生产力1 week ago
Marktwin | Think, discuss, decide, and work together
在协作工作空间中思考、讨论和编辑你的Markdown文件。
nathwolf · HN
Marktwin – collaborative workspaces on Markdown files you own
完整作品展
技术栈
60 projects
在协作工作空间中思考、讨论和编辑你的Markdown文件。
nathwolf · HN
Marktwin – collaborative workspaces on Markdown files you own
发现独立应用，与创作者连接来购买、出售或交易创意作品。
@JamesAuble · X
Building something cool? List it on DealMyApp and get your project in front of thousands of founders, makers, and potential buyers. 🚀
Discover startups on an interactive map. Browse founders, sectors, hiring status, and jobs, or list your own startup and get discovered.
@Startups_Map · X
分享你的兴趣，找到志同道合的人。
@nilsvb · X
Just launched Lovelisti after a week of vibe coding: add one thing you love and tell me who you find. Here is my list :
4ollower:创作者专用dashboard,追踪增长、管理品牌合作和财务。
@BayofDomain · X
@lightsilver323 Paste English. Get Corporate. https://t.co/VFo0rWnldy
@iprajwalG · X
Paste English. Get Corporate.
Find security holes in your AI-built app before hackers do. StackSecured scans for exposed keys, injection flaws, CVEs and more — with copy-paste fixes.
@djdeepakjha · X
AI can build your startup in days. But who checks the security? Public configs. Weak APIs. Exposed secrets. If AI built your app, scan it before someone else does. 🔒 StackSecured — security assessment #CyberSecurity #VibeCoding #AppSecurity
通过加密URL分享代码、笔记、脚本和AI内容。
@parrotwiki · X
one url. everything they need. code, notes, scripts, keys. end-to-end encrypted. 🦜
将多个工具统一在一起，减少工具切换的生产力应用。
@vinctkng · X
A productivity app that solves the pain of switching between different productivity tools and linking all of them together!
上传数据集自动发现具有统计意义的相关性和因果关系。
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.
Buildstory——分享和探索AI构建软件项目背后的故事与工具。
u/ComfortableCheap1669 · Reddit
I built a way to see the decisions behind an AI-assisted project, not just the final repo I kept running into a weird problem with projects I built using AI. Once the project is finished, GitHub shows the result pretty well. But almost none of the process survives. The first approach that didn’t work. The bug that changed the architecture. The point where I realized I was solving the wrong problem. The AI suggestion I ignored. Why v2 looks different from v1. You
