
LLM Leaderboard | Redactle
Compare language model performance at solving Redactle puzzles.
pampas · HN
Redactle LLM Leaderboard
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Compare language model performance at solving Redactle puzzles.
pampas · HN
Redactle LLM Leaderboard

Get AI-powered predictions and match analysis for football matches across major leagues and tournaments.
footballaipredictionking · Product Hunt
Football AI Prediction King Free AI football predictions and match analysis

Free, interactive simulation-based Agentic AI course for Product Managers. Master multi-agent DAG orchestration, FastMCP tools, Evals, deterministic verifiers, and governance. Prep
@manishprod · X
NOTCRM: Simulation-based learning for Agentic AI Product Managers. Interactive lab covering multi-agent orchestration, evals, governance, and observability.

Compare and use multiple LLM models in a secure shared team workspace with your own API keys.
@uncoolavatar · X

Compress prompts and reduce LLM token costs by detecting duplicate tool calls.
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache

Create games with AI in minutes. No coding required. Generate, customize, publish and share browser games instantly with GAMME AI — free for web, iOS and Android.
@gammeai · X
🎉 We’re celebrating our first 1,000 active creators on just 48 hours! Thank you to everyone turning ideas into playable games with AI. This is only the beginning. 🚀🎮 #GammeAI #AIGameGenerator #GameDev #AIGaming #IndieGameDev #VibeCoding

Flat-rate LLM subscription for coding agents — OpenAI-compatible API for OpenCode, Cline, Aider, Codex, Kilo, Claude Code and always-on agents like OpenClaw and Hermes. Frontier mo
@stdcmpt · X

OpenAI-compatible API for running open-weight LLMs and video models.
bingus-bongo · HN
Use GLM-5.3 in Cursor today via tokengo API

An LLM gateway for OpenAI, Anthropic, Google and Azure. Every request logged, priced to the token, and audited for waste you can actually recover.
@razdagan3 · X

Send your question to a panel of LLMs that peer-review each other and return one synthesized answer.
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree

Use one API to access and switch between LLM providers while optimizing inference costs.
justin2025 · Product Hunt
Auriko Trading desk for LLM calls

Compare latency and throughput performance across LLM API providers.
@QAInsights · X