556 results for AI - Source

news.ycombinator.com
I got tired of every .NET HTML-to-PDF library so I built a free one from scratchhttps://news.ycombinator.com/item?id=48853670Hi all, I've just open-sourced NetPDF, a project I've been building to scratch an itch that's bugged the .NET community for as long as I can remember, there has never been a genuinely free, high-quality HTML-to-PDF library.Every existing route has a real tradeoff:Headless-browser wrappers (Puppeteer/Playwright/Chromium): huge footprint, a native browser to ship and secure, a process to spawn per render.wkhtmltopdf wrappers: built on an unmaintained engine.Commercial libraries: excellent, but licensed per seat/server."Free" libraries: AGPL (viral copyleft) or a revenue cap that becomes a license fee once you grow.After years of working around this, I decided to build the thing I wanted. NetPDF is a real HTML/CSS layout engine written from scratch in C# - the same category as Prince or WeasyPrint, not "automate a browser."What it isA pure C# / .NET 10 engine that parses HTML + CSS and lays it out itself: block, inline, flexbox, grid, and tables, fragmentation across pages, paged-media (@
Jul 9, 2026 11:14 PM
github.com
Show HN: Cruxible – Open-source governed truth layer for AI agentshttps://github.com/cruxible-ai/cruxibleMemory as text for LLMs works well enough when the truth can be plainly stated and doesn't change, but I kept running into the same problem with LLM wikis, markdown, vector stores - I just didn't trust them, and I didn't trust my agent to properly state its evidence for a claim, its reason for changing something, or rebuild its semantic connections the same way between sessions from a text corpus. I found myself constantly asking my agents to re-verify what was already in my wikis, so what was really the point of the wiki in the first place?I built Cruxible to fix that. It's a governed state layer that human/agent teams operate and iterate on together: you model what's true for your domain in an explicit, typed ontology, and the runtime enforces how state may change. It's designed to be unobtrusive: the state compounds as the exhaust of normal agent work, not as an ontology someone has to manually comb through.Repo is here: https://github.com/cruxible-ai/cruxible- All state that can be
Jul 8, 2026 3:39 PM
whentofly.io
Show HN: Whentofly – flexible-date flight search that says if the price is goodhttps://whentofly.ioHi there! My name is Dima, that's my first post here. Originally I'm an iOS Engineer for 6+ years but now I'm diving deep into AI, product building and everything around it.Here I want to present my first product which I built for two months - as usual for tech background guy I was trying to make it perfect but then decided to start distributing it along future improvements, anywayI got an idea when were discussing another travel idea with my personal agent - it can suggest where to fly, what are places to visit and etc but can't find the best windows to fly there, and nobody can - every time you need to open Google Flights, Kayak and search each date, then watch it and try to figure out is it a good price or not, should you wait 2 days or buy it right now? And each website provides different rates... Using API even not freeSo I build this one. Under the hood we put fares from different sources, aggregators, cross-checked against live market prices. The verdict compares the price with
Jul 8, 2026 12:38 PM
github.com
Show HN: Rowboat – Open-source, local-first alternative to Claude Desktophttps://github.com/rowboatlabs/rowboatClaude’s desktop app is brilliant, but for our own daily work we kept wanting it to be less like a chat app and more like a full-fledged work app. Rowboat is our attempt at that, including the ability to build your own work surfaces inside Rowboat (more below).Our repo is https://github.com/rowboatlabs/rowboat, and there’s a demo video here: https://www.youtube.com/watch?v=et5yQABJ3xIIn a previous startup, we built a deep-learning product for enterprise support reps, including teams supporting P&G brands. Models took live notes, suggested replies, and recommended actions while support reps were on calls or handling emails. One lesson stuck with us: it's not enough for the AI to be right, the help has to show up where the work is happening.So we added what we came to call “work surfaces”: dedicated areas for email, meetings, notes, browser, and parallel coding, where the assistant can help inside the workflow itself rather than only through chat:- Email client: Rowboat has a simple emai
Jul 7, 2026 4:10 PM
bing.com
Why the rise of open source AI isn’t hurting Anthropic … yethttp://www.bing.com/news/apiclick.aspx?ref=FexRss&aid=&tid=6a88fe13f64448d79b61c2c947fec710&url=https%3A%2F%2Ftechcrunch.com%2F2026%2F07%2F07%2Fwhy-the-rise-of-open-source-ai-isnt-hurting-anthropic-yet%2F&c=3107274241939886308&mkt=en-usOn Monday, Decagon CEO Jesse Zhang published a provocative new theory, posted under the title “Everyone is wrong about open source AI in the enterprise.” The post grapples with one of the most ...
