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How to Find a CTO for Your Startup: The 2026 Founder’s Guide

When building a startup, you have many options for software development. Whether you leverage an LLM-backed code builder, hire a team of developers, outsource to an agency, or find a CTO. While all of these options are viable, if you find a CTO with the right tech expertise, you’ll have gained a key player to help you succeed. But remember, if you pick the wrong CTO you won’t survive long – you may not even make it to launch. I bet you keep hearing that “Finding your dream CTO is not easy”. It’s true; it takes a lot of time and commitment. That’s why many founders spend years looking for the perfect person for the job, myself included. When I first started founding startups, I experienced the hurdles of finding a CTO first-hand. Over the last 14 years, I have built many projects. It took me more than 30 months and more than 300 headaches before I found the right guy for the job. But when I found him, he nailed it. And he kept on nailing it. Usually, the conflict is: You want to start building your MVP as soon as possible, so you might feel tempted to commit to the first decent […]

Daniel de Castro Ruivo

Looking for Development

The Ultimate Startup Guide: From Ideation to MVP Launch & Beyond [2026]

What’s Different About Building a Startup in 2026 The fundamentals in this guide — founder-market fit, validation, MVP discipline, early users, capital strategy — are unchanged. The execution layer around them, however, looks meaningfully different in 2026 from when this guide was first written. Five shifts worth keeping in mind as you read on: Validation in days, not weeks. Tools like Lovable, v0, Bolt and Replit Agent let non-technical founders ship working prototypes from a prompt, compressing the time between idea and first user feedback dramatically. Expect to test more hypotheses cheaply, not bigger MVPs upfront. AI-augmented engineering is the default. Senior engineers using Cursor, Claude Code or GitHub Copilot Workspace routinely report 30–50% productivity gains on suitable tasks. Smaller teams can credibly take on what used to need 8–12 engineers in 2022. Frontier models are commoditised. GPT-5, Claude Sonnet 4 / Opus 4 and Gemini 2.5 are roughly interchangeable for most production tasks. “Which model” isn’t a moat — proprietary data, deep workflow integration, distribution and trust are. Agents are production-ready, narrowly. Scoped agentic workflows (research, support triage, internal automation) ship reliably with frameworks like LangGraph, CrewAI and n8n. End-to-end “autonomous” narratives are still over-promised — the Klarna agent […]

3 Steps to Build a Successful MVP (Minimum Viable Product)

Building a startup! You have an epiphany and say to yourself: This is a great idea! How didn’t anyone think of it before? I have to build it! Now! Fair enough but, as I’m sure you’ve heard, there are many hurdles that can lead to startup failure if you’re not careful — and you want to be among the founders that avoid them. Maybe you’ve already read The Lean Startup. You’re already considering building a Minimum Viable Product (MVP) and getting your idea tested ASAP. While testing as much as possible (and testing quickly) is vital, should you rush to build the first idea that pops into your mind? The answers you’re looking for are just a few scrolls away! In this article, we will cover everything you need to know from the definition of an MVP to the process of building one. Contents What is an MVP? Before we dive into the benefits of an MVP and how to build an MVP, I wanted to startup off with a quick definition of MVP. A Minimum Viable Product (MVP) is exactly what it says on the tin: the simplest version of your product with just enough features to validate your value proposition. No one has ever created “X”, I […]

Daniel de Castro Ruivo

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AI Building Blocks: The Ultimate 2026 Guide to Integrating AI into Your Business

For every startup founder out there, it’s becoming very clear: AI isn’t just a buzzword—it’s a pivotal force reshaping the tech landscape and business in general. From the products we use daily to the fundamental ways we interact with technology, AI is at the heart of a rapid transformation in the digitally interconnected world we live in. McKinsey illuminates this potential, estimating that generative AI (gen AI) will inject between $2.6 trillion and $4.4 trillion into the global economy each year. But what does this mean for the startup ecosystem? It signals a seismic shift in the innovation landscape, as highlighted by the National Bureau of Economic Research, AI is no longer just a tool for operational efficiency, it’s emerging as a generative force capable of crafting the future of invention itself. Although the path to AI integration is not without challenges — accuracy concerns, cybersecurity threats, and regulatory hurdles — for those prepared with a thoughtful approach, the rewards could be substantial. In 2024, over 40% of the startups selected by YCombinator, the world’s leading startup accelerator, are AI/ML startups. This indicates just how the world’s leading experts in innovation see large potential in AI to transform industries and […]

Has Generative AI Killed the Data Scientist? [2026 Verdict]

