The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Just deployed a waitlist for my upcoming product Crank. It's what I like to claim as the ultimate developer tool. Well not just for devs ofcourse.
Imagine an AI Harness that can reshape itself to your needs!
Are you a video editor? Are you a frontend dev? Maybe you're a trader? or do you you just want an AI harness to run as your server and autofix issues when an error occurs?
And if that doesnt sell you, it uses 64% less tokens than other harnesses, generates clean uncluttered code. its coding strictly forbids cutting corners or generating any slop.
Join the Waitlist HERE
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
A high-impact Webflow experience for an industrial site-selection platform.
Industrial site selection on Webflow lives or dies on map and filter clarity. High impact usually means dense data still scans on mobile.
I'm experimenting with two responsive designs for mobile bottom navigation and would love to hear your thoughts.
Which approach would you prefer? 👇
A — Multi-row Grid
Navigation items wrap into multiple rows to accommodate smaller screens.
B — Horizontally Scrollable Bar
A single-row navigation bar that users can scroll horizontally to access more options.
Which feels more intuitive, accessible, and user-friendly?
Vote for A or B and let me know why in the comments. I'd love to hear your perspective! 🚀
2 voted
50%
2 voted
50%
4 votes
Closed
Multi-row Grid is more practical I like it great job 🎉🎉🔥🔥
AI Property Maintenance Automation
AI-powered property maintenance automation designed to streamline how property management teams handle tenant maintenance requests.
The system takes a maintenance request, analyzes the issue, determines its priority and category, recommends a suitable vendor, and automatically creates a structured work order.
Workflow:
Tenant request → AI analysis → Priority & category → Vendor matching → Work order
Built with: Python, Flask, SQLite, HTML, CSS, JavaScript, and AI-assisted request classification.
This project was built as a portfolio demonstration of AI automation for property management operations.
Turning a tenant request into a ready work order in seconds removes the manual triage step.
