Jacob Newman ✓

@Jacob__Newman

Principal AI PM @ Amplitude

498Followers

4Following

49Posts total

251KViews on collected posts

Against accounts of the same size

7 posts from the last 90 days, next to the under 10K follower range. shown widely, but few of those viewers react.

Median views6 082this account2 112median for under 10K

Reach, %1221.29%this account157.00%median for under 10K

Engagement, %0.59%this account1.62%median for under 10K

Metric	This account	Median for under 10K	Ratio
Median views per post	6 082	2 112	2.88×
Reach (views ÷ followers)	12.2× audience	157.00%	7.78×
Engagement rate	0.59%	1.62%	0.37×

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

216.6K31 Aug

8.9K

6.1K

5.5K

5.1K

1.7K

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

0.20%31 Aug

0.59%

0.58%

0.49%

0.67%

1.22%

1.45%

Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.62%.

What the audience does

Likes43.1%604 in total

Reposts2.0%28 in total

Replies2.1%30 in total

Quotes1.6%23 in total

Bookmarks51.1%716 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.

Latest posts

@Jacob__Newman @Amplitude Fixing obvious friction is already valuable. The category gets really wild when the system starts finding things the team didn’t know to look for. 1.7K views · 23 likes · 0 reposts · 2 replies 31 Aug 2026 · Open on X →

@Amplitude (6/6) the most important takeaway here is that these improvements weren't the result of a human-curated roadmap or hours of steering an agent. Wave simply identified real opportunities based on behavioral data while we went about our other work. i truly believe Wave wi 5.1K views · 59 likes · 0 reposts · 2 replies 31 Aug 2026 · Open on X →

@Amplitude (5/6) we were just shooting ourselves in the foot on this one... Wave found that readers of our blog posts had no meaningful way to engage with us after they finished reading. it simply added a cta matched to each post's topic. early signal is about 45 extra sign-ups a 5.5K views · 36 likes · 0 reposts · 1 replies 31 Aug 2026 · Open on X →

@Amplitude (4/6) Wave identified that when new users landed on a setup checklist with five next-steps and no obvious first move, most of them stalled. Wave swapped it for one guided first step. the experiment is projected to move onboarding completion from ~6% to ~9%. https://t.c 6.1K views · 29 likes · 0 reposts · 1 replies 31 Aug 2026 · Open on X →

@Amplitude (3/6) this search one was embarrassing tbh. Wave noticed that when users searched with only 1-2 characters, our docs site gave 0 results without explaining that it had a 3 character minimum. Wave rebuilt the search experience around this limitation, educating users to 7K views · 39 likes · 0 reposts · 2 replies 31 Aug 2026 · Open on X →

@Amplitude (2/6) Wave found that most people ignored the suggestion cards on our agent homepage. they were generic. Wave personalized them to each user's recent work and had a working PR open in about 15 minutes. it drove a +160% increase in suggestions accepted during the a/b te 8.9K views · 49 likes · 2 reposts · 2 replies 31 Aug 2026 · Open on X →

(1/6) i'm the pm on Wave at @Amplitude, our agent for self-improving products. for the past few months we've had it running on our own product. it finds problems, ships fixes, and measures whether they worked. here are some highlights: https://t.co/Vo3fysYrbG 216.6K views · 369 likes · 26 reposts · 20 replies 31 Aug 2026 · Open on X →