@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

@YKoltashev · X

adam_rida · HN

Echo – Fable-level results at 1/3 the cost using open-weight models

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

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)

@AsphaltCowb0y · X

My trucks kept breaking. That’s the origin story. No garage, no shop room. A fleet of semis that wouldn’t stay running, and me trying to figure out why before the repair bills ate the month. So I built with Claude Code. It worked. Then I hit the wall every builder hits: I needed more compute than I could afford. Started Intent Solutions IO LLC, got accepted into the Google Cloud startup program, and got a pile of credits. Sat on them for months because I didn’t want to burn them on something dumb. Then Claude Code plugins shipped. Then skills. I bought for twelve dollars. Twelve. Then Anthropic shipped skills, so I grabbed Then Cowork, so I grabbed that one too. All three now point at I was still driving to make the bills. Kids’ soccer doesn’t pay for itself. Still driving today as I type via voice to text. Today that’s 470 plugins, 3,068 agent skills, 347 agents, 49.9K installs, 2,593 sta

@Sunkanmii27 · X

@developerpranab · X

YantrikDB: mountable knowledge for local models. A 4B scores 7/53 on the MCP spec published this week; 42/53 with the pack mounted. No retraining.

@8DavideRighini8 · X

u/kaneki0dd · Reddit

Built SignalBoard a $15/mo Canny alternative for feature voting & roadmaps Been building this because Canny charges $79/mo for something that should be simple: let users vote on features, show a public roadmap, ship a changelog. https://preview.redd.it/h2x588h0n8dh1.png?width=1200&format=png&auto=webp&s=c5a4e15c59008ee67b495b7c35e1350d314e257b What it does: Feature voting — verify once, vote with one click after that AI duplicate detection — catches near-identical

fristovic · HN

She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol

@spectragai · X