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Jeff Bussgang ✓

@bussgang · Boston · joined 06 Jan 2009

Former entrepreneur turned VC @Flybridge, teach @HarvardHBS. Books: The Experimentation Machine (AI & PMF), Entering StartUpLand, Mastering the VC Game.

45 154Followers
1 134Following
6 418Posts total
293.8KViews on collected posts

Latest posts

A lot has been written about AI safety and pacing in recent days. My partner @chazard takes an optimistic view on all of this. In truth, focusing on safety and trust is good for many, many reasons. https://t.co/g8I9GQtlEL 654 views · 2 likes · 0 reposts · 2 replies Open on X →
🫡@paulg -- "In fact there are only two things universities need to change to be perfect at preparing founders: they need to make students feel that starting a startup is something they can do, and they need to encourage them to work on their own projects." @HarvardHBS @Harvard 1.2K views · 9 likes · 0 reposts · 4 replies Open on X →
@bussgang @Harvard @nytimes https://t.co/dSxW2IWYZg 8 views · 0 likes · 0 reposts · 0 replies Open on X →
@bussgang @chrisfralic @Harvard @nytimes A small part… but the AI replica is the cover photo! 👏 78 views · 2 likes · 0 reposts · 0 replies Open on X →
Been fun to be a small part of this AI initiative at @Harvard, as captured in this weekend's @nytimes -- https://t.co/4DBpE5kPuR 1.5K views · 4 likes · 1 reposts · 2 replies Open on X →
Proud of the team at our portfolio company @micro1_ai, who continue to prove the value of AI training data. $500m in revenue and accelerating. (another category that was supposed to be commoditized and yet…) https://t.co/AsiuxMFBaG 1.5K views · 8 likes · 1 reposts · 0 replies Open on X →
Harvard agrees to pay millions after morgue manager sold body parts https://t.co/lwCM0moG0M 287.9K views · 428 likes · 146 reposts · 30 replies Open on X →
pleased to share my annual rocket ship list -- the ~ 900 companies startup joiners should work for, including 35 insane "supernovas" https://t.co/5rtGTmasBJ 980 views · 6 likes · 0 reposts · 2 replies Open on X →

Against accounts of the same size

7 posts from the last 90 days, next to the 10K–100K follower range. ordinary reach for its size, weaker reaction than most.

Median views1 233this account924median for 10K–100K
Reach, %2.73%this account3.62%median for 10K–100K
Engagement, %0.61%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post1 2339241.33×
Reach (views ÷ followers)2.73%3.62%0.75×
Engagement rate0.61%1.52%0.40×

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

9806 May
287.9K19 Aug
1.5K21 Aug
1.5K23 Aug
78
824 Aug
1.2K25 Aug
65416 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.82%6 May
0.22%19 Aug
0.68%21 Aug
0.47%23 Aug
2.56%
0.00%24 Aug
1.05%25 Aug
0.61%16 Sep

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

What the audience does

Likes61.7%459 in total
Reposts19.9%148 in total
Replies5.4%40 in total
Quotes2.4%18 in total
Bookmarks10.6%79 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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