Docaro
AI car maintenance tracker — snap a receipt, done
What it does
Most car maintenance trackers make you type everything by hand — so people quit after a week. Docaro doesn't. Snap a photo of any receipt and AI builds the record for you: date, mileage, work, parts, cost — works in any language. Get a full vehicle service log in one place, smart reminders, spending insights, one-tap PDF export as proof when you sell — plus a built-in Feature Request screen so you can shape what we build next. Built for owners who want their car's history to keep itself.
Does the same job
all alternatives →
Agent Mode by Receiptor AIJun 2026 · receiptor.ai · ▲520Bookkeeping assistant that runs receipt workflows end-to-end
SnapRegistersJun 2026 · snapregisters.com · ▲2Snap a receipt, track every warranty automatically with AI
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I might be the only SRE on Earth with his own bowling center. It's a more in-depth gig than you'd think. My family and I bought an abandoned 8-lane bowling center in the rural mid-west. In our small town there weren't many recreation options for families. You've heard of a food desert? This is an R&R desert. It had been abandoned for a good reason. The roof leaks, the electrical system was constantly surging, and my 70-year-old bowling equipment (still) doesn't work perfectly. The system that keeps your score is particularly interesting to me. It's the thing you watch during your game, but…
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Over the past few months, our team has been building more and more slidedecks using web frontend technologies with coding harnesses like Claude Code, but a common complaint is to make even small edits we need to edit the code either manually or via the harness. To avoid this loop, I ended up creating Bento, a single HTML file with everything you need in a slide tool including animations and shared editing. There's no install or cloud login, everything works offline. The default deck is around 560 KB and it doesn't need to fetch anything once you got it. Open it in a browser and then you can…
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A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…
AI · Jul 2026 · github.com
