YourContentPal
Content asset library + repurposing engine — one shoot, ten platforms.
Users & fit
Persona
Creators and small brands producing 3+ posts/week across vertical + square + wide formats. Hybrid YouTube long-form + TikTok short + Instagram square + newsletter. Fatigued by manual resizing, recaptioning, re-exporting.
Problem
One shoot becomes 10 pieces of content, each needing a different aspect ratio, length, caption style, and thumbnail. Existing repurposing tools (OpusClip et al.) do video-clip only. Nothing handles mixed-asset (video + still + text) repurposing with platform-specific rules.
Urgency
OpusClip's 2024 scale (reported $100M+ valuation, millions of MAU) + Descript's continued growth prove the category. But 2025 AI commoditization is pushing toward universal AI-video tools; a platform-aware specialist still has a window.
Frequency
Project-spike — each shoot triggers a repurposing session (30–60 min). ~4–8 sessions/week for serious creators.
Figures marked (verify) or (estimated) come from training-data benchmarks; re-verify against live reports before external use.
Market
TAM
$3.6B AI-assisted content production 2024 (Grand View Research 2024, verify); cross-platform repurposing subset ~$420M and growing ~40% CAGR post-OpusClip
SAM
$280M — EN-speaking creators + small brands producing ≥3 posts/week
SOM (3-yr)
$20–$35M ARR in 3 yrs — 80k–120k users at $220–$250 ARPU
Revenue model
Subscription with AI-usage meter. Free tier limited to 3 repurposes/month; paid tiers unlock unlimited and advanced features.
Pricing
Creator $19/mo or $149/yr (unlimited repurpose + basic AI captions), Pro $49/mo (brand kit + custom AI voice + priority queue), Studio $149/mo (team of 3 + asset library).
ARPU
Y1 ~$160; Y2 ~$220 with Pro-tier upgrades
Landscape
Competitors
- OpusClip
Category leader in AI video clipping; $100M+ valuation 2024 (verify). Video-only, no stills.
- Munch
Clip + caption AI; ~$2M ARR (verify). Smaller scale.
- Descript
Podcast + video editor with AI; ~$50M ARR (verify). Editor-first, not repurpose-first.
- Captions.ai
AI video captions + avatars; strong iOS. ~$10M ARR (verify).
- Canva Magic Studio / Adobe Express AI
Design-suite AI features. Massive distribution; lack platform-specific preset depth.
Our wedge
Platform-aware repurposing: knows TikTok prefers hook-first vertical with captions in the top third, YT thumbnails need face + emotion + text, IG carousel works with 3-5 frames + specific caption length. Competitors do generic format conversion; we encode platform algorithmic rules.
Moat
Platform-rules dataset (continuously updated by telemetry on which variant performed best) compounds per customer. Brand-kit persistence + voice models are per-user moat; platform presets are per-app moat.
Sources
Figures marked (verify) or (estimated) come from training-data benchmarks; re-verify against live reports before external use.
Current state
Stage
IdeationM1
Beta — 200 creators, video + stills + caption repurpose loop.
M3
Public launch; 4k paying users, ARR $700k.
M6
Brand-kit + voice-clone features; 20k users, ARR $4M.
CAC
$25–$75 via creator-partnerships + organic; paid Meta $65–$140 (estimated)
LTV
$180–$460 (12–24 mo life; AI-tool churn is high Y1)
Payback
4–9 months
Risk surface
Risks
- AI inference cost for video repurposing is structurally heavy — gross margin risk if pricing undercuts cost.
- Canva / Adobe bundle similar features with distribution advantage.
- Platform-algo changes (TikTok feed, YT Shorts) invalidate presets overnight; requires active maintenance.
- OpusClip adds stills + brand-kit — category convergence compresses wedge.
- Copyright on AI-generated derivatives of user content — need training-data licensing airtight.
Regulatory
- FTC 2024 AI Marketing Guidance: "AI-generated" disclosure rules; cannot pass AI content as human without labeling.
- Copyright on AI training data — DMCA exposure if we train on user content without explicit license.
- EU AI Act (2025) transparency obligations for generative systems above certain thresholds.
- DMCA safe-harbor compliance for user-uploaded content.
- GDPR / CCPA on user-asset data handling.
Figures marked (verify) or (estimated) come from training-data benchmarks; re-verify against live reports before external use.