π Hi there - itβs Egemen.
Staying ahead shouldnβt be left to chance.
There is a lot of good, not-so-good, bad, and ill advice for founders out there.
Itβs 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 βproduct-led growthβ creates and how itβs misrepresented.
This edition is all about making sure that you stay on top of your game.
Hereβs a snapshot of whatβs on the menu today:
π‘ Spotlight: The Edge You Need
π§ Deep-Dive: Key to Win in Early-Stage SaaS
πΊοΈ Method: #1 Bestselling Book on Product-Led Growth
βΎοΈ Catch: Start Mastering AI
βοΈ Scaled This Past Week: Quantexa
π‘ Spotlight: The Edge You Need
For a while now, Iβve been sharing insights through the newsletter.
But I wanted to create something deeper, more practical, and more hands-on.
So, Iβm introducing Membership Packages β 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

π§ Deep-Dive: Key to Win in Early-Stage SaaS
If your first instinct is to build a signup flow instead of selling, youβre optimizing for convenience, not growth.
Iβve seen this tweet the other day by Albert Mao, the founder of Vectorshift, and I think itβs 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 βgrow without sales.β But PLG isnβt about skipping sales - itβs what kicks in at scale, when thereβs already demand.
π 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 isnβt the funnelβitβs demand.
Self-serve works when customers already know they need you. At the start, they donβt even know what problem youβre solving for.
In the early days, sales isnβt optionalβitβs essential.
Youβre not just selling the product, youβre selling the idea. Youβre refining your messaging, learning objections, and figuring out what actually resonates.
PLG doesnβt replace thatβit builds on top of it once the messaging is already dialed in.
So PLG isnβt a shortcut to growth. Itβs 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 arenβt buying in the first place.
π Early-stage founders need to get their hands dirty, sell manually, and iterate fast.


πΊοΈ Method: #1 Bestselling Book on Product-Led Growth
As we talk about product-led growth (or PLG), Wes Bush is the man β with quite literally the nickname of βThe PLG Guyβ.
I learned a lot about PLG simply by reading through his short book, which is available for free on his website.
π 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.

βΎοΈ Catch
Start learning AI in 2025
Keeping up with AI is hard β we get it!
Thatβs why over 1M professionals read Superhuman AI to stay ahead.
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βοΈ Scaled This Past Week: Quantexa
British tech unicorn Quantexa bags $175M at $2.6B valuation - itβs the scale of the week!
Hereβs 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.





