Give Scaler a growth goal. It finds the plays, runs them, measures what happened and compounds what works.
You set the goal and the limits once. Scaler decides what to try next and does it, without waiting for a prompt. Short-form runs end to end today.
Scaler decides what should happen next.
Then it does it, inside the limits you set, and shows you what it caused.
Autonomy only works if it's controlled. You tell Scaler the outcome you want and the lines it can't cross. Everything it does after that happens inside those lines.
The goal is a business result, measured in signups from tracked links. Not posts made or videos rendered.
Generation budget, posting frequency and paid spend are checked before an action runs, not after.
You choose which actions Scaler takes on its own and which wait for your yes.
When a play hits a cap, Scaler waits for the next window instead of going over.
Scaler operates inside those boundaries.
Example goal and limits. You set your own.
Scaler's unit of work is a play, not a workflow.
"When X happens, do Y."
"I found a growth hypothesis worth testing. Here's the evidence, what I'm going to run, my limits, what happened and what I decided next."
"I found founder-led teardowns pulling 4.8× the category median, across 11 accounts in your niche."
"I started a play: teardowns will beat polished demos for seed-stage founders."
"I published 3 variants across TikTok, Reels and Shorts, each with its own tracked link."
"This produced 17 attributed signups. The number-hook variant drove 11 of them."
"I scaled the number hook. 6 more are in production."
"I stopped the trend remix. 41K views, zero signups."
"Next I'm testing founder face against screen-only. Number hooks beating questions goes into memory."
Representative play, shown to explain the loop.
This is the play Scaler executes end to end right now, from the outlier it spotted to the signup it can prove.
Outlier tiles are representative. The three Shorts are real, generated and published by the system.
Scaler doesn't just make the video. It owns the loop around it.
Every play below has the same shape: evidence, execution, limits, result, decision. Only short-form runs end to end today. The rest are labelled for what they are.
Short-form is one growth play. Scaler is the agent behind all of them.
Every post carries its own tracked link. Only signups that arrive through one are counted. Everything else stays in your column, not Scaler's.
Representative numbers, shown to explain the receipt.
A general AI starts from general knowledge. Scaler starts each new play from what your last plays proved.
Representative memory, shown to explain the model.
Everything else waits for you to move first.
Give it a growth goal and the limits. It finds the plays, runs them, measures what happened and compounds what works.
Start Scaler