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@ArtificialAnlysX · Apr 8, 2026

Intelligence Evaluations

@ArtificialAnlys's leaderboard drew 20.4K views on X: 1.8x @artificialanlys's median post and #715 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

AI model performance across multiple intelligence benchmarks

Published by @ArtificialAnlys on X, Apr 8, 2026. Source: x.com
34/ 100

ViralChart score

Quiet

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

#840 of 1,162 AI chart posts we hold · #264 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 both below the AI chart median, with a score rank of #840.

Its launch-day rank was #5 of 8 posts from @ArtificialAnlys that day, with 8 posts total.

Its engagement rate of 0.48% sits below the 0.73% median for all AI chart posts, at the 26th percentile.

Its score of 34 ranks #840 of 1,162 AI chart posts, below the median for this account.

8posts from @artificialanlys that day

Part of a run of 8 posts on Apr 8, 2026. This one was #5 of 8 by views that day.

bottom 26%engagement rate

0.48% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

1.8x@artificialanlys's median post

20.4K views, where @artificialanlys's typical post gets 11.4K.

0.5xthe median leaderboard post

Across 107 leaderboard posts we hold, the median gets 45.3K views.

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 #840 of 1,162

Views20.4K#715bottom 39%
Likes93#770bottom 34%
Engagement rate0.48%#858bottom 26%
Save rate0.054%#772bottom 34%

Among 491 @artificialanlys posts

Score #264 of 491

Views20.4K#211top 43%
Likes93#232top 47%
Engagement rate0.48%#388bottom 21%
Save rate0.054%#317bottom 36%

Growth

One read so far

Views20.4K
Age at our read187 days
Views per day of life109views 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 · Apr 8, 2026

@ArtificialAnlys leaderboard post scores #840 of 1,162

A 15-model leaderboard on intelligence benchmarks drew 20.4K views, below the 39.9K median.

What happened

On April 8, 2026, @ArtificialAnlys posted a leaderboard chart on AI model performance across intelligence benchmarks. It was one of 8 posts that day, alongside 7 others including a 513K-view index post.

The numbers

The post got 20.4K views, ranking #715 of 1,162 AI chart posts. Its engagement rate was 0.48%, ranking #858 of 1,162, with a save rate of 0.054%.

The lesson

A 15-model leaderboard with 1 chart drew a save rate of 0.054%, below the 0.73% engagement median. Clean tables may not drive saves when the post is one of 8 that day.

What it means

For @ArtificialAnlys, this post ranks #264 of 491, below its own median engagement of 0.82%. The gap to the 39.9K median views shows the leaderboard format underperformed its peers.

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

Data and API

275 points read off this chart

Estimated from the image 50%
SeriesGroupValueRead
GDPval-AA (Agnetic Real-World Tasks, (ELO-500)/2000)OpenAI100 %estimated
GDPval-AA (Agnetic Real-World Tasks, (ELO-500)/2000)Anthropic100 %estimated
GDPval-AA (Agnetic Real-World Tasks, (ELO-500)/2000)Google100 %estimated
GDPval-AA (Agnetic Real-World Tasks, (ELO-500)/2000)Alibaba100 %estimated
GDPval-AA (Agnetic Real-World Tasks, (ELO-500)/2000)xAI100 %estimated
GDPval-AA (Agnetic Real-World Tasks, (ELO-500)/2000)Meta100 %estimated
GDPval-AA (Agnetic Real-World Tasks, (ELO-500)/2000)DeepSeek100 %estimated
GDPval-AA (Agnetic Real-World Tasks, (ELO-500)/2000)Mistral100 %estimated
GDPval-AA (Agnetic Real-World Tasks, (ELO-500)/2000)NVIDIA100 %estimated
GDPval-AA (Agnetic Real-World Tasks, (ELO-500)/2000)Amazon100 %estimated
GDPval-AA (Agnetic Real-World Tasks, (ELO-500)/2000)Zhipu AI100 %estimated
GDPval-AA (Agnetic Real-World Tasks, (ELO-500)/2000)Moonshot AI100 %estimated

Showing 12 of 275. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/e3eccf066faf.json
GET https://viral-chart.com/api/charts/e3eccf066faf.json
GET https://viral-chart.com/api/charts/e3eccf066faf.skill.md

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 e3eccf066faf.

PathReturnsPlan
GET/api/v1/charts/e3eccf066fafTitle, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/e3eccf066faf/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/e3eccf066faf/render?view=1The draw-only view this page usesOpen
POST/mcpTool get_chart_data with this id, for Claude, Cursor and other agentsMax
curlMax
curl -s https://viral-chart.com/api/v1/charts/e3eccf066faf/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.

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Questions people ask

Where does this chart come from?

@ArtificialAnlys published it on Apr 8, 2026 on X (x.com). We keep it here, with the publisher and date credited as text, so you can study it without leaving.

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Use the format, not the picture. Open its data page and use Make one like this: it starts from this chart's numbers and takes yours.