Feb 15, 2024 · 1h 7m · capital-allocators

Magnus Grimeland – Day Zero Investing at Antler (EP.369)

Magnus Grimeland · 55m spoken Ted Seides · 7m spoken
0:00 / 0:00

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In this episode of Capital Allocators, Antler Capital founder and CEO Magnus Grimeland shares his journey from naval special forces to founding Zalora and details Antler's global 'Day Zero' model for systematically identifying, forming, and backing high-impact tech startups at inception.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Ted holds 11.9% of the talking time here. How this is scored →

Ted as informed peer 4.7 Guest teaching 4.1 Guest disagreement 0.3 Ted pushing back 1.1
05100:0015:0030:0045:001:00:003:10–7:24 · Ted as informed peer 3/10 Magnus Grimeland's Rural Upbringing and Military Selection Ted guides the biographical inquiry into Magnus's youth and military service with open, constructive questions. Magnus recounts his upbringing and the selection process for Norwegian Special Forces without tension.7:24–10:45 · Ted as informed peer 4/10 Harvard Education, Early Startups, and McKinsey Career Ted tracks Magnus's transition to Harvard and McKinsey, probing how early startup endeavors informed his career. Magnus provides straightforward reflections on the 2003 tech wave and his consulting tenure.10:46–14:10 · Ted as informed peer 5/10 Founding Zalora and Scaling Southeast Asian E-Commerce Ted asks a pointed question about starting a fashion e-commerce firm without background in the space. Magnus clarifies that e-commerce is primarily an operational and logistics machine rather than a product passion play.14:10–20:28 · Ted as informed peer 4/10 The Antler Model and Global Day Zero Strategy Ted explores the origin and scale of Antler's Day Zero strategy. Magnus outlines the concept of tracking tech mafias across global hubs to build early stage institutional access.20:29–26:53 · Ted as informed peer 5/10 Candidate Sourcing, Screening Pipeline, and Founder Spikes Ted asks how small local teams can manage over 130,000 applicants and asks Magnus to define founder 'spikes'. Magnus explains the algorithmic screening funnel and the evaluation of spike characteristics.26:54–33:41 · Ted as informed peer 5/10 Residency Cohort Dynamics, Investment Terms, and Platform Leverage Ted asks how Antler manages post-investment support and coordinates follow-on funding across 27 regions. Magnus details the Antifusion platform, standardized equity terms, and global VC co-investor networks.33:42–42:08 · Ted as informed peer 6/10 Operational Learnings, Cohort Experiments, and Leading Indicators Ted presses on how Antler measures outcome success on short time horizons given the multi-year lag of venture capital returns. Magnus details their failure with rolling cohorts and breaks down 10 leading and operational indicators.42:08–46:28 · Ted as informed peer 5/10 Partnership Structure, Global Support Functions, and Multi-Stage Funds Ted asks about organizational scaling and the distribution between local autonomy and centralized services. Magnus breaks down the 75/25 carry incentive model and centralized technology leverage.46:29–54:22 · Ted as informed peer 5/10 Entrepreneurial Hustle, Grit, and Global Innovation Dynamics Ted asks about entrepreneurial success determinants and non-hub innovation dynamics. Magnus dispels myths about founding with friends, highlights the need to overcome cultural modesty ('Janteloven'), and reviews market-specific infrastructure such as India's digital payment stack.3:10–7:24 · Guest teaching 3/10 Magnus Grimeland's Rural Upbringing and Military Selection Ted guides the biographical inquiry into Magnus's youth and military service with open, constructive questions. Magnus recounts his upbringing and the selection process for Norwegian Special Forces without tension.7:24–10:45 · Guest teaching 3/10 Harvard Education, Early Startups, and McKinsey Career Ted tracks Magnus's