Databite – An open source integration library
Hey HN, I’m building Databite, an open-source set of tools to help developers build integrations faster and with ease. If you’ve ever built a SaaS product or an AI agent that needed to update a CRM record, sync data between apps, or trigger a workflow in a third-party tool, you’ve probably spent way too much time writing glue code. Databite is here to be that glue. With Databite you can: - Access prebuilt connectors using the databite/connectors package. - Create custom connectors to services of your choice like Slack, Notion, HubSpot, Google Sheets, etc. using our databite/build…
What it does
In the maker’s words, at launch
Hey HN, I’m building Databite, an open-source set of tools to help developers build integrations faster and with ease. If you’ve ever built a SaaS product or an AI agent that needed to update a CRM record, sync data between apps, or trigger a workflow in a third-party tool, you’ve probably spent way too much time writing glue code. Databite is here to be that glue. With Databite you can: - Access prebuilt connectors using the databite/connectors package. - Create custom connectors to services of your choice like Slack, Notion, HubSpot, Google Sheets, etc. using our databite/build package. - Embed one click authentication flows to your React projects using our databite/connect package . - Schedule syncs and mange connections using our databite/engine package. - Provide docs and have AI build new connectors for you using our databite/ai package. The idea is to make building integrations as easy as npm installing a library. This is especially useful if you’re building AI agents that need large action libraries. Databite can serve as the “integration layer” for your agent to perform real-world tasks. We’re still very early (wouldn't recommend using the libraries for anything serious just yet, sharing early or I might just never do it (: ). The goal is to start building a community of interested contributors. I believe given the nature and scale of the problem, integrations can only be truly solved by a vibrant open source project (we're under the MIT license which allows almost every imaginable use case). You can find out more on our website (https://databite.dev). Or watch us on Github and get notified on our progress (https://github.com/DatabiteDev/databite)
Does the same job
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Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…



More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Astute▲585Automate your B2B brand going viral, with new media creators
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, October 2025
the whole month →

- SA
I went down the rabbit hole on a side project and ended up building this: Strange Attractors(https://blog.shashanktomar.com/posts/strange-attractors). It’s built with three.js. Working on it reminded me of the little "maths for fun" exercises I used to do while learning programming in early days. Just trying things out, getting fascinated and geeky, and being surprised by the results. I spent way too much time on this, but it was extreme fun. My favorite part: someone pointed me to the Simone Attractor on Threads. It is a 2D attractor and I asked GPT to extrapolate it to…
AI · Oct 2025 · blog.shashanktomar.com

- ASAutism Simulator▲779
Hey all, I built this. It’s not trying to capture every autistic experience (that’d be impossible). It’s based on my own lived experience as well as that of friends on the spectrum. I'm trying to give people a feel for what masking, decision fatigue, and burnout can look like day-to-day. That’s hard to explain in words, but easier to show through choices and stats. I'm not trying to "define autism". I’ve gotten good feedback here about resilience, meds, and difficulty tuning. I’ll keep tweaking it. If even a few people walk away thinking, "ah, maybe that’s why my coworker struggles in those…
Life & fun · Oct 2025 · autism-simulator.vercel.app
