Information arrives in bursts — in photos, voice memos, meeting transcripts. Most task managers make you do the work of turning that chaos into a list. We think the AI should do that.
You leave a meeting with 12 action items. You remember 4 of them. The other 8 are buried in notes, a Slack thread, someone's email, or just gone. Traditional task managers were designed for a world where information is already clean — where you're sitting at a desk, ready to type things in carefully. That's not how work actually arrives.
Work arrives in a photo you snapped of the whiteboard. It arrives in a voice memo you recorded while driving. It arrives in a call transcript, a forwarded email, a scribbled sticky note. Lifafa AI is built to capture all of it — drop in anything, and it extracts every action item automatically, prioritizes them, estimates how long they'll take, and puts them in the right place.
Every product decision starts with one question: does this make capturing easier? If a feature adds friction, it doesn't ship.
AI is built in — no API key needed. Your data stays yours, protected by row-level security from day one. We don't sell your data, ever.
iOS, Android, macOS, and web. Built on React Native + Expo so every platform gets the same experience, no second-class citizens.
Hindi for "envelope"
An envelope holds the things that matter — letters, documents, important thoughts, and yes, cash — kept safe until it's time to act. It's a container of intention. That's exactly what this app is: a place where scattered ideas, meeting notes, and voice memos become organized action.
Growing up, a lifafa meant something important was inside. It carried weight — and, well, also cash. We wanted a name rooted in that. And honestly? That's the whole pitch: Lifafa AI saves you the two things you never have enough of — time and mental bandwidth. Less time buried in todos, fewer missed deadlines, fewer "oh no I completely forgot" moments. Not another productivity acronym. Just an envelope. Stuffed with clarity.
We're a lean team building fast and iterating based on real user feedback.
Interested in working on AI + productivity? Say hello.