My initial results with DALL-E 3 were a disaster. I was frustrated and ready to give up. This is the raw story of my struggle and the single 'aha' moment that unlocked its full potential for me.
What I've Learned From 147 Companies
Across 234 angel investments, including Anthropic, a few patterns in DALL-E come up again and again.
The founders who handle DALL-E well understand that timing is everything in this game.
Why Most Approaches Fail
Many common approaches to DALL-E are flawed at the root.
The root cause is usually one of three things:
Copying what big companies do without understanding why they do it. What works for Google doesn't work for a 10-person startup.
Over-engineering the solution when a simple approach would work better. I've seen teams spend six months building something that could have been done in two weeks.
Ignoring the human element. Technology is the easy part. Getting people to actually use it is where the real challenge lives.
The Numbers Don't Lie
Investing early in DALL-E can be the difference between raising your next round and running out of runway.
One of my portfolio companies went from struggling to profitable in under a year after they finally got serious about this. The founder told me later that they wished they'd started sooner.
This connects to broader themes around image generation, DALL-E, generative media, Stable Diffusion, Sora that I've been thinking about a lot lately.
Final Thoughts
There are no shortcuts in DALL-E, but there are smarter paths.
The strongest teams treat DALL-E as a competitive advantage, not a checkbox. They invest in it early, measure it obsessively, and never stop improving.
If you're just getting started with DALL-E, don't be intimidated. Everyone starts somewhere. The key is to start with the right mindset and the right framework, and then execute like your company depends on it. Because it probably does.
Frequently Asked Questions
Q:Do all experts agree with this view?
No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.
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.