Why small teams beat big teams (with receipts)
The systems thinking approach that let us ship 2 full flows per week with minimal resources.

I've led teams of 3 and worked in organizations of 3,000. The small teams shipped more. Here's why, and how to make it work.
The Myth of More Resources
More people = more output, right? Wrong.
In my experience:
- 2 engineers built Quicktools to 10M users
- 3 PMs at Whisbi shipped more than teams of 10 elsewhere
- 1 person (me) automated SEO for 50,000 pages
The secret isn't working harder. It's working with fewer dependencies.
Why Small Teams Win
1. Communication Overhead Scales Exponentially
With 2 people, you have 1 communication line. With 5 people, you have 10 lines. With 10 people, you have 45 lines.
Every line is a potential point of delay, misunderstanding, or conflict.
2. Ownership Creates Speed
When you're responsible for everything, you make decisions fast. No waiting for approval. No passing the buck. No "that's not my job."
3. Constraints Force Creativity
Limited resources mean you can't brute-force problems. You have to think. The best solutions I've shipped came from constraints, not abundance.
The Systems That Make It Work
Small doesn't mean chaotic. You need better systems, not more people.
Standardization Over Customization
At Quicktools, every tool followed the same architecture:
- Same component library
- Same data flow
- Same deployment process
This meant any engineer could work on any tool without ramp-up time.
Automation Over Manual Work
If you do something more than twice, automate it:
- Deployment pipelines
- Testing suites
- Monitoring and alerting
- Reporting
Documentation Over Meetings
Write things down. Async communication scales; meetings don't.
We maintained:
- Decision logs
- Technical specs
- Process documentation
New team members could onboard from docs, not endless meetings.
When to Scale
Small teams aren't always the answer. Scale when:
- You've validated the approach. Don't scale experiments.
- Systems are in place. New people need structure to be productive.
- The work is parallelizable. Some work has sequential dependencies.
The Hard Part
Small teams require:
- High-trust hiring: Every person matters more
- Comfort with ambiguity: Less process means more judgment calls
- Ego management: No room for territorial behavior
Not everyone thrives in this environment. That's okay.
Results You Can Steal
From my experience, here's what works:
| Team Size | Best For |
|---|---|
| 1-2 | Exploration, MVPs, automation |
| 3-5 | Scaling proven approaches |
| 6-10 | Multiple product lines |
| 10+ | Only when absolutely necessary |
Building with a small team? I'd love to hear your experience. Connect with me on LinkedIn.