ContextWeave

Turn raw facts into trusted narratives with cultural context

Score: 7.9/10BJMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

West African journalists are overwhelmed by AI-powered disinformation that erodes public trust and threatens social cohesion.

Solution

ContextWeave helps journalists enrich drafts with verified historical, cultural, and social context to strengthen stories against disinformation. The mobile/web tool analyzes article drafts and suggests trustworthy background that counters common misleading narratives in West African discourse.

Target Audience

West African journalists and media professionals covering sensitive political and social topics

Differentiator

Focus on constructive storytelling and context enrichment rather than just debunking, using a curated library of 'narrative anchors' developed with West African historians and sociologists.

Brand Voice

supportive

Features

Draft Analyzer

must-have50h

Upload article draft and receive context enhancement suggestions

Narrative Anchor Library

must-have60h

Curated, verified historical and cultural facts relevant to common topics

Disinfo Counter Suggestions

must-have40h

Specific recommendations that preempt common disinformation attacks

One-Click Context Insertion

must-have30h

Seamlessly add verified context paragraphs to drafts

Trust Score

must-have35h

Measures how resistant the story is to disinformation attacks

Citation Manager

must-have25h

Automatically formats and verifies all sources

Collaborative Editing

nice-to-have40h

Multiple journalists can weave context together

Story Templates

nice-to-have25h

Pre-built structures for common sensitive topics

Export to CMS

nice-to-have30h

Direct export to WordPress and other editorial systems

Total Build Time: 335 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
organizationtextYes
created_attimestampNo

Relationships:

  • articles references users(id)
  • subscriptions references users(id)

articles

ColumnTypeNullable
iduuidNo
user_iduuidNo
titletextYes
contenttextNo
trust_scoreintYes
created_attimestampNo

Relationships:

  • user_id references users(id)

anchors

ColumnTypeNullable
iduuidNo
titletextNo
contenttextNo
categorytextNo
verified_bytextYes
embeddingtextYes

Relationships:

  • article_anchors references anchors(id)

article_anchors

ColumnTypeNullable
article_iduuidNo
anchor_iduuidNo
relevance_scoreintNo

Relationships:

  • article_id references articles(id)
  • anchor_id references anchors(id)

API Endpoints

POST
/api/enhance

Analyze draft and return context suggestions

🔒 Auth Required
GET
/api/anchors

Search context anchors by topic or embedding

🔒 Auth Required
POST
/api/articles

Save or update article draft with enhancements

🔒 Auth Required

Tech Stack

Frontend
Flutter
Backend
Python with FastAPI
Database
PostgreSQL with pgvector
Auth
Supabase Auth
Payments
Paystack
Hosting
Railway + Supabase
Additional Tools
LangChain for context chainingSentence Transformers for embeddings

Build Timeline

Week 1: Core infrastructure

35h
  • Project setup and auth
  • Database with vector support
  • Basic Flutter UI

Week 2: Anchor library and search

45h
  • Initial anchor dataset
  • Vector search implementation
  • Search UI

Week 3: Draft analysis engine

50h
  • Integration with LLM for gap analysis
  • Suggestion generation
  • Trust scoring algorithm

Week 4: Editor experience

40h
  • Rich text editor with inline suggestions
  • One-click insertion
  • Citation manager

Week 5: Polish and additional features

35h
  • Collaboration basics
  • Export functionality
  • Mobile optimization

Week 6: Payments, testing, launch

30h
  • Subscription system
  • Beta testing
  • Landing page and assets
Total Timeline: 6 weeks • 255 hours

Pricing Tiers

Solo

$0/mo

3 articles per month

  • 3 articles/month
  • Basic suggestions

Reporter

$25/mo

None

  • Unlimited articles
  • Full anchor library
  • Trust scoring
  • Export options

Desk

$79/mo

Up to 5 journalists

  • Everything in Reporter
  • Team collaboration
  • Custom anchor library
  • Analytics

Revenue Projections

MonthUsersConversionMRRARR
Month 114012%$420$5,040
Month 698021%$5,145$61,740

Unit Economics

$11
CAC
$165
LTV
7%
Churn
86%
Margin
LTV:CAC Ratio: 15.0xExcellent!

Landing Page Copy

Weave unshakeable context into every story

Stop fighting disinformation. Start publishing stories so deeply contextualized that disinformation slides right off.

Feature Highlights

AI context suggestions
Curated West African anchors
Trust scoring
Seamless editor integration

Social Proof (Placeholders)

"'My story on fuel subsidy removal went from vulnerable to bulletproof in 20 minutes.' — Olumide O., Nigerian Tribune"
"'This isn't just a tool, it's like having a historian on staff.' — Aminata Camara, Guinean journalist"

First Three Customers

Approach editorial desks at leading outlets (The Cable, Daily Maverick West Africa, Jeune Afrique) offering free Desk tier for one quarter in exchange for feedback and logo placement. Partner with journalism training organizations like the Thomson Reuters Foundation West Africa program to integrate into their curricula.

Launch Channels

Product Huntr/journalismLinkedIn media professionalsWest African Editors ForumJournalism education networks

SEO Keywords

context tool for journalistsadd historical context to newsnarrative building against disinformationjournalism context library africastrengthen news stories with background

Competitive Analysis

Perplexity

perplexity.ai
Freemium
Strength

Strong general research

Weakness

No structured narrative anchors or West Africa expertise

Our Advantage

Curated, verified context library built specifically for regional journalism

Grammarly

grammarly.com
Subscription
Strength

Excellent writing assistance

Weakness

No fact/context layer for sensitive topics

Our Advantage

Goes far beyond style to strengthen substantive accuracy and resilience

🏰 Moat Strategy

Curated 'narrative anchor' library continuously refined by West African subject matter experts and top journalists, creating high-quality training data few competitors can replicate.

⏰ Why Now?

The combination of widespread LLM access for generating propaganda and declining trust in media has created demand for tools that don't just check facts but actively strengthen narratives with deep context.

Risks & Mitigation

marketmedium severity

Journalists prefer speed over depth

Mitigation

Design for minimal friction with strong one-click features

technicalmedium severity

Suggestions may introduce bias

Mitigation

Diverse anchor curation team and transparency about sources

Validation Roadmap

pre-build15 days

Workshop with 15 editors on context needs

Success: Strong validation of pain point and pricing tolerance

mvp25 days

Test with newsrooms on real upcoming stories

Success: At least 60% of suggestions rated useful

launch60 days

Launch with case studies from beta partners

Success: 800 users and $4,000 MRR by month 4

Pivot Options

  • Full AI writing co-pilot for African media
  • Educational tool for journalism schools
  • Enterprise knowledge management for media groups

Quick Stats

Build Time
255h
Target MRR (6 mo)
$5,500
Market Size
$9.8M
Features
9
Database Tables
4
API Endpoints
3