Subscription Sensei helps users avoid overspending on streaming subscriptions by generating an optimal, month-by-month subscription plan based on what they want to watch, their priorities, and a fixed monthly budget.
Instead of subscribing to everything at once, users get a calendar-accurate plan that intelligently rotates subscriptions while respecting real watch-time constraints.
Hackathon prototype focused on algorithmic correctness and constraint handling.
- Accepts a watchlist of movies and TV series
- Supports priority levels (High / Medium / Low)
- Assumes realistic watch time (≈ 2 hours/day)
- Enforces integer subscription months only
- Treats monthly budget as a hard constraint
- Prevents overlapping watch timelines
- Automatically rotates subscriptions to reduce waste
- Generates a clear multi-month viewing plan
- Priority affects order, not duration (real watch time is never inflated)
- Budget is non-negotiable (monthly spend never exceeds the user limit)
- Fair scheduling (items with the same priority progress together)
- Human-realistic timelines (one person, one schedule, no overlaps)
- No unnecessary splitting (a series is completed within a month if it fits)
The goal is correctness and trustworthiness, not feature bloat.
URL: https://subscriptionsensei.lovable.app/
- React
- TypeScript
- Vite
- Tailwind CSS
- shadcn/ui
- TMDB API (content metadata)
- Node.js
- npm
git clone https://github.com/curiousvolt/SubscriptionSensei.git
cd SubscriptionSensei
npm install
npm run dev
This project was vibe-coded using Lovable for rapid prototyping and iteration, with a strong focus on manual reasoning around algorithms, constraints, and edge cases.