Personalized dashboards revealing Brexit's true cost to you and the UK
Ten years after the Brexit vote, Britain has become a swamp of lies and disinformation that has battered the economy and steadily darkened the national conversation.
BrexitBalance lets Guardian readers input their personal details to see exactly how Brexit has impacted their finances, local economy, and daily life. It combines this with a fact library to counter disinformation with data from trusted sources like the ONS and IFS. Users can generate reports to share with family and colleagues still trapped in the web of leave-era promises.
Guardian-reading UK voters who opposed Brexit and remain disillusioned by its decade-long consequences
Hyper-personalized impact calculations based on postcode, profession and spending habits paired with a decade-specific archive of Brexit lies mapped to their measurable outcomes.
supportive
Input postcode, job sector and spending to receive tailored cost estimates
Recharts showing GDP, trade, wages and NHS impacts with comparison toggles
Searchable archive of 250+ documented Brexit claims with evidence and outcome tracking
Create branded, shareable reports combining personal impact and national facts
Curated email with new data releases and relevant myth updates
Anonymous anonymized stories from other users in similar demographics
Notifications when ONS, IFS or Bank of England release new Brexit-relevant stats
Model 'what if we had remained' scenarios against current reality
Contextual Q&A grounded in the fact database
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| postcode | text | Yes |
| job_sector | text | Yes |
| income_bracket | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| claim | text | No |
| truth | text | No |
| category | text | No |
| source_url | text | Yes |
| impact_value | int | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| title | text | No |
| pdf_url | text | Yes |
| generated_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| stripe_subscription_id | text | Yes |
| status | text | No |
| current_period_ends_at | timestamp | Yes |
Relationships:
/api/dashboardReturns personalized impact data and charts
/api/facts/searchFull-text search across myth database
/api/reports/generateTriggers PDF generation and storage
/api/stripe/webhookHandles Stripe subscription events
/api/profile/updateUpdates user demographic data for recalculations
National data only
None
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 180 | 5% | $261 | $3,132 |
| Month 6 | 1,850 | 8% | $4,292 | $51,504 |
See your personalized impact and arm yourself with undeniable facts. No spin. Just data.
Seed 50 Guardian readers via targeted comments on Brexit articles offering lifetime Pro in exchange for video testimonial. Post value-first thread in r/ukpolitics with free public dashboard link that funnels into waitlist. DM 15 prominent anti-Brexit academics and journalists on Twitter offering free Premium + co-branded report.
Broad UK fact-checking reputation
No personalization or economic modeling
Deep Brexit-only focus with personal wallet impact
Excellent economic research
Static PDFs, no user dashboards
Interactive, personalized, consumer-facing experience
Proprietary longitudinal mapping of 10 years of specific Brexit claims to measurable outcomes. Network effects from user impact stories improve personalization accuracy.
Exactly ten years of data creates statistically meaningful before/after analysis. Public disillusionment peak coincides with feasible solo-dev AI-assisted personalization.
Niche may be too small for $10k MRR
Expand scope to general political disinformation after MVP validation
Official statistics lag or get revised
Use multiple sources and clearly label uncertainty intervals
Personalization math proves inaccurate
Start broad, iterate with user feedback and transparency disclaimers
Success: 15%+ of respondents say they would pay £29/mo
Success: 400 signups in 14 days
Success: 40 paying users in first 30 days
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