The full gallery
Tech stack
19 projects
All-in-one workspace for project management, documentation, and test management.
@klorityx · X
One workspace for project management, documentation, test management & CRM. Enterprise features without enterprise pricing.
Create disposable inboxes via API to capture emails and OTPs for test automation.
@MailFixture · X
Screen and interview technical candidates with AI resume filtering and structured interviews.
@__singhritwik · X
Order lab tests without a doctor or membership, choose preset panels or build custom ones, and get results by email.
@DirtCheapLabs · X
It's just dirt cheap labs lol
Compliance management and audit-readiness platform with controls, policies, and evidence tracking.
@KeelGRC · X
just launched this week. It’s an SMB-friendly GRC and compliance application.
Interactive demo for experimenting with grading mechanics.
@TheEduardoRFS · X
I vibe coded a demo for grading, not in a great shape but it's fun to play a bit.
Turn PDFs into adaptive practice questions and personalized revision flows for learning.
@qurative · X
vibe coded a landing page for seo and shit, will fix it later focusing on adding features to the dasboard
Test large model API relay stations for consistency and authenticity with official versions.
@nodeloc_cc · X
🌈 7月，你好，MODELOC上线算力池。 MODELOC自上线以来，已检测2000余次，覆盖600+中转站，为众多AI用户提供的使用参考。 MODELOC近期进行了改版，上线了算力池及市场。 加入算力池 查看帖子： 用 MODELOC 便宜地调各家大模型：一次讲清它的价格体系
Automate load testing for modern teams without complex setup or manual scripting.
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional
Business management tool with CRM, invoicing, and project management features.
@buildrunkitUS · X
BuildRunKit: A complete system for founders, with (CRM/Invoices/Projects) BuildRunKit 7-part Startup foundations book series. Book 1 is live! The Startup Self Check Frenzied Founder Podcast.
Benchmark AI models by having them animate a 3D banana plant's full lifecycle.
fran-mora · HN
I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.
Test your app across devices and browsers to catch bugs automatically in minutes.
@vibe_and_go · X