transition to Harvard and McKinsey, probing how early startup endeavors informed his career. Magnus provides straightforward reflections on the 2003 tech wave and his consulting tenure.10:46–14:10 · Guest teaching 4/10 Founding Zalora and Scaling Southeast Asian E-Commerce Ted asks a pointed question about starting a fashion e-commerce firm without background in the space. Magnus clarifies that e-commerce is primarily an operational and logistics machine rather than a product passion play.14:10–20:28 · Guest teaching 5/10 The Antler Model and Global Day Zero Strategy Ted explores the origin and scale of Antler's Day Zero strategy. Magnus outlines the concept of tracking tech mafias across global hubs to build early stage institutional access.20:29–26:53 · Guest teaching 4/10 Candidate Sourcing, Screening Pipeline, and Founder Spikes Ted asks how small local teams can manage over 130,000 applicants and asks Magnus to define founder 'spikes'. Magnus explains the algorithmic screening funnel and the evaluation of spike characteristics.26:54–33:41 · Guest teaching 4/10 Residency Cohort Dynamics, Investment Terms, and Platform Leverage Ted asks how Antler manages post-investment support and coordinates follow-on funding across 27 regions. Magnus details the Antifusion platform, standardized equity terms, and global VC co-investor networks.33:42–42:08 · Guest teaching 5/10 Operational Learnings, Cohort Experiments, and Leading Indicators Ted presses on how Antler measures outcome success on short time horizons given the multi-year lag of venture capital returns. Magnus details their failure with rolling cohorts and breaks down 10 leading and operational indicators.42:08–46:28 · Guest teaching 4/10 Partnership Structure, Global Support Functions, and Multi-Stage Funds Ted asks about organizational scaling and the distribution between local autonomy and centralized services. Magnus breaks down the 75/25 carry incentive model and centralized technology leverage.46:29–54:22 · Guest teaching 5/10 Entrepreneurial Hustle, Grit, and Global Innovation Dynamics Ted asks about entrepreneurial success determinants and non-hub innovation dynamics. Magnus dispels myths about founding with friends, highlights the need to overcome cultural modesty ('Janteloven'), and reviews market-specific infrastructure such as India's digital payment stack.3:10–7:24 · Guest disagreement 0/10 Magnus Grimeland's Rural Upbringing and Military Selection Ted guides the biographical inquiry into Magnus's youth and military service with open, constructive questions. Magnus recounts his upbringing and the selection process for Norwegian Special Forces without tension.7:24–10:45 · Guest disagreement 0/10 Harvard Education, Early Startups, and McKinsey Career Ted tracks Magnus's transition to Harvard and McKinsey, probing how early startup endeavors informed his career. Magnus provides straightforward reflections on the 2003 tech wave and his consulting tenure.10:46–14:10 · Guest disagreement 1/10 Founding Zalora and Scaling Southeast Asian E-Commerce Ted asks a pointed question about starting a fashion e-commerce firm without background in the space. Magnus clarifies that e-commerce is primarily an operational and logistics machine rather than a product passion play.14:10–20:28 · Guest disagreement 0/10 The Antler Model and Global Day Zero Strategy Ted explores the origin and scale of Antler's Day Zero strategy. Magnus outlines the concept of tracking tech mafias across global hubs to build early stage institutional access.20:29–26:53 · Guest disagreement 0/10 Candidate Sourcing, Screening Pipeline, and Founder Spikes Ted asks how small local teams can manage over 130,000 applicants and asks Magnus to define founder 'spikes'. Magnus explains the algorithmic screening funnel and the evaluation of spike characteristics.26:54–33:41 · Guest disagreement 0/10 Residency Cohort Dynamics, Investment Terms, and Platform Leverage Ted asks how Antler manages post-investment