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24 projects


为精英门将打造心理韧性的90天问责训练计划
@J4KHQ · X
Check out what I just built with Lovable!

浏览NFL、NBA、MLB、NHL和NCAA各赛季的历史排名。
@RedBarSystems · X
I have the vibe coded website. Where are my six figures?

SeeBet.ai:查看NFL博彩赔率、盘口变动和十年回测数据的分析工具。
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

AI-powered sports predictions and analysis platform
@betriqAI · X

运动智能API,为AI代理设计,无需注册试用,提供Claude/Cursor/Copilot集成和现成提示词。
NOpderbeck · HN
Lumify – sports intelligence API for agents (try without signup)

构建Pokémon竞技队伍,实时分析属性克制和弱点。
u/cryptoinmymind · Reddit
I built a free Pokémon Team Builder with damage calcs, threat analysis, and a built-in smart coach, supports all 1,285 forms across 9 languages Hi, wanted to share something I've been working on for a while now. pokemonteambuild.com It's a team builder that actually analyzes your team as you build it; not just type coverage, but real damage calculations, threat analysis against the current meta, speed tier comparisons, and an AI coach that tells you what's wrong and how to fix it. Y

使用开源浏览器工具分析象棋游戏,获得自然语言解释,无需登录。
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
在一个屏幕上跟踪冰刀磨削和管理客户忠诚卡
@daveko · X
Built my first app: SkateTracker—a simple way for skate sharpening shops to track customers and sharpening history. Waitlist:

Hobbit 青少年足球AI教练,设计训练课程、绘制战术、管理球队。
Hobbit — 青少年足球教练 AI 智能体。核心目标是培养小球员的"球商"。教案设计、战术图绘制、球队管理、球员肖像卡、海报、比赛报告一站搞定。免费起步,聊天免费,支持 8 种语言

Data-backed sports intelligence using live fixtures, form, odds movement and risk scoring for smarter sports selection with high win rate. Every result tracked openly.
@fidelisozuawala · X

盲测猜谁是画手:对比由不同AI模型生成的鹈鹕SVG插图
u/Visby7 · Reddit
I Made a Website Where You Guess Which AI Model Drew The Pelican I tried building a guessing game The idea came from Simon Willison’s “pelican riding a bicycle” benchmark. You see two drawings and a model name, then guess which one that model drew. Everyone gets the same 10 daily questions. There’s also an Arena where you vote for your favourite drawing with the model names hidden and see how everyone else voted. https://beakmark.amapofwhat.workers.dev/ submitted