⦿ INSIGHTS

Shape of the New Nordics 2022

What's moving in the New Nordic tech landscape?
Shape of the New Nordics 2022
WRITTEN BY
Martin Krag
Partner
Magnus Hambleton
Investor
WRITTEN BY

What's moving in the New Nordic tech landscape?

Throughout the year, we at byFounders keep track of the Pre-Seed to Series A rounds in the Nordics and Baltics - or the New Nordics as we call it. We compile a dataset primarily for our internal use. However, for 2022, we decided to share our insights more broadly.

Interested in knowing what countries lead the way and which one's punching above its weight? What verticals are most prevalent on the startup scene? How are diverse teams and impact startups faring in the new economic climate? How much capital was invested throughout the year, and were there any shifts in volume?

Dig in to learn more

Access the Shape of the New Nordics 2022
More about the author(s)
Martin Krag
Partner


Martin leads investments and works with portfolio companies in a board capacity.

Particularly, he's focussing on frontier tech such as AI, climate tech, bits-to-atoms as well as verticalized SaaS and fintech. He is a former entrepreneur, having founded and worked with several startups in Denmark, Seoul, and Beijing.

Prior to working in tech, he spent a number of years as a professional online poker player, honing a skill set in game theory, math, and psychology - traits he now applies to venture investing. Martin holds a Master's in Political Science from Aarhus University and International Relations from Sogang University, Seoul.

Outside of work, he spends his time mountain biking and cold water surfing, or playing with his son and daughter.

Magnus Hambleton
Investor

Magnus is a former operator who loves ambitious startups that think big, want to scale fast and have an eye for making great products. He is particularly interested in HealthTech, AI/ML and Data.

Prior to byFounders, Magnus led the data team and a product team at Natural Cycles, a FemTech company making a birth control app. In his 20% time, he built deep learning models to predict fertility based on time series data.

He also has a few years of experience with the Boston Consulting Group in Australia and Switzerland, and during University he founded and ran a startup accelerator and co-working space.

Besides speaking with inspiring founders, he also enjoys hiking in the mountains, kitesurfing, and playing the Irish Bouzouki.

More about the author(s)
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