AI auto-boosts your smart strips before calls overload them.
Remote workers' unreliable smart energy strips trip during critical video calls, disrupting home office power stability.
StripShield uses AI to learn your devices' power signatures and preemptively throttles non-essentials during detected video calls. It integrates directly with strip APIs for instant adjustments. Remote workers get rock-solid power without manual tweaks.
Remote workers using smart energy strips to power home office equipment
Device-level AI throttling, not just monitoring—actively prevents trips.
friendly
Auto-learns power draw of each plugged device.
Listens for Zoom/Teams audio/video to trigger mode.
Reduces power to background devices during calls.
Scan QR on strip for instant connect.
Daily score of your setup's reliability.
Custom auto-boost times.
Coordinates with UPS for hybrid protection.
Alexa/Google integration for warnings.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| strip_id | text | No |
| name | text | No |
| avg_watts | int | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| type | text | No |
| timestamp | timestamp | No |
| action_taken | text | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| device_id | uuid | No |
| profile_data | jsonb | No |
Relationships:
/api/devicesRegister device
/api/profile/:deviceIdGet profile
/api/throttleTrigger throttle
/api/eventsUser event history
/api/stabilityCompute score
No audio detect
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 150 | 1.5% | $68 | $810 |
| Month 6 | 1,200 | 4% | $1,440 | $17,280 |
Friendly AI that smartly manages power so you don't have to.
Run Twitter poll on #WorkFromHome about power issues, link to waitlist. Offer free Pro to first 3 Reddit commenters in smart home threads. Email TP-Link forum users.
Wide hardware support
No automation intelligence
AI proactive throttling
Reliable basics
Manual only
Autonomous call focus
AI models trained on user device data improve with scale.
Boom in smart home adoption + hybrid work permanence.
Audio detection privacy concerns
Local processing only
Hardware dependency
Multi-vendor support
Success: 50 signups
Success: Trip prevention in tests
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