LaunchFast

Hassam had zero audience and zero distribution when he had the idea. Instead of trying to build an audience from scratch, he recalled that two years prior he had purchased a coaching program called Legacy X, which had thousands of active Amazon sellers in its community. He reached out to Legacy X directly and pitched them: "I can build you a better product research tool than anything on the market — give me 48 hours, and if you like what you see, we can partner. No strings attached, you have nothing to lose." They agreed, and he spent 48 hours straight building the MVP. He structured the 48-hour build in phases: hours 1–4 mapping Legacy X's existing systems and SOPs; hours 5–12 building core features in Cursor; hours 13–20 testing and fixing bugs; hours 21–30 polishing UI and branding (drawing on his Amazon branding experience); hours 31–40 testing edge cases; and finally recording a demo video and sending it over. He woke up the next day to a call saying "quit your job, we're doing this full-time." The partnership gave him instant access to Legacy X's entire customer base in exchange for an equity share (implied ~50%). All early users came through this single partnership channel — Legacy X's coaching community of Amazon sellers. Because the product was built specifically for that audience's exact workflows, conversion was high and all users were paying from day one.

Deep niche domain knowledge as an active Amazon private label seller — he understood seller workflows, pain points, and data needs from A to Z, which most developers lack. He also had a prior personal relationship as a paying customer of Legacy X, giving him a credible warm introduction to his distribution partner.

Partnership with Legacy X coaching company — traded equity for instant access to thousands of active Amazon sellers

10–12 prior projects in unrelated spaces (e.g., lyric AI video generators, automating job applications) all failed or never reached production, attributed to lack of domain knowledge in those areas. Building audience/distribution from scratch (Reddit, Twitter, etc.) was explicitly avoided as too slow.