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Rujul Zaparde

Showing 13 of 3 transcripts.

  1. Y Combinator1 min

    Zip co-founder Rujul Zaparde on going from 0 to 1 with enterprise sales

    Rujul Zaparde

    Founders validated their business concept by acquiring their first ten customers exclusively through cold LinkedIn outreach, deliberately avoiding referrals or personal networks. This disciplined strategy, which combined daily connection limits with advisory-style discovery calls, generated a 107-page synthesis of market intelligence while establishing a permanent outbound sales bias that dominates the company's current acquisition model.

  2. Y Combinator25 min

    Building A $2 Billion SaaS Company: Lessons From A Two Time Founder

    Rujul Zaparde, Dalton Caldwell, Rajul

    Rajul, the former founder of the asset-heavy startup Flight Car and a former Airbnb product manager, founded the B2B procurement platform Zip in 2020 after applying operational lessons learned from his prior failure and his tenure at Airbnb. Leveraging a strategy of direct cold outreach and early paid pilots to validate demand, the company recently secured a $2.2 billion Series D valuation with $370 million in total funding. Zip now operates as a scalable software solution serving 350 employees while avoiding the negative feedback loops of low margins that previously hindered Rajul's earlier venture.

  3. 20VC with Harry Stebbings1h 2m

    Rujul Zaparde: Why Hiring Inexperienced People is Better | E1144

    Rujul Zaparde, Harry Stebbings

    Zip co-founders Rajul Garg and Lou Merck identified friction in decentralized software procurement to launch a B2B SaaS platform targeting the specific workflow gap between employee spending initiation and centralized CFO approval. By adhering to a first-principles investment philosophy that prioritizes rapid iteration and founder-led sales validation, the team successfully refined their product-market fit while resisting the temptation to hire aggressively or pursue costly enterprise pilots. Their strategy centers on leveraging AI to automate future approval workflows, aiming to transform the manual, fragmented procurement landscape into a streamlined, high-speed ecosystem by 2044.