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@sumitkdevcode · X
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@sumitkdevcode · X

在您的网站上嵌入轻量级 widget,收集用户反馈、bug reports 和 screenshots
@CoryMeikleDev · X
I built SiteSay a tool that allows you to embed an incredibly lightweight (4.33kB gzipped) widget to your website for collecting feedback/bug reports with screenshots. It also automatically attaches any uncaught JS errors/unhandled promise rejections.

VibeLint 为 AI 代理提供代码检查、权限控制和审批工作流。
@RElharrak39428 · X

从评价提取真实客户语言,排序为广告角度和钩子
@buildingadlicio · X

由Codex和Grok驱动的AI笔记应用。
@Number1AIFanboy · X
I got to go to bed. More coding tomorrow. I just had a realization that I'm building cool shit, using @grok in an app that I built with Codex and refined with Grok. And now Grok just works on himself. LFG🚀 Drop me a note here: Get the app here (use LAUNCH50):

通过AI驱动的模拟和专家反馈练习系统设计面试。
@ShashankCode · X
Checkout here :


Compress LLM prompts and docs to reduce token usage and API costs.
@marcusyul · X
THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️

@UK_Daniel_Card I made something similar https://t.co/HCVGlFb8hF. Its completely vibe coded but it is supposed to be a vibe project. Been making it for about 6 months now. Feel fre
@slacksarenice · X
I made something similar Its completely vibe coded but it is supposed to be a vibe project. Been making it for about 6 months now. Feel free to take inspiration from it 😅

上传手写考试答卷,获得即时AI评分和详细反馈。
@XaminixAI · X
AI Powered Answer Evaluation for CA/CS/CMA

FizzBee 是 AI 需求工程师,为编程 agent 生成经过验证的规格说明。
jayaprabhakar · HN
I've been building an open source formal methods system (fizzbee.io) for the past few years. Today I'm launching a new app built on the same technology. It performs requirements engineering using formal verification to uncover gaps and produce precise instructions for your coding agents to follow. When given a prompt, it - asks high signal follow-up questions - converts to formal spec and identifies complex requirements gaps - generates validation scenario At the end, it produces a specification document that can be shared with coding agents. In my trials on various projects, it produces working code in fewer iterations. Please give it a try and share your feedback. https://fizzbee.ai/ You can also look at a sample project. https://fizzbee.ai/projects/94bf2869-97a1-445c-8f5d-4445848b...

FeedLog是开源AI反馈工具,免费收集和管理用户需求。
@kngkng182542 · X
If you're paying for Canny, give FeedLog a look. Same workflow for collecting feedback and managing feature requests, but free during launch.