Before its inbound engine was established, Paperflight dedicated a team to engaging in forums for its first two years. By answering questions and connecting with users discussing their specific pain points, they generated highly qualified leads and kickstarted their growth.
Despite prospects loving their prototype and explicitly stating "we will buy it," none initially converted. This taught the founders a crucial lesson: while positive validation is encouraging and useful for feedback, verbal commitments from early prospects should not be counted as revenue.
By not raising a Series A, Paperflight retained the freedom to make unconventional product decisions. For instance, they built a content creation tool instead of a trendy coaching feature, waiting years until AI technology could truly disrupt the coaching space on their own terms.
In its early days, the team performed the heavy lifting of onboarding, including cleaning, sorting, and tagging all of a new customer's content. This investment was a crucial learning opportunity, providing deep insights into customer workflows and ensuring the product's success.
Paperflight competes by occupying a strategic middle ground. They argue they are nimble enough to adopt AI and re-architect quickly, unlike slow legacy giants. At the same time, they offer the industry experience and reliability that new, unproven AI-native point solutions lack.
An early inbound lead from S&P Global, a Fortune 500 company, came through an Intercom chat ping. The founders were so early in their journey that they initially dismissed it as a prank from a friend, almost missing a major, reassuring customer win.
The team invested 8-10 hours researching each prospect to build a fully customized demo environment. This high-effort, non-scalable strategy created a powerful "aha moment" that dramatically increased win rates, validated by A/B testing against generic demos.