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Outbuilt is a public leaderboard where your rank is exactly what you paid, and anyone can outbid you. No logins, no feed, no algorithm: pick a spot, pay through Dodo Payments checkout, and your name goes up. I built it with Next.js, TypeScript and Supabase, and kept the whole flow to a couple of clicks. It launched on Aug 22, 2026 and got 23 paid placements from 11 countries after launch. Small idea, real payments, shipped fast.
Open for Next.js and full stack projects, message me 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
Designed a landing page for an AI hiking safety startup from brief to shipped.
A startup like this targets $5M ARR in year two. That means the site has one job: turn a curious hiker into a paying subscriber before they find an alternative.
What this landing page does for that goal:
- Converts first-time visitors into free signups
- Upgrades free users to the $9/mo Summit plan
- Builds enough trust that someone hands it to a family member
- Makes the SOS feature feel essential, not optional
Built-in Framer.
framing the sos feature as essential rather than optional is smart pedro. solid landing page
𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦
𝐌𝐲 𝐫𝐨𝐥𝐞: Lead Full Stack Developer (AI & LMS Platform)
𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐝𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧:
I led the development of a scalable AI-powered learning platform and LMS portal. I built a secure full-stack architecture with responsive frontend interfaces and robust backend APIs to support interactive lessons, real-time class scheduling, and personalized learning tools. I also integrated curriculum-based workflows and ensured the system performed reliably for thousands of active students.
The problem
AI tools changed how fast good work gets made, but hiring still looks like 2015: long specs, hourly guesses, and no clear line between a prompt and a finished product. Clients want the result. Skilled people who build with AI want to be paid for outcomes, not hours.
What we built
VibeBay is a two-sided marketplace for finished AI work. A client posts what they need in plain words. Matched talent reply with a price, a delivery date and real samples. The client picks one, pays into escrow, and the money is released when they approve the work, or 7 days after delivery.
Inside the product:
Explore and search across six kinds of work, with talent profiles, portfolios, levels and reviews
Task posting, proposals with milestones, and checkout with escrow through Stripe
Real-time messaging between clients and talent
An AI assistant that helps clients describe the work and find the right person
Skill tests graded by AI, and profile import that turns an existing portfolio into a VibeBay profile
A full admin panel: approvals, moderation, support, orders and live campaign numbers
A pre-launch system with founding seats per country, referral codes and a countdown to opening day
How it's built
Next.js on Netlify, Supabase for the database, sign-in and file storage, Stripe for payments and escrow, Claude for the AI features, and Resend for email. Every page is checked automatically on each change at four screen sizes, from a small phone to a wide desktop, for accessibility and for broken buttons and links.
Where it is now
Founding seats are opening country by country, and the full marketplace opens on 31 October 2026.
Designed and built by Dreamec Studios.:
