Feelink
An emotion journal that meets you where you are
Product Design · Psychology · AI-assisted build · 2025
What it is
A multi-modal emotion check-in built on Lovable, currently live at feelink-app.lovable.app. Three parallel check-in modes, Daily Self Check-In, Simple Mood Check, and Process a Trigger. Let users engage at the level their capacity allows on any given day. A research-backed feelings taxonomy, a guided 4-step tour, and a longitudinal statistics view sit underneath.
Problem
Most mood trackers ask 'how are you?' and accept a number.
Feelink guides you through the full emotional landscape, situation, body sensation, specific emotion, trigger, because a number between 1-10 doesn't capture what you're actually feeling.
Start with the situation, not the score
Where are you? What happened? Context comes before the label, because emotions don't exist in a vacuum.
A taxonomy of 80+ emotions
Not just happy/sad/angry. A research-backed emotion wheel that helps you name exactly what you feel, from 'wistful' to 'exasperated'.
Patterns across check-ins
Trends emerge: which situations trigger which emotions, how your baseline shifts week to week, where your emotional vocabulary is expanding.
Flow
A guided check-in
Check-in
Situation
Taxonomy
Stack & Tools
AI
design
code
infra
Next
Inner Light
Open question
Does separating what happened from what it meant change what people are willing to write down?
What the data shows
How far people get through the fact, feeling and body steps, and where the flow is abandoned.
What it does not
It cannot show whether the distinction helped anyone regulate afterwards.
More client and product design case studies at hannadevries.com