TrueCost
The definitive UK car ownership guide that unmasks hidden expenses to help you calculate the real price of your next vehicle.
🚗 Project TrueCost: Radical Transparency
Status: Lean Implementation | Market: UK Automotive | Stack: Next.js 16 / Supabase
➡️ Want to check it out for yourself? https://truecost-mu.vercel.app/
01. Strategic Discovery | The “Why” & “Who”
Mission: To empower UK car buyers with radical financial transparency by unmasking the “ghost costs” of vehicle ownership.
Vision: To be the mandatory first click in every UK car-buying journey—moving the conversation from “What is the price?” to “Can I actually afford this?”
📊 The “Why Now” (Market Mapping)
- The Cost-of-Living Crisis: Car insurance premiums and fuel prices are at record highs. Buyers are no longer “window shopping”; they are “budget-protecting.”
- The Regulatory Maze: Between ULEZ expansions, complex VED (Road Tax) bands, and the upcoming 2025/28 EV tax shifts, the “simple” act of taxing a car has become a math problem most people fail.
- The Incentive Gap: Dealerships and finance companies have zero incentive to show you that a £15,000 BMW might cost more over 3 years than a £20,000 Toyota.
💡 “Don’t just buy a car. Own the cost.”
02. Problem Synthesis | The “What”
The Core Insight: Users aren’t just looking for data; they are looking for certainty. The “Surprise Tax” (like the £440 expensive car supplement) is an emotional and financial trauma for the unsuspecting buyer.
🔍 The Information Gap
| Feature | The Industry Approach | The TrueCost Approach |
|---|---|---|
| Road Tax (VED) | Hidden in small print or “Year 1 only.” | 10-year forecast including the £40k+ supplement and pay per mile TAX |
| Maintenance | “Full Service History” (vague). | MOT-driven predictive signals (Brake/Tyre wear). |
| Fuel/Electric | Lab-tested MPG (unrealistic). | Real-world blended tariff calculations (Home vs. Public). |
| Depreciation | Ignored until trade-in day. | Fuel-type specific curves (showing the “Cash Loss”). |
03. Solution Ideation | The “How”
We explored several ways to deliver this data before landing on a Reg-Lookup Engine.
- The “Static Guide” (Rejected): Too hard to keep updated with fluctuating tax/fuel rates.
- The Browser Extension (Rejected): High friction; doesn’t work on mobile while standing on a dealer forecourt.
- The Deterministic Engine (Selected): A high-speed, Next.js-powered web app that uses the Registration Plate as a unique key to unlock a 5-year TCO (Total Cost of Ownership) dashboard.
04. Lean Implementation | The “Start”
The infrastructure is built to be stateless and fast, relying on live DVLA/DVSA data rather than static databases.
🛠️ The Technical Moat (The Engine)
The product differentiates itself through its Deterministic Calculation Engine (/lib/):
- VED Era Detection: Automatically sorts cars into one of three tax eras (Pre-2001, 2001-2017, Post-2017) to prevent “tax shock.”
- MOT Signal Extraction: We don’t just show the MOT result; we parse the text for “advisories” to inflate maintenance budgets (e.g., “Thin brake pads” = 1.3x maintenance multiplier).
- Smart Caching: Using Redis with a 1-hour TTL to ensure speed without hitting API rate limits.
Current Win: The “Expensive Car Supplement” detector. If a car’s list price was >£40k, we calculate the 6-year surcharge that most buyers miss.
Strategic Decision:
- Phase 1 (Current): Fixed curves based on model.
- Phase 2 (Immediate): Scraping public market data (AutoTrader/) to build model-specific curves. Building a repository of service bulietins from manufacturers, that contain information about servicing costs for different models.
🎨 Visual Identity & Design
- The “Result” Page: A toggleable cost layer (Fuel, Tax, Maintenance, Depreciation) that lets users see exactly where their money is “leaking.”
- The “Persona” Entry: Tailoring the mileage and driving style to the user (The Commuter vs. The Weekend Driver) to ensure the 5-year forecast is personal, not generic.

05. Growth & Optimization | The “Scale”
The North Star Metric: Decision Confidence Score.
🚀 The Phase 3 Roadmap
- Predictive Maintenance ML: Moving from heuristic keyword matching to a probabilistic model trained on the national MOT corpus.
- “Tax-Watch” Email Alerts: Utilizing the
email_subscriberstable to notify users exactly how much their specific car’s tax will rise after the October Budget. - B2B Fleet Planner: Helping small business owners compare the “real” cost of transitioning a fleet of 5 vans from Diesel to Electric (including BIK tax and eVED).
- Premium PDF Reports: Professional-grade “Vehicle Health & Cost” audits for high-value used car purchases.