NITM showed up to AcceleratorCon 2025 as a proud sponsor and speaker, sharing insight into building MVP products, using AI effectively, and navigating the early...


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In the weeks leading up to the conference, NITM worked closely with the AcceleratorCon team to solve several operational and technical challenges that impacted marketing, e-commerce, and attendee experience. These are the same issues we see every day across early-stage teams: fragmented systems, unclear data flows, and tools that don’t quite match the pace of an MVP.
I joined Oji Udezue (Product Mind), Christopher Yang (Shopline), and Crystelle Desnoyer (Adobe) to discuss how founders can test and validate MVPs, use AI-powered tools, and build effectively at the early stage without sinking months into engineering.
It’s humbling to sit beside leaders who have solved real problems at scale. Their work is a reminder that while technology gets complex quickly, founders benefit most when they focus on clear problems/value, rapid validation, and meaningful user feedback.
What mattered most from our discussion was this: building MVPs enabled by AI tools and features is no longer impossible or optional. It’s the starting point for efficiency, alignment, and speed.
Here’s a quick way to assess whether you’re building your MVP effectively:
Quick checklist (yes/no)
If you answered no to more than one, you’re likely overbuilding or under-validating.
Because we specialize in MVP and pre-Series A development, efficiency is built into how we operate. We are AI-native and use AI as the final step in almost every process:
AI doesn’t replace human interaction. It accelerates it. And teams that embrace this early shorten their runway to product-market fit.
We worked with Blackfullness to launch Blackfullness 2.0 with a refined product strategy, improved technical architecture, and an AI-informed development workflow. The rebuild reflects the same principles we preach: start sharp, test fast, and blend AI with thoughtful human design.
Testing with AI saves founders time, reduces cost, and cuts guesswork. Most importantly, AI lets you validate the experience before investing in the infrastructure. The winners in 2025 won’t be the teams with the biggest builds. They’ll be the ones with the smartest prototypes.
We’re already preparing for AcceleratorCon 2026 and look forward to returning with our clients, showcasing the companies we’ve helped launch and scale. Until then, we’ll continue sharing practical tools and insights to help founders build smarter, faster, and more sustainably.
We look forward to seeing you at AcceleratorCon 2026. If you need help refining your MVP, integrating AI, or validating your next product idea, reach out anytime.

AI lets you code at lightspeed, but to ship anything meaningful, you now have to play roles that used to be handled by an entire team , from QA to research to product strategy.



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