Inside ML@Scale #4

Flat month. What I am doing about it?

Every 25th of the month, I publish Inside ML@Scale — a full, honest look at the business behind this newsletter.

The good, the bad.

What’s growing, what’s stagnating, what I’m trying that isn’t working (or sometimes is?)

What’s in the free section (this part)

Every edition will have:

• Top-line numbers

• The one thing that worked that month

• The one thing that didn’t work

• What I’m trying next

Top-line: where we are in July 2026

• 14,900+ free subscribers

• 50,000+ LinkedIn followers

• ~25% open rate (still constant, need to work on this!)

• 6x/week LinkedIn cadence, 3x/week newsletter cadence

What worked this month

This month was a nice month in terms of free subs. However paid subs did not growth much.

THE ZÜRICH FEED [Edition #7]

Cursor Composer 2 report deep dive.

Your RL Training Loop Is a Distributed Systems Problem

THE ZÜRICH FEED [Edition #6]

ML@Scale 1:1 — Judit, ML Engineer at a Danish fashion-forecasting startup [Edition #2]

I added 400 free subs, but 0 paid subs (some new, some churned == 0 growth)

I believe I published really good articles about my personal career, like:

How I run 15 experiments at a time

My manager asked me to stop working on my scope. I turned it into the strongest L5 evidence I have

But they did not hit the way i intended them to. Will repackage them because I believe there’s lots of value.

What didn’t work

Free to paid conversion!

What I’m trying next

In august, I will go “full technical deep dive” with a series on Generative recommendations. In july, I will instead go full “personal stories”. Let’s see how that changes things!

The business numbers

All right. Let’s get into the details.

Paid subs graph