Harrison Chase ✓

@hwchase17 · joined 29 Jul 2014

@LangChain Always hiring: https://t.co/D5Ut3loFO7

128 646Followers

585Following

17 458Posts total

402.3KViews on collected posts

Against accounts of the same size

7 posts from the last 90 days, next to the 100K–1M follower range. ordinary reach for its size, weaker reaction than most.

Median views7 658this account21 891median for 100K–1M

Reach, %5.95%this account6.81%median for 100K–1M

Engagement, %0.57%this account1.14%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	7 658	21 891	0.35×
Reach (views ÷ followers)	5.95%	6.81%	0.87×
Engagement rate	0.57%	1.14%	0.50×

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

356K7 Aug

7.4K1 Sep

7.7K

7.5K

9.3K

9.7K2 Sep

4.7K

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

0.30%7 Aug

0.14%1 Sep

0.57%

0.61%

0.18%

1.16%2 Sep

1.03%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.14%.

What the audience does

Likes34.3%1 080 in total

Reposts4.1%129 in total

Replies3.3%105 in total

Quotes1.1%34 in total

Bookmarks57.2%1 798 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

we have an absolutely killer lineup for our Interrupt conference in NYC (sept 24th) in particular, im excited about the fireside chats we're doing with with founders at different parts of the agent stack: - @alexatallah: openrouter is a key part of how companies maintain model 4.7K views · 33 likes · 8 reposts · 6 replies 02 Sep 2026 Agent traces shouldn’t only be useful to infra teams For most builders, the fastest way to debug an agent is to replay the conversation + tool calls in the shape the agent experienced them That’s the idea behind Messages View in LangSmith 9.7K views · 74 likes · 10 reposts · 29 replies 02 Sep 2026 The new LangSmith “Messages View” dropped into my account (beta rollout) Makes following @LangChain traces as easy as following the chat! https://t.co/8t1Ds8fibc 9.3K views · 12 likes · 2 reposts · 2 replies 01 Sep 2026 Deep research is a complex, multi-step search and synthesis workflow This is exactly the kind of workflow Deep Agents is meant to make easier to build 7.5K views · 32 likes · 2 reposts · 12 replies 01 Sep 2026 ❤️ still early, lots to build, keep the feedback coming 7.7K views · 38 likes · 0 reposts · 6 replies 01 Sep 2026 I have been using langgraph for like a year and a half now and i can easily say the growth this company has had and the way they have listened to the community is quite remarkably unmatched. Awesome work @hwchase17 7.4K views · 9 likes · 0 reposts · 0 replies 01 Sep 2026 https://t.co/NnFGj7FSYK 356K views · 882 likes · 107 reposts · 50 replies 07 Aug 2026