osaitech · Product Hunt

OpenSourceAI.tech Discover 10,000+ open-source AI projects, models & tools

screm · HN

Product analytics (and evals) for agent sessions on your MCP

@ShpendPalushi · X

I guarantee you, you are not getting most out of your data. Let Product Gale tell what you are missing from your data

@Toolkit__ai · X

TaylorM492 · HN

InferAll – One API for OpenAI, Anthropic, Google, Nvidia Nim

u/Capital-Top3289 · Reddit

I built a spreadsheet where every column is an AI agent (research, scrape, or API) — looking for feedback I got tired of pasting the same 50 company names into ChatGPT one by one, then copying websites / CEOs / LinkedIn URLs back into Excel. So I built MySheets: it looks like a spreadsheet, but each column can be: an AI prompt that runs row by row a web scrape an HTTP API call Columns can read previous cells, so you chain: name → website → product summary → CEO → LinkedIn. You

@getpapi_ai · X

placed 3rd in the r/vibecoding vibejam 2026. It made me go viral in r/ohio It was my first ever jam entry, I'm also not a developer...or from Ohio. was planned, reviewed, shipped and currently managed by

u/yonnnyy · Reddit

How should I revive my Saas after 300 hours spent developing To provide context, a couple months ago I created a pdf to JSON ai extraction engine. I know... There are hundreds of products like this but for me the value proposition is that other solutions were heavy weight, expensive, non intuitive templates, and was slow. Therefore I created my own and I met my goals. I see genuine value in my product but the lack of users says otherwise. I think my best option is to build on top of this

chenglong-hn · HN

Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple

pixipace · HN

Who is using AI? A daily tracker, 1,600+ city heatmap, DOI dataset

@Boltchh · X

u/DanTahirCode · Reddit

I built an open source coding agent with a personality - meet Klenny Code 🐾 Hey r/SideProject, my name is Dan Tahir, and I'm here to show off something I'm really proud of: Klenny Code, the open source coding agent with personality. A fully capable coding agent with memory and cross-project referencing, plus an assistant who can read your email, run scheduled tasks, pilot your browser, and be your corgi pal. Here's the pitch: bring your own OpenRouter API key, and Klenny wil