Founder Micro-SaaS • Case Study
DevCogna
An Interview training platform that measures accuracy and response time, maps performance to patterns, and generates targeted reinforcement.
Overview
DevCogna is a interview training platform targeted primarily towards graduate/junior developers. Instead of just showing questions, it measures performance (accuracy + response time) and maps results back to patterns so users can train weaknesses intentionally.
Problem
Most interview prep tools optimise for volume, not improvement. Users grind questions without a clear feedback loop. DevCogna’s goal is to make progress measurable by tracking attempts and linking weaknesses to pattern-based reinforcement.
Core Loop (Telemetry → Reinforcement)
Users attempt questions, DevCogna records correctness and response time, then updates a weakness profile for each pattern. Flashcards and recommended drills are generated from this data — creating a closed loop for improvement.
Next Steps
Complete authentication, implement attempt tracking end-to-end, generate pattern dashboards, and build the reinforcement engine (flashcards + weak-pattern drills). Then validate the feedback loop with early users.