
FlexInference: Drop your AI costs today
跨多个提供商路由 LLM API 请求以降低成本并满足延迟目标。
Aperswal · HN
Made a Free LLM Router
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跨多个提供商路由 LLM API 请求以降低成本并满足延迟目标。
Aperswal · HN
Made a Free LLM Router

可视化语言模型在各层回答前的思考内容。
ada1981 · HN
I built a web tool to see and edit what an AI thinks before it answers

让AI模型通过3D动画展现香蕉植物的完整生命周期来比较性能。
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.

通过 RavenGate 网关路由 LLM API 流量,追踪成本、分析延迟、隐蔽 PII。
charltonraven · HN
RavenGate – LLM gateway that redacts PII across SSE chunk boundaries


DWS是LLM驱动的新闻聚合器,实时显示热门故事。
tdubey · HN
DWS A LLM Generated, "Drudge Report" style news site

通过统一接口比较和使用多个大型语言模型。
u/DanTahirCode · Reddit
I built an open source coding agent with a personality - meet Klenny Code 🐾 Hey r/SideProject, my name is Dan Tahir, and I'm here to show off something I'm really proud of: Klenny Code, the open source coding agent with personality. A fully capable coding agent with memory and cross-project referencing, plus an assistant who can read your email, run scheduled tasks, pilot your browser, and be your corgi pal. Here's the pitch: bring your own OpenRouter API key, and Klenny wil

浏览公众对主流AI模型的真实评价和基准数据。
u/TasteMysterious5285 · Reddit
I built AI Census, a live field bulletin for how people are actually talking about AI models I’ve been building AI Census, a public “field bulletin” for how people are talking about current AI models. I kept running into the same problem: benchmark tables tell me how a model performs on a test, but not whether people are actually finding it useful, frustrating, reliable, etc. So I built a rolling view from public technical conversations across Reddit, Hacker News, Bluesky, GitHub, and Huggi

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

跨14个维度分析Python代码,检测违规并提供详细报告。
@KSFirasa · X
Hello! I built a tool that profiles code (python only atm) across 14 dimensions detecting violations and capabilities outputting a full report. A bit more nuanced than "AI-powered insights". Free while in beta. Thank you!

追踪目标和失败的LLM智能体,跨会话保存状态并展示每步推理。
u/OGMYT · Reddit
I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis

@solopribuilds https://t.co/KIq3TZFnPv I'm vibe coding thermodynamic computing. So far I have llama running in sim replacing traditional softmax with boltzmann distribution samplin
@paul_s_1738 · X
I'm vibe coding thermodynamic computing. So far I have llama running in sim replacing traditional softmax with boltzmann distribution sampling across a p-bit array. Im building a local research ecosystem too using qwen.