Bipolar Mood Tracker That Actually Understands Bipolar
Most mood trackers treat bipolar like a wellness trend. Steadyline tracks the clinical signals that matter — mood, energy, sleep variability, irritability, and psychomotor changes — because that's what predicts episodes.
Why most mood trackers fail for bipolar
General mood trackers like Daylio ask you to rate your day on a smiley-face scale. That works for tracking general wellness. It doesn't work for bipolar disorder — where you can feel great and still be three days into a hypomanic episode.
Bipolar requires tracking multiple dimensions simultaneously: mood polarity, energy levels, sleep duration and variability, irritability, psychomotor agitation, and medication adherence. These are the signals your psychiatrist actually uses to assess your stability.
What Steadyline tracks
- Mood — not just happy/sad, but the full bipolar spectrum including mixed states
- Energy & psychomotor activity — the physical restlessness that signals hypomania before mood changes
- Sleep duration & quality — research shows sleep variability predicts episode onset with sensitivity above 0.90
- Irritability — often the earliest warning sign, missed by every other tracker
- Stability score — a composite metric that shows whether your baseline is holding
- Medication adherence — track what you take, when, and correlate with mood patterns
AI that finds what you'd miss
Steadyline's AI analyzes your data across all dimensions to detect patterns you wouldn't catch through self-reflection alone. Sleep dropping 30 minutes for three consecutive nights? Energy climbing while mood stays flat? These are the subtle shifts that precede episodes — and the AI flags them before you notice.
Research from Ortiz et al. (2025) shows that day-to-day sleep variability is more predictive of episode relapse than total sleep hours. Steadyline is built on this kind of evidence.
Reports your psychiatrist can use
Your psychiatrist has 15 minutes. You have weeks of data to convey. Steadyline generates clinician-ready reports that summarize your mood trends, sleep patterns, medication adherence, and stability scores — so your appointments focus on decisions, not data entry.
Built by someone who needed it
Steadyline was built by Ravi Mishra, a software engineer living with bipolar disorder. After years of trying every tracker on the market — Daylio, eMoods, spreadsheets, paper journals — none tracked what actually mattered. So he built one that does.
Related reading
Try Steadyline free for 30 days
Track mood, energy, sleep, and stability with AI pattern detection. Clinician reports included.