I did not want to sell a method I had not proven, so I ran one.
I started a brand-new account from zero and gave myself one week. No ad spend, no existing audience, no paid boosting. Everything below is the raw platform backend, not a designed report.
The result after seven days
42,600,000 views
28,000,000 accounts reached
2,250,000 shares
12,904 new followers, a 3,433.9% increase week on week
99.8% of interactions came from people who did not follow the account
That last number is the one that matters. It means the reach was algorithmic, not an existing audience being shown the same thing again.
Views, last 7 days
What drove it
One reel did 41.3M of it. 27.8M accounts reached, 41,329 profile visits, 12,904 follows from that single piece.
Reel insights
The engagement split was 718K likes, 2.2M shares and 107K saves. Shares outrunning likes by roughly 3x is the signature of a piece being redistributed rather than merely watched, and it is what I design the openings around.
Engagement breakdown
Follower growth
Follower growth
Peak day added 8,238 followers.
Not only one platform
The same approach applied elsewhere in the same period produced a Reddit post that became the #1 post of all time in its community at 4.8M views, 13.8K upvotes and a 92% ratio, and a single YouTube Short at 21,073,390 views with 114.3% audience retention.
What this is and is not
This was a test account I ran to validate a method, not client work, and I am labelling it that way deliberately. What it demonstrates is the hook architecture and distribution approach, applied from a standing start with no advantages.
It does not mean any given company will get 42 million views. It means the method has been run end to end, and the numbers are readable rather than described.
Screenshots are watermarked. The originals live at agiux.com.