BetaGrowth

SXX Social

Give it a growth goal and it studies the account, plans a strategy against real performance data, writes platform-native content, schedules it, measures what happened and proposes the next experiment. Every figure it shows is labelled as measured, hypothesised, or insufficient data — it will not invent a trend, an audience sentiment or a confidence interval to fill a panel.

Open the growth engineYou’ll be asked to create an account, then land straight in the workspace.

WHO IT IS FOR

  • Studios and founders who publish to sell, not to post
  • Teams who want to know which content produced customers
  • Anyone tired of dashboards that report views and call it growth

WHAT YOU CAN BUILD

  • One composer for every platform — write once, adapt the words where the platform needs different ones, see exactly what each will receive
  • Real media uploads: images and video stored, served signed, published to Instagram and TikTok through their own APIs
  • Bulk scheduling from a spreadsheet, each row passing the same quality gate as a hand-written post
  • A brand-aware content strategy from a stated goal, and platform-native drafts rather than one caption copied five times
  • A weekday-by-hour map of when this account actually lands, labelled as observation, not law
  • Controlled experiments with honest measurement, and weekly reports that say what to do next and what to stop

KEY CAPABILITIES

05 ENTRIES
01

The composer shows the post before the platform does

One panel targets every connected platform with live previews assembled by the same code that publishes — character ceilings, hashtag rules, media requirements and all. A platform that needs an image says so before you schedule, not after.

02

Content is decomposed, not just stored

Every post carries a Content Genome — topic, hook type, format, tone, CTA, goal, length. Performance attaches to those attributes rather than to individual posts, which is what turns a hundred published items into a finding you can act on instead of a hundred rows.

03

The statistics come first, the AI explains them

Deterministic analysis with real sample-size gates produces every finding and every number. The model writes the explanation and cannot invent the result — the same rule that makes the Security Assistant trustworthy, applied to growth.

04

It says when it does not know

A young account sees INSUFFICIENT DATA, not a confident chart drawn through four points. A "best time to post" that comes from observational history is labelled HYPOTHESIS and offered as an experiment to run, never as a fact about the audience.

05

Nothing is automated at people

It detects buying intent in comments and drafts a reply for you to approve. There are no unsolicited DMs, no engagement automation and no bought followers — not as policy, but because no code path exists that could.

EXAMPLE OUTPUTS

BRIEF → RESULT
BRIEF

“Increase qualified leads for a studio that builds AI products.”

RESULT

A month of content weighted toward demonstration and proof, an experiment testing three hooks against profile visits, and a weekly report naming the format to stop making.

BRIEF

“My "AI website" posts stopped working.”

RESULT

Decay analysis separating topic fatigue from hook fatigue, with the evidence for which it is, and fresh openings for the concept that still performs.

NOTEThese describe what the generator produces for a brief of that shape. Output varies by run — the specification is planned each time, not retrieved from a template.

Build your first growth workspace.

One account covers every SXX product. Your projects are saved as you work and reopen exactly where you left them.

Open the growth engine