
TokenPath — Citations, built for AI agents
为LLM输出提供token级引文API,通过注意力分析验证。
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention
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为LLM输出提供token级引文API,通过注意力分析验证。
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention

查看 LLM 成本数据,按模型和环境分类,获取优化建议。
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to

用对抗测试检查LLM端点安全,获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams

用WebAssembly在浏览器运行和管理LLM模型
userfrom1995 · HN
Goku – WASM (wllama)-powered LLM inference and model manager

@joovier_ https://t.co/keG2Rl4hD4 data analysis app. Check out
@MourynCher16712 · X
data analysis app. Check out

Ornymo通过语义缓存减少LLM查询成本和延迟。
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

使用Strava或里程表追踪山地自行车悬挂、传动和保养周期。
@GadgetsCars · X
Built a mountain-bike service-tracker with no accounts and no server-side data nothing to breach, I don't have your data. Garage stays on-device, cloud backup is encrypted on your phone before it leaves. Built with Claude behind a strict test+CI gate.

微调LLM、清理数据集,教授和删除自定义事实,获得密码学删除证明。
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at

发布股票、ETF和加密货币预测,在排行榜上跟踪结果,证明你的判断。
kkjh0723 · HN
I ran 12 AI bots predicting stocks for two months, every call public

提交网站获得每日速度排名和性能监控。
@thefastestweb · X
daily speed monitoring for indie sites. Submit your URL, get ranked on a public leaderboard, and know the moment your performance drops.

自动将提示词路由到最便宜的模型,节省API成本。
u/ASDKING100 · Reddit
Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified

检测LLM API是否被降智或偷换模型,一键跑6项探针得出结果
cocodot LLM 降智检测 — 免费的 LLM API「降智/偷换模型」在线检测:填入任意 OpenAI 兼容端点的 base_url 和临时 API Key,跑 6 项探针(模型声明、动态题、能力完整性等)生成分项报告;Key 仅用于当次检测、不落库不留存,检测方法[开源](https://github.com/cocodot2026/cocodot-llmprobe)