
AI Todo - AI Planning Assistant
AI Todo 用智能方式将目标分解为可行步骤,优化任务优先级。
AI Todo — 像很多程序员一样,我日常要兼顾工作任务、生活琐事、项目计划,时常感到事情多但漏掉的也不少。想用智能方式管理这些待办,但市面上的工具要么设计臃肿,要么 AI 能力很弱。于是我花了几周开发了 AI Todo,目标是:
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AI Todo 用智能方式将目标分解为可行步骤,优化任务优先级。
AI Todo — 像很多程序员一样,我日常要兼顾工作任务、生活琐事、项目计划,时常感到事情多但漏掉的也不少。想用智能方式管理这些待办,但市面上的工具要么设计臃肿,要么 AI 能力很弱。于是我花了几周开发了 AI Todo,目标是:

用TurboLearn从学习资料生成笔记和图表。
Turbo Learn — 从文档、图片、拼音文件生成笔记的 AI 学习工具网站

基于您的知识库的AI办公助手,自动化编码、研究和演示任务。
zhiheng_huang · HN
Sharper – an AI office agent grounded in your knowledge, with citations

监控你的行业、创建社交媒体内容并自动发布的AI助手。
@taherchhabra · X
These exact 4 things ... in

与个人AI互动,它会主动给你发消息和语音通话,记住你的对话。
u/hsarp19 · Reddit
I built a personal AI that calls me every week I spent a good part of the last several months trying to build a personal AI that feels like a contact on your phone and not another chatbot. A normal contact 'exists' even when you close the conversation. They remember you, respond when you message, message first, and sometimes call. I wanted to see how closely an AI could work like that, because a contact is an interface people already understand; there's nothing new to learn. What this h

Four-Leaf AI求职助手,支持语音模拟面试、简历优化、薪资谈判。
@FourLeaf_AI · X

AI招聘智能平台,评估候选人、指导招聘决策。
@adityabastawad · X
Every recruiter deserves a twin that hires the way they do.

Argutum:与AI聊天并根据消息质量赚钱。
u/as-333 · Reddit
Built an AI chat that pays you per message, scored in real time: looking for feedback I've been using Claude Code to build Argutum, an AI assistant that scores every message you send (0–100, five dimensions: complexity, novelty, structure, domain expertise, conversational depth) and pays you for the good ones. The underlying idea is that your prompts get sold as training data to AI labs, so you should get a cut instead of it happening for free. Stack: Next.js 16, Groq/Llama 3.3 70B, custom

基于您内容的网站AI助手,为访客回答问题并提供来源。
@AjayGB4 · X

监控 DNS 态势并执行 WHOIS 查询,获得即时见解。
@DNSAssistant_ · X

使用在微虚拟机中运行代码的AI代码审查来捕获更多漏洞。
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

AI约会助手,基于高质量聊天训练,帮助改进撩妹和聊天技巧。
RIZZ AI — AI 约会助手