
Coffme · 个人咖啡工作台
记录并优化手冲咖啡配方,包含冲煮指南、风味追踪和数据分析。
@nathantong416 · X
我做了一个为手冲咖啡爱好者设计的记录工具。 从配方整理、冲煮引导,到风味记录与复盘,帮助你找到真正适合自己的那杯咖啡: • AI 配方识别 • 60+ 冲煮方法 • 滤杯管理 • 冲煮记录与数据分析 欢迎尝试并提供意见~ #coffee #vibecoding #手冲咖啡
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记录并优化手冲咖啡配方,包含冲煮指南、风味追踪和数据分析。
@nathantong416 · X
我做了一个为手冲咖啡爱好者设计的记录工具。 从配方整理、冲煮引导,到风味记录与复盘,帮助你找到真正适合自己的那杯咖啡: • AI 配方识别 • 60+ 冲煮方法 • 滤杯管理 • 冲煮记录与数据分析 欢迎尝试并提供意见~ #coffee #vibecoding #手冲咖啡

分析 GitHub 仓库发现付费工作与贡献机会。
@bashops_dev · X
Building BashOps Radar—repository intelligence for developers. Helping developers identify contribution opportunities that can lead to contracts, paid sprints, and long-term work.

输入GitHub用户名,AI生成你的专业开发者档案。
@Vaggarwal2107 · X
Just launched the MVP for DevDossier 🚀 A sleek, minimal showcase for developers to manage their projects and dev timeline in one place. Check it out and drop your feedback! 🔗 #buildinpublic #webdev #indiehackers #reactjs #developer #portfolio #AItool

GitFlex将GitHub活动转化为AI审评的开发者档案及可分享的简历。
u/tuco_ye · Reddit
We think GitHub profiles deserve better. So we built GitFlex. We think GitHub profiles deserve better. Every developer has spent hours polishing a CV while their best work is already on GitHub. GitHub tells part of your story. We wanted to help tell the rest. So we built GitFlex - your second CV, powered by real GitHub data. Beta version includes: 🧬 Dev DNA A beautiful, customizable developer portfolio powered by real GitHub data that stays up to date automatically. 🤖 AI R

将 GitHub 发布转化为特定平台的社交媒体帖子和可编辑的发布日历。
@SergeWilder · X
Yeah. True. I’ve even made (vibe coded) tool for myself

自动将你的GitHub提交作为卡片每日发布到X。
@manoj_surya_ · X
I just launched 🚀 A Proof of Ship, every day — straight from your GitHub. You already do the hard part: you commit. git-to-x turns that into a designed card and posts it to X every morning. Your timeline finally looks like what you actually are — someone who ships. → 8 card designs, rotating (terminal, heatmap, flame, ticker…) so it never gets stale → weekly + monthly milestone cards — your streak becomes a story worth following → tweet from your CLI / Cursor / Claude Code without leaving your editor → free for 10 days, full access See who else is shipping daily under #proofofship — and join them. It touches your repo, so safe-to-try came first: → open source (AGPL) — audit it or self-host → read-only — we never touch your code This is my first build-in-public tool. I built it for myself, and for anyone tired of switching between shipping and posting about shipping. First 100 get founding lifetime — a permanent number on every card. Try it, tell me

提交网站获得来自6个AI角色的反馈,覆盖用户体验、SEO、文案和设计。
@RmndDesign · X

用Pyor原生应用审查GitHub的PR,无需打开github.com。
othmanosx · HN
I still don't like the fact that AI is adding more stuff for us to read, it's accelerating the code production but slowing down the code review. I built my own code reviewer as well ( https://pyor.review/ ), surfacing the important stuff first is the right track, but adding more stuff to read is daunting, but asking AI to just point you to what you need to focus on and skim the noise is what I'm leaning more towards.

PRcade 通过团队排行榜和分析可视化GitHub代码审查性能
u/SnooStrawberries827 · Reddit
my team had 47 open PRs and nobody was reviewing them, so I gamified it our team hit 47 open PRs at one point last month and nobody was reviewing them. tried slack reminders, deadlines, rotating reviewers, none of it really stuck. might be related to the fact that everyone's hyped about how fast AI can write code now, copilot cranking out entire features in hours, but none of that matters if the PR just sits there for a week. feels like writing code stopped being the bottleneck a while back

在仪表板中发现热门开源项目,追踪您的PR和问题。
@manixh · X

在 GitHub 上发现趋势 AI/ML 仓库,包含实时警报和提交热力图。
@g_saikumar_ · X
Real-time GitHub intelligence for developers, founders, and open-source enthusiasts.

扫描 GitHub 仓库检查生产就绪度、安全性和可扩展性。
@nathanghart · X
Submitting for approval. I built a free tool for anyone about to ship a vibecoded app. It scans your repo for what bites you in prod (leaked keys, no auth, no error handling). I ran it on 1,868 AI-built apps and even caught my own scanner being ~42% wrong.