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resp-DaynAC

Neural-network anticheat for Minecraft PvP servers. Detects AimBot / KillAura by behavioral hit patterns using a dependency-free MLP written in pure Kotlin. Trains on your own server data. Targets 1.9+ PvP.

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GITHUB · launched Oct 27, 2026 · 32 upvotes (top 42%)

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Could you build this?

Partial A Kotlin Minecraft plugin that logs hit data and runs a small MLP is buildable. The hard part is labeled cheat data and tuning to avoid false positives on real players, which a solo builder can't easily get.

What it would actually take: Build a Paper/Spigot plugin in Kotlin that captures combat telemetry (hit timing, angles, reach, and click patterns) and runs a local MLP for classification. A real product needs labeled datasets of legitimate and cheating play, adversarial testing against evolving cheat clients, and careful false-positive management. Those require anticheat research experience and access to many server populations.

Competitors

Other products that read as similar to this one : 112 launches clear the similarity bar, closest 8 shown.

Attention rank: #47 of 113 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 281 days after the earliest competitor.

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