
#1 Platform for Technical Interviews with Advanced Proctoring
通过AI简历筛选和结构化面试进行技术候选人招聘。
@__singhritwik · X
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通过AI简历筛选和结构化面试进行技术候选人招聘。
@__singhritwik · X

CodeFlovio 将代码转换为交互式流程图,便于学习、调试和文档编制。
@Sparsh209 · X
Hi isha! Check it out here at: Would love to hear your feedbacks

Hexabench 本地开发者工具套件,支持 CSV、Parquet、JSON 格式处理,无需上传。
u/sheshu29 · Reddit
My side project Hey everyone i have just created this website for developer who does not want to rely on ai agents so please visit and give me some feedback if you want any specific tools 🫠 submitted by /u/sheshu29 to r/SideProject [link] [comments]

CIRA PRO AI — 为摇摆交易者设计的加密货币分析工具,包含AI评分、机会雷达和实时警报。
@luiz_santo78412 · X
Check out what I just built with Lovable!

MailQueue 自动化多渠道冷邮件,实时追踪效果。
@NikolozMuladze · 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

Mac & Windows 屏幕录制工具,支持点击自动缩放、渐变背景和摄像头叠加。
@zuess05 · X
Shipped some banger updates to

Spendict – 为AI生成的广告创意评分,返回投放/修改/停止建议。
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP

上传AI对话记录,获取证据支持的报告
@StilThinkng · X
Tired of repeating the same context across ChatGPT, Claude, and Grok? SoulBots builds a privacy-first memory that grows with you across AI. Looking for early testers.

使用 AI 将主题、笔记或 YouTube 讲座转换为抽认卡和小测验。
@pixelnestlabs · X
🚨 hey Elon musk you should check this: 🚀 I’m 14, and I just launched Kernol 🧠 An all-in-one AI study ecosystem built by Pixel Nest Labs. One of the most powerful AI study tools I've built. Don't take my word for it. 👀 👉
实时追踪Bitcoin供应量数据
@_nikzzy07 · X
i've built my first app, its a BTC supply tracker i hope you guys like it!!

由AI驱动的代码审查工具,在microVM中运行代码来捕获更多错误。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db