support and coordinates follow-on funding across 27 regions. Magnus details the Antifusion platform, standardized equity terms, and global VC co-investor networks.33:42–42:08 · Guest disagreement 1/10 Operational Learnings, Cohort Experiments, and Leading Indicators Ted presses on how Antler measures outcome success on short time horizons given the multi-year lag of venture capital returns. Magnus details their failure with rolling cohorts and breaks down 10 leading and operational indicators.42:08–46:28 · Guest disagreement 0/10 Partnership Structure, Global Support Functions, and Multi-Stage Funds Ted asks about organizational scaling and the distribution between local autonomy and centralized services. Magnus breaks down the 75/25 carry incentive model and centralized technology leverage.46:29–54:22 · Guest disagreement 1/10 Entrepreneurial Hustle, Grit, and Global Innovation Dynamics Ted asks about entrepreneurial success determinants and non-hub innovation dynamics. Magnus dispels myths about founding with friends, highlights the need to overcome cultural modesty ('Janteloven'), and reviews market-specific infrastructure such as India's digital payment stack.3:10–7:24 · Ted pushing back 0/10 Magnus Grimeland's Rural Upbringing and Military Selection Ted guides the biographical inquiry into Magnus's youth and military service with open, constructive questions. Magnus recounts his upbringing and the selection process for Norwegian Special Forces without tension.7:24–10:45 · Ted pushing back 0/10 Harvard Education, Early Startups, and McKinsey Career Ted tracks Magnus's transition to Harvard and McKinsey, probing how early startup endeavors informed his career. Magnus provides straightforward reflections on the 2003 tech wave and his consulting tenure.10:46–14:10 · Ted pushing back 2/10 Founding Zalora and Scaling Southeast Asian E-Commerce Ted asks a pointed question about starting a fashion e-commerce firm without background in the space. Magnus clarifies that e-commerce is primarily an operational and logistics machine rather than a product passion play.14:10–20:28 · Ted pushing back 1/10 The Antler Model and Global Day Zero Strategy Ted explores the origin and scale of Antler's Day Zero strategy. Magnus outlines the concept of tracking tech mafias across global hubs to build early stage institutional access.20:29–26:53 · Ted pushing back 1/10 Candidate Sourcing, Screening Pipeline, and Founder Spikes Ted asks how small local teams can manage over 130,000 applicants and asks Magnus to define founder 'spikes'. Magnus explains the algorithmic screening funnel and the evaluation of spike characteristics.26:54–33:41 · Ted pushing back 1/10 Residency Cohort Dynamics, Investment Terms, and Platform Leverage Ted asks how Antler manages post-investment support and coordinates follow-on funding across 27 regions. Magnus details the Antifusion platform, standardized equity terms, and global VC co-investor networks.33:42–42:08 · Ted pushing back 3/10 Operational Learnings, Cohort Experiments, and Leading Indicators Ted presses on how Antler measures outcome success on short time horizons given the multi-year lag of venture capital returns. Magnus details their failure with rolling cohorts and breaks down 10 leading and operational indicators.42:08–46:28 · Ted pushing back 1/10 Partnership Structure, Global Support Functions, and Multi-Stage Funds Ted asks about organizational scaling and the distribution between local autonomy and centralized services. Magnus breaks down the 75/25 carry incentive model and centralized technology leverage.46:29–54:22 · Ted pushing back 1/10 Entrepreneurial Hustle, Grit, and Global Innovation Dynamics Ted asks about entrepreneurial success determinants and non-hub innovation dynamics. Magnus dispels myths about founding with friends, highlights the need to overcome cultural modesty ('Janteloven'), and reviews market-specific infrastructure such as India's digital payment stack.

