I built a Raspberry Pi webcam to train my dog (using Claude)
Hey HN! I’m a Product Manager and made a DIY doggy cam (using Claude and a Raspberry Pi) to help train my dog with separation anxiety. I wrote up a blog post sharing my experience building this project with AI.
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Petcube Play 2 & Petcube Bites 22019 · ▲129Home cameras for pet owners w/ treats, lasers, voice control
- IVI've used Go to build a daemon for the Raspberry Pi2013 · jondot.github.io · ▲105
- DADonglePi, a USB Stick Giving You the Raspberry Pi IOs on a PC2015 · github.com · ▲92
- WBWe built an appliance with Raspberry Pi that backs up from the cloud2012 · ▲17
http://picirus.com For Startup Weekend Tulsa, we created a small low-power appliance (built on Raspberry Pi) that you connect to your different cloud accounts -- Facebook, Flickr, Dropbox, etc. -- and it downloads a copy of all your stuff every night. I was thinking about all the people I love who share directly to the cloud, without a lot of planning for the case where their Facebook account gets hacked, their Dropbox account has a glitch, or one of these services they love goes out of business suddenly some day. We had a ton of fun building Picirus during Startup Weekend. I highly…
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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.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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…
AI · 27d ago · cactuscompute.com
Launched alongside, November 2025
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Life & fun · Nov 2025 · bitsnpieces.dev
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Life & fun · Nov 2025 · boing.greg.technology