Three years ago, we built a service provider booking app (plumbers, carpenters, electricians) fro...Three years ago, we built a service provider booking app (plumbers, carpenters, electricians) fro...
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Three years ago, we built a service provider booking app (plumbers, carpenters, electricians) from scratch, fully custom code. Took close to 4 months to get live.
Today, with AI tools like Claude and ChatGPT in the workflow, I think a comparable MVP could realistically ship in 4-6 weeks. The boilerplate and repetitive work compress fast, matching logic and payment edge cases still need real engineering judgment.
If you had to rebuild something similar today, what timeline would you expect?
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Sahil 's avatar
If anyone's exploring a similar service booking platform, happy to share more on how we'd approach it, feel free to reach out.
Saad's avatar
AI collapses the part that was never the bottleneck. The 4 months on a booking app is payments, provider onboarding, dispute flows, notifications that actually fire, and store review, none of which get shorter because the CRUD screens wrote themselves. The scaffold is a week...
Sahil 's avatar
Fair point, and that matches what we've seen too. The scaffold is genuinely fast now, but dispute flows and provider onboarding still need real design decisions, not just code. Where AI actually helps there is speeding up the iteration on those flows once you know what you're building, not skipping the thinking itself.
Saad's avatar
Agreed. The other thing AI does not shorten is the feedback loop with real providers and payment processors, onboarding a live Stripe Connect account, waiting on payout tests, chasing a plumber to finish a test booking. That calendar time is fixed no matter how fast the code ships.
Sahil 's avatar
Here's a reply:

Completely agree, that's actually the bigger bottleneck in my experience. Code moves at whatever pace you push it, but Stripe Connect verification, payout test cycles, and getting a real provider to actually complete a test booking all run on someone else's...
Dusko's avatar
Four to six weeks feels realistic for a focused MVP now. The acceleration is real, but matching rules and payment edge cases are still where the product needs careful engineering.
Sahil 's avatar
Agreed, that split holds up well. The generic screens are basically free time now, but matching logic and payment edge cases are still where a product actually earns or loses trust, so that's exactly where the careful engineering has to go.
Saad's avatar
The other one that doesn't compress: app store review and processor KYC. Both run on someone else's clock and can each cost a week, regardless of how fast the build finishes.
Sahil 's avatar
Definitely, and those two combined can quietly double a launch timeline. App review can bounce for something as minor as a metadata mismatch, and KYC delays are basically out of anyone's hands once submitted. Best you can do is start both in parallel with the build instead of...
Sahil's avatar
This matches what we're seeing across most of our client projects too, AI speeds up the build, but the real engineering time goes into edge cases and integrations.
Sahil 's avatar
You are right!! AI has a great impact in coding...
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