Jul 7, 2026 1:04 PM
bing.com
Why the rise of open source AI isn’t hurting Anthropic … yethttp://www.bing.com/news/apiclick.aspx?ref=FexRss&aid=&tid=6a8a6f93fefb45be814e244e0fd3feec&url=https%3A%2F%2Ftechcrunch.com%2F2026%2F07%2F07%2Fwhy-the-rise-of-open-source-ai-isnt-hurting-anthropic-yet%2F&c=3107274241939886308&mkt=en-usOn Monday, Decagon CEO Jesse Zhang published a provocative new theory, posted under the title “Everyone is wrong about open source AI in the enterprise.” The post grapples with one of the most ...
Jul 7, 2026 1:04 PM
bing.com
Why the rise of open source AI isn’t hurting Anthropic … yethttp://www.bing.com/news/apiclick.aspx?ref=FexRss&aid=&tid=6a88f527bb3642028ff75d64ee93f6ed&url=https%3A%2F%2Ftechcrunch.com%2F2026%2F07%2F07%2Fwhy-the-rise-of-open-source-ai-isnt-hurting-anthropic-yet%2F&c=3107274241939886308&mkt=en-usOn Monday, Decagon CEO Jesse Zhang published a provocative new theory, posted under the title “Everyone is wrong about open source AI in the enterprise.” The post grapples with one of the most ...
Jul 7, 2026 1:04 PM
sipp.sh
Show HN: Sipp – Run small local LLMs in browser 3x fasterhttps://www.sipp.shHi HN! Sipp is an open-source AI inference library for running local models in browsers with up to 3x faster decode speeds than alternative libraries.My background is in HCI (human-computer interaction) and graphics programming. Me along with my co-founder have been experimenting and thinking a lot about what the next user experience will look like when tokens are commodified to the point of being essentially “free.” A motivation for us was to try to move beyond the chat app and information retrieval use cases that are dominant now, and figure out how AI could instead act as a continuous and silent hand that helps the user indirectly, subtly monitoring their intent and dynamically generating or shifting the UI to meet their needs.In our explorations, we ran into two pain points: 1) when running AI in the browser, performance wasn’t good enough for real-time applications, and model loading and caching were issues; 2) when trying to run locally on desktop, there weren’t any good solution
Jun 24, 2026 2:52 PM
news.google.com
Small Business Resource Fair in Covington connects entrepreneurs with free support and training - Northern Kentucky Tribunehttps://news.google.com/rss/articles/CBMixgFBVV95cUxOcldCS1RNQWp5RGx3dVluMzR4TmVHQzZDU1VZdlFwM3hGcFhKMFp3SXpCVTc1cmx1MmVrSlRpZzA4cGFFYXB2eU56R0RBZEdyLTNhZk44WVBuY1hIc3RiM01hbGRILUJON3V3UXJMVjlWa3cwOTlQajcteWFreEpUUEs3ZHczQkJ2bE92QTMtUkRnLXZISXhPd3ZmcnZuNllfU0FhN0JTVFhmeHUwLVBfeFpnVU9fQ0diWDhTZUU1T19sS2NiaEE?oc=5Small Business Resource Fair in Covington connects entrepreneurs with free support and training Northern Kentucky Tribune
Jun 23, 2026 7:00 AM
github.com
Show HN: Magenta Real-Time Music Generation Locally on iPhone, Without the GPUhttps://github.com/mattmireles/magenta-realtime-2-iphoneLast Thursday, Deepmind released Magenta Realtime 2 , an open source music generation model. They said it could run on Mac, but not iPhone.As a v̵i̵b̵e̵ ̵c̵o̵d̵i̵n̵g̵ ̵a̵d̵d̵i̵c̵t̵ agentic AI maxxi and person who has melted iPhones before (link at bottom), I took that as a personal challenge and made it my weekend project.On Saturday, I got it to run for 10min straight on an iPhone 12 Pro from 2020 without melting the phone or - shockingly - touching the GPU.How? I chopped the model up into 5 pieces and set them each to run on different parts of Apple's system on a chip (SoC).My past experience taught me that if you can actually leverage it, the iPhone's NPU is incredibly powerful, and power efficient. If you're doing sustained real-time generation for long periods of time on a device without a fan, you gotta use the neural engine or else you will melt the device.See: https://accelerateordie.com/p/we-melted-iphones-for-scienceThe Apple Neural Engine has a ton of constraints, the main o
