I went from a frustrated Amazon FBA seller buried in spreadsheets to a full-stack founder shipping my own SaaS. I didn't have a CS degree or a fancy network. Here's the story of how I turned my own business pain into the products I build today.
I can’t believe Ill touch grass for a week and will miss both a Claude Code hackathon and Cursor Toronto at @newsystems_ Who knew vacay would feel depressing
Yeah, I don’t think most people realize how massive this is for FBA sellers or anyone just stepping into private label for Amazon. Being able to talk to something naturally and get instant output is a total game changer compared to the old way of downloading reports, juggling…
I never consider the possibility of failure Have idea → "How do I do it?" → Start problem-solving There's always a way to do it Question is: will you commit? Most people plan exit strategies before starting, I just start What idea died because you planned for failure…
Best month ever: $25K in Amazon sales Meanwhile I'm building the @LaunchFastFBA MCP server Watching Claude analyze my entire product database is wild This is what I mean by AI agents amplifying execution What's your biggest win this month?
8 months ago Claude told me something I'll never forget: "Because you're not a developer, your imagination isn't limited by technical constraints" I don't know what's "impossible", so I just try to build it 😂 Then figure out it was possible all along What "impossible" thing…
Changed our settings page to offer debugging calls Churn dropped: 15% → 12% Turns out users don't just need features, they need confidence they can succeed! What small change reduced your churn?
$25K MRR SaaS before learning browser caching "Real devs" would roast me for this But here's the thing: I shipped for users first & optimized for scale second Build → Launch → Learn → Optimize What optimization did you discover embarrassingly late?
Claude Sonnet 4.5 dropped today. Tested it on a production feature. The difference: • Reads relevant codebase before touching anything • Stays sharp after context compaction (finally) • Self-initiates plan mode even in auto-edit Context fills faster, but the tradeoff?…
500+ LaunchFast files analyzed by AI agents this week They documented features I forgot I built The future: AI that knows your codebase better than you do What AI workflow changed how you work?
30% of users drop off after clicking "pay" The "magic click" reality hits: this costs real money Now testing psychological prep before checkout What user behavior surprised you most?
350 LaunchFast users taught me something counterintuitive: 54% use product research, 49% market analysis (obvious features) But 32% export raw data - a "boring" feature with huge hidden demand What unsexy feature do your users actually love?
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