The Investor Who Bets on Childhoods: What Michael Moritz Looks For, and Why It Starts in Middle School

Michael Moritz spent nearly four decades at Sequoia Capital and wrote early cheques into Google, Yahoo, PayPal and Stripe. What he says he is actually evaluating, when a founder sits down across from him, is not the market-size slide.

Moritz’s argument, in short: the first 15, 17 years of life that anybody experiences shape the individual in profound and deep fashions, and whatever happens to them afterwards echoes through their life.¹

That window — everything up to the day a kid leaves home. If the claim is even partly right, it changes what a parent should be optimising for across the whole of middle and high school. Here is the argument in five figures — then what we actually do with it.

1. The crucible of character

A twenty-one-year-old sits down with a prototype: no revenue, no customers, no management history. Every number in the model is invented. Nobody has managed them, so there is no reference call to make.

What is left is where they came from — what they were allowed to fail at, whether anyone ever let them own something difficult. For a first-time founder that is not a consolation prize when the hard data runs out. It is the only data.

The only dataset that exists

By the time anyone can evaluate a founder, the formative years are already spent

Michael Moritz — the Sequoia partner who wrote the first cheques into Google, PayPal, Yahoo and Stripe — argues that a person’s earliest years shape them in ways that echo through everything that follows. The whole of that window — the first 15 to 17 years — is spent before there is anything else to evaluate.

Ages 0–17

Everything a résumé, a pitch deck, or a spreadsheet can show you

Birth Age 17 Age 30 Age 45

0–17

the formative years — everything up to the day they leave home

≈ 38%

of a 45-year-old founder’s life — and all of it before the work starts

1

chance a parent gets to be in the room while it happens

Uncomfortable for a parent, because the environment you are building on ordinary weeknights is the thing being read. Empowering, because the window is open now, not senior year.

2. “Understanding where they came from”

Case study

Patrick and John Collison: the interesting part happened before anyone was watching

Stripe is the headline. But the traits Moritz says he underwrites — obsession, self-direction, intellectual impatience — were on the record a decade earlier, in a village in rural Ireland.

1. Age ~10 late 1990s

   Teaches himself to program

   Patrick starts writing code as a child in Dromineer, a village of a few hundred people in County Tipperary, Ireland.

2. Age 16 2005

   Wins the BT Young Scientist of the Year

   His project — CROMA, a new dialect of the LISP programming language — beats nearly 500 entries from more than 1,000 students. Not a school assignment. A language.

3. Age 17–19 2007–08

   Builds and sells a first company

   Auctomatic, software for eBay sellers, founded with his brother John and sold for about $5 million.

4. Age 21 & 19 2010

   Starts Stripe

   The brothers prototype an internet payments API with no background in merchant gateways. Sequoia, Elon Musk and Peter Thiel back it.

Nothing here required Palo Alto, a lab, or a brand-name school. It required a kid with a hard problem he chose himself, and enough runway to keep going at it.

Patrick Collison grew up in Dromineer, a village in County Tipperary.² At sixteen he won Ireland’s BT Young Scientist of the Year with CROMA: a new dialect of LISP — beating almost 500 projects from more than 1,000 students.³

Read that again. Not a science-fair volcano. A programming language, because he had decided the existing ones made web applications slower to write than they needed to be. Nobody assigned it; there was no rubric for it. That is the tell — not the trophy, the choice of problem.

3. Resilience and grit

Moritz’s other well-known book is Leading, co-written with Sir Alex Ferguson.⁴ Its recurring theme: the leaders who last have a need to succeed that runs deep, usually rooted in something long before the success. The VC version is blunt — founders who have absorbed real difficulty hold up better when the company nearly dies, which it usually does.

Hardship is not a curriculum. Nobody should engineer suffering for a child in the hope of manufacturing a founder.

Angela Duckworth’s research points somewhere more useful: grit — perseverance and passion for long-term goals — predicted outcomes from West Point retention to National Spelling Bee ranking, over and above talent. And she is explicit that the passion half matters as much as the perseverance half.⁵

So the thing that builds steel is not suffering. It is voluntary difficulty, sustained for years, at something the kid actually cares about — and failing at it in front of people, then continuing.

