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📚 Gagan Biyani's Biggest Lesson

👉 After building 3 startups, Gagan Biyani shares his biggest lesson on product-market fit. PLUS: A sales playbook to help you close deals faster.

👋 Hey — Egemen here.

Every bad deal starts with this one mistake: giving without getting.

Avoid this at all costs.

Whether it’s sales or achieving product-market fit, the same rule applies.

Creating and managing the need of push / pull dynamic between two parties - this is key to many startup challenges.

Today, we’re covering Gagan Biyani’s biggest lesson learned on PMF, and a practical sales playbook for you to close deals faster.

Here’s a snapshot of what’s on the menu today:

💡 Spotlight: #1 Most Used AI Tool For Advertising

🧠 Deep-Dive: Gagan Biyani’s Biggest Lesson on PMF

🗺️ Method: Give-get framework

⚾️ Catch: The First Search Engine For Leads

☝️ Scaled This Past Week: Wiz

💡 Spotlight: AdCreative

AdCreative automates the creation and optimization of ads, making digital advertising faster and more effective.

Helping businesses improve their marketing through:

  • AI-generated, high-converting ad creatives.

  • Automatic campaign optimization.

  • Real-time performance analytics.

🧠 Deep-Dive: Gagan Biyani’s Biggest Lesson on PMF

I’m an absolute fan of Gagan Biyani – and recently came across an incredibly valuable take by him, which I believe every founder must abide by.

Here’s one of my favorite takes of his, been a keen follower for how sincere he often is.

If you are a founder, and you have only 1 piece of advise that you can take with you, I’ll argue it must be this one below by him:

After building 3 startups, my biggest lesson on product-market fit is: Let the market pull.

A common mistake founders make is trying to force their vision down users' throats. They build a product they themselves love, then spend 90% of their energy on marketing.

Instead, experienced founders let the market pull them forward.

In my experiences as well, successful founders do the opposite:

  • Ship early and watch who actually uses it—and how.

  • Ignore the 95% who don’t care, and double down on the 5% who do.

  • Focus on what users are organically doing, not what you wish they’d do.

The very first edition of Scalable was exactly on this - check it out:
🚀 Launch Fast, Iterate Faster

In Gagan’s experience, Udemy originally bet on live classes, but the market pulled us toward on-demand video. That pivot turned a struggling product into a billion-dollar company. That means:

  • Vision is long-term. Product is short-term.

  • The market always gives you clues—listen.

  • Don’t force fit. Follow traction.

refind 🌀

🗺️ Method: The Give-Get Approach Framework

I’ve recently had the chance to implement this framework in a B2B SaaS startup.

This is perfect for B2B sales teams who want more control, stronger deals, and fewer one-sided asks.

Inside you’ll find:

🎯 A simple Give-Get principle explained
🔁 A customizable trade-off table (what they ask vs. what you get)
🧰 A top 5 “must-get” checklist for every deal
🚫 Non-negotiables to avoid weak agreements
✅ A practical 4-step implementation plan

(PS: All digital products are free for the Private Founders Community)

⚾️ Catch

The first search engine for leads

Leadsforge is the very first search engine for leads. With a chat-like, easy interface, getting new leads is as easy as texting a friend! Just describe your ideal customer in the chat - industry, role, location, or other specific criteria - and our AI-powered search engine will instantly find and verify the best leads for you. No more guesswork, just results. Your lead lists will be ready in minutes!

☝️ Scaled This Past Week: Wiz

Wiz - acquired by Google, probably the largest acquisition ever in the industry - it’s the scale of the week!

This acquisition is so good, almost 1700 employees became millionaires instantly.

Here are the biggest winners of this deal:

  • Cyberstarts: Invested $6.4M and stands to make around $1.3 billion (225x)

  • Sequoia: Invested $120M and stands to make around $3 billion (25x)

  • Greenoaks: Stands to make $2 billion from an initial 300M (6.7x)

Haven’t seen anything like this for a long while - a moment to remember!

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