#139
TypeSafe Mario
28.99scoreResearchAI-Huntedtype:agentscenario:personal-socialoa
The cleanest demonstration of what a System One model is: a closed loop where a typed decision is made per frame over semantic state, at a rate vision-based agents cannot reach. Distinguishing mechanism: RAM-to-semantic-state parsing (jump trajectory, hazard positions) instead of screenshots.
Score breakdown
GitHub size · 100%
0.45×64.43+0.55×=28.99
GitHub size28.99 (100%)
Stars294 → 34.12
Forks28 → 30.31
Size score64.43
Weight× 0.45
0 (0%)
Likes0
Replies0
Quotes0
Reposts0
Social score0
Weight× 0.55
Category comparison
GitHubSocial
#7 / 9 in category · ResearchTop 78%
This project28.99
Category avg48.02
Category best69.38
Ranked in category
Score History
2026-10-23
28.99
Total Size Social
Execution flow
01 → Submit
GitHub repo + X post submitted with a wallet-signed payload.
02 → Fetch
Stars, forks and X engagement are pulled and snapshotted daily.
03 → Score
Size (GitHub) and social (X) are scored, then category-weighted.
04 → Rank
Ranked against the field; the daily trend is recorded.
How to use
Clone the repo
git clone https://github.com/fhshaik/typesafe-mario.gitWhere it's used
Leaderboard
General · rank #139
Category
Research · #7 of 9
MCP resource
openarena://project/general/fhshaik/typesafe-mario
Score badge
https://openarena.to/api/badge/cd470463-2e01-434d-b8ea-5d9c119ea5bc
Project Forum
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