speaking balance: gold is Ted, purple is the guest (3 minute bins)

0:00 · Ted 89.5% · guest 10.5%0:00 · Ted 89.5% · guest 10.5%3:00 · Ted 17.5% · guest 82.5%3:00 · Ted 17.5% · guest 82.5%6:00 · Ted 2.5% · guest 97.5%6:00 · Ted 2.5% · guest 97.5%9:00 · Ted 5.2% · guest 94.8%9:00 · Ted 5.2% · guest 94.8%12:00 · Ted 10.5% · guest 89.5%12:00 · Ted 10.5% · guest 89.5%15:00 · Ted 5.4% · guest 94.6%15:00 · Ted 5.4% · guest 94.6%18:00 · Ted 8% · guest 92%18:00 · Ted 8% · guest 92%21:00 · Ted 10.4% · guest 89.6%21:00 · Ted 10.4% · guest 89.6%24:00 · Ted 9.6% · guest 90.4%24:00 · Ted 9.6% · guest 90.4%27:00 · Ted 7% · guest 93%27:00 · Ted 7% · guest 93%30:00 · Ted 9.2% · guest 90.8%30:00 · Ted 9.2% · guest 90.8%33:00 · Ted 11.3% · guest 88.7%33:00 · Ted 11.3% · guest 88.7%36:00 · Ted 13.1% · guest 86.9%36:00 · Ted 13.1% · guest 86.9%39:00 · Ted 0% · guest 100%39:00 · Ted 0% · guest 100%42:00 · Ted 12.5% · guest 87.5%42:00 · Ted 12.5% · guest 87.5%45:00 · Ted 7.7% · guest 92.3%45:00 · Ted 7.7% · guest 92.3%48:00 · Ted 0% · guest 100%48:00 · Ted 0% · guest 100%51:00 · Ted 6.6% · guest 93.4%51:00 · Ted 6.6% · guest 93.4%54:00 · Ted 6.3% · guest 93.7%54:00 · Ted 6.3% · guest 93.7%57:00 · Ted 13.5% · guest 86.5%57:00 · Ted 13.5% · guest 86.5%1:00:00 · Ted 8.3% · guest 91.7%1:00:00 · Ted 8.3% · guest 91.7%1:03:00 · Ted 1.1% · guest 98.9%1:03:00 · Ted 1.1% · guest 98.9%1:06:00 · Ted 30.1% · guest 69.9%1:06:00 · Ted 30.1% · guest 69.9%
Sharpest disagreement ▶ 46:43 Magnus challenges the conventional co-founder myth

Magnus directly rejects the popular premise that founders should start companies with existing friends or family, arguing that intentional professional vetting produces superior outcomes.

Hardest push from Ted ▶ 38:11 Ted questions measuring venture outcomes on short-term data

Ted challenges Magnus on how Antler can reliably claim better or worse outcomes from operational experiments when early stage venture returns take years to materialize.

Biggest teaching moment ▶ 33:55 Magnus explains why rolling cohort models fail

Magnus educates Ted on the behavioral psychology of cohort dynamics, showing why an apparently logical rolling-intake model degraded founder urgency and performance in real trials.

Ted holds their own ▶ 12:08 Ted challenges fashion domain expertise as a startup driver

Ted sharply points out that Magnus had zero background or obvious passion for fashion when founding Zalora, forcing Magnus to articulate the operational essence of e-commerce platforms.

