2.5M

We Read 2.5 Million Reviews
So You Don't Have To

Here's what we learned.

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The Problem Is Bigger
Than Fake Reviews

Everyone knows online reviews are broken. What's less obvious is why traditional review sites can't fix it. They're stuck testing one product at a time:

  • A reviewer tests one product for a few weeks
  • Editorial teams cover maybe 100 products a year
  • User reviews get gamed within months
  • Nobody tracks what happens after the "honeymoon phase"

The result: You spend hours researching, but still buy blind.

67% of reviews are suspect
When 847 people mention 'stops working after 13 months,' we catch it.

How We Find What Others Miss

The Best of Both Worlds: AI Scale + Human Judgment

smart_toy

AI does the heavy lifting

Processing millions of data points to find patterns

  • When 847 people mention "stops working after 13 months," we catch it
  • When reviews suddenly spike with identical phrases, we flag it
  • When buyers consistently need $200 in "essential" accessories, we document it
2.5M+ reviews analyzed monthly
favorite

Our editors apply the "best friend test"

  • Every recommendation passes through real humans
  • We ask: Would I recommend this to my best friend?
  • If we wouldn't spend our own money on it, we won't recommend it
  • We add context AI might miss ("great for apartments, terrible for houses")
100% human verified

The result? This combination—AI finding patterns, humans making judgment calls—is what makes our recommendations actually useful.

Different Products for Different People

We don't pretend there's one "best" anything. That's why we created labels that match products to priorities

savings

BUDGET CHAMPION

When cheap is actually good

The $45 vacuum that cleans as well as the $300 one (if you have a small apartment)
star

SWEET SPOT

The goldilocks choice

Not the cheapest, not the fanciest, just... right. The one we'd buy ourselves.
diamond

HIDDEN GEM

What people who know buy

The pressure cooker professional chefs use—40% less than the trendy one
schedule

WAIT FOR SALE

Good product, bad timing

Drops to half price every Black Friday. Set a reminder.

How We Keep the Lights On

We make money through commissions (typically 2-8%) when you buy through our links. We also run ads—but keep them minimal because we actually use our own site.

The commissions don't change what we recommend—we get paid roughly the same whether you buy the $50 option or the $500 one. Sometimes we recommend buying nothing at all.

Our goal is simple: help you buy the right thing the first time. Happy customers come back, tell friends, and everyone wins.

See What We Mean

Browse our growing library of product insights, backed by millions of real ownership experiences.

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