Wellness routines that adapt to your irregular remote schedule
Remote workers waste time and abandon healthtech apps that rigidly enforce 9-5 assumptions instead of adapting to irregular schedules, making consistent sleep, exercise, and wellness tracking impossible.
Rhythmly uses AI to analyze your calendar, self-reported energy levels, and historical patterns to dynamically generate and adjust wellness plans. It finds optimal windows for exercise, mindfulness, sleep prep and nutrition that fit around unpredictable client calls and deadlines instead of enforcing fixed times. Remote professionals finally achieve consistency because the system flexes with their actual life rather than fighting it.
Remote professionals and freelancers with irregular or flexible schedules (tech, creative, consulting)
Real-time schedule intelligence combining calendar data, energy logs, and AI to suggest perfect timing for wellness activities in chaotic schedules.
supportive
Detailed onboarding quiz to establish natural energy patterns and schedule preferences
Two-way sync with Google Calendar and Outlook to detect availability and work blocks
Creates and continuously adjusts weekly wellness plans based on current schedule
30-second daily check-ins that train the AI and surface personal correlations
Track wellness activities with no rigid times or punitive streaks
Visual analytics showing how schedule irregularity affects wellness metrics
Delivers reminders only during detected optimal windows
Pull sleep and HRV data from Apple Health, Oura, and Fitbit
Browse and adapt wellness plans from other remote professionals
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| clerk_id | text | No |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| chronotype | text | Yes |
| timezone | text | No |
| work_style | text | Yes |
| updated_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| logged_date | timestamp | No |
| energy_level | int | Yes |
| mood_score | int | Yes |
| sleep_hours | int | Yes |
| notes | text | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| week_start | timestamp | No |
| plan_data | text | No |
| status | text | No |
| updated_at | timestamp | No |
Relationships:
/api/calendar/syncSync and analyze user calendar for free blocks
/api/logsRecord daily energy and wellness log
/api/plans/generateTrigger OpenAI-powered plan creation or update
/api/dashboard/statsReturn personalized insights and charts
/api/habits/completeMark a suggested habit as completed
/api/profile/chronotypeSave quiz results and preferences
Maximum 3 habits
None
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 140 | 11% | $385 | $4,620 |
| Month 6 | 920 | 21% | $4,830 | $57,960 |
Stop abandoning rigid health apps. Rhythmly builds and adapts wellness plans around your real remote/freelance calendar.
1. Post detailed pain-point threads in r/digitalnomad, r/freelance, and Indie Hackers offering 6 months free for video feedback calls. 2. DM 40 remote-first creators on Twitter/X with a personalized 'I built this because existing apps failed me too' message. 3. Create a free 'Wellness Guide for Async Workers' lead magnet and promote via LinkedIn remote work groups and newsletters.
Strong gamification
Requires user to define fixed times
We automatically detect best times using your calendar
Excellent sleep metrics
No scheduling intelligence
Turns recovery data into calendar-specific action plans
Simple interface
No adaptation to irregular days
Dynamic plans that shift with your schedule
Proprietary dataset of irregular remote schedules paired with wellness outcomes that continuously improves the AI recommendation quality.
Remote and freelance work has grown over 300% since 2019 creating tens of millions of people whose schedules no longer match traditional 9-5 healthtech assumptions.
AI suggestions may occasionally be unrealistic
Combine rule-based constraints with LLM output and allow easy user feedback to refine future suggestions
Calendar permission friction
Build strong manual mode first and clearly communicate privacy protections
Solo developer scope creep on AI features
Define strict MVP scope with rule-based fallback before advanced AI
Success: Clear confirmation of schedule rigidity pain and $20+ willingness to pay
Success: 40% week-4 retention and average NPS above 35
Success: 400 signups and $1,200 MRR in first 14 days
Success: Reach $4,000 MRR with under $8,000 total spend
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