the scores for every segment, with the reasoning behind each
ChapterTopicTed as informed peerGuest teachingGuest disagreementTed pushing backWhy
Magnus Grimeland's Rural Upbringing and Military Selection 3300 Ted guides the biographical inquiry into Magnus's youth and military service with open, constructive questions. Magnus recounts his upbringing and the selection process for Norwegian Special Forces without tension.
Harvard Education, Early Startups, and McKinsey Career 4300 Ted tracks Magnus's transition to Harvard and McKinsey, probing how early startup endeavors informed his career. Magnus provides straightforward reflections on the 2003 tech wave and his consulting tenure.
Founding Zalora and Scaling Southeast Asian E-Commerce 5412 Ted asks a pointed question about starting a fashion e-commerce firm without background in the space. Magnus clarifies that e-commerce is primarily an operational and logistics machine rather than a product passion play.
The Antler Model and Global Day Zero Strategy 4501 Ted explores the origin and scale of Antler's Day Zero strategy. Magnus outlines the concept of tracking tech mafias across global hubs to build early stage institutional access.
Candidate Sourcing, Screening Pipeline, and Founder Spikes 5401 Ted asks how small local teams can manage over 130,000 applicants and asks Magnus to define founder 'spikes'. Magnus explains the algorithmic screening funnel and the evaluation of spike characteristics.
Residency Cohort Dynamics, Investment Terms, and Platform Leverage 5401 Ted asks how Antler manages post-investment support and coordinates follow-on funding across 27 regions. Magnus details the Antifusion platform, standardized equity terms, and global VC co-investor networks.
Operational Learnings, Cohort Experiments, and Leading Indicators 6513 Ted presses on how Antler measures outcome success on short time horizons given the multi-year lag of venture capital returns. Magnus details their failure with rolling cohorts and breaks down 10 leading and operational indicators.
Partnership Structure, Global Support Functions, and Multi-Stage Funds 5401 Ted asks about organizational scaling and the distribution between local autonomy and centralized services. Magnus breaks down the 75/25 carry incentive model and centralized technology leverage.
Entrepreneurial Hustle, Grit, and Global Innovation Dynamics 5511 Ted asks about entrepreneurial success determinants and non-hub innovation dynamics. Magnus dispels myths about founding with friends, highlights the need to overcome cultural modesty ('Janteloven'), and reviews market-specific infrastructure such as India's digital payment stack.

Statements from this episode (21)

