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* Voice first
* Private first
* AI chat
* Automatic tagging, meaning extraction, and semantic retrieval using embeddings stored locally
* Export to LLM
the AI angle is especially interesting for me. It allows me to ask questions like:
* "remind me highlights and crazy nights in the last 3 months"
* "How was I feeling during my trip in Spain and how big of a problem was my breakup"
* "How would you judge my overall interactions with Marc after I told him about my problems"
the overall process is fire and forget. I just talk for let's say a minute every day or when there was something of interest.
Everything is stored on device. The AI inference is done with Zero Data Retention Endpoints. No email or anything else is kept, you are completely anonymous, I have no idea what or how people use this.
Otherwise journaling doesn't work. I can't say my secret thoughts when I know someone has a master key or can suffer a security breach.
I hope you enjoy the product as much as I do.

Discussion (12 Comments)Read Original on HackerNews
Two honest questions, since you built it for yourself first:
1. Are the entries plain files I can open and read without your app, or a database? For me that ended up being the whole point. If I can't read it without you, it's not really mine.
2. You say everything is on device, but inference goes to a zero-retention endpoint. Have you looked at running a small local model for the AI part? "Private" and "my text leaves the machine" are hard to hold together in one sentence.
Not a criticism, I hit the same wall myself. Nice project.
2) yes I tried it and it becomes so slow it's unworkable right now but in a future version totally possible. Gemma 4 needs an iphone 17 pro or similar to run in a normal timeframe and still it's slow and also the whisper-large is also very slow. it would also need to download some gigs of data. but that was actually the first version I built :)