Claude startup credits felt free until we compared them to a part-time engineer in India
Had a client come to me last week with a problem I’m seeing more often in 2026.
His team built their company website almost entirely inside Claude they were on a startup programme with free credits for 6 months. Sounded perfect: no agency, no contract, just prompt until it’s done.
By the time he actually counted usage, they’d burned through roughly $200,000 worth of Claude credits on website work alone. And they still weren’t properly live domain/DNS messy, analytics not wired, SEO meta half-done, forms flaky on mobile
When the free programme window started ending, he ran the numbers against hiring a part-time developer (he’s in India). The crossover was brutal: continuing to buy credits for ongoing site changes would cost more than paying an engineer who could edit real code once and handle integrations without re-explaining the whole project every session.
That’s the trap free credits create they don’t just subsidise building. They train prompt dependency. Website maintenance is endless small edits. If every edit routes through inference-priced credits, you’re paying Silicon Valley meter rates for work that doesn’t need regeneration.
Especially in markets like India where contract dev rates are very competitive, this math flips fast. Same story from US founders at higher API tiers different currency, same shape.
What I think works better:
- Use Claude inside an engineer’s workflow (draft markup, explore options)
- Don’t make credits the only way to change your homepage
- Someone owns deployable code + hosting + a backlog that isn’t “open chat and pray”
He said he wishes day one had been: design + copy → one production build → keep AI for ad-hoc help, not as the operating system for the whole site.
Question for the room: Anyone else hit the point where AI credits for web work cost more than just hiring? Curious how you’re structuring it so the team doesn’t get stuck on the meter.