AI predicts and dodges floods/traffic so you navigate Africa's streets smarter.
Africans are numb to daily crises like floods and traffic jams, passively accepting dysfunction while waiting for government to fix everything.
ChaosNav uses user reports and AI to forecast disruptions, suggesting optimal routes and timings. Personal dashboard learns your habits, alerts on risks, and scores safe windows. Reclaim your day from unpredictable infrastructure fails.
Urban citizens and youth in African cities facing daily infrastructure failures like floods and traffic congestion
AI disruption prediction trained on African data patterns, with habit-based personalization beyond basic navigation apps.
edgy
Suggests disruption-free paths with ETAs.
Predicts jam/flood probability on routes.
Tracks daily commutes for auto-alerts.
Color-coded map with predictions.
Audio warnings during navigation.
Trends and tips reports.
Bike/bus/walk options.
Export routes to calendars.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| habits | jsonb | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| origin | text | No |
| destination | text | No |
| mode | text | No |
| risk_score | int | Yes |
| actual_time | int | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| trip_id | uuid | No |
| forecast_data | jsonb | No |
| accuracy | int | Yes |
Relationships:
/api/routesGenerate AI route
/api/predictions/:tripIdFetch forecast
/api/tripsLog trip feedback
/api/map/risksLive risk layer
/api/users/habitsUpdate habits
3 trips/day
None
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 250 | 1% | $93 | $1,116 |
| Month 6 | 2,000 | 2.5% | $1,850 | $22,200 |
Predict floods/jams, get perfect routes, own your commute.
Target commute-sharing Twitter influencers in Abidjan/Addis; free Pro to 100 M-Pesa users via SMS campaign; validate via Typeform in city ride-share groups.
Accurate global nav
Weak on Africa floods/unreported issues
AI tuned for local chaos prediction
Proprietary trip data trains unbeatable AI moat.
AI accessibility + urban migration exploding in Africa (UN projects 600M city dwellers by 2050).
AI accuracy low initially
Seed with synthetic data
Map data dependency
Multi-provider
User data privacy
GDPR-like compliance
Success: 300 emails
Success: 80% satisfaction
Success: 1k downloads
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