4. The genesis of obsession

What obsession looks like

The gaping hole in Bill Gates’s dashboard

Moritz tells the story of being driven to the airport by Gates in the early 1980s, when Microsoft was still small and private, and noticing the radio was missing.

7:32

minutes, home to office

“If I’ve got the radio, I’m afraid that I’ll switch it on and I won’t be thinking about Microsoft.”

He had timed the commute to the second, and decided that seven and a half minutes of thinking was worth tearing the radio out of the dash. Moritz’s one-word verdict: “That’s obsession.”

Gates separately described giving up television and music for roughly five years in his twenties, going as far as pulling the tuner out of a TV he had bought for educational tapes.⁶⁷

You cannot install this in a child. What you can do is make sure that when a real obsession shows up, they have the tools, the ceiling, and the adult support to chase it down. Most childhood obsessions die not from lost interest but from a wall the kid can’t get past alone — the library book stops at chapter four, the kit doesn’t have the part, and no adult in the room knows the next step.

5. Beyond the spreadsheet

Every projection in a seed deck is fiction with a decimal point. Character is what is left when the model turns out to be wrong, and the model is always wrong. Which brings the necessary corrective:

The honest timeline

The average breakout founder is in their forties — which is exactly why age 12 matters

Census-linked data on every US startup over a decade found that the founders of the fastest-growing companies are middle-aged, and that deep prior experience in the domain is what predicts success.

45.0

Mean founder age of the fastest-growing 1-in-1,000 US startups

43.7

Mean age for founders of the top 1% of new ventures by growth

42.1

Mean age for the top 5% — and similar inside high-tech sectors

Read this the right way. It is not an argument that your 13-year-old should incorporate a company. It is the opposite: the breakout founders in this dataset had decades of accumulated craft behind them. The question for a middle schooler isn’t when do I start a company — it’s when do I start accumulating.

The founders of the fastest-growing 0.1% of US companies averaged forty-five years old, and deep prior experience in the industry was among the strongest predictors of success.⁸ The teenage-founder mythology is mostly survivorship bias with good PR.

The goal is not that your eighth grader founds a company. It is that by twenty-five they have already spent a decade doing hard technical work they chose. That is the accumulation. Everything else is timing.

Our Robotics & AI Mentoring program

We built it around this premise rather than around a competition calendar.

Grades 4–12, in Sunnyvale and Cupertino or online. Two sessions weekly, year-round: one hands-on robotics, AI and hardware/software session, one online session for AP Computer Science prep, USACO, ACSL and competitive programming. Mentors are practicing Silicon Valley engineers. Cohorts are capped at eight — the moment a group is big enough for a student to hide in, the outcomes stop being individual.

There is no fixed parts list and no seasonal game manual, so the ceiling on what a student can build is their own skill, not a kit specification.

From signal to Tuesday afternoon

The four things Moritz reads for — and what actually builds them in a 12-year-old

You can’t coach obsession into a child. You can put them in an environment where the thing they’re obsessed with is buildable, and where failing at it in public is normal.

• Obsession

  What the investor sees

  Can’t stop thinking about the problem — the radio comes out of the dashboard.

  What builds it at Aasquare

  The student picks the project. Nobody assigns an object-detection rover; a kid who wants one badly enough debugs it at 11pm because it’s theirs.

• Resilience

  What the investor sees

  Has been knocked down before and has evidence they get back up.

  What builds it at Aasquare

  Real hardware fails in front of people. A model misclassifies on demo day. Students ship anyway, then fix it in the next cycle — repeatedly, for years.

• Agency

  What the investor sees

  Chose the scope. Wasn’t handed a rulebook and a parts list.

  What builds it at Aasquare

  No fixed kit and no seasonal game manual. The constraint is the student’s own skill ceiling, so raising it is the only way forward.

• Intellectual impatience

  What the investor sees

  Outgrows the curriculum and goes looking for the next thing unprompted.

  What builds it at Aasquare

  Mentors are practicing engineers, so the ceiling keeps moving: computer vision, embedded systems, networking, cybersecurity, cloud, ML.

The mechanism

One loop, run continuously from grade 4 to grade 12

Every trait in the section above is a by-product of this cycle. Nothing here can be lectured into a child — it has to be run.

