AI Is the Best Co-Founder - Tim Leland Skip to content ☀

Blogging<br>Side Project<br>AI is the best co-founder I have ever had.

That sounds like clickbait, but I mean it.

For years, the standard startup advice was to find a co-founder. If you were technical, find somebody who could sell. If you were good at marketing, find somebody who could code. Building a company was hard, and one person could not cover every job.

That advice made sense. It still does for some companies.

But the default has changed.

If I can test an idea by myself, I would rather start alone, use AI to fill the gaps, and keep going until I hit a problem that actually requires another person. Not a problem I might have one day. A real bottleneck in a real business.

This is not an argument against people. It is an argument against adding a permanent business partner before the product has earned one.

A co-founder is not just another set of hands

A co-founder can make a startup much easier. The right person brings energy, judgment, skills you do not have, and somebody to share the ugly days with.

The wrong person can end the company.

Even Y Combinator’s advice on finding a co-founder says you do not need one just because it feels like the proper startup thing to do. Their point is blunt: a great co-founder helps, but a bad one can kill the company.

People sometimes talk about finding a co-founder like they are filling an open role. It is much bigger than that. You are giving somebody a meaningful part of the company and a vote on what it becomes.

Now every large decision has another layer:

What should we build?

How quickly should we move?

How much money should we spend?

Should we raise funding?

When should we hire?

What happens if one person wants out?

YC has a separate list of 10 questions to discuss with a potential co-founder, including how you will handle disagreements and what happens if you no longer want to work together. Those are smart questions. They also show how serious the relationship is.

Sometimes all of that is worth it. It should not be a box you check because a startup playbook told you that teams look better on a pitch deck.

AI changed what one person can do

The original case for a co-founder was partly about coverage. There was too much work and too many different skills for one person.

AI does not solve all of that, but it covers much more than people want to admit.

I can use AI to:

Research a market and compare competitors.

Turn a rough idea into a working prototype.

Read an existing codebase and make a focused change.

Write tests and chase down bugs.

Draft a landing page, support reply, or launch email.

Review analytics and look for patterns.

Create images and App Store assets.

Push back on an idea before I spend a week building it.

That is not one job. It is pieces of product, engineering, design, support, marketing, and operations.

It also does not need equity, a calendar invite, or a vote. It does not care if I throw away the first draft and change direction. That is a ridiculous advantage while a product is still messy.

An OpenAI analysis of U.S. usage found that at least four million people used ChatGPT in March 2026 to help plan, start, run, or grow a business. Most were not chasing a billion-dollar startup. They were using AI as a flexible first hire because small business owners already do several jobs at once.

That is how I think about it too. AI is not just a coding tool. It is the first place I go when I need to move into a part of the business where I am slower or less experienced.

One person can cover a lot more ground before adding a team.

I have always built this way

I have spent more than a decade building side projects and products. A lot of them failed. A few turned into real businesses.

Weather Extension started with a simple need for an easy forecast in the browser. The Link Shortener Extension started as a small tool and gave me the distribution to build T.LY behind it. Link Shield came from the abuse problems I had to solve while running a URL shortener.

More recently, Golf Swing Camera came from the annoying process of recording golf swings with the normal Camera app. PxlShot came from wanting a useful Mac screenshot workflow without another subscription or cloud account.

The common thread is not a big founding team. It is noticing a problem, building something useful, putting it in front of people, and learning what happens next.

I wrote about the long list of things that did and did not work in Embracing Failure: The Journey of a Builder and Maker. AI would not have made every one of those ideas successful. Most products fail because people do not need them, do not find them, or do not care enough to pay.

AI does make each attempt cheaper.

That matters. I can try more ideas, get to a useful version faster, and stop sooner when the idea is weak. I can spend less time on setup and more time on the product decisions that still belong to me.

Fewer handoffs,...