
Football AI Predictions, 2026 World Cup Picks & Match Analysis
获取AI足球预测与多联赛比赛分析。
footballaipredictionking · Product Hunt
Football AI Prediction King Free AI football predictions and match analysis
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获取AI足球预测与多联赛比赛分析。
footballaipredictionking · Product Hunt
Football AI Prediction King Free AI football predictions and match analysis

Rank 405 AI models by independently measured capability, then compare what they actually cost across 50 providers. 92% of the market is a strictly worse deal than something else on
@LenvanderHof · X
My builder stack: for structured reasoning, for focused mind sessions, for books and projects, and for independent AI model quality-and-price intelligence. Let's connect

A social prediction market: forecast real-world events in politics, sports, finance and culture with play money, alongside creators you follow.
@opinion_kings · X

在OpenVibeEval中对比不同AI模型生成前端代码和可访问性评分。
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •

用AI分析和追踪竞争对手的策略和动向
@NateDenisal · X
Working on a competitor intelligence platform,

对比 AI 模型在编码任务上的表现,支持成本追踪和 ELO 排名。
@intheworldofai · X
On the World of AI Bench (vibe-coding composite): Claude Fable 5 → 85.2 GPT-5.6-sol → 82.4 kimi-k3 → 81.5 Moonshot’s K3 just walked in and claimed bronze on one of the toughest coding-focused leaderboards out there.

为AI应用提供MCP服务器、REST API和行级安全的后端服务平台。
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

Echo – Fable-level results at 1/3 the cost using open-weight models
adam_rida · HN
Echo – Fable-level results at 1/3 the cost using open-weight models

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

One bundle. Three independent judges. Reproducible rankings.
@Imranmohsin18 · X
sites I’m working on: Please check out and give me feedback all are public showcasing my skills :D ( not selling anything atm )

支持MCP客户端集成的AI原生网站分析工具,Google Analytics替代品。
@cdd56656 · X
which helps you know your website user traffic inside your agent
