AllKeep is on the web now:
https://t.co/NAEKwfoniQ
Take a photo of your stuff → the AI names and sorts it → ask where it is later instead of digging through boxes.
Started Android-only; now add and search from your browser too. The app also got multi-select, a home dashboard, and accessibility updates.
https://t.co/tjWjY0qIt7
Today I shipped my first app: AllKeep.
My wife and I had boxes everywhere and never knew what was in any of them. So I built something to fix it.
Snap a photo of your stuff — AI names it, sorts it, files it. Then just search "where's the drill" and it tells you.
https://t.co/tjWjY0qIt7
A small favor: I need 12 Android users to help me get AllKeep onto Google Play. Google requires 12 opted-in testers before I can publish.
https://t.co/4KRWJ3dbUX
If you're in, send me your Google account email (the one tied to your Play Store) and I'll add you to the tester list and send the opt-in link. Thank you.
My AI agent made 500 decisions and called the LLM only 31 times.
I thought it had learned patterns.
Turns out it was mostly hallucinating 🙂
How do you deal with hallucinations in small models?
After working with many LLMs, I’ve noticed something.
The highest-quality code usually comes from chat workflows.
Models like Opus 4.6 or Gemini 3.1 Pro perform best with large, rich context.
What’s the hardest problem you’re facing in development right now?
Reply, I’ll try to suggest a solution.
Major update to Japan Life Hub 🇯🇵
AI Property Agent now covers 90 cities across Japan.
Tell it your budget and work location → get district recommendations with real rent estimates.
Here's what it does 🧵