July 2, 2025
In today’s fast-moving startup ecosystem, co-founders are more empowered than ever to turn ideas into viable products. Tools like ChatGPT, Bubble, FlutterFlow, and Zapier allow even non-technical entrepreneurs to build functioning MVPs with minimal engineering. Platforms like OpenAI and Claude help create powerful AI features without complex infrastructure. It’s never been easier to launch.
But as product-market fit approaches and monthly recurring revenue (MRR) grows, things get more complicated. Investors expect a roadmap. Customers expect performance. Suddenly, that quick-and-dirty MVP starts holding the company back, and building the team to go further becomes a whole new challenge. It’s a pivotal point, one where strategic decisions around scalability, talent, and emerging technologies, like those outlined in The Future Of AI: What Businesses Need To Prepare For, become essential.
This is where many co-founders hit a wall, and it’s exactly the stage Type B is built to support.
The rise of AI product development and low-code tools has led to an explosion in early-stage products. In 2023 alone, more than 34,000 new SaaS products were launched globally, many of them using AI or automation platforms for their first iteration (Product Hunt Trends, 2024).
These startups are often:
And for many of them, this approach works, until it doesn’t.
Once you’ve shipped version 0.1, validated early interest, and started seeing usage grow, your priorities shift:
This inflection point is both a sign of success and a risk.
According to BCG’s 2023 report on startup execution, only 25% of AI-powered MVPs make it to full-scale production. The reasons? Lack of technical leadership, poor scalability, and difficulty hiring qualified product teams.
This is where founders need to shift from scrappy building to strategic execution. And that’s where they often struggle.
Even for well-funded startups, hiring senior engineering and product talent is incredibly hard, especially when time is limited and technical expertise is thin at the leadership level.
Here are the most common roadblocks:
Most founders want to move fast. But structured hiring processes, especially for remote or hybrid tech roles, take time. It can take 8–12 weeks to close a senior backend engineer in competitive markets like the U.S., according to Hired’s 2024 State of Tech Hiring report.
Even as AI development accelerates, talent supply remains limited. A report from PwC found that 69% of technology companies globally are struggling to hire AI-literate engineering talent, leading to missed growth targets and product delays.
Founders don’t just need coders. They need builders, engineers, and PMs who can take a POC and translate it into a product roadmap that aligns with user feedback and investor expectations.
At Type B, we specialize in resource augmentation for high-potential startups that have outgrown their MVP but aren’t yet ready for a full-scale in-house product team.
We work with companies globally, from bootstrapped AI tools to pre-Series A SaaS platforms, helping them scale fast, reduce hiring complexity, and maintain momentum.
What Sets Us Apart
Unlike traditional software outsourcing companies, we embed deeply into your team and operate with full ownership of outcomes.
Whether it’s rewriting a brittle MVP backend or implementing new AI features for enterprise users, our team plugs into your goals and accelerates outcomes.
Here’s How We Help:
Case In Point: Mave’s AI Pivot From MVP To MRR
Mave, a conversational AI SaaS company, started with a GPT-based MVP that resonated with early adopters. Within 60 days, they had recurring revenue and a growing waitlist, but the backend couldn’t scale, and the founding team had no time to hire fast.
They brought in Type B to:
The result? A 40% reduction in platform downtime, 3x faster sprint velocity, and a successful fundraising round based on the new roadmap.
According to TechCrunch, startups that have a stable, scalable product at Series A raise 27% more capital than those that don’t. Founders who get this stage right reduce churn, accelerate user growth, and build real enterprise value.
But get it wrong, and the whole business stalls.
This is why founders need a partner who understands more than just code; they need a team that knows product, understands AI constraints, and can build with scale in mind.
Founders often forget that the most valuable thing they have post-MVP is momentum. The minute you stop shipping and fixing and growing, that momentum slows.
Hiring takes time. Building the wrong team is expensive. Losing users to bugs or bottlenecks is fatal.
That’s why Type B exists: to help founders protect their momentum by plugging in fast, bringing real product expertise, and scaling teams without bloated hiring cycles.
Whether you’re navigating your first POC refactor or launching your next AI-powered SaaS, we’re here to help you go from “it works” to “it scales.”
Let’s collaborate and build something extraordinary together.