AI coding tools are changing how startups build products. What used to require a full development team can now be prototyped by a founder with the right tools and a clear product vision. But there’s also a growing misconception in the startup ecosystem: building faster does not automatically mean validating better. Many founders are launching AI-generated MVPs in days, only to realize later that they solved the wrong problem, built unnecessary features, or skipped the validat

Most teams aren’t running out of ideas. They have too many. New features. New markets. New integrations. Ideas coming from customers, investors, trends, or internal conversations. The problem starts when everything feels important. When everything is a priority, there’s no direction A lot of products slow down because focus disappears. It usually looks like this: nobody wants to say no every suggestion finds its way into the roadmap decisions get postponed for “later” the pro

Most teams measure progress by what they add. New features, more screens, more complexity. That creates an illusion of progress. Building doesn’t always move you closer to the goal. Many times it does the opposite. Deciding what not to build is one of the strongest levers in product. It cuts noise, speeds up learning, and avoids investing in things that won’t create impact. Ideas that sound good but aren’t There are patterns that show up again and again. Ideas that sound grea

Most ideas don’t fail because they’re bad. They fail because no one actually validated them. Or worse: because someone thought building an MVP was validation. It’s not. Building is not validating. It’s committing. What it really means to validate a business idea When people search “how to validate a business idea”, they expect steps. But steps without judgment are dangerous. Validation isn’t about following a checklist. It’s about answering a harder question: Does this deserv

The tech sector does not have a talent problem. It has a connection problem. There are trained, motivated digital profiles who cannot find a direct path to real opportunities . And there are companies that do not know where to find them. Gogotechy , one of our current projects, was built to solve exactly that gap: a single platform where training , practice , and access to the digital job market coexist. Under the leadership of CEO Pilar Alfonso Rico , the product is advanci

Some markets have been waiting years to be digitized. Diving is one of them. Millions of divers around the world manage their certifications on paper, book activities over the phone or by email, and have no digital space to log their dives or connect with others. Javier Prats knew this. He came to Nomu Labs with a clear idea: change that. The result is DiveLife, a platform that just launched on the App Store and Google Play, and that already reached over 2,000 registered user

For years, the conversation around development tools was centered on technical productivity. Which tool writes code faster. Which IDE improves developer output.Which AI assistant generates more lines per hour. That is no longer the right conversation. In 2026, the real question is different: which tool helps your team ship product faster and learn sooner . That shift changes everything. The comparison between Claude Code and GitHub Copilot is not just a technical benchmark. I

For years, ceramic work has lived in fragmentation. Notebooks full of glaze formulas, photos scattered across phones, tests without context, loose PDFs, Instagram acting as a makeshift portfolio. A lot of knowledge, very little structure. That disorder has consequences. It slows down learning, makes it harder to repeat results, and limits how far a ceramist can evolve. It also affects something critical: turning the craft into a sustainable practice. That’s where TROQ comes i

For years, the playbook was clear. If you wanted to build something scalable, you avoided agencies. Low margins, growth tied to hiring, heavy dependence on people. It didn’t fit the venture model. In the Spring 2026 Request for Startups, Y Combinator introduces a shift worth paying attention to. Among AI, fintech, and industrial ideas, one category stands out: agencies . Not in their traditional form. What YC is actually asking for YC is pointing to AI-native agencies . Teams

Building software has never been easier. New artificial intelligence tools allow founders to generate entire applications from a simple prompt. Platforms such as Lovable , Replit and Cursor are driving a new development approach often referred to as vibe coding. At Nomu we are seeing this shift firsthand. Through hackathons and events we host with Lovable, such as BETA DASH , teams are able to build functional prototypes in just a few hours. This dramatically lowers the techn

Last Tuesday, Beta Dash landed in Brussels . What started as a builder-focused format in Madrid arrived at WAT.BXL with more than 50 participants building real prototypes in just a few hours. At Nomu Labs we have already hosted several Beta Dash editions in Madrid. Seeing the format grow and expand beyond the city is something special. When the right people gather around building, ideas move to product much faster. During the session, teams worked directly on functional prot

Many products start in the same place. A clear intuition about a problem worth solving and a common question: how do you actually build this if you are not technical? That question was the starting point of the conversation between Javier Mateache Calderón, CEO of Nomu Labs, and Fernando López García on the program Éxito sin Edad on Déjate de Historias TV. The interview focuses on a challenge that appears again and again in early-stage projects: founders with a strong idea bu

In 2016, Jordi Romero, Bernat Farrero and Pau Ramon founded Factorial in Barcelona. Their initial goal was straightforward: help SMEs digitize holiday management, payroll and administrative processes that were still handled in spreadsheets. Clear problem Clear customer Clear product Less than ten years later, the company has surpassed $100M in annual recurring revenue and strengthened its position with a €110M capital extension to accelerate international expansion. But grow

This Wednesday we hosted another Beta Dash . In a few weeks, we’re running the next one in Brussels. What interests us isn’t the event itself. It’s what happens when you compress decision-making into four hours. That’s enough time to see how a team really operates. Who actually leads when time runs out In a hackathon for startups, there’s no room for endless debate. The clock forces clarity. Within the first 20 minutes, patterns emerge: Does someone define the problem clearly

Artificial intelligence is reshaping how digital products are built. Tools like Claude, ChatGPT, and other generative AI models are accelerating workflows, reducing development time, and expanding technical capabilities. But there is a recurring mistake many companies make: adopting a technology before validating the problem it is supposed to solve. The consequence is not technical. It is strategic. Tools evolve fast.Real problems evolve slowly. When that order is reversed, p

Claude is an AI model developed by Anthropic. It competes with tools like ChatGPT, but over the past months it has gained attention for a specific reason: its ability to handle long context and stay coherent across complex tasks. This is not just about generating text. Claude performs particularly well when work is ambiguous, evolving, and structurally interconnected. That is why many founders, operators, and technical teams are starting to treat it as more than a chatbot.

Many startups don’t fail because of a lack of ideas or poor execution. They fail because they build things that should not exist. Endless backlogs. Features added because someone mentioned them in a call. Roadmaps that change every two weeks. Teams moving fast without knowing exactly where they are going. This is not a technical problem. It’s a product decision problem. At Nomu Labs , we see the same pattern again and again. Strong teams start building before answering thre

Today we introduce Neety , a B2B sales platform built to help revenue teams identify real buying intent and act at the right moment. In many B2B teams, traffic and engagement already exist. The real challenge is understanding which companies are actually interested and when it makes sense to reach out. Neety focuses exactly on that gap between signals and action. What Neety is used for Neety is a B2B prospecting and inbound sales platform that helps teams detect high-inten

In a world that shifts daily, designing with the illusion of permanence is wishful thinking. At Nomu Labs , we don’t believe in finished solutions. We believe in systems. And good systems are alive. A brand can’t rely on a single visual piece. A logo can’t carry the weight of an identity. A brand manual shouldn’t freeze a brand in time. To design for longevity isn’t to lock something in place — it’s to build with openness: frameworks that hold, yet allow room to grow, iterate

January has been an intense month at Nomu Labs . A lot of work, many digital product decisions , and a clear idea in mind: starting 2026 with focus, judgment, and real validation. This recap brings together the most relevant highlights of the month around entrepreneurship , startups , MVPs , idea validation , and technology applied to business . Nomu at universities: when entrepreneurship stops being theoretical Over the past few weeks, we’ve been present in key spaces withi