One email a month about AI and data, without the hype.
For leaders who make decisions on AI and data projects, and have no time to read noise.
On the first Tuesday of every month, we send you the month’s articles, each with a short introduction and one concrete figure, with a precise source. You decide which ones to read.
Omnit
jelazajban@hirlevel.omnit.hu
Signal over Hype
One email a month, without the hype
What an issue contains
The month’s articles in brief: the main claim, a supporting figure with its source, and why it is worth reading
Industry signals translated into concrete decision points, in a Hungarian context
Honest lessons from our projects, including what did not work
Why we started it
At the beginning of the summer, we spent a long time thinking about whether to start it at all.
279
subscribers in the first week
500+
readers today
Signal over Hype is the English edition of Jel a Zajban, the newsletter we launched on LinkedIn in June. We did not know what to expect. Then we were surprised: 279 people subscribed in the first week, today more than 500 read it, and every issue gets likes, comments and shares. That feels good, and it points in one direction: write even better articles, and reach even more readers.
Many people, however, are not on LinkedIn, or do not look at their notifications. This page is for them. Once a month we send you the month’s articles in one email, through a channel that does not depend on a platform’s algorithm and does not flood your inbox.
The problem is the noise, not a lack of information.
A finance or IT leader receives dozens of AI offers a year, and each one is the best, the cheapest, the most efficient.
At conferences, everyone says something different. In the news feed, new prophets promise tenfold productivity every day. You cannot make decisions from that.
We have been working in this field for 15 years. After more than 200 enterprise projects, we can see where AI and data projects are decided: not at the technology, but at the selection, the data and the management decisions. Next to every figure, we give the source, the sample size and the year. If a figure is old or not representative, we say so.
15+
years
200+
projects
Always
source · sample · year
What helps the decision. Nothing that only adds to the noise.
What will be in it
04 filtered itemsThe month’s articles, each with one paragraph: what the article claims, a concrete figure with a precise source, and why it is worth reading.
Industry signals translated into decision points, concrete numbers in a Hungarian context.
What our projects have taught us, failures included.
When there is a reason for it, a question for you: what do you see at your own company? We read the answers.
What will not be in it
Zero noiseProduct promotion and price lists.
Vendor hype and “AI solves everything” prophecies.
Pressure. If it leads to working together one day, good. If not, the email has still done its job.
Who writes it
Csaba Fekszi and Lajos Fehér, Omnit
Two co-owners who have been leading data and AI projects at Hungarian large enterprises since 2010, from banks through manufacturers to logistics companies. The two of us write it: the Hungarian edition, Jel a Zajban, weekly on LinkedIn, and the monthly email in Hungarian and English. If you reply to an email, it comes to us.
One email a month. Nothing else.
The month’s articles, with a short summary and precise sources.
Once a month we send you the month’s articles in one email, through a channel that does not depend on a platform’s algorithm and does not flood your inbox. You can unsubscribe at any time.
What people usually ask
Once a month. If there is no meaningful content in a month, we skip it.