Jun 10, 2026 10:22 PM
news.ycombinator.com
Ask HN: Are we going to see a portable S3 Tables alternative outside AWS?https://news.ycombinator.com/item?id=48475779AWS announced S3 Tables earlier this year, and the integration with Iceberg is clearly the direction for AI/analytics data stacks. But the native S3 Tables implementation is locked inside AWS.For those of us running self-hosted or multi-cloud, what are the current options?Using regular S3 + separate catalog (Hive/Glue/Polaris) – metadata overhead and extra opsApache Ozone / Ceph + Iceberg – seems heavy for smaller teamsSomething else I'm missing?I've seen rumors about open-source projects adding native Iceberg table support directly in the storage layer (basically S3 Tables but portable). Would that actually help? What's the #1 pain point you'd want solved?Curious to hear from people who tried to run Iceberg workloads outside AWS.
Jun 10, 2026 1:10 PM
news.ycombinator.com
Show HN: Atlasphere – Live Infrastructure Diagramshttps://news.ycombinator.com/item?id=48460286Hi HN. My name is Andrey. On a regular business day, I'm a software engineer working at AWS. Outside of work hours, I spend time on my hobby - writing code.I was once building a pet project that allowed customers to spin up fully synchronized blockchain nodes within just a few minutes. The backend was split into a control plane and a data plane, each with its own AWS account. Later I added two more AWS accounts. One for shared RPC nodes. One for the Analytics Service.Since I love to visualize things, I used drawio to visualize the architecture.With time, I noticed a pattern. I'd write some code, add a few lambda functions, update my drawio diagram, write more code, introduce a few more resources, test things, see that everything works fine and go to sleep with a smile on my face. Next week I'd check my diagram, and shockingly, it's missing some of the resources! This kept happening for a few more weeks until I decided to fully abandon the project until my infrastructure diagrams could
Jun 9, 2026 12:35 PM
spacenews.com
Let’s procure in-orbit services like Earth observation data and serviceshttps://spacenews.com/lets-procure-in-orbit-services-like-earth-observation-data-and-services/The Chinese company MizarVision recently gained attention with its open source Earth observation data analysis over the Middle East which showed images of F-35s gathering 24 hours before Operation Epic […] The post Let’s procure in-orbit services like Earth observation data and services appeared first on SpaceNews.
Jun 9, 2026 10:00 AM
github.com
Show HN: Open-source general-purpose alternative to Exa Websetshttps://github.com/tinyfish-io/bigsetHey Everyone!So I get to spend most of my day tweaking and playing around with really powerful search engines at TinyFish (which is so awesome). I’ve recently been super fascinated by the idea of using a search engine recursively to build datasets.Been playing around with Exa’s WebSets product quite a bit and realized it was mainly focused on prospecting, and it creates datasets with a lot of missing data.So we built a fully open source project, that can build and update datasets on any topic.Datasets I have generated so far, “All products that Starbucks sells on amazon, with their price and if they are in stock”, “All theme parks in California, with ticket prices” , “All YC companies that are currently hiring for eng roles with their hiring page link” Would love for yall’s to try it out, and drop your thoughts, stars and feedback. Thanks!
