Reynold Xin ✓

@rxin · San Francisco, CA · joined 28 Nov 2008

Cofounder @Databricks

14 710Followers

733Following

2 620Posts total

587.6KViews on collected posts

Against accounts of the same size

1 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views31 320this account2 751median for 10K–100K

Reach, %212.92%this account9.00%median for 10K–100K

Engagement, %0.64%this account1.65%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	31 320	2 751	11.4×
Reach (views ÷ followers)	2.1× audience	9.00%	23.7×
Engagement rate	0.64%	1.65%	0.39×

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

7.5K18 Dec

532.1K17 Feb

4.2K

9.2K20 May

3.3K28 May

31.3K1 Jul

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.97%18 Dec

0.26%17 Feb

1.30%

0.68%20 May

1.33%28 May

0.64%1 Jul

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.65%.

What the audience does

Likes73.9%1 483 in total

Reposts8.7%175 in total

Replies3.7%74 in total

Quotes4.9%99 in total

Bookmarks8.8%176 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

I find the Lakebase design for serverless Postgres very elegant, so I spent some time explaining how it works in this blog. The blog starts by explaining how databases really persist data (with a write-ahead-log and data files that are updated async), and how Lakebase separates 31.3K views · 159 likes · 29 reposts · 6 replies 01 Jul 2026 The future of databases is being built directly on top of object stores. We call this the Lakebase architecture. For a long time, the industry treated data lakes strictly as analytical or offline storage. But the Lakebase architecture is changing that by enabling true 3.3K views · 35 likes · 8 reposts · 1 replies 28 May 2026 Oracle has spent the last two weeks writing articles comparing Oracle (and PDB) to Lakebase, and it highlights a massive philosophical divide in how we view databases in the agentic era. They are trying to retrofit heavy, traditional architectures for AI. We believe Lakebase are 9.2K views · 48 likes · 10 reposts · 2 replies 20 May 2026 Instead of configuring the Cursor agent from scratch, you can now install the Databricks plugin once and use it to build custom applications that query production data. 4.2K views · 48 likes · 4 reposts · 3 replies 17 Feb 2026 Extend Cursor with plugins, now available in our marketplace. https://t.co/5lMEi9jath 532.1K views · 1.1K likes · 118 reposts · 61 replies 17 Feb 2026 Yesterday we talked about how we got to $1B revenue run rate for our data warehousing business with Lakehouse. Today, we are excited to announce a whole suite of improvements for Lakebase: ⚡ Autoscaling that dynamically adjusts compute based on load 🕛 Scale to zero, allowing 7.5K views · 65 likes · 6 reposts · 1 replies 18 Dec 2025