Community-powered alerts stop smart strip trips before your calls.
Remote workers' unreliable smart energy strips trip during critical video calls, disrupting home office power stability.
OutageBlocker crowdsources real-time stability data from users' strips to alert you of area-wide risks, auto-adjusting your setup during calls. It combines local monitoring with network intelligence for hyper-accurate predictions. Perfect for remote workers in unstable grids.
Remote workers using smart energy strips to power home office equipment
Crowdsourced grid intel + local action, creating network effects early.
supportive
Tracks your strip's power in real-time.
Zip-based warnings from nearby users.
Visual map of local outage risks.
Preemptively limits load on community alert.
Enhanced protection during scheduled calls.
Contribute safely to network.
Area power patterns over time.
For advanced users.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| zip_code | text | Yes |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| location_hash | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| zip_hash | text | No |
| timestamp | timestamp | No |
| severity | int | No |
| count | int | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| strip_id | uuid | No |
| watts | int | No |
| timestamp | timestamp | No |
Relationships:
/api/alerts/:zipLocal alerts
/api/heatmapRisk data
/api/strips/:id/logSubmit log
/api/auto-adjustTrigger adjust
/api/user-alertsPersonal alerts
No auto-adjust
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 250 | 1% | $75 | $900 |
| Month 6 | 2,000 | 4.5% | $2,700 | $32,400 |
Shared smarts for solo remote power stability.
Seed with 10 beta users from r/smarthome Discord, get their zips for initial data. Promote in local remote work Slack groups. Use zip-targeted Facebook ads.
Utility data
No home strips
Hyper-local crowd data
Enterprise focus
B2B only
Consumer network effects
Network effects: more users = better local predictions.
Increasing grid instability + smart device proliferation.
Low density areas
Fallback to local
Data privacy
Anon aggregation
Success: 80% interested
Success: 5 daily active
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