Artificial Analysis ✓

@ArtificialAnlys · San Francisco · joined 06 Jan 2024

Independent analysis of AI

136 022Followers

666Following

3 168Posts total

1.9MViews on collected posts

Against accounts of the same size

3 posts from the last 90 days, next to the 100K–1M follower range. right around the median for its follower range.

Median views10 505this account21 891median for 100K–1M

Reach, %7.72%this account6.81%median for 100K–1M

Engagement, %1.07%this account1.14%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	10 505	21 891	0.48×
Reach (views ÷ followers)	7.72%	6.81%	1.13×
Engagement rate	1.07%	1.14%	0.94×

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

1.1M6 Jul

704K

10.5K3 Sep

42.7K

10.4K

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

0.25%6 Jul

0.13%

0.87%3 Sep

1.11%

1.07%

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

What the audience does

Likes76.6%3 495 in total

Reposts12.6%575 in total

Replies4.0%183 in total

Quotes1.6%74 in total

Bookmarks5.2%236 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

Wan 3.0 debuts at #1 on the Artificial Analysis Video Editing Leaderboard, and is a close #2 in Text to Video with Audio Wan 3.0 is Alibaba's new all-in-one video generation and editing model, positioned as a single system for turning multimodal creative direction into video. It 10.4K views · 87 likes · 12 reposts · 11 replies 03 Sep 2026 Meta's Muse Spark 1.3 (max), which is in limited preview for Meta's partners, scores 68 on the Artificial Analysis Coding Agent Index in the Muse Code harness, #2 behind only Claude Opus 5 (xhigh) in Claude Code. The variant available now, Muse Spark 1.3 (xhigh), scores 64 and ht 42.7K views · 401 likes · 28 reposts · 30 replies 03 Sep 2026 Inworld's newly released Realtime TTS-2 is the new #1 on the Artificial Analysis Controlled Voice Arena, just ahead of Cartesia Sonic 3.6, and ranks #2 on our Provider Voice Arena behind Sonic 3.6 Realtime TTS-2 is a new Text to Speech model from @inworld_ai that supports over h 10.5K views · 77 likes · 5 reposts · 5 replies 03 Sep 2026 Thanks for the support @AndrewYNg! Completely agree, faster token generation will become increasingly important as a greater proportion of output tokens are consumed by models, such as in multi-step agentic workflows, rather than being read by people. 704K views · 768 likes · 48 reposts · 58 replies 06 Jul 2024 Shoutout to the team that built https://t.co/z0no9modnp . Really neat site that benchmarks the speed of different LLM API providers to help developers pick which models to use. This nicely complements the LMSYS Chatbot Arena, Hugging Face open LLM leaderboards and Stanford's HELM 1.1M views · 2.2K likes · 482 reposts · 79 replies 06 Jul 2024