Two paths to an AI startup
Today, I spoke with a founder who’s at a crossroads.
He wants to build an AI-enabled software business but has two very different options for getting started.
Option 1: Bootstrap by starting a consulting business that develops custom AI tools for clients. This would generate immediate revenue and could help him discover a scalable product idea for the broader market.
Option 2: Pursue VC funding, which would give him capital to scale quickly but cap his salary at $150K for the foreseeable future.
He leaned toward bootstrapping and wanted help understanding the economics of this path.
We reviewed his financial model together:
He’s at $4K/month in MRR with one client.
His goal is $500k in profit within a year.
He’s offering several tiers of custom AI software, with estimated 50% margins.
To assess whether this is realistic, we broke it down:
Unit economics: Are his pricing and margin assumptions achievable?
Scalability: How many clients can he realistically take on with his current resources?
Time to profitability: Is $1M in revenue within 12 months attainable—or a stretch goal?
This type of analysis is the cornerstone of decision-making for founders.
It’s not just about what sounds good but about mapping the numbers to the vision.
So, what would you do in his shoes?
Go revenue-first and bootstrap—or chase the big future payday with VC funding?
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