
LLM Leaderboard | Redactle
对比语言模型在 Redactle 谜题上的表现排名。
pampas · HN
Redactle LLM Leaderboard
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技术栈
13 projects

对比语言模型在 Redactle 谜题上的表现排名。
pampas · HN
Redactle LLM Leaderboard

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

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.

在安全的共享团队工作区中比较和使用多个LLM模型,使用自己的API密钥。
@uncoolavatar · X

通过检测重复工具调用来压缩提示词并降低LLM令牌成本。
@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

开源LLM和视频模型的OpenAI兼容API
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

向多个前沿大模型提问,获得经过同行评审的综合答案。
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

使用一个 API 访问和切换多个 LLM 提供商,同时优化推理成本。
justin2025 · Product Hunt
Auriko Trading desk for LLM calls

对比多个LLM API提供商的延迟和吞吐量性能。
@QAInsights · X