Assertion Not checkable as stated
Grimeland survived selection rate of 1% for Norwegian Special Forces
“So I think we were about a thousand people who tried out for the Special Forces when I was there. After about half a year of selection, we were 10 people left.”
Magnus Grimeland Feb 15, 2024 ▶ 5:20
Insight
Mental resilience beats athletic pedigree in military selection
“There were people there who were Norwegian champion in this, world champion in that, incredibly athletic individuals who lasted much shorter than people who were just determined to succeed. And the ones who really made it all the way to the end were people wit…”
Magnus Grimeland Feb 15, 2024 ▶ 5:28
Assertion Supported
Southeast Asia had only $200M in annual VC when Zalora launched
“So, in a year, when I decided to leave McKinsey, two hundred million dollars a year was put into venture in Southeast Asia, which is a population of six hundred million, very fast growing.”
Magnus Grimeland Feb 15, 2024 ▶ 11:26
Insight
E-commerce value proposition relies on execution, not the core product
“If you think about building an e-commerce company, whether it's fashion or any other thing that you're selling, the core product that you're selling is a very small part of the value proposition. What you're ultimately building is an executional machine. You'r…”
Magnus Grimeland Feb 15, 2024 ▶ 12:47
Assertion Contradicted
Five or six Stockholm unicorns were founded by Spotify alumni
“You go to Stockholm today, and there's five or six unicorns that came out of Spotify.”
Magnus Grimeland Feb 15, 2024 ▶ 15:00
Insight
Early-stage VC returns depend entirely on top founder access
“If you want to deliver tremendous returns in early stage venture capital, number one thing you need is access to the best people. It doesn't matter if you're an amazing decision maker if you don't have access.”
Magnus Grimeland Feb 15, 2024 ▶ 16:42
Disclosure
Antler selected roughly 2,000 founders from 131,000 applicants in 2023
“We look for amazing founders, and last year we got a 131,000 applicants from founders who want to work with us, who applied to come into one of our programs across 27 operating locations across the globe, plus three other offices where we have support networks…”
Magnus Grimeland Feb 15, 2024 ▶ 18:16
Disclosure
Antler makes around 400 pre-seed investments per year
“We make about 400 investments per year. We lead pre-seed rounds, and then we have follow on capital to pack the very best founders in their subsequent rounds to concentrate capital in the winners.”
Magnus Grimeland Feb 15, 2024 ▶ 18:50
Assertion Partly supported
Seventy percent of US unicorns have an immigrant co-founder
“So for example, in the US, I think 70% of unicorns have A first or second generation immigrant co-founder.”
Magnus Grimeland Feb 15, 2024 ▶ 20:02
Assertion Not checkable as stated
Antler receives more applicants than Harvard, Stanford, and MIT combined
“We get more applicants now in a year than Harvard, Stanford, and MIT combined.”
Magnus Grimeland Feb 15, 2024 ▶ 22:51
Insight
Teams built around spiky founders outperform teams of generalists
“Most founders tend to be really great at one or two things, and they leverage that strength, and they know that strength, and they build a team of people around them who have different strengths. That ultimately creates a much higher performing team, that a te…”
Magnus Grimeland Feb 15, 2024 ▶ 26:00
Insight
Exceptional teams trump great ideas in early-stage venture capital
“If you have an exceptional team where the ID still needs work and the product still needs work, you can still back them. If you have an exceptional ID, but we figure out the team is not AAA, top notch, you tend not to back them because so early on, IDs still r…”
Magnus Grimeland Feb 15, 2024 ▶ 28:00
Disclosure
Antler invests $250k upfront for roughly 9% equity in the US
“So for example, in the US, we invest then In cash for about nine percent equity. And then we put in another 250 K commitment for their follow on round in total of 500 K commitment, but 250 K coming in up front. And it's only us doing that round.”
Magnus Grimeland Feb 15, 2024 ▶ 28:49
Assertion Supported
a16z's first Norway and YC's first Vietnam deals were Antler startups
“So I think for example, Andreas and Horowitz first investments in Norway was an antler company. White Combinator's first investment in Vietnam was an antler company.”
Magnus Grimeland Feb 15, 2024 ▶ 33:03
Insight
Fixed cohorts outperform rolling admissions due to peer pressure dynamics
“So there's all this human psychology into how a cohort works, which you can't replicate through a rolling program. So even if it logically makes sense, the outcomes ended up being worse. We tried it, I think, six times in total. So that's equivalent to three y…”
Magnus Grimeland Feb 15, 2024 ▶ 35:06
Assertion Not checkable as stated
Antler's portfolio achieves a 5.3x MOIC after four years
“And we see quite interesting linear trajectory on MIC growth in our portfolio. After four years, about 5.3 X, and it's increasing quite linear towards that.”
Magnus Grimeland Feb 15, 2024 ▶ 40:43
Disclosure
Antler allocates 75% of carry locally and 25% globally
“If you run, for example, India, or if you run the Nordics, if you run the US now, 75% of the carry goes to the partners who run it. And then we put 25% of the carry into global pool, which is shared with everyone.”
Magnus Grimeland Feb 15, 2024 ▶ 43:11
Disclosure
Antler raises 40% of its capital centrally and 60% locally
“About 40% of the capital raised globally. It's raised through a global capital team, and the rest we raised locally.”
Magnus Grimeland Feb 15, 2024 ▶ 45:45
Insight
The geographic time lag for startup model replication has collapsed
“There used to be a time where you'd see something happening in China, let's say, and then a few years later, you'd see it in Southeast Asia, or you'd see something happen in the US, and then a couple of years later, you see it in Europe. The cadence behind tha…”
Magnus Grimeland Feb 15, 2024 ▶ 51:24
Insight
Early-stage VC requires local presence, while late-stage does not
“Unless you're there on the ground and you have teams on the ground, you won't be able to capture. And the earlier you go, the more important that is. Later stage, you actually can make investments from other locations because you're much more looking at the bu…”
Magnus Grimeland Feb 15, 2024 ▶ 54:05
Disclosure
Antler refuses to lead follow-on rounds in its own portfolio
“When you look at us doing a series A deal into our own portfolio, we decided to put a few principles in place to avoid any conflict of interest. So first of all, we don't lead rounds into our own portfolio. So there are many multi-stage funds that could lead a…”
Magnus Grimeland Feb 15, 2024 ▶ 55:55
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