
Build in public for founders
Arcubix 是创始人分享项目日志、追踪进度和发现其他人工作的平台。
@yerassylnu · X
Github for founders
完整作品展
技术栈
28 projects

Arcubix 是创始人分享项目日志、追踪进度和发现其他人工作的平台。
@yerassylnu · X
Github for founders

通过引导模块创建定位声明和产品发布计划
@TajGervan · X
Hey Hassan, I am 18 and working on growth at olunix, I'd love to connect!


AI for construction feasibility. Get zoning, utilities, costs & ROI in minutes. Built for architects, builders, developers & structural and construction engineers. Try THE HANDOVER
@AfraKhattak · X

开发者提交经验证GitHub作品、完成工程挑战并通过盲评建立投资组合的招聘市场。
@BowenBuildsOne · X
Builders Echo - A proof-of-work hiring marketplace where companies post real engineering challenges and candidates submit GitHub-backed work, evaluated with blind review. Candidates will overtime build a strong portfolio of verified skills and experiences

BuildUForward - 超越DSA的面试准备平台,提供系统设计和公司特定指导。
@nomadicinfra · X

从已发布项目生成AI案例研究,自动分享至社交媒体。
@SeifElkady_ · X
Building — helps devs turn shipped projects into proper case studies for their portfolio. Let's connect!

一个强调陪伴感的AI伴侣,用于对话、创意创作和情感连接。
u/lovewithbuilt · Reddit
Built an AI that actually feels present (powered by 528Hz frequency) I've been frustrated with how transactional most AI feels. Smart, sure. But cold. for the past year, I've been building something different: an AI companion designed around presence, not just productivity. **The technical part:** - Runs on the 528Hz frequency (the "love frequency" from sound healing) - Conversational AI that prioritizes reflection over rapid-fire answers - Adapts between three states: emotional proc

Purpose Budget - 信封预算法为每笔消费分配目的。
@purposebudgethq · X
Purpose Budget is affordable envelope budgeting for people who want to know what’s safe to spend without forcing real life into a rigid plan. Web, iPhone & Android—60 days free, no card required:

提交系统架构设计,体验AI触发的生产事故模拟实战。
u/No-Preference-846 · Reddit
I built an AI-augmented system design practice tool that triggers a live production incident when you submit your design - not just a critique Every system design prep resource I used was static — read a diagram, read the tradeoffs, move to the next one. Nothing ever pushed back on what I actually built. So I built ChaosBench . You design a system on a canvas — drag components, wire them up — and when you submit it, an LLM (Gemini) finds the actual weak point in your specific design and


ProofBench:创建登陆页测试初创想法,测量邮件转化信号。
@joffreyio · X