Models
Anthropic
Score by Benchmark on component benchmarks

@ArtificialAnlysX · Jun 12, 2026

Score by Benchmark on component benchmarks

@ArtificialAnlys's grouped bar chart drew 23K views on X: 2.0x @artificialanlys's median post and #691 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Average pass@1 on each component benchmark

XData Grouped bar chart Claude Code All Anthropic models GLM-5.1 DeepSeek V4Fable 5GPT-5.5Opus 4.8Opus 4.7Cursor CLI

@ArtificialAnlys: Score by Benchmark on component benchmarks — Published by @ArtificialAnlys on X, Jun 12, 2026. Source: x.com

44/ 100

ViralChart score

Quiet

Fewer views and a lower engagement rate than the median post.

#708 of 1,162 AI chart posts we hold · #206 of 491 @artificialanlys posts. Score = views 40%, likes 30%, engagement rate 15%, save rate 15%, each as a percentile of every AI chart post we hold.

Our read

Quiet quadrant: views and engagement rate both below the AI chart median, score rank #708 of 1,162.

This multi-chart post shares its numbers across 4 charts, a level factor that does not lift reach.

On launch day, this post ranked #2 of 2 by views among the account's posts that day, below the other post.

Views of 23K are above the company median of 11.4K, a 2x ratio, but still below the all-AI median of 39.9K.

4charts in this one post

The numbers belong to the post, so every chart in it shares them and it is ranked once.

0.3xthe median grouped bar chart post

Across 108 grouped bar chart posts we hold, the median gets 87.5K views.

2posts from @artificialanlys that day

Part of a run of 2 posts on Jun 12, 2026. This one was #2 of 2 by views that day.

2.0x@artificialanlys's median post

23K views, where @artificialanlys's typical post gets 11.4K.

Public X numbers from our read on Oct 12, 2026. Peers: 1,162 AI chart posts we hold and 491 from @artificialanlys.

Where it sits

Reach against resonance

Each dot is a post. Right is more views, up is a higher engagement rate. The lines are the medians, so the four corners are the four kinds of post.

Among 1,162 AI chart posts we hold

Score #708 of 1,162

Views	23K	#691	bottom 41%
Likes	151	#704	bottom 39%
Engagement rate	0.73%	#584	bottom 50%
Save rate	0.087%	#518	top 45%

Among 491 @artificialanlys posts

Score #206 of 491

Views	23K	#198	top 40%
Likes	151	#205	top 42%
Engagement rate	0.73%	#283	bottom 42%
Save rate	0.087%	#224	top 46%

Growth

One read so far

Views23K

Age at our read123 days

Views per day of life187views divided by days since it was posted

Dots are our reads. The dotted line from the day it was posted to our first read is a gap, not data.

@artificialanlys's posts over time

Every post from this account we hold, by date and views. This one is marked; the line is the running median of the last 10.

News · Jun 12, 2026

@ArtificialAnlys posts benchmark chart with 23K views

A grouped bar chart on component benchmark scores, posted June 12, 2026, drew 23K views.

What happened

The post shows a grouped bar chart of average pass@1 on component benchmarks, with 4 charts total. It was posted June 12, 2026, alongside 1 other post that day.

The numbers

Views 23K, likes 151, engagement rate 0.73%, save rate 0.087%, views per day 187. Score 44, rank #708 of 1,162 AI chart posts, #206 of 491 account posts.

The lesson

Readers saved this grouped bar chart at 0.087% save rate, below the 0.73% engagement rate: a low-save chart does not hold attention.

What it means

At #206 of 491 account posts, this post's views rank below the account's median, yet above its company median of 11.4K, showing a mid-tier performance.

Written by ViralChart from public numbers read on Oct 12, 2026. Every number is checked against our data before it is shown.

Updates: what @artificialanlys posted next

Data and API

66 points read off this chart

Estimated from the image 58%

Series	Group	Value	Read
DeepSWE	Fable 5 (max)	56	estimated
Terminal-Bench v2	Fable 5 (max)	62	estimated
SWE-Atlas-QnA	Fable 5 (max)	63	estimated
DeepSWE	Codex (xhigh)	64	printed
Terminal-Bench v2	Codex (xhigh)	64	printed
SWE-Atlas-QnA	Codex (xhigh)	61	printed
DeepSWE	GPT-5.5 (max)	56	estimated
Terminal-Bench v2	GPT-5.5 (max)	79	estimated
SWE-Atlas-QnA	GPT-5.5 (max)	62	estimated
DeepSWE	Claude Opus 4.8 (medium)	67	estimated
Terminal-Bench v2	Claude Opus 4.8 (medium)	76	estimated
SWE-Atlas-QnA	Claude Opus 4.8 (medium)	79	estimated

Showing 12 of 66. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/8b0cc853e770.json
GET https://viral-chart.com/api/charts/8b0cc853e770.json
GET https://viral-chart.com/api/charts/8b0cc853e770.skill.md

Make one like this Open the post JSON Chart data JSON Skill file API docs

Static files in this prototype. The post JSON holds the public numbers, ranks, score, quadrant, our reads and, when checked, our copy.

API · Max

Use this chart via API

On the Max plan you can pull this chart's numbers with the provenance of each one, as JSON or CSV, with its redraw spec, or call it from an agent over MCP. Chart id 8b0cc853e770.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/8b0cc853e770`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/8b0cc853e770/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/8b0cc853e770/render?view=1`	The draw-only view this page uses	Open
POST	`/mcp`	Tool get_chart_data with this id, for Claude, Cursor and other agents	Max

curlMax

curl -s https://viral-chart.com/api/v1/charts/8b0cc853e770/data \
  -H "Authorization: Bearer $VIRALCHART_KEY"

Claude CodeMax

claude mcp add --transport http viralchart https://viral-chart.com/mcp \
  --header "Authorization: Bearer $VIRALCHART_KEY"

60 requests a minute per key; over that you get 429 with Retry-After. Up to 5 keys per account, made on your account page and shown once. Without Max, the data route answers 402 with a link to the plans. The numbers describe a chart its publisher owns, and every file carries a license note.