Used car marketplace with full-stack operations and curated inventory
Spinny operates a vertically integrated used car platform across 13 Indian cities, built on a tech stack dominated by analytics (Tableau, Power BI, Looker, SQL) and performance marketing (Google, Meta, YouTube). The project list reveals a company optimizing two parallel engines: paid acquisition (Google/Meta/YouTube campaign tuning, new channel discovery) and internal matching—pricing algorithms, dealer discovery, and inspection workflows. Current hiring skews toward product and marketing seniority, suggesting they're moving beyond inventory curation into growth strategy and dealer-side tools.
Spinny is an end-to-end marketplace for buying and selling used cars in India, operating a full-stack model that combines online discovery (mobile/web platform), physical inspection hubs, and dealer partnerships. The company enforces a 200-point quality check on all vehicles and offers a 5-day money-back guarantee. Revenue flows from retail sales (consumer buyers) and a B2B auction ecosystem for dealers. Operational footprint spans Delhi-NCR, Bengaluru, Hyderabad, Pune, Mumbai, Kolkata, Chennai, Ahmedabad, Jaipur, Chandigarh, Indore, Coimbatore, Lucknow, and Kochi.
Spinny relies on SQL, Python, R for data work; Tableau, Power BI, Looker for analytics; Google Ads, Meta Ads, YouTube for marketing; and WordPress, HTML, CSS for web properties.
Active projects include a dealer discovery platform, pricing/recommendation systems, B2B auction ecosystem, paid campaign optimization (Google/Meta/YouTube), A/B testing framework, and data instrumentation to support user growth and transaction velocity.
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