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Founder @ Strava AI
2h • 🌍
8 months ago, I left my $200k Big Tech job to build an AI startup. Here's what nobody tells you about the reality... 🧵
🚀 The journey so far (#BuildInPublic style):
• Month 1-2: Pure excitement, built 3 MVPs, all failed
• Month 3-4: Reality check - customers don't care about your tech stack
• Month 5-6: Found product-market fit accidentally
• Month 7-8: $50k MRR and growing 40% month-over-month
💡 The biggest breakthrough came when I stopped building "cool AI features" and started solving ONE painful problem really well.
Lessons that saved my startup:
• Talk to 100 potential customers before writing a line of code
• Your first idea will be wrong (and that's okay)
• AI is a tool, not a business model
• Distribution is greater than Product (harsh truth)
• Building in public accelerated everything 10x
Biggest pitfalls I fell into:
• Spending 3 months perfecting the UI (nobody cared)
• Building features customers said they wanted (they lied)
• Thinking AI = automatic success (it doesn't)
• Not charging enough from day 1 (undervalued ourselves)
The moment everything changed: A frustrated customer said "I don't care how smart your AI is, I just need this ONE thing to work perfectly."
Now we're default-alive, growing fast, and I sleep better at night. Building in public has connected me with incredible founders, investors, and customers I never would have met otherwise.
What's your biggest lesson from building something from scratch? The comments always teach me more than my post! 👇
The 3 critical mistakes that cost us 2 weeks + my new framework for rapid feature validation that we now use for every release.
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