Launching today
Life by Synheart
An Ai Companion app built to actually understands you
59 followers
An Ai Companion app built to actually understands you
59 followers
For decades, technology has understood what you type. Today, it starts understanding you. Life is the first cognitive wellness app, built on top of Synheart's Human State Interface infrastructure. It learns from how you type and reads your biosignals, then shows you how you're actually doing across your focus, stress, and recovery. Ask syni, your AI companion why your focus is dropping, or when you're usually at your best, and it answers from your real patterns.
Hey Product Hunt 👋 I'm Israel, founder of Synheart.
We built Life to answer a small, maddening question: you end a week feeling wrecked and have no idea why. Most wellness apps just ask you to guess — in a nicer interface.
Life doesn't ask. It reads two signals passively. How you type — rhythm, pace, focus stability, never the content of what you write — and your biosignals from a wearable. Together they give you an honest daily read on focus, stress, and recovery, without logging a thing.
Yes, we know how that sounds. So to be clear: it's not a keylogger. We never see your words — only the timing patterns. We're early, and we're still validating how well those patterns map to your state — I'd rather tell you that than hand you a number I can't stand behind yet. It all runs on your device. We don't read what you write, and we don't sell your data. That's how it's built, not just what our policy says.
Syni, the companion inside Life, already sees your state before you speak to it. So when you ask "why has my focus been dropping," it answers from your actual patterns — not a script.
I'll be here all day. Product questions, hard questions, skeptical ones especially — those are the ones I want.
Would love your feedback 🙏
@isrugeek How does it tell the difference between me being stressed and just typing fast because I'm in a hurry?
@yoseph_gebeyehu73 Fair question — it's the one I'd ask too.
The short answer: speed alone tells us almost nothing. The shape does. Being in a hurry and being stressed both make you type faster, but they don't look the same underneath. Hurried-but-fine typing stays smooth and evenly paced. Stress shows up as variance — inconsistent gaps between keys, micro-hesitations, more backspacing and mid-word corrections. And we read it against your baseline, not a universal threshold, so it's your normal we're comparing to, not everyone's.
Then the wearable is the tiebreaker. Fast typing + steady heart rate and normal HRV = you're just moving quick. Fast typing + elevated HR and suppressed HRV = actual stress. One signal guesses; two either agree or they don't.
Honest caveat: we're early and still validating how tightly these map for everyone. So that's how it's designed to tell the difference — not a solved accuracy number I'd hand you yet. If you try it and it misreads a hurried moment as stress, that's exactly the feedback I want.
@isrugeek Thanx for your response.
@isrugeek Does the desktop version read the same signals as mobile, or is it just a viewer?
@enochcodes Both, and honestly desktop is where it shines. Life runs on phone and desktop, and the desktop version reads the same signals — your typing patterns — just like mobile.
If anything it's the more powerful side: you type way more on a computer than a phone, so there's a richer, more continuous signal to read from. More keystrokes, more context, a sharper picture of your focus and stress through the day.
So it's not a viewer bolted onto the phone app — it's a full sensing surface in its own right. Use either, or both and they sync
Do I need a wearable for this to work, or does it do its thing on its own?
@yabetsz Nope, you don't need one. Life works on typing patterns alone — that's the core, and it runs fully on-device without any extra hardware.
The wearable is a boost, not a requirement. When it's there, your biosignals and your typing cross-check each other and the read gets sharper. When it's not, we lean on your typing patterns against your own baseline. Both work independently; together they're stronger.
So: install and go. Add a wearable later if you want the higher-resolution version.
the typing pattern thing feels kinda eerie at first but honestly the focus insights actually matched what i was feeling, syni explained why my focus dipped during a meeting and it made sense
@necatigayr32510 We hear "eerie at first" a lot, then it clicks once the read actually matches what you felt. Really glad Syni's explanation held up for you. Thanks for giving it a real shot.
The typing pattern detection is surprisingly accurate, and syni actually gave me a real reason my focus dipped yesterday instead of generic advice. Kinda wild that just from how I type it can tell when I'm fried.
@ecea0ty This is the part we're proudest of, Syni answering from your actual patterns instead of a generic script. Glad it gave you something real to work with. Thanks for the kind words
the typing insight is kind of wild, it actually noticed when i was pushing through fatigue before i did
the fact that it picks up on typing patterns feels almost uncanny, noticed it flagged a stressful morning before i even opened the app
@sametgnelwoiv That's exactly the moment we built this for, the read that shows up before you've even opened the app. Really glad it caught that one. Thanks for trying it out
Can other developers build on the Human State Interface, or is it just powering your own apps for now?