Getgud.io – Server-Side cheater and griefer detection in Real-Time

Hacker News

Hi HN! I'm excited to share Getgud.io – we use AI to detect cheaters and griefers in real-time, helping game developers make their games toxic-free and improve player retention. What Getgud.io does: - Real-Time Cheater & Griefer Detection: Our AI analyzes in-match player behavior to identify and flag cheaters using aimbots, wallhacks, speed hacks, and more. It also detects toxic behaviors like team killing, spawn killing, boosting, and surfing. - Complete Observability: Get insights into everything happening in your game matches, including weapons used, maps played, character stats, and player actions. - Automated Actions & Alerts: Define rules and actions for any player behavior. Automatically ban cheaters, adjust player reputations, or receive notifications based on criteria you set. - Game Analytics: Understand player behavior with analytics on weapon/character popularity, map trends, loot drop optimization, and match balance. - Match Recording & Replay: All matches are recorded and visualized, allowing you to replay and analyze any game to see exactly what happened. - Easy Integration: Our solution is entirely server-side with no client-side code needed. We offer integrations for Unity and Unreal Engine 5 as well as SDKs in multiple languages (C++, C#, C, Python). We support all FPS and MOBA games across all platforms, including web, mobile, and console. Why we built it: As gamers, we know how challenging it is to keep games fair and enjoyable. Cheating and toxic behavior ruin the player experience and hurt player retention and the game's reputation. We wanted to create a tool that empowers developers to maintain a healthy gaming environment effortlessly. Get started: - Learn more about Getgud.io: https://www.getgud.io/ - Detailed integration guides and SDK documentation are available on our GitHub: https://github.com/getgud-io/getgud-docs - Some detection videos: https://www.youtube.com/@getgud_io We'd love your feedback! - Feel free to ask any questions or share your thoughts. Your feedback is incredibly valuable as we continue to improve Getgud.io. - Looking forward to making games better together! Stop cheating, Getgud!

Visit product View on Hacker NewsSep 26, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: visual, using, code · Missing: mac, agents, macos

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Hacker NewsStrong engagement from HN community · Strong signals: excited, lua, ide · Missing: https docs, just released, exist

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, visualize · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

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BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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