Social Media Analytics
Every platform gives you a chart of impressions and a leaderboard of your top posts. Both are true and neither is useful. You already know the post did well; what you need is why, and whether the reason generalises. Was it the format? The topic? The fact that it disagreed with someone? The dashboard cannot tell you, so the team ends up running on folklore — we do carousels because a carousel worked once in February.
Skynet reads across all your accounts at once and looks for the actual regularity. It has the history in memory, so it can compare this month against last quarter, and it can hold a hypothesis rather than just a ranking. The answer comes back as a claim you can test, not a bar chart.
How it works
Connect every account
Link the platforms you actually post on. The interesting patterns often show up across channels, and a per-platform dashboard structurally cannot see them.
Ask why, not what
The ranking is the starting point, not the answer. Ask what the top posts have in common that the bottom ones do not — the agent will look at format, topic, length, hook, and timing together.
Turn the pattern into a test
A pattern is a hypothesis. Have the agent propose the next few posts that would test it, so the insight turns into something you can actually check rather than a slide.
Report on a schedule
Set it to look every month and report what changed in the pattern. Audiences drift; the thing that worked in spring stops working, and you want to hear that from data rather than from a slow decline.
Build it from a prompt
Ask for the pattern, not the leaderboard.
You get to make content decisions from evidence instead of from the loudest anecdote. And when the agent tells you the pattern is weak, that is worth just as much — it stops you building a quarter of strategy on a coincidence.