Echo clips SAAS

Full-Stack SaaS Developer Needed — AI-Powered Twitch Clip Platform

I'm building EchoClips, a SaaS platform that uses AI to automatically detect and clip the best moments from Twitch VODs. Think ClipFinder.org but with a real AI pipeline behind it — VideoMAE + CLIP models running on a dedicated GPU.

This is a complete, well-scoped project with a full technical briefing attached. Please read it before applying.

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WHAT YOU'RE BUILDING

• Landing page (dark theme, purple accents, hero, pricing, testimonials)
• Timeline editor — scrubber, waveform, draggable start/end, keyboard shortcuts
• AI clip detection — VideoMAE + CLIP models suggest top 3–5 moments per VOD
• Auth — Email/password, Google OAuth, Twitch OAuth
• Credits & subscription system — $4.99 one-time / $12.99 monthly / $9.99 annual
• PayPal integration (subscriptions + one-time orders) — Stripe is not available in Morocco
• Referral system — custom links, configurable % discount for referred users, cash earnings for referrers, referrer dashboard, withdrawal requests with admin-controlled limits
• Admin dashboard — user management, VIP/referrer roles, revenue stats, AI job monitor, pricing controls, testimonials CRUD, chatbot config
• Help chatbot — embedded support bot
• Clip export — MP4, 9:16 TikTok, 16:9 YouTube

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REQUIRED TECH STACK

Frontend: Next.js + React + Tailwind CSS
Backend: Laravel, Django, or FastAPI (your choice)
Database: Supabase (PostgreSQL + real-time)
AI/GPU: Python + Hugging Face (VideoMAE, CLIP, Whisper) on RTX 3080
Queue: Redis + BullMQ (priority by tier)
Storage: Cloudflare R2
Video: FFmpeg + YOLO + MediaPipe
Payments: PayPal REST API
Monitoring: Prometheus + Grafana

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WHO I'M LOOKING FOR

• You have shipped at least one full SaaS product end-to-end
• You are comfortable with GPU model deployment (Hugging Face, Docker)
• You've worked with BullMQ or similar job queues
• You write clean, maintainable code — not just code that works
• You communicate clearly and flag blockers early

Please do NOT apply if you haven't read the attached briefing or if VideoMAE/CLIP deployment is outside your experience.
HOW TO APPLY

To filter out copy-paste proposals, start your message with the word ECHOCLIPS and answer these two questions:

1. Have you deployed Hugging Face models on a GPU server before? Describe the project briefly.
2. What backend framework would you choose for this project and why?

Proposals that don't follow this format will not be reviewed.

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Full technical briefing is attached. Budget is negotiable based on your experience and approach. Looking to start within the week.