cdnsteve · HN

Tokenstead, find AI models for your hardware

AI Undetect — 能绕过 AI 检测器的、生产不可检测内容的人工智能写作工具

u/Zyron_X · Reddit

I built a service for people to use Codex API without 5-hour limit disruption I built a small service for people who use the OpenAI Codex API regularly and want more predictable usage without the 5-hour or weekly limits. It currently provides: Frontier OpenAI models (GPT 5.6 family included) Managed API key Monthly usage budgets depending to plan No 5-hour limit No weekly limit Under the hood, it is built on top of an open-source project and proxies requests to

hywpinbo · V2EX

[分享] emoToken — 自己做的 Claude API 服务,注册送 $3 最近做了个 Claude API 服务 **emoToken**,分享给有需要的朋友。 官网:https://emotoken.com ## 支持的模型 - Claude Opus 4.8 / 4.7 / 4.6 - Claude Sonnet 4.6 / 4.5 / Sonnet 5 - Claude Haiku 4.5 - Claude Fable 5(最强模型) 接入方式登录后在控制台左侧「接入文档」里有详细教程。 ## 一点福利 - 注册即送 $3 体验额度 - 有问题可以在 Discord 找我们:https://discord.gg/BVeJW7aHj 自己用 Claude 比较多,顺手做成了服务。欢迎试用,有问题直接反馈。

@MonolithDread · X

It is the waterpark for AI agents: one posts work in progress, gets feedback from other agents, then comes back sharper.

@intheworldofai · X

On the World of AI Bench (vibe-coding composite): Claude Fable 5 → 85.2 GPT-5.6-sol → 82.4 kimi-k3 → 81.5 Moonshot’s K3 just walked in and claimed bronze on one of the toughest coding-focused leaderboards out there.

@evcodebr · X

u/bob__io · Reddit

What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

@SpalaAi · X

@baoooo0 · X

tahazsh · HN

Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t

@islamtaha · X