MVP development as a service
Hi IndieHackers!
I have been here for more than 2 years. In this period, I was able to learn a lot about building products that solve real world problems.
In these past two years, I have built, scaled and sold 2 AI SaaS companies. And now I am building my third product - Tutore AI.
Along the way, I have realised that I can help my fellow non-technical founders to bring their ideas to reality. So, today I am starting Query Labs - A MVP development as a service.
I would love to hear your ideas and collaborate to bring them to life!
Fell free to email me at - gautamahuja1909@gmail.com
OR
Book a Free consultation call - https://calendly.com/querylabs/free-consultation
Here are the links to my SAAS products for reference :
- Tutore AI
- AI Excel Bot - Acquired
- AI Query - Acquired
MVP Development as a Service is an interesting model because it helps founders access product, design, and development expertise without building a full in-house team from day one. For many startups, the biggest advantage is being able to validate ideas quickly while keeping costs and complexity under control.
This is highly relevant to Foundersbar because many early-stage founders need more than just development. They need help defining the right MVP, prioritizing features, validating assumptions, and learning from users. The faster a startup can test and refine its idea, the better its chances of finding product-market fit
This makes a lot of sense honestly.
A lot of non-technical founders underestimate how hard it is to go from “idea” to a usable MVP without getting stuck in endless dev cycles or burning money on the wrong features.
The biggest difference I’ve noticed with successful launches is that founders spend time getting clarity before development starts. Product flow, architecture decisions, roadmap planning, and defining what actually belongs in V1 can save months of rework later.
That’s actually something we focus on a lot at Founderbar as well through startup product blueprints for solo founders and early-stage startups. Most expensive startup mistakes happen before the first line of code is even written.
Curious to see how you position Query Labs differently from traditional dev agencies because most agencies still optimize for delivery, not startup outcomes.