๐Ÿ‘‹ Hi there - itโ€™s Egemen.

Staying ahead shouldnโ€™t be left to chance.

There is a lot of good, not-so-good, bad, and ill advice for founders out there.

Itโ€™s already tough enough to launch a product, gain customers, hire people to scale and move on with operations.

Bad practices (or malpractices) due to poor advice can cost a lot. One area that I often see lately is in early sales and the dilemma โ€œproduct-led growthโ€ creates and how itโ€™s misrepresented.

This edition is all about making sure that you stay on top of your game.

Hereโ€™s a snapshot of whatโ€™s on the menu today:

โ

๐Ÿ’ก Spotlight: The Edge You Need

๐Ÿง  Deep-Dive: Key to Win in Early-Stage SaaS

๐Ÿ—บ๏ธ Method: #1 Bestselling Book on Product-Led Growth

โšพ๏ธ Catch: Start Mastering AI

โ˜๏ธ Scaled This Past Week: Quantexa

๐Ÿ’ก Spotlight: The Edge You Need

For a while now, Iโ€™ve been sharing insights through the newsletter.

But I wanted to create something deeper, more practical, and more hands-on.

So, Iโ€™m introducing Membership Packages โ€” a space for founders who want to move faster, make better decisions, and gain an edge.

If the free newsletter has been valuable so far, this takes it to another level.

  • Full access to content library (fundraising, product, GTM, growth, and more)

  • 100% OFF in Scalable Template Store ($847 value)

  • Perks & discounts in 20+ tools and platforms

  • Invite-only workshops & masterclasses

  • Discounts in all future resources

  • Private founders community

  • Weekly 1:1s

๐Ÿง  Deep-Dive: Key to Win in Early-Stage SaaS

If your first instinct is to build a signup flow instead of selling, youโ€™re optimizing for convenience, not growth.

Iโ€™ve seen this tweet the other day by Albert Mao, the founder of Vectorshift, and I think itโ€™s criminally underrated.

In the early days, founders have to sell.

That means getting in the trenches, talking to customers, refining your pitch, and closing deals manually.

In my experiences and observations so far, in practice, I can say that product-led growth (PLG) is often misunderstood and misconducted within this context by many founders.

Founders see companies like Slack or Notion and think they can โ€œgrow without sales.โ€ But PLG isnโ€™t about skipping sales - itโ€™s what kicks in at scale, when thereโ€™s already demand.

๐Ÿ‘‰ This is why most startups fail with self-serve or gradual engagement.

They think removing friction will bring growth. But if no one is buying, the problem isnโ€™t the funnelโ€”itโ€™s demand.

Self-serve works when customers already know they need you. At the start, they donโ€™t even know what problem youโ€™re solving for.

In the early days, sales isnโ€™t optionalโ€”itโ€™s essential.

Youโ€™re not just selling the product, youโ€™re selling the idea. Youโ€™re refining your messaging, learning objections, and figuring out what actually resonates.

PLG doesnโ€™t replace thatโ€”it builds on top of it once the messaging is already dialed in.

So PLG isnโ€™t a shortcut to growth. Itโ€™s a scaling strategy, not a market-entry strategy. If you skip sales and hope your product speaks for itself, you might never find out why people arenโ€™t buying in the first place.

๐Ÿ‘‰ Early-stage founders need to get their hands dirty, sell manually, and iterate fast.

beehiiv ๐Ÿ

refind ๐ŸŒ€

๐Ÿ—บ๏ธ Method: #1 Bestselling Book on Product-Led Growth

As we talk about product-led growth (or PLG), Wes Bush is the man โ€“ with quite literally the nickname of โ€œThe PLG Guyโ€.

I learned a lot about PLG simply by reading through his short book, which is available for free on his website.

๐Ÿ‘‰ If you truly want to have a solid grasp of what product-led growth is, how it should be implemented in your startup properly and how to use it as a growth catalyst - I highly recommend reading this.

โšพ๏ธ Catch

Start learning AI in 2025

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โ˜๏ธ Scaled This Past Week: Quantexa

British tech unicorn Quantexa bags $175M at $2.6B valuation - itโ€™s the scale of the week!

Hereโ€™s what they do:

  • Provides AI-powered Decision Intelligence (DI) solutions, helping enterprises and government agencies make smarter, data-driven decisions.

  • Recently launched Q Assist, an AI-powered assistant that enhances investigations by allowing analysts to interact with data using natural language.

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