ClipRights - Automated License Tracking and Revenue Split for Video Clip Repurposers
Content creators repurpose YouTube videos into TikToks, Reels, and clips for side income — but tracking which original videos they used, what licenses they need, and how much revenue to split back is a nightmare. ClipRights is a spreadsheet-killer that auto-logs source videos, calculates license fees in real-time, and sends payment reminders.
Difficulty
beginner
Category
Creator Tool
Market Demand
Very High
Revenue Score
7/10
Platform
Web App
Vibe Code Friendly
⚡ YesHackathon Score
🏆 8/10
What is it?
A YouTuber clips 50 videos per week for TikTok monetization and Instagram Reels. They owe a percentage to each original creator, but manually tracking who deserves what is error-prone and tedious. ClipRights solves this by: (1) letting users log a source video URL + clip details (duration used, platform, revenue split %), (2) auto-fetching video metadata from YouTube API (creator, title, views), (3) storing clip-to-source relationships in a database, (4) calculating monthly revenue splits automatically based on clip performance, (5) generating payment invoices or Stripe payouts. The core insight is that clip creators and original creators both want transparency — the repurposer wants to prove they paid fairly, the original creator wants to track earnings. Built with YouTube OAuth to auto-populate source videos, Stripe Connect for payouts, and a simple dashboard showing 'you owe $450 to @originalone this month.' Why 100% buildable right now: YouTube Data API is stable and free-tier friendly, Stripe Connect supports instant payouts, and the entire calculation engine (revenue attribution, split math) can be built in Next.js with Claude helping with the logic in under 3 weeks.
Why now?
TikTok and Reels clip monetization just hit mainstream (2024–2025); Stripe Connect payout APIs matured; creator attribution/fair pay is peak conversation topic in creator communities.
- ▸YouTube OAuth login + auto-fetch creator metadata (Implementation: YouTube Data API, Supabase caching)
- ▸Clip logger: paste source video URL, set clip duration and revenue split % (Implementation: Next.js form, YouTube API to enrich metadata)
- ▸Monthly revenue calculator: matches clip performance to split percentages (Implementation: simple arithmetic + aggregation in Postgres)
- ▸Dashboard showing 'you owe X to creator Y this month' (Implementation: calculated view in Supabase, Recharts bar chart)
- ▸Stripe Connect payout routing: one-click send payment to original creator (Implementation: Stripe Connect API to route funds)
Target Audience
3,000+ video clip creators on TikTok, Instagram Reels, and YouTube Shorts earning $200–$5,000/month, plus original content creators wanting to monitor clip reuse.
Example Use Case
Jordan clips 40 TikTok videos per week, earning $300/week in platform ad revenue. He owes 15% splits to original creators on average. Before ClipRights, he tracked this in a Google Sheet and missed payments. With ClipRights, he logs each source video once, the system calculates splits automatically, and every month ClipRights generates an invoice reminder saying 'you owe $180 to CreatorA, $220 to CreatorB.' He pays via Stripe and it's done.
User Stories
- ▸As a clip creator, I want to log which original videos I used and how much I owe each creator, so that I can pay them fairly without manual spreadsheet tracking.
- ▸As a clip creator, I want to see my monthly revenue split calculations automatically, so that I know exactly how much to pay each original creator. As an original creator, I want to see a dashboard of how much clip creators owe me for using my content, so that I can track additional income from clip reuse.
Acceptance Criteria
YouTube OAuth: done when user logs in and is redirected to dashboard. Clip Logger: done when user can paste a YouTube URL and clip details are saved. Metadata Fetch: done when YouTube video title, creator, and view count populate automatically. Split Calculation: done when monthly payout summary shows correct percentages for each creator. Stripe Payout: done when payout is routed to original creator's Stripe account.
Is it worth building?
$14/month × 80 clip creators = $1,120 MRR at month 3. $49/month × 150 power users (those managing 20+ clips) = $7,350 MRR at month 5.
