world for some time now, and I wanted to simplify things with one command and avoid having to jump through hoops to make my application self-hostable. I thought many of these could be automated, so I'm automating everything related to self-hosting, one after the other. Please check the roadmap for what I have in mind. I'm open to anyone who wants to contribute and give feedback. https://kagehq.com/ February 4, 2025 at 11:34PM
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/wdZ0Ex6 . 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/60OTK8Q [1] https://ift.tt/WJSpGEL [2] https://ift.tt/cjzCVm4 [3] https://ift.tt/2crU8ge https://ift.tt/4CXU1kP February 4, 2025 at 11:26PM
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/yEQcLnz February 3, 2025 at 06:07AM
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/TYnW9vw... \2. github: https://ift.tt/rCbGxUg \3. demo: https://www.youtube.com/watch?v=MSCDdFG5Lls It's my first react project. Feedback is always welcome! https://ift.tt/rCbGxUg February 2, 2025 at 11:19PM
Show HN: Groundhog AI Spring API For anyone building weather-related AI apps, I am releasing an exciting iteration on last year’s model. My Groundhog API is trained on 130 years of data and makes use of 82 separate data sources. Similar to DeepSeek, it is completely open source and free to use. The primary use case is to make inferences about whether spring will come early or not, using a Mixture of Exports (MoE) approach, but surely others can be found if you are creative. Other use cases: - All predicting groundhogs - Where they all live - Whether they are “real” groundhogs or imposters Excited to see what people do with it! https://ift.tt/xtD0YE9 February 2, 2025 at 10:59PM
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/cfNoauW February 2, 2025 at 12:21AM
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/KnsYruq February 1, 2025 at 10:09PM
Show HN: I re-designed interface for HN Any suggestions are appreciated, stack utilizes Gluestack UI ,Expo, React Native, and Cloudflare Pages. There is a known bug via touch scroll ability on Android, external keyboard's spacebar or mouse works correctly though, currently. If you know about a solution, let me know. Please note, this is just a prototype, it still has a lot of features to be included. I'd like to learn more about how people use HN and how Hacked could help, where other HN clients failed. https://ift.tt/c6RvFrG February 1, 2025 at 10:41PM
Show HN: Simple to build MCP servers that easily connect with custom LLM calls Hi! After learning about MCP, I'm really excited about the future of provider-agnostic, re-usable tooling. Unfortunately I've found that while it's easy to implement an MCP server for use with tools that support it (such as Claude Desktop), it's not as easy to implement your own support (such as integrating an MCP server into your own LLM application). We implemented a thin MCP wrapper that easily integrates with Mirascope calls so that you can hook up an MCP server and client super easily to any supported LLM provider. Excited to see what people build with this! https://ift.tt/c5qC27Y February 1, 2025 at 06:20AM
Show HN: Ros2_utils_tool, a powerful GUI toolset for ROS2-based utilities Hi Hackernews, over the past few weeks, I've been tirelessly working on a GUI toolset for all sorts of ROS2-based utilites to simplify my tasks with ROS at work. Now I want to present to you the ros2_utils_tool. This tool can do many ROS2-based utilites, for example editing a ROS bag file to remove, rename or crop topics, extracting a video or image sequence out of a ROS bag, creating dummy bag files or just publishing a video as a ROS topic. While being developed to be as simple and lightweight as possible, the toolset supports many advanced options, for example different video and image formats, custom fps values, switching colorspaces and more. I've also heavily optimized the tool to support multithreading or in some cases even hardware-acceleration to run as fast as possible. The tool offers full graphical user interface support for all features, while I've also added additional command line interface support for most of them. As of now, the ros2_utils_tool supports ROS2 humble and jazzy. The application is still in an alpha phase, which means I want to add many more features in the future, for example GUI-based ROS bag merging or republishing of topics under different names, or some more advanced options such as selecting messages for video or image generation. The ros2_utils_tool requires an installed ROS2 distribution, as well as Qt6 or Qt5 for the user interface, the cv_bridge for transforming images to ROS and vice versa, and finally catch2_ROS for unit testing. You can install all dependencies (except for the ROS2 distribution itself) with the following command: sudo apt install libopencv-dev ros-humble-cv-bridge qt6-base-dev ros-humble-catch-ros2 For ROS2 Jazzy: sudo apt install libopencv-dev ros-jazzy-cv-bridge qt6-base-dev ros-jazzy-catch- Install the UI with the following steps: cd path/to/your/workspace/src git clone https://ift.tt/yq65k7R cd path/to/your/workspace/ colcon build Then run it with the following commands: source install/setup.bash ros2 run ros2_utils_tool tool_ui The ros2_utils_tool uses the EUPLv1.2 as license. More information, for example regarding the command line interface tools are shown under [0]. [0] https://ift.tt/NhnglxR https://ift.tt/NhnglxR January 31, 2025 at 09:13PM
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