开发者工具1 month ago
加入 MODELOC 算力池
检测API中转站输出是否与官方100%一致
@nodeloc_cc · X
🌈 7月，你好，MODELOC上线算力池。 MODELOC自上线以来，已检测2000余次，覆盖600+中转站，为众多AI用户提供的使用参考。 MODELOC近期进行了改版，上线了算力池及市场。 加入算力池 查看帖子： 用 MODELOC 便宜地调各家大模型：一次讲清它的价格体系
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检测API中转站输出是否与官方100%一致
@nodeloc_cc · X
🌈 7月，你好，MODELOC上线算力池。 MODELOC自上线以来，已检测2000余次，覆盖600+中转站，为众多AI用户提供的使用参考。 MODELOC近期进行了改版，上线了算力池及市场。 加入算力池 查看帖子： 用 MODELOC 便宜地调各家大模型：一次讲清它的价格体系
Answer guided questions about your business and watch your model build live. Get an investor- and lender-ready spreadsheet in about 20 minutes.
@YKoltashev · X
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
诊断OpenAI兼容API的模型质量、降智与协议兼容性。
AI快站模型质量检测 — 面向 OpenAI Compatible 接口的网页检测工具，输入公开 HTTPS 地址和临时 API Key，可检查模型声明、Token、动态题、SSE 与工具调用并生成分项报告；密钥仅用于当次检测，不写入数据库、缓存或日志
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)
Compare today's leading AI models by price, intelligence and more.
@spectragai · X
Ten recurring problems usually share one root. The One Fix names it: 3 minutes, one fix.
@yashasvishailly · X
Founders, find the one underlying pattern underlying all that noise
Flintra AI — lock one model or brand mascot and shoot your whole catalogue with the same face. Or the product alone, with no one in the frame. First shot free.
@FlintraAI · X
— one AI model, your whole product catalogue. Same face in every shot
V2Fun：从图像或文本生成3D模型、角色和动画
zaczuo · Product Hunt
V2Fun Generate 3D character with 8K textures and AI motion capture
Create realistic AI videos and images with connected models. Pay only for what you generate — no subscription.
@LDT0545 · X
im killing higgsfield and makeugc , for both you need to pay subscription and with some you dont even have acces to seendance 2.5 , with you pay what you use
观看并浏览 AI 生成的短视频。
@botsnips · X
Check out our AI only shorts
在发布前检查AI生成内容中的错误和安全问题。
u/Brief_Dust8845 · Reddit
I pivoted from my initial idea after realizing I was solving the right problem at the wrong time When I started building GaaS Guard, it was an AI governance tool for companies. The idea was to help organizations defend against prompt injection and unsafe AI interactions. It was technically interesting, and I still genuinely believe I was solving a real problem. The problem was, it just wasn’t selling—to be brutally honest. Here’s how I actually ended up pivoting. I started using a b