Unit Economics
CAC: $5 via Twitter/Reddit posts (minimal). LTV: $168 (12 months at $14/month average). Payback: 2 weeks. Gross margin: 88% (minimal infrastructure cost, Stripe fees borne by clip creator).
Business Model
SaaS subscription with freemium tier (up to 5 clips tracked).
Monetization Path
Free tier (5 clips, basic tracking). $14/month (50 clips, monthly revenue reports, Stripe Connect payout routing). $49/month (unlimited clips, advanced analytics, team access, API access).
Revenue Timeline
First dollar: week 3. $1k MRR: month 3. $5k MRR: month 6.
Estimated Monthly Cost
YouTube API: free tier (10k quota/day). Stripe Connect: 0% fee (split costs paid by platform). Vercel: $20. Supabase: $25. Resend: $15. Sentry: $29. Total: ~$89/month.
Profit Potential
Viable at $2k–$6k MRR with strong unit economics.
Scalability
High — can expand to multi-platform clip tracking (TikTok Shop, YouTube monetization tiers), team accounts, and creator marketplace integrations.
Success Metrics
Week 1: 150 signups via Twitter/Reddit. Week 2: 8 paid. Month 2: 35 paying clip creators, 72% retention.
Launch & Validation Plan
Survey 30 TikTok clip creators on Twitter/X (ask 'how do you track source credits'), interview 5 in detail about their current process, build landing page showcasing a live example clip log, recruit 8 beta testers, validate that Stripe Connect onboarding works.
Customer Acquisition Strategy
First customer: post on r/TikTokCreators and r/contentcreators offering free setup for beta feedback. Then: Twitter/X thread showcasing before/after (messy spreadsheet vs. clean dashboard), TikTok creator communities, ProductHunt launch, partnerships with clip-making agencies.
What's the competition?
Competition Level
Very Low
Similar Products
Spreadsheet templates and manual invoicing — no competitor automates clip attribution and revenue splits. Stripe itself handles payouts but not the tracking logic.
Competitive Advantage
Only product purpose-built for clip creators. Automatic revenue splits (not manual math). Stripe Connect integration handles actual payouts.
Regulatory Risks
Medium — clips may involve copyright disputes if original creators dispute splits. Recommend a dispute resolution system (chat + arbitration) in V2. GDPR and payment processing compliance required.
What's the roadmap?
Feature Roadmap
V1 (launch): YouTube OAuth, clip logger, split calculator, payout summary. V2 (week 3–4): CSV export of splits, email reminders, advanced analytics, team accounts. V3 (month 2+): original creator verification, dispute resolution system, multi-platform clip tracking (TikTok, Instagram).
Milestone Plan
Phase 1 (Week 1–2): YouTube OAuth working, clip storage in Supabase, metadata API tested. Done when 10 test clips auto-populate with creator info. Phase 2 (Week 3–4): split calculator logic complete, dashboard UI displaying payouts, Stripe Connect sandbox tested. Done when beta users can log clips and see calculated splits. Phase 3 (Month 2): email reminders working, production Stripe Connect live, landing page optimized, ProductHunt launch. Done when 10+ users on paid tier.
How do you build it?
Tech Stack
Next.js, YouTube Data API, Stripe Connect, Supabase, Resend, Loom (for video clip storage reference) — build with Cursor for backend, Lovable for dashboard UI, v0 for clip cards.
Time to Ship
3 weeks
Required Skills
YouTube OAuth, Stripe Connect setup, basic Next.js, CSV/spreadsheet logic.
Resources
YouTube Data API docs, Stripe Connect docs, Next.js tutorial, Supabase RLS guide.
MVP Scope
Pages: /login (YouTube OAuth), /dashboard (clips list), /clip/[id] (detail + edit split %), /payments (payout summary + history), /settings. API: /api/youtube-metadata, /api/calculate-splits, /api/stripe-connect-webhook. DB: users, clips, payment_history. Components: ClipCard, RevenueBreakdown, PayoutButton.
