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上传你的简历进行AI优化,并针对特定职位描述进行定制。
@Abhidwivedimany · X
We were doing quite well on our costs, startups are supposed to burn some cash - so we launched a free resume builder: If the platform asks you for money to build resume, my engineering team (claude code and me) are hearing it from me.

即刻将 HTML、Markdown、notebooks 或 PDF 转换为私密、可共享的网站。
@thryvate · X
My AI built something cool, let’s share it with some friends.

用前沿AI模型生成并分享图像,当他人基于你的提示词创建作品时获得收益。
u/raidenblackout · Reddit
I spent 6 months building my AI platform and 0 days marketing it. Trying to fix that now So I've been building Nodal ( https://app.asknodal.com ) for about 3 months now. Basically it's a Pinterest-like app for AI-generated images. And the neat part is you top up one credit balance and can use it to generate from multiple platforms like Nano Banana, ByteDance, Flux, etc. So for the last 3 months I have been working on feature after feature, refactoring, trashing some features, and then build

用AI World Generator从文本和照片实时生成互动3D世界,用于游戏、研究和机器人。
ai world generator — 用文本和照片生成自然风光视频的 AI 工具网站

混合动物、机甲或英雄来创建独特的混合角色。
Magic Animal Generator — 尽情发挥你的想象力 用 AI 混合两种动物,创造前所未见的新物种

为开源项目生成的AI文档wiki,每句话都由代码行引用验证。
u/Comprehensive-Bad-43 · Reddit
I got tired of documentation that lies, so I made docs that have to prove every sentence Founder here! Every codebase I have ever joined had the same problem: the docs describe the code as it was six months ago. Nobody updates them, because updating docs is the least rewarding job in software. So I built RepoFold . You connect a GitHub repo and it generates a full wiki, but with one hard rule: every technical claim has to cite the exact file and line numbers it came from. If the AI can'

使用AI生成ATS友好型简历,创建求职信,追踪招聘申请,准备面试。
@buildwithsubodh · X


将YouTube视频或文本转换成推文、LinkedIn帖子、博客和通讯内容。
@SwiftLab99713 · X
Fury — turns 1 video into a week of content (TikTok, X, IG, YouTube shorts) in 2 minutes. Built it because I was burning 3 hours a week doing this manually. [

将 Gmail、日历、GitHub 和 Figma 整合成一份每日智能摘要。
@CodewithDivine · X
check this out

为LLM输出提供token级引文API,通过注意力分析验证。
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention