Confluent, an IBM Company ✓

@confluentinc · Mountain View, CA · joined 23 Sep 2014

The World's Data Streaming Platform

43 605Followers

237Following

9 796Posts total

6.5KViews on collected posts

Against accounts of the same size

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

Median views1 267this account949median for 10K–100K

Reach, %2.91%this account3.23%median for 10K–100K

Engagement, %0.08%this account2.00%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	1 267	949	1.34×
Reach (views ÷ followers)	2.91%	3.23%	0.90×
Engagement rate	0.08%	2.00%	0.04×

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

1.5K19 Aug

1.1K25 Aug

1.2K27 Aug

1.3K4 Sep

1.4K5 Sep

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.33%19 Aug

0.00%25 Aug

0.17%27 Aug

0.08%4 Sep

0.00%5 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 2.00%.

What the audience does

Likes38.5%5 in total

Reposts15.4%2 in total

Replies7.7%1 in total

Bookmarks38.5%5 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

The right data, in the right place, ready for the right moment. You’ve seen @visacashapprb shave milliseconds off each practice lap. Here’s how we help them do it. #ItalyGP #F1 #VCARB #Confluent https://t.co/0lCH7xkdLC 1.4K views · 0 likes · 0 reposts · 0 replies 05 Sep 2026 · Open on X →

Batch reports only tell models what has already happened. AI agents need data that moves as fast as they do. Learn how to power agentic projects with real-time data: https://t.co/GeKpiCJQLw https://t.co/E57ghe4LvK 1.3K views · 1 likes · 0 reposts · 0 replies 04 Sep 2026 · Open on X →

AI day is finally coming to NYC! Build real-time AI agents with us on September 3rd. Join us to learn from AI experts, network, build your own AI app, and win over $5,000 in prizes: https://t.co/8xpb3vMFg7 https://t.co/crVHfjr3IC 1.2K views · 1 likes · 1 reposts · 0 replies 27 Aug 2026 · Open on X →

Stop splitting operational apps and AI pipelines across separate systems. Express stateful business logic directly in code, keep data lakes fresh, and serve real-time context directly to AI models, all in Confluent Cloud for Apache Flink: https://t.co/hDNXOkT3BZ https://t.co/Mad 1.1K views · 0 likes · 0 reposts · 0 replies 25 Aug 2026 · Open on X →

AI agents fail when they reason over stale data. This week's Confluent Intelligence and AI tools launch fixes this gap by streaming fresh context straight to your models. See it in action below and learn more on our blog: https://t.co/wlPyIxfNwo https://t.co/duomNDgAdW 1.5K views · 3 likes · 1 reposts · 1 replies 19 Aug 2026 · Open on X →