开发者工具1 month ago · 1 次试用
Targe — LLM security scanning & audit reports
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
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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
追踪您的应用中使用的 AI 模型，并在其被弃用前获得警告。
taylorgt · HN
Find every AI model your code calls and warn before it's retired
Convert PDF, DOCX, XLSX, CSV, JSON, XML, HTML, Images to clean Markdown optimized for AI Agents, RAG, and Vector DBs. 100% Privacy-First, In-Browser Conversion.
@13SahajChawla · X
For professionals to redact their client's sensitive informations before giving AI to process it & while converting any kind of document to a structured MD file. Better quality outputs, 100% privacy with on-browser local processing, and fully free!
Claim a US state as its Boss for as little as $1. The price goes up every time someone new claims it — keep it until someone pays more than you.
@StateBoss_com · X
I’m building StateBoss 👑 A live map where anyone can claim a US state, defend the crown, or vote for their favorite. Would love your feedback:
TrustPro is field service management software for home service pros. Estimates, invoicing, scheduling, dispatch, and payments from $29/mo — plus the only built-in customer vetting
@runnersdotfun · X
对比700+ Azure虚拟机在各地区的实时定价。
@honitec · X
做了一个每天自动刷新的模型定价 API 替代 LiteLLM，每天拉最新的推理定价 为什么需要「每天」？ 因为 AI 模型价格一周一变 3月 $8/M → 6 月 $3/M，半年跌了一半多 半年前到处喊 GPU 短缺 现在全员降价抢客户 估值故事讲的是稀缺 现实是价格比成本跌得快 这中间的落差，就是泡沫
为 AI 代理调用设置预算限制并自动阻止成本过高请求
@orvi_onethread · X
I am looking for beta tester. 😌
A page that asks visitors what they would pay for your product, and turns the answers into one number you can post: 23 people would pay $19+/mo — $437/mo of stated demand. Verified
@get_blunlock · X
I got tired of signups that meant nothing, so I built a page that asks for a price instead. You find out before you build, not after.
See where money is at stake before you spend. Free one-home Health Score, or landlord pricing: 2–7 fixed £350 Decision Review; 8+ five-property sample; quoted pilot. Indicative ran
@EranHertz · X
The path towards energy independence starts with knowing what is going on, what’s known and what’s missing.
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)