Interview with David Finnegan

Inside Sweden’s Startup DNA: Building MVPs with David Finnegan

by Jane Doe | September, 2025
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Inside Sweden’s Startup DNA: Building MVPs with David Finnegan
Key facts
  • Experience

    Founder — Jumble (Product collaboration & workshops studio)
    Product & Growth Strategist
    Startup & Scale-up Advisor
    Workshop Facilitator & Trainer

  • Industries

    Startups & Scale-ups
    SaaS & Digital Products
    AI & Tech Products
    MedTech / HealthTech

  • Notable Achievements

    10+ years helping teams scale products and businesses

  • Education

    Northumbria University

Website
Meet David Finnegan

David Finnegan is a product strategist and collaboration specialist whose work sits at the intersection of technology, business, and human dynamics. Over the last decade, he has helped startups and product teams scale not just their products, but the way they think, decide, and work together.
As the founder of Jumble, David focuses on unlocking what he calls a team’s “collaborative superpower” — building environments where trust, structure, and shared ownership lead to faster innovation and better decisions. His belief is simple: the best products aren’t built by individuals, but by well-aligned teams.
With more than 15 years of experience across SaaS, AI, fintech, climate tech, and digital products, David has guided founders and subject-matter experts from early ideas to market-ready solutions. From shaping value propositions and unit economics to facilitating high-impact workshops and go-to-market strategy, he helps teams turn complexity into clarity and momentum.
Known for his calm, pragmatic approach and sharp commercial thinking, David blends product discovery, strategy, and coaching to ensure that great ideas don’t just ship — they survive, scale, and make sense as businesses.

part one

The Swedish startup ecosystem: beyond Spotify and Klarna

David Finnegan
“A few years ago teams argued because everyone was certain. Now they’re quiet — because no one really knows what the future looks like.”
— David Finnegan

JD: Sweden is often called one of the strongest startup ecosystems in Europe. What does it actually look like today?

DF: Right now it’s much broader than people think. It’s not just digital apps or SaaS anymore.

Green and climate tech are huge here — batteries, recycling, carbon accounting, sustainable construction. There’s a real push toward physical-world innovation, not just software. Northvolt created a lot of that momentum, even though things have slowed a bit recently.

FinTech is still strong too. Klarna obviously set the tone, but we’re also seeing steady B2B scale-ups coming through. And now AI is picking up fast across almost every vertical.

What’s interesting is that Sweden mixes deep tech with very practical business models. It’s not hype-first — it’s “does this actually work?”

JD: Are climate and energy startups already using AI heavily?

DF: Honestly — less than people think.

When you work with energy grids or infrastructure, security requirements are intense. You can’t just plug in a generic model and hope for the best.

So while everyone says “AI-powered,” the reality is that true generative AI usage in climate tech is still thin.

Healthcare and med tech might actually see impact sooner. Even very simple AI — counting cells, pattern detection — can create massive outcomes. It doesn’t always need to be magical. Sometimes basic automation already changes everything.

“A product is easy to ship. A startup is hard to sustain. Technology is only 10% — the rest is economics”

JD: So where is AI actually gaining traction?

DF: Mostly in B2B tools.
Recruitment, operations, SaaS workflows — areas that were already recommendation-based or data-heavy.Sweden has some standout examples too. Lovable is probably the most talked-about one right now — insanely fast growth.But overall, we’re still very early. It reminds me of Web 1.0: everyone sees potential, but the business models aren’t clear yet.

part two

The uncomfortable truth about AI startups

David Finnegan
“My job is simple: help teams figure out what actually matters — and ignore the rest.”
— David Finnegan

JD: A lot of AI startups look exciting but die quickly. Why?

DF: Because AI is expensive. People underestimate this massively.Every API call costs money. Every heavy user costs you more. And suddenly your “successful” growth actually burns cash faster.You can literally kill your company by getting too many users. So founders focus on features, but forget unit economics.

If:

  • your customer pays $20

  • but costs you $25 to serve

you’re not scaling — you’re just lighting money on fire.

JD: What should founders absolutely calculate before launching?

DF: Unit economics. Obsessively. You need to know:

  • cost per user

  • daily usage behavior

  • power user costs

  • lifetime value

  • customer acquisition cost

And with AI it’s even harder than SaaS because usage is unpredictable.

The trap is: your entire margin goes to OpenAI or Anthropic. So you’re basically building a business that enriches someone else. Investors see this immediately. And they walk away.


“Investors don’t want unicorn stories anymore — they want workhorses that generate revenue”

JD: So is AI overhyped right now?

DF: Short term? Yes. Long term? No.

I think the short-term impact is exaggerated to attract investment.But long term — it’s obviously transformative. The problem is timing. We’re early. Very early. AI today feels like the web before Web 2.0.
Useful, promising — but the money model isn’t figured out yet. Until that happens, a lot of startups won’t survive.

part three

Funding reality & how to actually build something that lasts

David Finnegan
“Teams used to argue because they were certain. Now they’re lost because no one knows what’s next.”
— David Finegan

JD: Has AI changed how startups are built compared to five years ago?

DF: AI didn’t change the fundamentals. It just made building products faster. You can ship something in weeks now. That’s amazing. But here’s the thing people forget: A product isn’t a startup. A startup is:

  • a product

  • a team

  • a business model

  • customers

  • and money that makes sense

AI removed tech friction. But it didn’t remove business reality. If anything, it made the market noisier and harder.


 

“Great work comes from trust and genuine relationships — understanding our clients deeply is what makes creativity meaningful.”

JD: What actually changed in the ecosystem then?

DF: Interest rates. Before 2022, money was cheap. Investors could borrow cheaply and pour money into risky startups. Now capital is expensive. Investors are cautious. Before: “grow users, figure out revenue later.”
Now: “show me profit or don’t call me.” They don’t want unicorns anymore. They want workhorses.

JD: How do you personally help founders today?

DF: At Product Space we work with early-stage teams and subject-matter experts. We help with:

  • product strategy

  • value proposition

  • unit economics

  • go-to-market

  • and building the first technical foundation

A lot of founders either:

  • have great tech but no commercial clarity, or

  • have domain expertise but weak tech partners

We bridge that gap. My focus is mostly on strategy and growth — figuring out what actually creates value, not just what looks cool.

 

“We approach every brand like a startup: with curiosity, testing, and iteration, always putting the audience at the center of the experience.”