Turn vague political promises on water & energy into plain-English bill impacts
Politicians like Andy Burnham use vague terms like 'greater public control' of water and energy without explaining what it actually means in practice.
PolicyDecoder uses AI to instantly translate statements like Andy Burnham's 'greater public control' into concrete scenarios. It shows projected changes to Greater Manchester water bills, leakage rates, and energy costs under different interpretations. Users generate shareable reports that cut through spin and empower informed local advocacy.
Politically engaged UK voters and Greater Manchester residents frustrated with water utilities
Hyper-local dataset of United Utilities financials, sewage events, and GM-specific political history that no national fact-checker possesses.
supportive
Paste any political quote and receive structured breakdown with 3-5 realistic interpretations
Shows projected monthly bill changes for average GM households under each scenario
Real United Utilities performance metrics (leakage, sewage spills, executive pay)
Beautiful one-click reports with charts ready for councillors or social media
Save and organize all your analyses with searchable notes
0-100 score based on specificity, costed commitments, and measurability
Side-by-side clarity and delivery scores for Burnham vs opposition
Notifications when local politicians mention water or energy
Browse and remix other users' most insightful analyses
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| postcode | text | Yes |
| name | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| input_text | text | No |
| output_json | text | No |
| clarity_score | int | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| politician | text | No |
| original_text | text | No |
| source_url | text | Yes |
| utility_type | text | No |
| date | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| stripe_subscription_id | text | Yes |
| status | text | No |
| tier | text | No |
| current_period_ends | timestamp | Yes |
Relationships:
/api/analyzeSend statement to OpenAI and return structured scenarios with bill calculations
/api/statementsFetch latest tracked political statements
/api/reports/generateGenerate PDF from analysis
/api/dashboard/metricsReturn Greater Manchester utility performance data
3 analyses/month
None
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 180 | 7% | $240 | $2,880 |
| Month 6 | 1,650 | 11% | $3,450 | $41,400 |
We translate Andy Burnham's vague promises into clear pound-and-pence impacts using real Greater Manchester data.
1. Post in the 'Greater Manchester Against Sewage' Facebook group offering 50 free Pro accounts for feedback. 2. DM 30 Manchester-based political Twitter accounts who regularly discuss utilities with personalized video walkthroughs. 3. Email 5 active members of the Greater Manchester Combined Authority scrutiny committee offering co-branded reports.
Excellent voting record tracker
No policy simulation or local utility data
We focus exclusively on utility policy with financial modelling
Strong reputation in fact-checking
Reactive rather than predictive, no bill calculators
We show 'what it means for your wallet' with numbers
Curated dataset of 8 years of United Utilities performance metrics linked to political statements, plus user-generated local evidence that compounds over time
Sewage scandal + cost of living crisis + upcoming Greater Manchester mayoral election have created peak public anger and demand for concrete answers
Politicians claiming misrepresentation
All outputs include source quotes, disclaimers, and 'multiple possible interpretations' framing
Niche audience too small
Expand to all UK combined authorities after GM validation
AI hallucination on numbers
Ground every output in public financial data with citation footnotes
Success: 150 email signups in 10 days
Success: 65% of users return for 2+ analyses within 7 days
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