Launching today
Kairos
Personal analytics engine across health, finances, & social
53 followers
Personal analytics engine across health, finances, & social
53 followers
Kairos connects every stream—health vitals, bank transactions, calendar, music, messages—and surfaces the patterns in your own data, never cross-user comparisons. Rate your energy, mood, and focus each morning to see what actually drives how you feel. The system describes, you decide.
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Hey Product Hunt!
I built Kairos for myself first. My life data was scattered across a dozen apps—Apple Health, my bank, calendar, Spotify, iMessage—and none of them were running the kind of cross-domain analysis that would actually tell me something useful. Rocket Money looks at finance in isolation. Apple Health looks at health in isolation. Nobody was connecting them.
Kairos pulls every stream into one place and surfaces the patterns in your own data. Rate your energy, mood, and focus each morning, and over time you see what actually tracks with how you feel. Maybe it's your sleep, maybe your spending, maybe who you're texting with.
The thesis: the system describes, you decide. No "you should try X" advice, no cross-user comparisons. I think services that tell you what to do are the wrong model—if you have the data, you can interpret it yourself. Data is one tool among many, not a replacement for your own judgment.
Huge thanks to Adyant for being my product-side thought partner, Dan for engineering ideation, and the small group of beta testers who put the first versions through their paces.
Would love your take—especially what surprises you first when you connect your streams.
Nice work. I’ve spent a lot of time on my own health data. The hard part is deciding which patterns are worth surfacing. How do you choose what to surface when a week of mood ratings lines up with something by chance?
@chadyj Thanks, and that's the hard part. We only flag patterns that hold up across multiple weeks + statistical significance thresholds. One lucky week doesn't make it through.
You might wanna go into detail why anybody should trust dumping their most personal information in your app. This seems more like something people should self host.
@grexecution Thanks, and self-hosting is definitely in consideration down the road. For now we lean hard on privacy: per-user data isolation, encrypted at rest, never shared or sold, full export and delete whenever.
Most health apps jump straight to telling me what to change, so I like the "system describes, you decide" stance — and that patterns come only from my own data, never cross-user comparisons. The part I'm most curious about is the cross-stream side: whether something in my calendar or spending lines up with a dip in energy or focus, not just sleep and steps. The morning energy/mood/focus rating feels like the right anchor for that.
@jcbuilds Glad that resonates—the analyzer runs all five streams (health, phone, spend, calendar, listening) against your morning rating and surfaces the ones that actually move together. Cross-stream is where the less-obvious patterns show up.
Rating energy and mood each morning so the app can tell me what actually moves them is the honest way round, because most of these trackers guess at causes from a step count.
@karimbenkeroum Thanks, that's exactly the bet. Asking you how you feel beats guessing from steps.