The secret to fast startup growth isn’t early sales, top names in tech say

The Revenue Mirage

Every founder I talk to has the same obsession: the first dollar. There is a specific kind of high that comes from seeing that first Stripe notification. It feels like validation. It feels like you finally have a business. But if you talk to the people who have actually built things that lasted more than a fiscal quarter, they will tell you that early sales are often a distraction.

Recently, voices from Theory Ventures and companies like Lovable and Polsia have been pushing a narrative that goes against the standard 'hustle' culture. The takeaway is simple but painful: your first 90 days should be about listening, not just closing. If you focus solely on hitting a sales target in those three months, you might accidentally build a product that nobody actually wants to keep.

The Danger of the Early Close

When you are in the early stages, especially in the intersection of AI and crypto where the hype is deafening, it is easy to sell a promise. You can find twenty people willing to give you five hundred dollars for a vision. That is not a business; that is a donation to your education. The problem is that many founders mistake these 'visionary' sales for product-market fit.

If you spend your first 90 days chasing every lead, you end up with a fragmented product. One customer wants an AI-driven trading bot, another wants a decentralized storage solution, and a third just wants a faster way to manage their payroll. If you take all their money, you are now working for three different masters. You aren't building a scalable product; you are running a very expensive consultancy.

The 90-Day Discovery Phase

Instead of looking at the first three months as a sales sprint, think of it as a feedback loop. Tomasz Tunguz, who has seen more cap tables than most of us have seen lines of code, often points out that the quality of the revenue matters more than the quantity. High-quality revenue comes from customers who use the product because it solves a specific, repeatable pain point.

For builders, this means your GTM (Go-To-Market) strategy should be heavy on inquiry and light on the hard sell. You need to understand the 'why' behind the purchase. If a customer buys your software because they are your friend or because they like your Twitter presence, that revenue is fake. It won't scale. You need to find the strangers who have a problem so painful they are willing to deal with your early-stage bugs just to get a solution.

Building the Feedback Machine

The goal is to reach a point where your product sells itself because the value proposition is undeniable. To get there, you need a tight loop between your sales efforts and your engineering team. In the crypto space, we see this fail all the time. Teams build a protocol, launch a token, and then wonder why nobody is building on top of it. They sold the token, but they didn't sell the utility.

• Focus on retention over acquisition: If you sign ten users and eight of them leave after a month, your sales process is broken, no matter how much they paid upfront.
• Identify the 'Aha' moment: What is the specific feature that makes a user decide they can't live without your tool? Find it and double down.
• Filter your leads: Not every customer is a good customer. If someone asks for features that deviate from your core vision, have the guts to say no.

The Founder-Led Sales Trap

There is a specific trap I see founders fall into where their personal charisma carries the sales. You are passionate, you are the builder, and you can convince anyone to try your product. But you aren't going to be the one making every sales call when you hit Series A. If the sales process requires your personal touch to close, the product isn't ready.

The first 90 days should be used to create a repeatable process that someone else could execute. You are looking for the common denominators. What questions do they ask? What objections do they have? If you don't document this, you are just a salesperson with a technical hobby, not a CEO.

Metrics That Actually Matter

Forget the total revenue for a second. Look at the engagement metrics. In AI, this is particularly important. There are thousands of 'wrapper' apps that get a ton of signups because people are curious about AI, but the usage drops off a cliff after forty-eight hours. If you are building in this space, your metric for success shouldn't be 'number of users,' it should be 'number of users who came back four days in a row.'

The most dangerous thing a startup can have is a small amount of success that masks a fundamental flaw in the product.

We see this in DeFi protocols all the time. A high APY brings in liquidity, but as soon as the incentives dry up, the users vanish. That isn't growth; that's an expensive way to borrow users. Real growth is boring. It's incremental. It's a user telling another user that your tool actually works.

What This Means for You

If you are a founder in the middle of your first 90 days, stop looking at your bank balance for a minute. Look at your support tickets. Look at your churn rate. Talk to the people who canceled their trial and ask them why. The answers will be more valuable than the five hundred dollars you lost.

The consensus from the top builders is clear: sales are a byproduct of a solved problem. If you spend your time chasing the money, the problem stays unsolved. If you spend your time solving the problem, the money eventually becomes the easy part.

Build for the long term. Don't let a few early checks convince you that you've already won. The real work is making sure those customers are still there a year from now.

Read the original at TechCrunch Venture →