For platforms, funds & brands

We turn Main Street into a number — before Wall Street.

Consumer demand moves first. Stock prices follow. Here is the machine, in four steps.

What we do
01 · Take in the data

Millions of signals a day.

Searches, purchases, app installs, social posts, web traffic — from thousands of brands, pulled in every day.

Google searches
Reddit & X posts
App Store installs
Purchase intent
Web & traffic data
The engine
Swan AI
02 · Score Main Street

One read of real demand.

Swan AI turns the noise into a single 0–100 score for what consumers are actually doing.

Main Street score · HOOD
97/100
03 · Compare to Wall Street

The gap is the signal.

Set consumer demand against what analysts expect. Every win started in this gap.

Main Streetconsumer demand97
Wall Streetanalyst attention42

Illustrative.

04 · Quantify the opportunity

That gap is the opportunity.

A 55-point gap between demand and attention — the move before the Street reprices it.

55
point gap
HOODBUY SIGNAL
Robinhood Markets
Main Street
97
Wall Street
42
Current clients include
SchwabE*TradeMarketWiseTradeSmithVoya
The data

527 companies. Thousands of brands. One signal.

Consumer trend data. Government and non-profit spending and traffic data. Social media mentions. Web and search traffic. App downloads and usage. And more — rolled into one point-in-time signal, updated weekly. Full data back to Jan 2021.

Coverage527 public companies
Brands trackedThousands
HistoryFull data back to Jan 2021
Consumers in the dataset500M
Update cadenceWeekly
Two ways in

Built for two kinds of buyer.

For platforms

Data integration, content distribution, screeners and alerts, scores shown to your users, or a white-label feed.

See the platform offering
For funds

Point-in-time consumer-demand data on 527 companies, delivered by REST API, file delivery, or Snowflake share.

See the fund offering
The combo

Content. Integration. Airtime.

Content distribution, daily appearances on Schwab Network, and data integration.

The content
LikeFolio content

Trend Watch, June 2026

The integration
LikeFolio data inside a platform

Inside TradeSmith

On air
A LikeFolio network appearance

Schwab Network, Jan 2026

Proof

Peer-reviewed. Publicly tracked.

Peer-reviewed
Third, the finding that product information on Twitter captures an unexpected component of sales growth relative to that provided by professionals in the capital markets, such as analysts, is economically important because it works to the advantage of individual investors.

Wisdom of Crowds: Cross-Sectional Variation in the Informativeness of Third-Party-Generated Product Information on TwitterJournal of Accounting Research 56(3), 989–1034, 2018

Read the study
Recognized

Fast Company — Most Innovative Companies

Seen on
CNBCFox BusinessBenzingaCheddar TVTastyTradeSchwab Network
Andy Swan, co-founder of LikeFolio
Landon Swan, co-founder of LikeFolio
Co-founders, LikeFolio

Andy & Landon Swan.

15years tracking what 500 million consumers actually do — before earnings, before analysts, before the price moves. Our data is licensed to top US brokerages and several of the world's largest hedge funds. We've appeared on Schwab Network, CNBC, Bloomberg, Fox Business, and Fast Company.

15+ years·527 stocks tracked·100K+ investors

Building or protecting a brand? We track brand and rival demand, and build custom reports. For brands

Not a fund or a platform?

You want LikeFolio PRO.

Get the data

Request a data sample.

Full point-in-time history for a diverse 5-company set. We reply within 1 business day.

Goes straight to Andy + Landon. We reply within 1 business day.