Sahin Boydas
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Nobody Talks About DALL-E 3 for Founders

What founders should know about DALL-E 3 beyond the hype: where AI image generation helps a product, where it falls short, and what relying on it costs.

2024-11-217 min read586 words

It is easy to be wrong about DALL-E, and the mistakes teach the most.

As a VC and serial founder, I see what's really happening with DALL-E 3 behind the scenes. This is the insider perspective for for developers that you won't find on any news site.

The Counterintuitive Truth

In DALL-E, the best practitioners often do less, not more.

The lesson: customer feedback is the only metric that matters. It sounds simple. It's incredibly hard to execute.

What I've Learned From 124 Companies

A few patterns in DALL-E come up again and again.

The founders who handle DALL-E well understand that the data tells a different story than your gut.

The Reality Nobody Talks About

A lot of the advice on DALL-E rests on assumptions that made sense five years ago. The world has moved on.

The first thing to understand is that the best solutions are often the simplest ones. I've seen this play out across dozens of companies. The pattern is unmistakable.

Many teams spend months on the wrong path before realizing that customer feedback is the only metric that matters. Once they make the switch, everything changes.

Real Talk: What Actually Matters

Here is what actually matters in DALL-E.

First, execution speed beats perfection. Every time. Companies rarely fail because they moved too fast on DALL-E. Many fail because they moved too slowly.

Second, measure everything. If you can't measure it, you can't improve it. Set up tracking from day one, even if it's basic.

Third, talk to your users. It sounds obvious, but many founders make decisions about DALL-E in a vacuum. Get out of the building. Talk to real people.

This connects to broader themes around DALL-E, AI art, generative media, Midjourney, image generation that I've been thinking about a lot lately.

The Bottom Line

None of this is rocket science. But it does require intentionality, consistency, and a willingness to learn from mistakes.

If you take one thing from this article, let it be this: start now, start small, and iterate. The founders who win at DALL-E aren't the ones with the best strategy on paper. They're the ones who execute, learn, and adapt faster than everyone else.

Companies that take DALL-E seriously tend to pull ahead of the ones that don't.

If you're working on something interesting in this space, I'd love to hear about it. Drop me a line.

FAQ

Frequently Asked Questions

Q:How has this view evolved over time?

My thinking on most topics has changed significantly over the years. Early in my career, I held many conventional views that experience proved wrong. I try to update my beliefs when the evidence changes.

Q:How can I apply this thinking to my own situation?

Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.

Q:What experience informs this perspective?

This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 234 startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.

Q:What's the most common pushback you get on this?

People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.

Written by

Sahin Boydas

Serial entrepreneur, #1 angel investor, author of Becoming Top 1%

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