@mageofweb3 · X

@pengsonal · X

500+ Hugging Face models through a single free API no credit card just an email signup 😳 launched on July 3 as a unified gateway for Hugging Face models one API key one endpoint 500+ models what you get for $0: • 500+ open-source models through an OpenAI-compatible API • no separate API keys for different providers • works with Cursor, Claude Code, Hermes, OpenCode, and anything that supports a custom base URL • email signup only setup takes about 2 minutes: 1. Go to 2. Sign up with your email 3. Generate an API key 4. Set your base URL to 5. Choose any model from the catalog and start building a few things worth knowing: • is a third-party gateway, not an official Hugging Face product • the free tier is rate-limited, but the exact limits haven't been published yet • i wouldn't build production apps that depend entirely on a free aggregator what i like is the simplicity instead

Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替)，Synexa 是运行无服务器 AI API 最具性价比的解决方案，提供业界最具竞争力的 A100 GPU 价格，相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47

@erdemwrites · X

@MixRoute_ai · X

@xiaoheihei257 · X

📢 大消息！Gemini 3.6 Flash 和 Gemini 3.5 Flash-Lite 已经在 API 正式上线了！🚀 最近模型更新越来越频繁，这次 直接把两个新版本推出来，实际用起来感觉又进了一步。 先说 Gemini 3.6 Flash： 它是 3.5 Flash 的升级版，输出质量明显更好，但价格完全没变。最关键的是 token 消耗减少了大概 17%，遇到 DeepSWE 这种复杂代码生成任务，最多能省下 65% 的 token，成本直接降下来了，性价比很高。 再看 Gemini 3.5 Flash-Lite： 这是 3.5 系列里跑得最快、最省钱的那个，输出速度最高能达到 350 tokens/s。特别适合做高频任务，比如批量处理文档、Agent 实时搜索这些场景，用起来又快又稳，不会卡顿。 的模型生态现在越来越丰富了，两个新模型都支持官方 API 直接调用，开发者用着也方便。整体看下来，AI Agent 时代的底层支持又扎实了不少。 有在做 AI 项目或者日常调用大模型的朋友，不妨去试试新版本，体验应该会挺惊喜的～ @justinsuntron @BAI_AGI #TRONEcoStar

ShotAI — 一键生成多个 AI 模型的图片，方便对比效果

@StevenCen75554 · X

我们最新推出的 Product Hunt 上线了！ 专为电商团队而生，让你只需一句话，就能拥有一整支 AI 团队——写SEO Blog、做用户调研、优化Listing、生成AI短视频，全都不在话下。不用招人，不用在一堆工具间来回切换，只需要说出你想要什么。 专为想要「一个人打出一支团队的仗」的电商运营团队打造。 如果这个理念打动了你，今天的一个 upvote 对我们来说意义重大 🙏 #ProductHunt #BuildInPublic #AIAgents #IndieHackers

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.

AI Onekit — AI 聚合模型创作平台 - [更多介绍](https://aionekit.com/models)

@Aakashroy32 · X

@pedrolivaresan · X