Evidence index / named items

Books, apps, and tools people actually name.

Compare how many distinct people recommended, used, liked, owned, built, or avoided the same item—then inspect every transcript excerpt behind the count.

966named items

60evidence rows on this page

Explicitquote verified; attribution disclosed

Kind All Books Apps Tools Services Hardware People Courses Papers Other

Action All Recommends Uses Likes Owns Built Avoids

other

Inside True Crime

1 recommend

1 person

1 evidence row

app

Inside True Crime

1 recommend

1 person

1 evidence row

book

Insomniac City

1 recommend

1 person

1 evidence row

app

Instacart

1 like

1 person

1 evidence row

other

Instagram

1 use

1 person

1 evidence row

book

Intelligent Investor

1 use

1 person

1 evidence row

other

Invest Like the Best

1 use

1 person

1 evidence row

service

IPL

1 like

1 person

1 evidence row

other

Italian futurist

1 like

1 person

1 evidence row

service

Italy

1 like

1 person

1 evidence row

tool

iTerm

1 use

1 person

1 evidence row

app

iTunes

1 like

1 person

1 evidence row

other

Ivanka Trump

1 built

1 person

1 evidence row

person

James Burnham

1 like

1 person

1 evidence row

person

James Levine

1 like

1 person

1 evidence row

person

Jay Z

1 like

1 person

1 evidence row

other

Jeff Bezos

1 like

1 person

1 evidence row

person

Jeff Hinton

1 like

1 person

1 evidence row

person

Joe Rogan

1 like

1 person

1 evidence row

person

Joel Sartore

1 like

1 person

1 evidence row

other

John le Carré

1 like

1 person

1 evidence row

app

John Mayer Neural DSP plugin

1 use

1 person

1 evidence row

person

Joseph Cornell

1 like

1 person

1 evidence row

book

Joy of Living

1 recommend

1 person

1 evidence row

other

Judaism

1 like

1 person

1 evidence row

book

Jump-Starting America

1 like

1 person

1 evidence row

hardware

JURA one touch espresso machine

1 own

1 person

1 evidence row

book

Just Kids

1 recommend

1 person

1 evidence row

book

Kafka on the Shore

1 recommend

1 person

1 evidence row

person

Kama

1 built

1 person

1 evidence row

service

Kamado Sushi

1 recommend

1 person

1 evidence row

person

Kashiwazaki Sensei

1 like

1 person

1 evidence row

person

Kenneth Craig

1 like

1 person

1 evidence row

person

Kevin Roose

1 recommend

1 person

1 evidence row

other

Kikuyu or Luo music

1 like

1 person

1 evidence row

tool

Kimi k three

1 use

1 person

1 evidence row

app

Kindle

1 own

1 person

1 evidence row

book

Kindred

1 recommend

1 person

1 evidence row

app

Knowledge Project

1 use

1 person

1 evidence row

person

Koga

1 like

1 person

1 evidence row

other

Korean sunscreens

1 recommend

1 person

1 evidence row

service

Kubernetes

1 avoid

1 person

1 evidence row

book

Last Man Standing

1 use

1 person

1 evidence row

service

Latent space

1 like

1 person

1 evidence row

book

Leaders Eat Last

1 recommend

1 person

1 evidence row

book

Leadership in Turbulent Times

1 recommend

1 person

1 evidence row

book

Leading Intelligent Teams

1 recommend

1 person

1 evidence row

person

Lenny

1 like

1 person

1 evidence row

book

Leonardo

1 like

1 person

1 evidence row

book

Leonardo da Vinci

1 recommend

1 person

1 evidence row

book

Lessons From History

1 recommend

1 person

1 evidence row

app

Letter Meme

1 built

1 person

1 evidence row

book

Liberating Structures

1 recommend

1 person

1 evidence row

tool

Linear

1 use

1 person

1 evidence row

app

1 like

1 person

1 evidence row

other

Lisp

1 like

1 person

1 evidence row

book

Listen

1 use

1 person

1 evidence row

book

Little Women

1 use

1 person

1 evidence row

other

Liverpool

1 like

1 person

1 evidence row

tool

LLMs

1 use

1 person

1 evidence row