
Football Trading Software & Workspace · FootyMonitor
FootyMonitor 是足球交易软件,具有压力图表、市场分析和赛中回测功能。
@KSertttttttt · X
完整作品展
技术栈
60 projects

FootyMonitor 是足球交易软件,具有压力图表、市场分析和赛中回测功能。
@KSertttttttt · X

获取跨主要足球联赛的AI预测和比赛分析。
footballaipredictionking · Product Hunt
Football AI Prediction King Free AI football predictions and match analysis

通过 AI 原生分析平台浏览 FC Zürich 比赛数据和球员信息。
@zerokn0wledge_ · X
hey @fc_zuerich I vibe-coded something for you at the beach today with my fren @claudeai Fable 5. let's talk. because I love you.


Model90 提供2026世界杯的AI足球预测、实时比分和赔率。
@kmlyyll · X
now speaks #MCP. Ask any AI agent about World Cup 2026 fixtures, team stats, or match predictions: Live data, not scraped guesses. Also shipped: Link headers, an #API catalog, #WebMCP, and a #Claude Code plugin. Made in Cambridge with a lot of love and passion.😍

基于统计分析预测2026年World Cup比赛比分。
@ryo_uit2606 · X
⚽ Just shipped my World Cup 2026 score predictor — vibe coded this whole thing! 🔮 Combines AI (Dixon-Coles model) + Eastern Feng Shui to predict match outcomes: trend, score, I-Ching hexagram, Five Elements jersey analysis... 🌐 Try it: ⚠️ Disclaimer: For entertainment & reference only. NOT promoting gambling in any form. Football always surprises! #WorldCup2026 #VibeCoding #WebDev #FengShui #AI #SideProject

用CompetitorSearch描述竞争对手,获得实时网络搜索的并排分析和档案。
@Wagner__kent · X
Good day Gainframe, built CompetitorSearch — describe your competitors, get a live web-searched side-by-side breakdown + full dossier on each. Selling it outright (Mistral+Tavily+Vercel, 156 visits/19 searches/10 users). Happy to walk you through it.

查看英超、西甲、意甲、德甲和欧冠的AI足球预测
@henryyayra321 · X
Check out what I just built with Lovable!

查看英雄联盟、CS2和Dota2职业比赛的AI胜率预测与赔率。
ducntq · Product Hunt
zest.win AI-powered & ML-backed predictions for eSports Dota2/CS2/LOL

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

基于AI的经济日历,预测股票、外汇、债券、大宗商品和加密货币的市场影响。
@yumbedinho20962 · X
Check out what I just built with Lovable!

用自然语言或 YACQL 查询 NFL 统计数据,生成可共享的表和图表。
u/Fun-Calendar8486 · Reddit
I am building yacdb.fyi, letting users ask natural-language questions about NFL data and turning them into queryable results. Yacdb.fyi goal is to allow users to construct questions about NFL data, think "Best 1st down conversion rate in 2025", and exposing a custom query layer on top (think SQL) allowing users to define their own queries to build data sets. They can chart in the app, using built in tooling, but can export the data as well if they want to use their own tooling. I am look