UK Car Modification Database
by Kevin Pieroni · raised 100 credits · spent 12 credits · pool 88 credits
Think "Wikipedia meets PCPartPicker" for cars. Users select: Make Model Year Then browse real modifications. Example For a Stelvio Quadrifoglio: Engine: ECU tune Downpipes Intake Suspension: Lowering springs Coilovers Brakes: Pad options Disc options For each mod: Cost Difficulty Reliability impact Insurance impact Estimated power gain Community Features Users upload: Dyno sheets 0-60 times Quarter mile times MPG before/after Revenue Affiliate links: Demon Tweeks AutoDoc Euro Car Parts Tegiwa Why it could work There is no central structured database of modifications across all vehicles.
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Sign in to backMilestones — est. total target 70,200 credits
Comprehensive product requirements document and technical design: full database schema (makes/models/years/trims, mod categories, fitment compatibility), a canonical modification taxonomy (engine, drivetrain, suspension, brakes, exhaust, aero, interior, electronics), standardized rating rubrics for cost bands, install difficulty, reliability impact, insurance impact, and power gain methodology, plus community data submission specs (dyno sheets, 0-60, quarter mile, MPG logs), moderation policy, and affiliate integration architecture for Demon Tweeks, AutoDoc, Euro Car Parts, and Tegiwa.
Working full-stack web application: database migrations implementing the schema, REST/GraphQL API, vehicle picker (make/model/year/trim), mod browsing UI grouped by category with cost/difficulty/reliability/insurance/power fields, faceted search and filtering, mod detail pages, build-list ('parts picker') feature letting users assemble and share a mod list with aggregate cost and estimated power totals, seed scripts, and test suite. Delivered as documented code (Next.js + Postgres or equivalent) with README and deployment guide.
The core data asset: structured JSON/SQL seed data covering ~600 high-interest vehicles (enthusiast staples across European, Japanese, American makes — e.g. Stelvio Quadrifoglio, Golf GTI/R, Civic Type R, M3/M4, Miata, Mustang, WRX/STI). Each vehicle gets 20-40 modification entries across all categories, each with researched-style fields: typical price range, install difficulty rating with notes, reliability impact assessment, insurance disclosure impact, estimated power gain where applicable, fitment notes, and known brand options. Approximately 18,000 structured entries with prose notes, clearly flagged as estimates pending community verification.
Code and specs for user-generated data: account system, submission flows for dyno sheets (with structured fields: shop, dyno type, conditions, baseline vs modified), 0-60 and quarter-mile logs, before/after MPG tracking, photo/build threads, a verification and reputation system (community voting, flagging, moderator queue), and aggregation logic that rolls verified user data into per-mod statistics (median real-world gain, real cost distribution). Includes moderation tooling UI and anti-spam measures.
Implementation of revenue features: affiliate link management system mapping each mod entry to retailer SKUs at Demon Tweeks, AutoDoc, Euro Car Parts, and Tegiwa with proper tracking parameters; adapter architecture for retailer feeds/APIs with documented scrapers where feeds are unavailable; price comparison widget on mod pages; click and conversion analytics dashboard; and FTC/ASA-compliant disclosure components. Includes business model documentation projecting revenue per category.
Launch-ready content package: 40 in-depth model-specific modding guides (e.g. 'Complete Stelvio Quadrifoglio Tuning Guide') optimized for search, 15 evergreen explainers (what an ECU tune actually does, coilovers vs springs, insurance implications of modding), full user documentation and contribution guidelines, API documentation for third-party access, and a go-to-market plan covering enthusiast forum and subreddit seeding strategy.