AI model benchmark comparison
Meta's table chart drew 3.8M views on X: 1.2x its typical post and #1 of 11 Meta charts we track by views. Read Oct 11, 2026.
Muse Spark 1.3 is rolling out today with frontier performance almost too cheap to meter. This is the biggest jump we've made so far on coding and agentic work. Try it in Muse Code and our API.
Why it spread
This post from @finkd spread because it announced a major product release with frontier performance at a very low cost, earning 19,933 likes, 1,615 reposts, 1,222 quotes, 2,943 saves, and 3,782,073 views, which is far above the account's typical 4,852 likes, and it was driven by many quotes and an independent author.
What worked
- The post pairs a concrete product name and rollout date with a bold claim about frontier performance almost too cheap to meter, giving readers a clear reason to share.
- It highlights the biggest jump so far on coding and agentic work, which speaks directly to a technical audience and encourages saves and quotes.
- It teases next steps with watermelon and open weights releases coming soon, creating anticipation that keeps the conversation going.
What to borrow
We could use the same form by leading with a specific release name and date, stating one measurable performance leap in plain language, and ending with a short teaser for what comes next, all while keeping our own numbers and claims honest.
Careful
Do not copy the exact phrasing or over-read the results, since the spread came from an independent author with below average source reach and a top quarter quote rate, and the post had no comment or points data to confirm deeper engagement.
Written by our analysis model from the measured numbers above, not by Meta.
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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 b62ba6df2041.
| Path | Returns | Plan | |
|---|---|---|---|
| GET | /api/v1/charts/b62ba6df2041 | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/b62ba6df2041/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/b62ba6df2041/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 |
curl -s https://viral-chart.com/api/v1/charts/b62ba6df2041/data \
-H "Authorization: Bearer $VIRALCHART_KEY"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
How far did Meta's "AI model benchmark comparison" chart travel?
3,782,073 views, 19,933 likes, 1,615 reposts and 2,943 saves on X, read Oct 11, 2026. A normal post from @finkd gets about 3.2M views.
What kind of chart is it?
A table chart. Model performance comparison across various AI benchmarks.
Can I use Meta's chart?
Use the format, not the picture. The chart, logo and design belong to Meta. ViralChart redraws the chart type with your numbers and words, and credits the original publisher.