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.

61named items

63evidence 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

service

Amazon

1 use · 1 like

2 people

2 evidence rows

service

Google

1 use · 1 like

2 people

2 evidence rows

service

Waymo

1 use · 1 like

2 people

2 evidence rows

service

3Blue1Brown

1 recommend

1 person

1 evidence row

service

Acquired

1 like

1 person

1 evidence row

service

AI Breakdown

1 like

1 person

1 evidence row

service

Anthropic

1 use

1 person

1 evidence row

service

Apple

1 use

1 person

1 evidence row

service

AWS

1 like

1 person

1 evidence row

service

Ben Thompson

1 recommend

1 person

1 evidence row

service

Blizzard

1 like

1 person

1 evidence row

service

Boston Consulting Group

1 use

1 person

1 evidence row

service

Coast to Coast AM

1 use

1 person

1 evidence row

service

Codex

1 like

1 person

1 evidence row

service

CompuServe

1 use

1 person

1 evidence row

service

Deworm the World

1 recommend

1 person

1 evidence row

service

Disney

1 use

1 person

1 evidence row

service

ElevenLabs

1 like

1 person

1 evidence row

service

First Round

1 like

1 person

1 evidence row

service

France

1 like

1 person

1 evidence row

service

Goodwill

1 like

1 person

1 evidence row

service

Google Cloud

1 use

1 person

1 evidence row

service

Granola

1 like

1 person

1 evidence row

service

HBO

1 use

1 person

1 evidence row

service

Hulu

1 use

1 person

1 evidence row

service

In the Name of the People

1 use

1 person

1 evidence row

service

IPL

1 like

1 person

1 evidence row

service

Italy

1 like

1 person

1 evidence row

service

Kamado Sushi

1 recommend

1 person

1 evidence row

service

Kubernetes

1 avoid

1 person

1 evidence row

service

Latent space

1 like

1 person

1 evidence row

service

Lovable

1 use

1 person

1 evidence row

service

Malaria Consortium

1 recommend

1 person

1 evidence row

service

Mari Vanna

1 like

1 person

1 evidence row

service

McKinsey

1 use

1 person

1 evidence row

service

Modal

1 like

1 person

1 evidence row

service

Netflix

1 like

1 person

1 evidence row

service

NVIDIA GTC Conference

1 use

1 person

1 evidence row

service

OpenAI

1 like

1 person

1 evidence row

service

Orb

1 like

1 person

1 evidence row

service

Paramount Plus

1 like

1 person

1 evidence row

service

Peloton strength

1 use

1 person

1 evidence row

service

Pi

1 built

1 person

1 evidence row

service

Ramp

1 use

1 person

1 evidence row

service

re:Invent

1 use

1 person

1 evidence row

service

Replicate

1 use

1 person

1 evidence row

service

Salvation Army

1 like

1 person

1 evidence row

service

Semafor

1 like

1 person

1 evidence row

service

Sizzler

1 use

1 person

1 evidence row

service

Slow Horses

1 like

1 person

1 evidence row

service

Sony

1 like

1 person

1 evidence row

service

Stratechery

1 use

1 person

1 evidence row

service

Substack

1 recommend

1 person

1 evidence row

service

Vanguard

1 like

1 person

1 evidence row

service

Vercel

1 use

1 person

1 evidence row

service

YouTube

1 like

1 person

1 evidence row

service

Hacker News

1 unverified-speaker row

0 people

1 evidence row

service

Stripe

1 unverified-speaker row

0 people

1 evidence row

service

Temporal

1 unverified-speaker row

0 people

1 evidence row