How to Web 2026: founders can build anything, so why are they stuck?
How to Web 2026: founders can build anything, so why are they stuck?
We attended How to Web 2026 in Bucharest, Eastern Europe’s leading startup and tech conference. Three days of talks, side events and a lot of honest conversations with people building products that aim to change the world. A great event.
This year’s theme was: What will you build when you can build anything? It’s a great question, but the founders we talked to told a more honest story. They all agreed that building software has never been easier. And yet, building serious software is still hard. Not because of the code, but because of everything around it.
A prototype is not a product
It starts with the tools. Many founders we met build with Lovable, Bolt or Replit. For many, this is their first time doing hands-on work (often in many years), so they pick tools they understand, with visual guidance that shows them what’s happening.
These tools are great for getting a first version on screen in an afternoon. But the hard part kicks in soon after. A real product needs complex orchestration of security tests, deployment strategy, analysis of feedback from real users, and framework for deciding what gets built. Creating new features is only one piece of it, and it’s the piece AI made easy. The rest still lands on the founder. So most teams get stuck in the gap between a demo that looks finished and a product people can rely on.
Asking AI for every answer
The tools are only half of the story. Most of these founders have never done product development before either. So they ask AI a lot: What to build, how to price it, how to get it to market. The question we heard again and again was: “Can you tell me more about how to get the product to market?”
AI gives an answer. They tweak it, ask again, change direction, tweak some more. After enough rounds, the plan, the product and the code no longer fit together, and the result is something nobody can actually use.
The problem is that there’s no stable context behind the AI’s answers: no record of what was decided, why something is worth building, or what’s already been built. So founders end up overbuilding some features and underbuilding others. Worse, they’re left to hold it all together alone.
Small teams never get to GTM
This is hardest for founders building alone or with one or two cofounders. They know they need a go-to-market strategy. They want it. But they never get there, because the building never stops. Every hour spent fighting building is an hour not spent with customers and GTM. And it shows. Majority founders are building feature after feature instead of selling or positioning their product on market to build unfair advantage.
Many also believe the right product will win on its own. From our experience at Continuum Tracker, it won’t. The company usually generates revenues with the right product and the right go-to-market together.
So what will you build?
Back to the theme. When you can build anything, the real question is what to build, and whether it’s worth building at all. Our advice is simple: give AI the right context what to build, let it give you the features and spend your time on go-to-market strategy and sales.
As a founder, you just record your conversations when you present your solution to customers, investors or any audience. Continuum Tracker handles the rest: it turns what people said into clear pain points, tells you which feature to build next, and once you decide, hands the full customer problem straight to Claude Code so your coding agent builds the right thing. Every decision stays on record, so nothing starts from scratch.
With product building on autopilot, you finally have time for what was always left for later: go-to-market, sales, and making your product secure.
