Productivity4 weeks ago
naistrip
Plan trips using AI to generate itineraries and travel plans in minutes.
jalonso · Product Hunt
naistrip Plan your trip with AI in seconds, not hours
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Plan trips using AI to generate itineraries and travel plans in minutes.
jalonso · Product Hunt
naistrip Plan your trip with AI in seconds, not hours
Add persistent memory and knowledge to AI agents with drop-in files, URLs, and native MCP integration.
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.
Web-based terminal multiplexer for running AI coding agents in parallel.
04mg · Product Hunt
Caw Open source web terminal multiplexer for AI agents
Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
Play Rock-Paper-Scissors against AI using your webcam in retro 90s pixel style.
@web3_key · X
用Claude AI 做了一个RPS经典游戏，结合了动态捕捉
Chat with multiple AI models to run deepresearch and coding tasks.
@Shekar77hima · X
run deepresearch, coding agents for free.
AI-powered team composition calculator for Dispatch game missions with 95%+ success rate.
Dispatch Calculator — Steam 上 Dispatch 这个游戏的计算器助手，帮助玩家针对不同任务进行分配人员信息。
Spin an AI-powered mystery box vending machine to randomly generate startup ideas.
@YBouzanaac92188 · X
grab an idea to vibe code and share with us some vibe coding secret sauce.
Compare and evaluate AI models across coding, reasoning, agents, and other benchmarks.
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities
Chat with AI models and visualize conversations as branching diagrams using OpenRouter.
two-sandwich · HN
BixRouter – a non-linear AI chat interface for OpenRouter
Test your prompt injection skills against AI agents in an interactive competitive challenge.
ibrahim_abdu777 · HN
We are giving away $100K > over the next 12 months to hack AI agents
Benchmark AI models by having them animate a 3D banana plant's full lifecycle.
fran-mora · HN
I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.