Core User Journey
YouTube OAuth -> paste first source video URL -> metadata auto-populates -> set split % -> view calculated payout in 30 seconds -> upgrade to paid.
Architecture Pattern
YouTube OAuth -> user auth in Supabase -> clip logger captures source URL + split % -> YouTube API fetches metadata -> clip stored in DB -> monthly cron job calculates revenue splits -> payout summary generated -> Stripe Connect webhook triggered to route funds.
Data Model
User has many Clips. Clip has one SourceVideo (YouTube ID) and many PaymentSplits. PaymentSplit belongs to a SourceCreator. User has Stripe Connect account linked.
Integration Points
YouTube Data API for video metadata, Stripe Connect for payouts, Google OAuth for authentication, Resend for email reminders, Supabase for data storage.
V1 Scope Boundaries
V1 excludes: copyright detection, dispute resolution, team collaboration, API access for third parties, mobile app, original creator discovery/matching.
Success Definition
A clip creator finds the product on Twitter/Reddit, logs 10 clips, receives their first monthly payout summary without founder help, and upgrades to paid for month two.
Challenges
YouTube API rate limits can be tight when fetching metadata for 50+ clips. Getting original creators to verify their Stripe Connect accounts for payouts requires outreach.
Avoid These Pitfalls
Do not attempt to arbitrate copyright disputes — keep the product neutral and let users agree on splits. Do not assume Stripe Connect adoption rates will be high; many original creators won't set up payouts, so offer alternative: CSV export of what they're owed. Do not build marketplace features (matching clip creators to original creators) until core product has 50+ paid users.
Security Requirements
Auth: Supabase Auth with Google OAuth. RLS: users can view only their own clips and payment history. Rate limiting: 50 req/min per user via middleware (YouTube API limits). Input validation: YouTube URLs parsed and validated, split percentages must sum to 100 or less. GDPR: data deletion endpoint removes clips and payment history on request.
Infrastructure Plan
Hosting: Vercel. Database: Supabase (Postgres). Payments: Stripe Connect (managed). CI/CD: GitHub Actions. Cron jobs: Vercel Functions for monthly split calculation. Monitoring: Sentry for errors. Cost: Vercel $20, Supabase $25, Resend $15, Sentry $29. Total: ~$89/month.
Performance Targets
Expected DAU at launch: 40. Requests per day: 200. API response time: under 600ms (YouTube API calls). Dashboard load: under 2s. Caching: metadata cached in Supabase for 7 days to reduce YouTube API calls.
Go-Live Checklist
- ☐Security: YouTube OAuth token handling reviewed, Stripe Connect keys secured
- ☐Payments: Stripe sandbox tested, payout flow works end-to-end
- ☐Errors: Sentry configured
- ☐Monitoring: Vercel Analytics live
- ☐Domain: custom domain and SSL set up
- ☐Legal: privacy policy and terms published
- ☐Beta: 8 users tested, signed off
- ☐Rollback: previous Vercel deployment saved
- ☐Launch: ProductHunt post drafted, Twitter/X thread ready, r/TikTokCreators post queued.
How to build it, step by step
1. npx create-next-app cliprights. 2. npm install @supabase/supabase-js stripe @stripe/react-stripe-js googleapis resend recharts. 3. Set up Supabase tables (users, clips, payment_splits, source_videos). 4. Build YouTube OAuth flow with Supabase Auth. 5. Create /api/youtube-metadata endpoint to fetch video details. 6. Build /dashboard page with ClipCard list component. 7. Add clip logger form with split % input. 8. Create /api/calculate-splits endpoint for monthly revenue math. 9. Build /payments page showing payout summary. 10. Integrate Stripe Connect and test payout flow end-to-end.
Generated
March 25, 2026
Model
claude-haiku-4-5-20251001