plan.md

# comprehensible.net — The Discovery Layer For Global Comprehensible Input

> Build `comprehensible.net` as the global discovery and grading layer for comprehensible-input video: the product learners use to find the next right video, creators use to get discovered, and teachers use to assemble level-safe playlists.

## Final Stack
- **Frontend/App:** Next.js
- **Reason:** recommendation state, saved queues, progress tracking, creator claims, subscriptions, and teacher tools all need app behavior
- **Core backend:** transcript ingestion, grading engine, metadata graph, recommendation layer, and creator analytics

## Category Ambition
Do not aim to be “Dreaming Spanish for many languages.”

Aim to become:
- the platform layer the CI ecosystem depends on
- the grading authority across creators and languages
- the recommendation engine learners trust more than YouTube

## Core Wedge
- multilingual from day one
- cross-creator level calibration
- transcript-derived language difficulty metrics
- teacher-ready packaging
- creator-side growth tooling

## Product Surface
### Learner layer
- browse by language, level, and topic
- saved queue
- progress tracking
- next-watch engine

### Teacher layer
- class playlists
- lesson-ready bundles
- age/topic/duration filters

### Creator layer
- claim profile
- grading and metadata enhancement
- analytics and discovery benchmarks

## Revenue Model
- learner subscription
- creator premium tools
- teacher/school plan
- creator traffic and partnership fees later

## AI Automation
- transcript cleanup
- level scoring
- vocabulary density and speaking-speed analysis
- watch-next recommendations
- creator page enrichment

## Build Roadmap
### Phase 1
- Spanish + 4 to 5 other languages
- public search and grading
- creator profiles

### Phase 2
- learner accounts
- saved queues and progress
- creator claims

### Phase 3
- teacher mode
- subscription
- creator analytics

### Phase 4
- recommendation moat
- institutional sales
- creator partnership ecosystem

## Final Thesis
`comprehensible.net` should become infrastructure for a fragmented global learning niche, not just another language site.

PREVIEW

comprehensible.net — The Discovery Layer For Global Comprehensible Input

Build comprehensible.net as the global discovery and grading layer for comprehensible-input video: the product learners use to find the next right video, creators use to get discovered, and teachers use to assemble level-safe playlists.

Final Stack

Frontend/App: Next.js
Reason: recommendation state, saved queues, progress tracking, creator claims, subscriptions, and teacher tools all need app behavior
Core backend: transcript ingestion, grading engine, metadata graph, recommendation layer, and creator analytics

Category Ambition

Do not aim to be “Dreaming Spanish for many languages.”

Aim to become:

the platform layer the CI ecosystem depends on
the grading authority across creators and languages
the recommendation engine learners trust more than YouTube

Core Wedge

multilingual from day one
cross-creator level calibration
transcript-derived language difficulty metrics
teacher-ready packaging
creator-side growth tooling

Product Surface

Learner layer

browse by language, level, and topic
saved queue
progress tracking
next-watch engine

Teacher layer

class playlists
lesson-ready bundles
age/topic/duration filters

Creator layer

claim profile
grading and metadata enhancement
analytics and discovery benchmarks

Revenue Model

learner subscription
creator premium tools
teacher/school plan
creator traffic and partnership fees later

AI Automation

transcript cleanup
level scoring
vocabulary density and speaking-speed analysis
watch-next recommendations
creator page enrichment

Build Roadmap

Phase 1

Spanish + 4 to 5 other languages
public search and grading
creator profiles

Phase 2

learner accounts
saved queues and progress
creator claims

Phase 3

teacher mode
subscription
creator analytics

Phase 4

recommendation moat
institutional sales
creator partnership ecosystem

Final Thesis

comprehensible.net should become infrastructure for a fragmented global learning niche, not just another language site.

AI ASSISTANT

Ask AI to research, improve, or generate content.

Try: "Research competitors for this niche"

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