Data Reality Checks

Market research meets data storytelling. Tracking brands, testing hypotheses, and finding patterns others miss—using AI.

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Sharks vs Trees
Sharks came first
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Nike & Target
5-Year Stock Challenges
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Spotify
Only streamer growing
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ChatGPT wiki views
Most looked-up brand
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🤓 For the Brand Nerds

Market signals, brand momentum, and the patterns marketing people actually care about.

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#1

Brand Check-In

Google's our #1 top brand. But who's climbing?

What happens when you use AI to combine search trends, stock data, and cultural signals into one momentum score?

39 brands • 8 categories • Updated monthly
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Search Trends

Which AI is winning in search?

Check out these Google search trend stories brought to life with AI.

3 categories • 5-year lookback • Quarterly refresh
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Pop Culture Pairings

What can brands learn from Beyoncé x Levi's?

Which brands are ripe for a celeb partnership? See the AI-powered matchmaking results.

100+ celebs • 40+ brands • Fresh picks
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📺#1 trust

What's Moving

How do consumers really feel about TV ads?

We analyzed public data to synthesize trends in culture, business, and marketing.

7 signals • Public data • Updated as things move

🎉 Here for the Fun

Charts you'll screenshot and send to friends.

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Mind-Blowing Facts

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Did you know sharks are older than trees?

Fun data visualizations that make you go "wait, what?" — shareable charts for your inner data nerd.

10+ charts • Evergreen • Screenshot-worthy
See the charts
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Normal Human Stats

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Did you know French fries are America's #1 comfort food?

Modern life, measured. What people actually do with their time, money, and dinner.

10 charts • Real data • No judgment
See the charts
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Money Matters

29
1981
38
2024

Did you know the first-time homebuyer age has shifted from 29 to 38 (1981 to 2024)?

Economic forces that shape your life, visualized. Not advice — just reality checks.

10 charts • Public data • Informational only
See the charts

🔬 The Personal Experiment

What happens when you point AI at 1.67 million rows of your own life.

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● Live

Personal Data Experiments

What happens when you point AI at your own life?

1.67 million rows of my own life — Netflix ratings, spending, location data, and more. Analyzed with AI to find patterns I couldn't see myself.

1.67M+ rows • 61 datasets • 11 years

🤖 Working with Data + AI

Lessons from analyzing millions of rows. Tap each card to see what NOT to do.

Start with a question

DO ✓

Ask: 'What patterns exist in my spending over time?' Focused questions get useful answers.

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CSV beats everything

DO ✓

Clean CSVs with headers are AI's best friend. Simple structure = better output.

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Ask for methodology

DO ✓

Always ask: 'How did you calculate that?' Verify the approach before trusting results.

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Validate surprises

DO ✓

Unexpected finding? Ask AI to double-check or run the question a different way.

tap to flip

Iterate, don't expect magic

DO ✓

Say 'Break it down by month' or 'Now compare to X.' Build toward insight.

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Know when AI is guessing

DO ✓

Push for confidence levels. Ask 'How certain are you?' to surface uncertainty.

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Why I'm Building This

15 years in market research taught me that the best insights come from connecting signals others ignore. These projects blend public data with editorial perspective—not to replace expensive tools, but to show what's possible when you ask better questions.

More about me →

A note from Jamie: These visualizations are for educational and entertainment purposes. Data is sourced from public sources and cited where possible. Not financial, investment, or professional advice. Figures are directional—methodologies vary by study.