/ Manifesto · 001 · 2026
The feed and theperson it built.
A short essay on how the algorithm became the marketing, how the marketing remade the people on the other end, and why we built a bot to scroll inside it.
Read time · About six minutes.
[lede]
The opening
Two people sit on the same bench in the same park. They both look down at the same glass rectangle. One sees a woman crying about her boyfriend. The other sees a man bench-pressing his own body weight. Same weather. Same hour. Same city.
Not the same world.
The fundamental interaction of social media has turned everything into a monoculture of the feed — a culture of one, repeated a billion times. Each person now lives inside a private version of the internet, designed by a recommender system that knows them better than their friends do. This is an essay about what that means for the people who try to sell them things.
[i]
A short history
Marketing used to be one thing for everyone. Then it stopped being.
Marketing used to be one thing for everyone.
In the late 2000s and early 2010s — the era of Big Brand — a TV ad reached your father and your sister with the same image. Coke. Nike. Apple. They sold to men and women through the same campaign because there was a culture to sell into. A monoculture. Marketers worked inside it.
Then Amazon and Google flattened the world into features. Between roughly 2010 and 2019 — the era of Search — you didn't need a brand. You needed a keyword. Ship from China, buy a Google Ad, you had a business. A whole generation of products lived and died without ever building a face.
In 2019, TikTok bent the shape of the internet. From 2019 to 2022 — the era of the Big Algorithm — a new monoculture formed inside the feed itself. Brands with broad appeal exploded — Lululemon, ON. Strangers became famous overnight. Hundreds of small brands ate the share of older, larger ones.
Then the algorithm got too good. From 2022 to today — the era of the Tailored Algorithm — the feed splits cleanly down the middle of every audience. Your phone knows whether to show you protein powder or perimenopause. Marketing becomes a thousand small fires lit in a thousand small rooms.
This is where we live now.
- 01
Late 2000s – early 2010s
Big Brand
TV, billboards, celebrity faces. The same Coke ad reached your father and your sister. One culture, sold into.
- 02
≈ 2010 – 2019
Search
Amazon and Google flattened the world into features. You didn't need a brand — you needed a keyword.
- 03
2019 – 2022
Big Algorithm
TikTok arrived. A new monoculture formed inside the feed itself. Strangers became famous overnight.
- 04
2022 – today
Tailored Algorithm
The feed splits. Your phone knows whether to show you protein powder or perimenopause. A thousand small rooms.
[ii]
The work nobody wanted
Every good brief starts with a cultural insight.
You are no longer the customer.
Every good brief starts with a cultural insight. The hard part is that, increasingly, you are not the customer. Their feed is not your feed. You cannot borrow it. You cannot visit. To know what is happening inside it, you have to do the work.
What the work actually looks like: you pay real people to scroll while you watch over their shoulder. You map their creators, their niches, their inside jokes. You learn the language of a tribe you do not belong to. It is slow and uncomfortable and most teams skip it.
That is the work nobody wanted to do. So we built a research-preview bot that scrolls the actual For You Page — as a real ICP would — and turns what the algorithm serves into a brief you can act on.
[iii]
The women's feed
A chorus. Whatever she is feeling, somebody else is feeling it too.
The women's algorithm is a chorus.
Whatever a woman is feeling — about her relationship, her hormones, her skin, her body, her boss, her mother — the feed answers with same. Specific scenarios, told back in a thousand voices. It is a long correction to a longer history: women whose problems were not taken seriously for most of recorded time, finally seeing themselves reflected. That feeling — being seen — is the most powerful drug the internet has ever invented.
It maps onto a four-corner quadrant. Trad on one axis, woke on the other. Sweet on one axis, scandalous on the other. Most women settle somewhere inside the quadrant, and the algorithm carries them deeper into the corner they chose. A smaller, quieter group floats outside it entirely — in the literary, the artistic, the quirky, the BookTok reading nook. Wherever they land, the feed reinforces the landing.
The result is a tribe. People find a worldview close to theirs and the recommender feeds them more of it, in higher resolution, by people they begin to feel they know.
[fig · the quadrant]
Most settle in the four corners. A smaller group — the literary, the quirky, the BookTok quiet — floats outside the frame.
Marketing inside this feed works the oldest way in the book — problem and solution, told by a creator who looks like a friend. Done right, it prints money.
When every opinion you hold is validated by a thousand strangers, you stop questioning any of them.
The feed that makes you feel seen is also the feed that makes sure you never have to be wrong.
[iv]
The men's feed
A leaderboard. He is losing, all day, on a loop.
The men's algorithm is a leaderboard.
A man opens his phone and the feed whispers, all day, the same thing: you are losing. He is rejected one hundred times for every match on a dating app. He scrolls past men running automations he doesn't understand, making ten thousand dollars a month from a laptop on a beach. He scrolls past men richer than him, more disciplined than him, more loved than him, more ripped than him.
This is the “you suck” algorithm, and it runs on a loop in the background of his day.
The market responds by selling him replacements. Creatine gummies. Peptides. A course. A mentorship. A watch. A bag other men will recognize as the expensive one. Travel programs. Gym splits. Supplement stacks. The result, for ninety-nine percent of him, is a slow drain of money in exchange for the feeling that he is closing the gap.
Women buy things to impress other women. Men buy things to impress other men.
He is not selling to a woman. He is signaling to other men. Rimowa, the lifting split, the trip to Tokyo, the mentorship, the golf. And every minute of it leads away from the kind of self-awareness that might one day attract the partner he is trying to impress.
[v]
What's left
The monoculture is gone. Three reasons remain.
The bridge between the two feeds has burned.
Each side has built its own industrial complex. Barstool, self-improvement podcasts, and protein for men. Wellness, lifestyle, and parasocial relationships for women. The longer either spends in their feed, the further they drift from anything that might once have looked like a shared cultural conversation.
The more online you are, the worse this gets.
But underneath all of it, the buying still runs on three very old engines:
- 01
Loneliness
We buy to belong. Tribes, parasocial friends, things our people are already wearing.
- 02
Signaling
We buy to be seen. Status, FOMO, the bag other men will recognize as the expensive one.
- 03
Solving
We buy to fix a problem. The oldest reason. Still the cleanest one.
Ninety percent of sales on the new internet run on one of those three. The brand that wins is the one that knows which one its customer is reaching for — and which feed taught them to reach.
[vi]
Why we built it
The algorithm decided who they are.
We hand you the manual.
Most marketing and product teams are still operating on instincts shaped by a monoculture that ended five years ago. They write briefs from inside their own feeds, then wonder why the brief does not survive contact with their audience.
Overton is a research-preview bot built to read the room you cannot see. Spawn the ICP. The bot scrolls the actual For You Page exactly the way that person would — same platforms, same patterns, same algorithm. Then we translate everything the feed served into actionable marketing and product insights, in the language the ICP has already been quietly conditioned to expect.
Marketing in the era of the tailored algorithm is not creative work. It is fieldwork. You don't write to the customer anymore — you write into their feed.