Jun 2, 2026 5:58 PM
pictolab.io
Show HN: Pictolab (online HDR image editor)https://pictolab.io/Source code: http://github.com/anchpop/pictolabI love HDR, but until recently dynamic HDR content was hard to render in the browser. But now, with browsers shipping support for WebGPU and canvases with extended color spaces, it's actually feasible.So what I wanted to was make an image editor capable of doing the simple edits I often need to do, but with full HDR support, which is rare in browser editors. Turning up the brightness on an HDR-capable monitor is a great way to see what your monitor can do :PI tried to go overboard in every way I could. So brightness/saturation/hue adjustments use the okLCH color space, and there's an option to do a "content-aware resize" with seam carving, which is fast because it's parallelized using Sam Westrick's triangle-blocking algorithm [0].Also, the site supports importing HEIC photos as taken with an iPhone, which is surprisingly hard to do correctly. Libraries like libheic don't fully support the format used by iPhones, so if used naively the HDR
May 31, 2026 9:45 PM
news.ycombinator.com
How to prevent ideological capture of sites like Wikipedia, HNhttps://news.ycombinator.com/item?id=48290346Someone submitted a link [1] to an article on Wikipedia's whitewashing of Mao titled Wikipedia Whitewashes Mao – The Anatomy of Ideological Capture [2], a topic which in a more generalized form is of interest to the current average HN denizen given the prevalence of Wikipedia in LLM training data. It did not take long for the flaggers and down-voters to take down the article which has only managed to get a few comments, the top one claiming the article to be 'a pretty political take on a Wikipedia article'. I think the subject deserves more discussion since it points out a clear problem with sources like Wikipedia but also because of the way this article was quickly flagged to death. The flagging and down-voting mechanisms make sites like HN vulnerable to the same type of ideological capture as what is discussed in the linked article in that a relatively small group of motivated users can suppress 'unwanted' subjects while boosting those which fit some desired narrative.[1] https://new
May 27, 2026 6:14 AM
hackobar.com
Show HN: Hackobar – One feed for AI newshttps://hackobar.com/Hey HN,Out of frustration of keeping up with AI news, I built hackobar. It fetches the AI related news from multiple sources such as HN, arxiv, github trending repos, huggingface, many ai subreddits, twitter handles that cover AI, Tech news outlets, major ai lab blogs and of course the numerous AI news letters that are growing by day.GitHub trending repos isn't "news" but as an engineer it matters. you can't read every arXiv paper or every HuggingFace drop. HN has the best discussions, Twitter has some, newsletters have some. I used to check 5 places and still felt behind.Building this was fun. I had to face many technical challenges, even though I have used Claude Code to help build I think the decisions I took to mitigate those challenges are interesting and wanted to share with this crowd.1 Fetching: I had to fetch different sources at different rate because fetching some on regular bases didn't make sense. for example, fetching AI labs blogs every few hours does not make sense but
May 25, 2026 4:02 PM
github.com
Show HN: Forge – Guardrails take an 8B model from 53% to 99% on agentic taskshttps://github.com/antoinezambelli/forgeHi HN, I'm Antoine Zambelli, AI Director at Texas Instruments.I built Forge, an open-source reliability layer for self-hosted LLM tool-calling.What it does:- Adds domain-and-tool-agnostic guardrails (retry nudges, step enforcement, error recovery, VRAM-aware context management) to local models running on consumer hardware- Takes an 8B model from ~53% to ~99% on multi-step agentic workflows without changing the model - just the system around it- Ships with an eval harness and interactive dashboard so you can reproduce every numberI wanted to run a handful of always-on agentic systems for my portfolio, didn't want to pay cloud frontier costs, and immediately hit the compounding math problem on local models. 90% per-step accuracy sounds great, but with a 5-step workflow that's a 40% failure rate. No existing framework seemed to address this mechanical reliability issue - they all seemed tailor-made for cloud frontier.Demo video: https://youtu.be/MzRgJoJAXGc (side-by-side: same model, same
May 19, 2026 12:23 PM