@emir_ogz · X

Just shipped - AI-native workspace for solo devs Agent reads/writes your project notes automaticly

@RelaXstartcom · X

Building a product that solves a real problem is step one. Step two is ensuring your early operational setup is actually legible to VCs. If you want to stress-test your setup and check your investor readiness, try this quick 3-minute diagnostic:

@MarkZofMarkZ · X

Marketers who email - - still testing it, but I could use some help to validate.

@TimoPrescott · X

I'm working on my bookmark app, It will allow users to manage all of their bookmarks in a singular Universal location, and it will allow teams the ability to share bookmarks in an intuitive way. I didn't like the existing options, so now I'm here 😎

@deep_pakhare · X

🚀 Submitted my capstone project for Kaggle's AI Agents: Intensive Vibe Coding Course with Google Introducing FarmGPT AI 🌾 🔗 GitHub: 🌐 Demo: 📖 Write-up: #AI #Kaggle #GoogleAI #React #BuildInPublic

@CoryMeikleDev · X

I built SiteSay a tool that allows you to embed an incredibly lightweight (4.33kB gzipped) widget to your website for collecting feedback/bug reports with screenshots. It also automatically attaches any uncaught JS errors/unhandled promise rejections.

u/KeyProject2897 · Reddit

built a tool to help fellow dreamers setup basic marketing for their products I built 2 products over the last couple of years - Baloon.dev and Sling.biz. Loved building both of them. But always stuck at marketing. I'd ship a feature, make one or two posts, and then get busy building again. Few weeks later I'd realize I hadn't posted anything. So I built PublishLoud It watches my GitHub commits and drafts posts for LinkedIn and X. I still edit everything before posti

est · V2EX

无聊，复刻了个 web 版的 微信朋友圈  <https://f.est.im/> 要说亮点还是有，所有发帖+评论数据，包括这套代码本身，都在[一个 git 仓库]( https://github.com/est/gitweets)里。搬家比较容易 说明 [1]( https://blog.est.im/2025/stdout-05) [2]( https://blog.est.im/2026/stdout-28) 大家提点看法？

laurentiurad · HN

I built a web page that aggregates data about data center buildup, sovereign fund investments into AI and bottlenecks. The objective is to predict AI race cooldown by looking at a potential decrease of activity involving these elements. The website looks at the quarterly forms from the 5 biggest hyperscalers and adds their CapEx into the mix, calculating a composite index in the end showing how likely it is for the AI race to slow down. Enjoy!

@Aryan_2190 · X

Hyper Personalized Outreach for B2B

@MourynCher16712 · X

data analysis app. Check out

@im_pradee_p · X

Backend as a service