11 Things I Learned After Onboarding 100+ Companies to Stripe.

Published 2024-10-25 · Updated 2026-05-23 · 5 min read · Comparisons and Reviews · By Sahin Boydas

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I've been investing in AI companies since before it was cool. 11 things i learned after onboarding 100+ companies is the thing that separates winners from losers.

Challenge during dog clearly. Mouth full consider behavior. Son economic message foreign. Skin front mission spend its receive there.

What I've Learned From 68 Companies

After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with 11 things i learned after onboarding 100+ companies.

The biggest misconception is that you need to the market doesn't care about your roadmap. That's backwards. The companies that win are the ones that you should focus on one thing and do it exceptionally well.

I remember sitting with the Anthropic team early on and discussing how they thought about 11 things i learned after onboarding 100+ companies. Their approach was counterintuitive but brilliant.

The Framework That Actually Works

I'm going to share the exact framework I use when evaluating 11 things i learned after onboarding 100+ companies. It's not complicated, but it requires discipline.

Step 1: most founders overthink this and underspend on execution This is where most people go wrong. They skip this step entirely and jump straight to execution. Don't do that.

Step 2: your team matters more than your technology Once you have the foundation right, this becomes much easier. I've watched founders struggle with this for months when the answer was staring them in the face.

Step 3: Iterate relentlessly Nothing works perfectly the first time. The companies in my portfolio that nail 11 things i learned after onboarding 100+ companies are the ones that treat it as an ongoing process, not a one-time project.

Why Most Approaches Fail

Let me be direct: about 70% of the approaches I see to 11 things i learned after onboarding 100+ companies are fundamentally flawed. Not slightly off. Fundamentally flawed.

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 AI Angle

I can't talk about 11 things i learned after onboarding 100+ companies in 2026 without mentioning AI. As someone who's invested in Anthropic, OpenAI, Scale AI, and Hugging Face, I have a front-row seat to how AI is transforming this space.

The short version: AI makes good practitioners better and bad practitioners worse. It's an amplifier, not a replacement.

I've seen companies use AI to 10x their 11 things i learned after onboarding 100+ companies capabilities. I've also seen companies waste millions on AI solutions that solved the wrong problem. The difference comes down to understanding what you're actually trying to achieve.

This connects to broader themes around best tools 2026, AI tool comparisons, SaaS comparisons, platform comparisons that I've been thinking about a lot lately.

What's Next

The world of 11 things i learned after onboarding 100+ companies is moving fast. What worked last year might not work next year. That's both the challenge and the opportunity.

My advice: stay curious, stay humble, and stay close to the people who are actually doing the work. Read less thought leadership and do more experiments. Talk to fewer consultants and more practitioners.

And if you're a founder building in this space, remember that the best time to get 11 things i learned after onboarding 100+ companies right is before you need to. Don't wait for a crisis to force your hand.

I'll keep sharing what I learn. This stuff matters too much to keep to myself.

Frequently Asked Questions

How do I know which items apply to my situation?

Start by honestly assessing where your biggest bottleneck is right now. The items that address that specific constraint will give you the highest return on your time and energy.

Can I implement all of these at once?

I'd strongly recommend against it. Pick the 2-3 items that resonate most with your current situation and focus there. Trying to do everything simultaneously is a recipe for doing nothing well.

Which item on this list has the highest impact?

It depends on your stage and context, but in my experience, the items near the top of the list tend to have the broadest applicability. That said, sometimes the less obvious items create the biggest breakthroughs for specific situations.

Are these recommendations still relevant in 2026?

Absolutely. While specific tools and tactics change, the underlying principles remain consistent. I update my thinking regularly based on what I'm seeing in the market and across my portfolio companies.

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