Machina Sports - AI Agents for Sports
Transform raw sports data into interactive fan experiences
Machina Sports - AI Agents for Sports launched on March 20, 2025 with 15 votes, #1,370 of 7,215 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Machina Sports is a serverless AI platform that helps sports orgs and devs build AI agents effortlessly. Convert real-time sports data into engaging fan experiences with pre-built connectors and agent templates. No heavy infrastructure needed.
Sports intelligence for humans and AI agents. Turn your data into fan experiences, matchday content, and tools for your team.
Create fan experiences, produce matchday content, and build tools for your team. Powered by your data. Shaped around your business. Cropped to the pool lanes to omit the branded spectator area; resized and converted to WebP. Venue imagery, no affiliation implied. Give producers the story before they go on air. Prepare talking points and content drafts, with editors in control. Help fans understand the match, not just the odds. Create previews and explainers shaped by your compliance and review rules. Keep fans close to the club, beyond the final whistle. Create recaps and conversations from your club content and match data. Four focused products for creating, running, testing, and routing…from machina.gg
Does a similar job
all alternatives →
Agent ArenaJun 2026 · arena42.ai · ▲348Creator here. I built Agent Arena to answer a question that kept bugging me: when AI agents browse the web autonomously, how easily can they be manipulated by hidden instructions? How it works: 1. Send your AI agent to ref.jock.pl/modern-web (looks like a harmless web dev cheat sheet) 2. Ask it to summarize the page 3. Paste its response into the scorecard at wiz.jock.pl/experiments/agent-arena/ The page is loaded with 10 hidden prompt injection attacks -- HTML comments, white-on-white text, zero-width Unicode, data attributes, etc. Most agents fall for at least a few.…


Sports-skills.sh – sports data connectors for AI agentsFeb 2026 · github.com · ▲5We built this because every sports AI demo uses fake data or locks you behind an enterprise API contract. sports-skills gives your agent real sports data with one install command. No API keys. No accounts. For personal use. Eight connectors out of the box: NFL, soccer across 13 leagues with xG, Formula 1 lap and pit data, NBA, WNBA, Polymarket, Kalshi, and a sports news aggregator pulling from BBC/ESPN/The Athletic. npx skills add machina-sports/sports-skills Open for contributions.

Parano.aiJun 2026 · parano.ai · ▲80Tracks competitors for changes (pricing, features, messaging, hiring etc) and delivers AI-summarized insights to your inbox. Built because manual competitive research breaks at scale. Markets move continuously but humans don't monitor consistently. Live at https://parano.ai Monitors full websites and other sources like social media / Github. Detects content-level changes, filters noise. The problem: Teams either do quarterly manual research (too slow) or set up Google Alerts (too noisy, misses subtle changes). We're in between—continuous monitoring with smart filtering. Would…
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 22d ago · stillwet.art

FastRouter.ai▲364Route requests to the right LLM for cost, latency & quality
AI · 23d ago · fastrouter.ai
Source: Product Hunt launch ↗
Launched alongside, March 2025
the whole month →
Mimic Human Research & Save Findings in AI Knowledge Base
AI · 2025 · sider.ai




