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2023-11-20 01:30:05

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Browse through open source projects on, add your project to get more exposure and connect with other maintainers and contributors!

A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.

Grist is a modern relational spreadsheet. It combines the flexibility of a spreadsheet with the robustness of a database to organize your data and make you more productive.

I grew up on a small farm in rural Ireland, milking cows and herding goats. On the weekends, I learned to program on a ZX81, by sneaking up to it when my older siblings weren’t around, and randomly tweaking their programs to see what happened. While doing so, I noticed that I was indoors, warm, sipping tea, and not getting kicked or head-butted by farm animals. I wanted more of that sort of thing, so I went on to study computer engineering at the University of Limerick. After that, perhaps from nostalgia for the goats, I did a doctorate at MIT on robots that poke things to learn about them. If a robot ever pokes you to learn about you, my apologies (if you didn’t like it), or you’re welcome (if you did). This was the C/C++ phase of my life. Then I did some machine learning and computer vision at a small startup in NYC, for an early live video search engine that could detect people talking to their cats, streaming their coding sessions, or strumming guitars. This was my Python period. After that company was bought by Axon/Taser for use in law enforcement and surveillance, I moved on to another small startup in NYC that has so far had only the most benign of applications: Grist Labs. There’s still some Python in my life, but now Typescript dominates.

I’ve a son in high school who is somewhat into tech, and I pay close attention to what he and his buddies get into. When they hacked together a Wordle variant by extracting some JSON from an academic paper on comparative linguistics, and getting ChatGPT to render it as a website, I knew it was time to pay attention. I also follow a lot of current and recent grad students, since that’s another good source of fresh ideas. For example Geoffrey Litt has an interesting vision for the future of software, and spent a lot of time wrestling with reactive databases (very relevant to Grist).

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