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John Zeratsky ✓

@jazer · joined 20 Jul 2006

Backing founders with capital and sprints @charactercap. Author of SPRINT, CLICK, and MAKE TIME. ex-@gvteam @youtube @google

15 582Followers
246Following
8 335Posts total
48.1KViews on collected posts

Latest posts

Very few startups have a moat when they begin. But founders should identify one or more moats they could build, and have a plan for how they might get there. Speed is an important advantage in the beginning, but it is not durable. 605 views · 6 likes · 0 reposts · 1 replies Open on X →
Kevin is right. I had this same thought this morning (I swear I did haha!) Google should buy Instinct, build first-class integrations with all of Google, and throw a zillion TPUs behind it. Plus, they can prefer Google Pay over Link for payments, etc... Would be a huge win if 1.6K views · 5 likes · 0 reposts · 1 replies Open on X →
Truly thrilling progress from our portfolio company Inductive Bio, predicting human dose directly from chemical structure in drugs! 593 views · 5 likes · 1 reposts · 3 replies Open on X →
Today @inductive_bio is launching Beacon-2, which can predict human dose directly from chemical structure. A dirty secret of AI for drug discovery is that most systems optimize the wrong reward, making them near useless in practice. Human dose is the right reward – it’s what htt
35.9K views · 114 likes · 25 reposts · 17 replies Open on X →
Starting in just over an hour!! You can still sign up! 513 views · 6 likes · 0 reposts · 0 replies Open on X →
Heads up: On Thursday @jakek @eliblee and I are hosting an AMA and sneak peek at the redesigned format for Character Labs, including the new 5-day "Everything Week" in San Francisco. https://t.co/ph7GNNGMwu https://t.co/5HZY7OFFnk
1K views · 8 likes · 1 reposts · 1 replies Open on X →
Hey yall, quick announcement: Applications are due soon for Character Labs, our startup accelerator in San Francisco! More info and application link at https://t.co/vOW8SoK3Li The only accelerator that's 100% focused on product-market fit, it's based on sprints that we've run
8K views · 80 likes · 11 reposts · 4 replies Open on X →

Against accounts of the same size

7 posts from the last 90 days, next to the 10K–100K follower range. shown to more people than peers of the same size.

Median views1 003this account924median for 10K–100K
Reach, %6.44%this account3.62%median for 10K–100K
Engagement, %1.17%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post1 0039241.09×
Reach (views ÷ followers)6.44%3.62%1.78×
Engagement rate1.17%1.52%0.77×

Others in this range →   Compare with another account →   How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

8K3 Sep
1K15 Sep
51317 Sep
35.9K
593
1.6K18 Sep
60523 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.28%3 Sep
1.10%15 Sep
1.17%17 Sep
0.47%
1.52%
0.38%18 Sep
1.49%23 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes46.9%224 in total
Reposts7.9%38 in total
Replies5.6%27 in total
Quotes4.8%23 in total
Bookmarks34.7%166 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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