๐ Hi there - itโs Egemen.
Staying ahead shouldnโt be left to chance.
There is a lot of good, not-so-good, bad, and ill advice for founders out there.
Itโs 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 โproduct-led growthโ creates and how itโs misrepresented.
This edition is all about making sure that you stay on top of your game.
Hereโs a snapshot of whatโs on the menu today:
๐ก Spotlight: The Edge You Need
๐ง Deep-Dive: Key to Win in Early-Stage SaaS
๐บ๏ธ Method: #1 Bestselling Book on Product-Led Growth
โพ๏ธ Catch: Start Mastering AI
โ๏ธ Scaled This Past Week: Quantexa
๐ก Spotlight: The Edge You Need
For a while now, Iโve been sharing insights through the newsletter.
But I wanted to create something deeper, more practical, and more hands-on.
So, Iโm 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

๐ง Deep-Dive: Key to Win in Early-Stage SaaS
If your first instinct is to build a signup flow instead of selling, youโre optimizing for convenience, not growth.
Iโve seen this tweet the other day by Albert Mao, the founder of Vectorshift, and I think itโs criminally underrated.
You are better than 99% of founders if every day you:
1. Talk to users
2. Iterate on your product
3. Sell the productEverything else is a distraction.
Repeat this every day and you will be among the best.
โ Albert Mao (@AlbertZMao)
2:00 PM โข Mar 7, 2025
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 โgrow without sales.โ But PLG isnโt about skipping sales - itโs what kicks in at scale, when thereโs already demand.
๐ 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 isnโt the funnelโitโs demand.
Self-serve works when customers already know they need you. At the start, they donโt even know what problem youโre solving for.
In the early days, sales isnโt optionalโitโs essential.
Youโre not just selling the product, youโre selling the idea. Youโre refining your messaging, learning objections, and figuring out what actually resonates.
PLG doesnโt replace thatโit builds on top of it once the messaging is already dialed in.
So PLG isnโt a shortcut to growth. Itโs 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 arenโt buying in the first place.
๐ Early-stage founders need to get their hands dirty, sell manually, and iterate fast.


๐บ๏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 โThe PLG Guyโ.
I learned a lot about PLG simply by reading through his short book, which is available for free on his website.
๐ 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.

โพ๏ธ Catch
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โ๏ธ Scaled This Past Week: Quantexa
British tech unicorn Quantexa bags $175M at $2.6B valuation - itโs the scale of the week!
Hereโs 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.






