Sam Liebeskind
@samliebeskind
product strategy at New_Public; previously community & growth @ Geneva
Sam Liebeskind
What can someone who's built multiple billion-dollar companies teach you? Some lessons from my conversation with Brad Jacobs: 1. If you get the major trend right, you can make mistakes and still succeed. 2. If you want extraordinary results, you can’t think like everyone else. 3. Complexity hides opportunity. 4. Focus on return on capital and
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In the early days of the newsletter, we were approached on several occasions with offers of money in exchange for advertising. Some people felt very strongly that this was a no-brainer—we needed money for various things, and this was a straightforward way to get it. I resisted. My concerns were twofold: one, I was worried readers... See more
In the early days of the newsletter, we were approached on several occasions with offers of money in exchange for advertising. Some people felt very strongly that this was a no-brainer—we needed money for various things, and this was a straightforward way to get it. I resisted. My concerns were twofold: one, I was worried readers... See more
Writing It Right: Reflections on Seven Years of Neighborhood Newsletters
Algorithmic feeds: good or bad?
Many people claim they just want a chronological feed, but studies consistently show the vast majority of people prefer algorithmic recommendations, because they surface more of what users actually want, compared to chronological feeds.
That said, it’s not as simple as “algorithms good.” There’s evidence that... See more
Many people claim they just want a chronological feed, but studies consistently show the vast majority of people prefer algorithmic recommendations, because they surface more of what users actually want, compared to chronological feeds.
That said, it’s not as simple as “algorithms good.” There’s evidence that... See more
Yes, Section 230 Should Apply Equally To Algorithmic Recommendations
The difference becomes clear in how the feed responds to your behavior. Let’s say you click on a note about climate policy. In the old two-tower system, this single interaction would contribute minimally to your overall profile, especially if climate wasn’t already one of your core subscription topics. The model’s simplistic averaging approach... See more
Mike Cohen • How the Substack feed is learning to understand your reading journey
