Simulate thousands of matches to find overpowered cards
Advanced22h1–2
PythonPyodideECharts
16/20Adaptive Difficulty Engine
Keep players in flow by adjusting difficulty from their performance.
Advanced22h1–2 people16/20 fit
Build Adaptive Difficulty Engine for game developers in ~22h with 1–2 people. Stack: JavaScript + Phaser + Python.
Why it wins: Game design science.
Build flow
01 · Problem
Games are too hard for some and too easy for others.
02 · Solution
Track player performance signals, model skill and adjust enemy speed or puzzles smoothly, with designer controls.
03 · Build
- 1Collect signals
- 2Model skill
- 3Adjust parameters
- 4Visualise
04 · Demo
Show difficulty adapting for a weak and a strong player.
MVP checklist
- Skill model
- Smooth adjustment
- Designer limits
- Analytics
Tech stack
| Tech | Role | |
|---|---|---|
| JavaScript | Game / app logic | Web |
| Phaser | Game engine | Game |
| Python | Backend / scripting | Backend |
Reference repos
Open-source projects you can build on. Links checked 2026-10-31.
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