LORT Calculator — Stream 游戏 LORT 工具网站

海克斯小秘书 — 《英雄联盟》海克斯大乱斗（ARAM Mayhem）攻略站，选人前查 173 位英雄的实时胜率排行、六神装、技能加点和银/金/棱彩强化符文推荐，三源数据每晚自动聚合，中英日韩等 12 种语言，打开即用无需注册

@kitbasedev · X

We just launched, check us out at

u/mota_xlr8 · Reddit

Built a VOD review tool for Valorant esports fans/coaches — solo, ~8 months in vods.space lets you watch pro VODs with timestamped navigation, build playlists, and get ML-derived stats instead of just scrubbing through raw YouTube footage. Under the hood it's a CV pipeline (YOLO-based minimap detection) for round boundaries, ffmpeg for frame extraction, and Claude for generating tactical insights. Latest feature: natural-language search across your own playlists — you can de

@MBKariyawasam · X

ducntq · Product Hunt

zest.win AI-powered & ML-backed predictions for eSports Dota2/CS2/LOL

ephraimduncan · HN

Observability for Coding Agents and LLM Applications

@sidneycur · X

and 12 similar pay-to-rank leaderboards, compared by cost, traffic, and competition — synced daily from each site directly.

@BuildWithxAI · X

If you want to get a free backlink and also get more traffic for your mobile app you could add it on MobileMRR No paywalls!

u/sebriz · Reddit

I built an institutional NFL data terminal that audits 44 situational factors against 10 years of market data [Open Beta] Hey everyone, I wanted to share a side project I’ve been building called SeeBet.ai . As someone who loves sports data, I got tired of generic broadcast hype, sports betting "gurus," and subjective narratives about things like "revenge games," travel fatigue, or short rest. I wanted an institutional, zero-hype terminal that simply audits physical reality against market

u/ICARUS_2X · Reddit

Spent 7 months building a FOSS platform for natural-language chess analytics (No LLM) Hey guys, I've released CHONSE2, an open-source game review platform that offers unlimited analysis and move explanations without using hallucination-prone LLMs, running entirely in your browser. chonse2.com But Lichess is free, so why use this? Some have asked. It expands on Lichess's feature set a few different ways: Full analysis (accuracy/elo estimations/eval graphs, etc) requir

@runtimeriot · X

Scan your site for security vulnerabilities.