Rate employers. Negotiate better. Advance your career.
Media workers at Burkina Info have endured unresolved poor social/professional conditions and exploitation by operator ANSAX for over 6 months, forcing them to publicly protest.
MediaMerit is a mobile career companion for Burkina media workers that lets them anonymously rate stations on working conditions, access tailored negotiation training, take short rights-based courses, and browse a job board that only lists fair employers. It solves exploitation by giving individuals leverage and clear pathways to better professional environments.
Media employees (journalists, technicians, support staff) working at private TV stations in Burkina Faso, especially the 30-person team at Burkina Info/ANSAX
The only employer rating system built exclusively on verified media worker experiences in Burkina Faso, paired with an AI negotiation coach that references real past outcomes from local stations.
professional
Rate stations on pay, hours, safety, and respect with evidence requirements
Practice negotiation conversations with AI using real station data
Short mobile-first lessons on labor rights and contract law
Curated opportunities from stations with good ratings
Build verified media portfolio to strengthen negotiating position
See anonymized compensation data by role and station
Semantic search across Burkina labor documents
Practice common media job interview scenarios
Map possible career moves based on current role and skills
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| role | text | No |
| experience_years | int | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| station_name | text | No |
| user_id | uuid | No |
| pay_score | int | No |
| hours_score | int | No |
| respect_score | int | No |
| comment | text | Yes |
| verified | bool | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| title | text | No |
| content_vector | text | Yes |
| duration_minutes | int | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| station | text | No |
| role | text | No |
| min_salary | int | Yes |
| rating_threshold | int | No |
| posted_at | timestamp | No |
/api/ratingsSubmit anonymous station rating
/api/coach/negotiateSend message to AI negotiation coach
/api/jobsGet filtered fair job listings
/api/search/rightsSemantic search over labor documents using vector embeddings
No AI coach, limited searches
None
Multi-user
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 150 | 13% | $487 | $5,844 |
| Month 6 | 820 | 19% | $3,897 | $46,764 |
Anonymous station ratings, AI negotiation training, and fair job opportunities for Burkina Faso media professionals.
Seed the rating database by offering free lifetime Pro accounts to the 30 Burkina Info protesters in exchange for detailed station reviews. Run a workshop with the national journalists association demonstrating the AI coach. Personally visit three other TV stations to recruit power users who will rate employers and test the job board.
Huge global review database
Almost no coverage of Burkina private TV stations or local labor context
Hyper-local, verified media-only data with AI negotiation tools built for the region
Rich, hard-to-replicate dataset of station ratings from Burkina media workers that improves both ratings accuracy and AI coach performance over time. Strong network effects as more ratings make the platform more valuable.
Post-protest awareness at Burkina Info has created demand for transparency. Growing middle-class media professionals are willing to invest in career tools. AI capabilities have reached the point where realistic negotiation coaching is now possible on mobile.
Stations may pressure employees not to rate them
Strong anonymity guarantees and evidence-based rating system
Accuracy of vector search on French labor documents
Start with human-curated content and iterate with real user queries
Success: Clear patterns emerge and users confirm data accuracy
Success: ≥50% of users complete at least one negotiation practice session
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