Why small teams outperform

Why small teams outperform

In 2014, WhatsApp was acquired for $19B with a team of 32 engineers out of 55 employees.

In 2012, Instagram was acquired for $1B with 13 employees, a core part of whom were engineers.

Elon Musk made a firm statement by reducing 90% of Twitter's headcount to under 1,000 employees in 2022. The company stayed afloat and delivered a remarkable amount of innovation since.

These companies serve as inspiring case studies that show that it doesn’t take a village to build a tech company. In this document, I will lay the foundation for understanding how the success of Instagram and WhatsApp can be achieved from an engineering perspective - how to build a billion-dollar company with just 10 engineers.

One Engineer Can Build Everything

Many people believe that software engineering is hard and that building products is difficult.

This is a limiting belief, and it’s not true. The world is full of people who can build products end to end entirely by themselves. Mark Zuckerberg created Facebook in his dorm room. Marcus Persson single-handedly created the initial version of Minecraft. Tobias Lütke built the early version of Shopify to launch his snowboarding business. Patrick Collison created the early version of Stripe with his brother John as one of his side projects - an end-to-end working prototype processing payments.

Many stories of successful founders are about young people coding away in a garage, trying to create something beautiful. Only 1% of them became commercial successes. Others don’t fail because they couldn’t build a good product.

They fail because the idea they had didn’t work out. For every founder, successful or not, there are dozens of engineers who can build anything and have no ambition of starting a company.

Why Small Teams Outperform

The first principle of why small terms outperform comes from the graph theory. Imagine your team as a network of people. A 3-person team only has 3 connections between them (a triangle). In a team of three, any decision can be made via a 3-way phone call. Conflicts are minimal, alignment is quick, and shared context is a given.

Adding one person to the mix increases complexity. A four-person team has 6 connections between them. The headcount increased by 1.3X while the communication complexity increased by 2X. Nonetheless, the four-person team is still efficient, and decisions are made quickly.

Doubling the team size to 9 people results in 36 connections between team members. While the team size increased by 2X, the complexity of communication grew by 6X. This increased complexity makes decision-making difficult. With 9 people, there is a greater need for process, decision-making guidelines, management, and alignment. It is unlikely that the team will reach a unanimous position on important topics. Not everyone will have the same knowledge and shared context. At least half of the time that a 4-person team used to spend coding will now be spent in alignment meetings.

It gets worse with increasing headcount beyond 10. Notice the near-exponential growth of complexity with the linear growth of headcount.

By the time an organization gets to 100 people, there are 4,950 connections between its members. Managing a 100-person organization requires managers to manage individual contributors. It also requires management to manage managers. Alignment at this scale becomes difficult. There are established conflicting positions and politics inside the company. Things can rarely be done by the end of the day because even the most simple decisions have dependencies on external teams. Making a change requires alignment meetings, context sharing, and relationship management. While many companies found their way to make it work, the question remains: Is this truly what’s necessary to build and grow the business?

Many founders confuse growth with headcount. Headcount doesn’t equal growth. Quality ideas and top-tier execution equals growth. The most efficient execution comes from doing it with the least feasible amount of people possible.

Growth ≠ Headcount.

Team Composition

Making a small team work comes down to a simple principle. Your success is proportional to the quality of the people you hire. In other words, hire the absolute best people you can find and do whatever it takes to keep them committed to your cause. No mid-level talent, no interns, no B-players. Your people are the top 1% of talent - senior engineers with a builder mindset—those who are capable of building anything by themselves without the ambition to become a founder yet.

At Stan, we’ve built a $10M ARR business with 4 Full Stack engineers in 2.5 years. Serving 25,000 customers who sell $50M a year on the platform, a team of 4 best-in-class builders was more than enough. When we needed to grow, we focused our time and energy on building, not hiring. Our focus paid off.

While the exact composition of a 10-person engineering team would change based on your line of business and circumstances, these are the general guidelines that would work for most businesses:

  • Hire software generalists, not specialists. Hire technology agnostic Full Stack Engineers.
  • Hire the top 1%. Pay what it takes. Success in startups is the game of talent.
  • Build a culture of ownership and autonomy. A-players don’t need to be managed.

In Summary

It doesn’t take a village to build a tech company. Many founders confuse growth with headcount, and this is a mistake. Bringing more people increases communication complexity, which reduces development speed. Instead, focus on hiring a few best-in-class people. Remove the red tape and let them do their job.

One engineer can build everything. That’s the kind of people you want on your team. You need about 10 of them to reach your maximum velocity.

Jonathan Ayre, MBA

I make business processes seamless

11 个月

These companies are a testament to the power of focused expertise, clear vision, and getting stuff done!

回复
Ole Breulmann

CPTO / Founder of Xaver.com | Entrepreneur, Product & Technology Enthusiast, AI & Data Science Geek, Design Thinker

11 个月

This. Build an “a-team”. ??

Evgeny Astapov

CTO @ superconnectors.io ?? · Co-founder @ interfas.ai ?? & 10kreader (exit) ?? · Helping startups with introductions of a lifetime ??

11 个月

I love this write-up. Hits it home with graph theory - it's always such a good example to explain how decision-making becomes more complex; but also to show that as a team grows, relying more and more on those few edges that are strong (in the core team, founders, etc.) for communicating might eventually end up with parts of that graph being hardly connected, and everything falling down. Thanks for sharing ??

Chong Wei Kee

?? Use Telebort.IO to build community and drive sustainability.

11 个月

That's true especially for tech companies. Thanks for sharing! Jackie Wong , Norshahirah Nasharudin , Eve C.

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