Predict solar power output 48 hours ahead to never miss a charge.
Digital nomads and remote workers experience unreliable power from solar chargers during cloudy weather, disrupting their work and device charging.
SolarSage uses hyper-local weather data and machine learning to forecast your portable solar charger's output during cloudy periods. Get personalized alerts for optimal charging windows and backup plans. Stay powered up without interruptions on the road.
Digital nomads and remote workers who rely on portable solar chargers for off-grid power while traveling in variable weather regions.
Solar-specific ML forecasts trained on nomad-submitted data, accurate to the hour for any location.
supportive
Generates 48-hour solar output predictions based on GPS and weather APIs.
Push notifications for best charging times and low-power warnings.
Calculates expected output from user-input panel specs.
Tracks past forecasts vs actuals for accuracy improvement.
Suggests cafes or rentals based on location during bad weather.
Sync forecasts across phone, laptop, and smartwatch.
Weekly PDF summaries of power reliability.
Alexa/Google Home commands for forecasts.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| location | text | Yes |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| wattage | int | No |
| battery_capacity | int | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| panel_id | uuid | No |
| predicted_output | int | No |
| date | timestamp | No |
| actual_output | int | Yes |
Relationships:
/api/forecastFetch user's forecasts
/api/forecastGenerate new forecast
/api/panelsCreate/update panel setup
/api/alertsUpdate alert preferences
/api/logsLog actual output
/api/users/meGet user profile
No history, no push
1 user
5 users
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 200 | 3% | $150 | $1,800 |
| Month 6 | 1,200 | 8% | $2,400 | $28,800 |
AI forecasts keep your devices charged through clouds—48 hours ahead.
Post detailed pain point threads in r/digitalnomad and r/vanlife with app screenshots, DM responders for beta access. Offer free lifetime Pro to first 10 signups who provide feedback calls. Target Twitter nomad influencers with solar setups via outreach.
Hardware integration
No predictive forecasts
Software-only, location-agnostic predictions
User-submitted actual output data trains proprietary ML models for superior accuracy.
Digital nomad boom (35M+), advanced free weather APIs, and falling solar panel costs amplify demand for reliability tools.
Weather API inaccuracies
Ensemble multiple APIs + user corrections
Low awareness of pain
Targeted Reddit/IndieHackers validation
Notification delivery fails
Fallback emails + webhooks
Success: 80% confirm issue
Success: 30% weekly active
Success: 5% paid conv
Success: 20% MoM growth
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