1. 1
   Choose builds Agency

   The student picks the project. No rulebook, no assigned game.

2. 2
   Build builds Craft

   Real hardware and real code — sensors, circuits, models they wrote.

3. 3
   Break builds Resilience

   It fails. Usually in front of someone. A mentor sits with them in it.

4. 4
   Ship builds Obsession

   They fix it because they want the thing to exist, not because it is graded.

5. 5
   Defend builds Fluency

   They demo it live to judges and answer hard questions unscripted.

↻ Then back to step one, with a harder problem the student chose themselves.

A twelve-year-old in our program built an object-detection robot car — onboard camera, computer vision model, real-time driving decisions. The car isn’t the achievement. The achievement is that they wanted it, hit four walls, and got past all four.

What one student actually touches

Six engineering disciplines, not one hobby

A competition kit teaches mechanical design inside a fixed parts list. This is the surface area a single Aasquare student crosses, continuously, from grade 4 to grade 12.

• Mechanical

  Chassis and mechanisms, torque and gear ratios, 3D-printed custom parts

• Electrical

  Circuits, resistors and transistors, Arduino microcontrollers

• Computer

  Architecture, OS, networks, embedded Linux, data structures, cybersecurity

• Software

  Python and JavaScript, databases, APIs, full-stack and IoT applications

• Robotics

  Sensors and actuators, ROS, control code, pathfinding

• AI

  Computer vision, machine-learning models, generative AI and agents

Students train for MIT Zero Robotics, ACSL, USACO Bronze/Silver and the NASA Space Apps Challenge — and every student demos their own project to judges, unscripted. No prior experience required; we admit for motivation and work ethic, not résumé.

The arc

Continuous reps, one stage at a time

Year-round, without a season that ends — what a founder-shaped adolescence looks like when it’s deliberate rather than accidental.

1. 1 Grades 4–6

   Make something move

   First real build. The goal is the moment a kid realises the thing on the table does what they told it to — the origin of technical self-belief.

2. 2 Grades 7–8

   Own the whole problem

   Student-chosen projects with a mentor, not a manual: sensors, computer vision, code they wrote and can explain. Failure becomes routine instead of frightening.

3. 3 Grades 9–10

   Go deep in a real stack

   The Tech Hero track — networking, cybersecurity, embedded systems, cloud, AI/ML — plus USACO, ACSL, MIT Zero Robotics and NASA Space Apps.

4. 4 Grades 11–12

   Defend it unscripted

   Present live work to judges and answer hard questions cold. This is the rep that turns a project into a story an admissions reader — or a first investor — believes.

See the program in full, the High School Tech Hero track for older students, or what our students have built and defended. We’ve also written honestly about where VEX and LEGO leagues help and where they cap out.

Apply for admission →

Aasquare Academy — Robotics, AI & Computer Science Mentorship. Grades 4–12. Sunnyvale & Cupertino, CA.

Footnotes

1. Michael Moritz, interviewed on Conversations with Tyler, Ep. 288 — “Michael Moritz on Origin Stories, Exile, and Obsessive Curiosity.” ↩

2. “Patrick and John Collison: Stripe’s 30-something billionaires,” The Irish Times, 2021. ↩

3. “Limerick pupil’s web language wins science competition,” The Irish Times, 2005; and “Limerick student wins young scientist award,” Irish Examiner, 2005. ↩

4. Alex Ferguson with Michael Moritz, Leading: Learning from Life and My Years at Manchester United (Hachette, 2015). ↩

5. Duckworth, A. L., Peterson, C., Matthews, M. D., & Kelly, D. R., “Grit: Perseverance and passion for long-term goals,” Journal of Personality and Social Psychology, 92(6), 2007. ↩

6. Michael Moritz, Stanford Graduate School of Business interview, February 2019 — recounted here. ↩

7. Reporting on Gates’s self-imposed “blackout period” in his twenties, including removing the tuner from his television — Benzinga, 2025. ↩

8. Azoulay, P., Jones, B. F., Kim, J. D., & Miranda, J., “Age and High-Growth Entrepreneurship,” NBER Working Paper 24489, 2018; published in American Economic Review: Insights, 2020. ↩