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个人 AI 助手，通过 magic-link 快速注册，支持多渠道接入，按月计费。
@atbigthumb · X
very good for prediction markets
免费的 API 测试、监控和分析平台，提供实时洞察。
@SajidAbuba74138 · X
A tool for developers
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
查看和读取 Akash Network 去中心化计算网络中的节点数据。
@ConnorBuil9kpt · X
Node Readout For Akash Network
根据需求自动生成测试用例和脚本。
@SEOexpertpkk · X
AI-Driven Test Automation Platform
在浏览器中直接测试OpenAPI端点、对比规范、生成模拟数据。
@_codewithshahid · X
AI研究和外联代理，生成高度个性化的冷邮件。
@Aryan_2190 · X
Hyper Personalized Outreach for B2B
用 AI 驱动的模拟考试和闪卡学习 NEET 生物学。
@devjedi404 · X
I'm currently working on PrepPilot an AI-powered platform for NEET preparation. Added around 8k questions in total. The entire process was tiring but learnt a lot. For now you can access PrepPilot here :
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.
统一一个API接入200+个AI模型，包含Claude、GPT等，支持自动故障转移。
@MixRoute_ai · X
