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What Top AI Labs Are Really Doing With Observability 31 min 
I Investigated India’s Biggest Smartphone Controversy 42 min 
Why do gay people look like that? 5 min 
This TECH Knife is Insane! 2 min 
How Disney Built A Realistic Lightsaber 17 min 
I Escaped the Apple Ecosystem - It Backfired 17 min 
What If You Just Keep Digging? 11 min 
Valve's Steam Frame is okay... but I love other things about it 2 min 
NASA's Plutonium Problem 2 min 
The V-22 Osprey and why it keeps crashing 25 min 
PROOF the Trifold is Awesome! 1 min 
The World's Deepest Hole is Under This Cover 2 min 
I tested phones that shouldn’t EXIST 23 min 
What Made The Bahamas’s “Atlantis” Rocks? 1 min 
Does this new data represent you? 🤡 #stats #happiness #science 2 min 
The F-14s Swing Wing Explained 3 min 
This is A Heart on a Chip 1 min 
World's LARGEST headphones! 1 min 
Samsung S26 Ultra Review - Breaking Point. 17 min 
How porn completely changes your brain 9 min 
Sam Altman Shows Me GPT 5... And What's Next 66 min 
How Car Dealerships Scam America 18 min 
Exploring Japan's Remote Border with Russia (no one comes here) 26 min 
Fixing my VAULT Door 2 min 
Name That Infrastructure (Ep. 1) #shorts 1 min 
India’s internet war 9 min 
How to be less neurotic | The Gray Area 38 min 
The MAGNET Suspension SKATEBOARD 23 min 
What’s Happened?? #secretgarage 2 min 
Guess The Biggest Land Animal in Antarctica 1 min 
The Real Story of these Ancient Scrolls 2 min 
This Underwater Machine Sees Ghost Particles 1 min 
California's Water Problem 20 min 
Name That Infrastructure (Ep. 3) #shorts 1 min 
How the Real Housewives are redefining women over 50 2 min 
Amtrak's Subtle, Surprising Success 20 min 
Members have a think about this DOOR? 7 min 
Why you can’t walk anywhere in the US 2 min 
"he's crazy" - We Found a Man Living Alone in the Amazon (39 years isolated) 43 min 
How Earthquake Bearings Work 19 min 
Sawing a Dam in Half (on Purpose) 21 min 
The New Hunt for the Colossal Squid 19 min 
Why Fast Food Got So Expensive 20 min 
How to date in real life 2 min 
Why Britain Cares So Much About the Falklands 24 min 
Name That Infrastructure (Ep. 2) #shorts 1 min 
Abandoned Disposable Camera Photos Revealed.. 1 min 
Why This Olympic Sport Bothers Physicists 17 min 
How Google broke the internet | The Gray Area 40 min 
How the Channel Tunnel Works 24 min 
The price of proving you’re an adult 1 min In this chat at Startup School Paris, Datadog CEO Olivier Pomel reflects on his startup journey in New York, how staying close to raw customer feedback and support tickets keeps an 8,000 person company honest, and why moving faster on both hiring and firing remains the hardest thing for any founder to actually execute. Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs Chapters: 00:00 — Intro 01:43 — How Datadog Actually Started 04:47 — The DevOps Insight Behind the Company 06:17 — Riding the Cloud Explosion 07:29 — Was It Ever Obvious It Would Work? 09:03 — Building Culture Without Writing It Down 10:28 — Why Olivier Still Reads Support Tickets 14:22 — 20–25 Products: How They Decide What to Build 16:04 — Going Public on COVID Lockdown Day 19:19 — AI: Winner or Loser? 21:40 — The New Bets: Agents & Smarter Observability 24:17 — "In Two Quarters, No Code Anymore" 25:49 — 20 Years With a Co-Founder 27:10 — Start in Europe or Move to the US? 28:39 — Outro
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