10 years ago, becoming a data scientist was considered the job of the century. With the consolidation of the Web-2 network, users were not only data consumers but data producers. The need to manage, process and interpret this new form of gold was paramount and as such, hiring Data Scientists became a high priority for any company that consumed large amounts of data. These large amounts of user behaviours, network structures, content, demographics, psychographics and much more allowed companies to understand and predict human behaviour at levels never seen before. Data Scientists were at the front of the data stream process that allowed us to bring “life” to data. By “life”, I am metaphorically referring to Generative AI, as the ultimate emulation of human behaviour that AI has achieved. However, curiously, as in Mary Shelley’s Frankenstein, the newly born creature, involuntary kills its creator. Between 2022 and 2023 over 500,000 layoffs occurred across all tech jobs globally, with over 30% of those layoffs affecting engineering and data science roles. This is not solely caused by high interest rates and their impact on the tech industry but also by the necessity for specialisation in this area, due to the rapid evolution […]

AI’s Unfulfilled Promise For Business Leaders [2026 Reality Check]

As companies navigate the digital transformation, the move towards Generative AI and AI enablement is becoming increasingly prominent. What began as grassroots adaptability has now escalated to a critical agenda item for top-level executives. It’s not just about pioneering startups harnessing this groundbreaking technology; well-established corporations are also exploring how to adopt it on a grander scale to drive business innovation and operational efficiency. According to PwC, 73% of US companies have integrated AI into some aspects of their operations, with generative AI (GenAI) being a key focus. However, the pressing question remains: Are they implementing it correctly? Developing an AI strategy for your company extends far beyond merely training employees to use tools like ChatGPT or creating a customer-facing chatbot. True AI enablement involves a deep understanding of AI capabilities and aligning them with specific business needs. It’s about adopting a holistic approach that marries a Product Mindset with an Operations Mindset, enabling businesses to transform inefficiencies and bottlenecks into streamlined, AI-driven processes. This comprehensive strategy paves the way for AI-driven innovation operational efficiency, setting the stage for a transformative impact across all facets of the company. skip render: ucaddon_blog_table_of_contents How Companies Are Currently Tackling AI Enablement Whilst companies […]

Looking for Development

How I Recovered from Losing My Startup’s Technical Co-Founder

Embarking on the journey of building a tech startup from the ground up presents a unique set of challenges, especially for non-technical founders. The pivotal question that looms is: how do you bring your product to life? Essentially, you’re faced with three paths: Partnering with a tech co-founder Hiring talent (be that senior or junior) Outsourcing to a software development agency. Drawing from my own ventures as the founder of a tech startup, a B2C eCommerce startup in the wine industry, I can share a thing or two about that process that can help you avoid a world of pain. The end goal of our startup was to help users understand and discover the right wine for their taste. The challenge was to connect a traditional and offline world like the wine industry with an advanced digital experience to not only purchase but learn more about wine. As you can imagine, my co-founders and I were mostly involved in the operational and marketing side of the business but we rapidly understood we needed to provide an outstanding digital experience to differentiate ourselves. When it came to finding the right tech stakeholder, my journey wasn’t just about making a choice; it […]

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8 Steps to Setup Your Startup MVP for Success [2026]

A while back, I read an article from Sifted that talked about LinkedIn posts as indicators of what the next big thing in tech is or where we are in the cycle. 2021, they said, was characterised by exuberant “rocket ship” and “fire” emoji posts heralding the rise of unicorns. In contrast, 2022 was defined by the sombre “crying CEO” meme, reflecting the downturn in the tech market. In 2023, LinkedIn has witnessed a shift in focus. With many founders and builders hunkering down to weather the storm, the platform has become a stage for AI influencers and founders showcasing their innovative ChatGPT applications. However, the mood has taken an even more sombre turn in recent weeks, with an increasing number of “RIP” posts announcing the closure of startups. The current landscape is unforgiving, particularly for early-stage ventures setting out to launch a startup MVP. So if you’re about to start something new and want to stand a chance in the current market conditions you better be sure you’re building the right product to test the market and prove your assumptions. Throughout my career as a Product Manager, I’ve seen amazing projects die because they failed to ask the right […]

Is Your Product Due a UX Audit? [Generative UX, 2026]

The evolution of the internet can be divided into consistent periods or generations that group a technological paradigm. We all have heard the terms Web1, Web2 and most recently Web3 when talking about the history of the Web (I’ll go into detail on all of them in just a bit). These terms represent a holistic vision of a certain relevant period (around a decade) and give an overview of the general case for the functioning of the products born during that time. Although technological development and user adoption are the key driving forces behind these paradigm shifts, the overall definition can be best noticed through an analysis of each period’s typical user experience (UX). Over the past one and a half years, the world has seen the emergence of Generative AI. Although this technology is not new, its massive adoption by the regular user was unseen until recently, with more than 30% of businesses in the US adopting AI in the workplace. Therefore, it’s time to reflect on the impact this will have on user behaviour and what experiences businesses will deliver to stay relevant in this new era to come. It’s still unclear but very likely that we are seeing the […]