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genpark-minimax-alpha-beta-adversarial-search-skill

Autonomous Agent Minimax Adversarial Decision Search Engine with Alpha-Beta Pruning

Details

External ID
1362915661
Source
GITHUB
Company
—
Product
genpark-minimax-alpha-beta-adversarial-search-skill
Website domain
github.com
Launched
Sept. 9, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.14514476044068664
Tags
adversarial-search, agentic-ai, alpha-beta-pruning, game-theory, genpark-skill, minimax
Fetched at
Sept. 13, 2026, 5:48 a.m.
Updated at
Sept. 13, 2026, 5:48 a.m.

Enrichment

Theme
autonomous agent research and evaluation
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
minimax alpha-beta search skill for autonomous agents
Manually corrected
False

Could you build this?

Yes Minimax search with alpha-beta pruning is a foundational AI algorithm with abundant reference code and zero complex architectural dependencies.

Competitors

Other products that read as similar to this one — 1449 launches clear the similarity bar, closest 8 shown.

Attention rank: #923 of 1450 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 315 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a dev tools tool for Sales yet.