Benchmark your sleep against other remote pros
Remote workers' irregular sleep patterns caused by flexible WFH schedules disrupt their health, as sleep trackers fail to adapt to non-standard sleep times.
ShiftRest tracks your irregular sleep via simple inputs or wearables and compares anonymized patterns to a database of remote workers for personalized benchmarks. It identifies your unique 'normal' and suggests micro-adjustments. Gamified streaks reward consistency despite flexibility.
Remote workers with flexible or irregular WFH schedules
Remote-worker-specific benchmarks reveal what's healthy for non-9-5 lifestyles, not general population norms.
friendly
Quick mobile/web entry or wearable auto-log.
Compare your patterns to similar remote workers.
Charts showing sleep debt and recovery vs. peers.
Earn points for consistent flexible sleep goals.
AI-generated tweaks based on benchmarks.
Optional anon challenges with others.
PDF summaries for doctors/coaches.
Night-friendly interface.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| work_type | text | No |
| streak_count | int | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| log_date | timestamp | No |
| duration_hours | int | No |
| quality | int | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| work_type | text | No |
| avg_duration | int | No |
| avg_quality | int | No |
| updated_at | timestamp | No |
Relationships:
/api/logsSubmit sleep log
/api/benchmarksFetch peer benchmarks
/api/trendsUser trend data
/api/streaksUpdate streak
/api/tipsGenerate tips
7-day history
None
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 150 | 4% | $180 | $2,160 |
| Month 6 | 1,200 | 7% | $2,520 | $30,240 |
ShiftRest benchmarks your irregular WFH sleep against real remote workers for actionable insights.
Share MVP in r/digitalnomad and r/freelance, target threads on sleep struggles. Offer free Pro for reviews. Use Twitter polls on WFH sleep to engage and convert top responders.
Science-backed
Corporate focus, rigid chronotypes
Remote-specific data
Growing dataset of WFH sleep patterns creates data moat.
Remote work stabilized at 30% workforce; sleep tech maturing with AI.
Users don't log consistently
Gamification + reminders
Benchmark privacy
Anon aggregation only
Success: 70% willing to log weekly
Success: 75 signups
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