Konstantin Gizdarski retweeted
6am flight out of SFO
- Leave 1h before flight leaves
- 15 min Uber to airport, views of the Bay
- TSA agent smiles asks if you like the Grateful Dead
- Ads for AI agents that cure cancer
- Multiple food options spanning global cuisines
- 2 min walk to gate
- Get upgraded to first class
- Depart 5 min early
6am flight out of JFK
- Leave house 3h before flight leaves
- 75 minute Uber to airport, bumper to bumper traffic
- TSA agent hates you
- Ads for zyns
- No food options besides Dunkin Donuts and hardboiled eggs
- 17 min walk to gate
- Get downgraded to seat next to bathroom
- Depart 2 hours late
Konstantin Gizdarski retweeted
A huge milestone: North American riders can use the Lyft app in cities across Europe. Starts today in Barcelona 🇪🇸 and Hamburg 🇩🇪; rolls out from Dublin to Athens to Warsaw over October.
That's right: No more downloading a new app or using one you don't want to 😀
Enjoy your ✈️ travels!
Konstantin Gizdarski retweeted
just use instinct bro. I just told it to ask my friend when he’s free to hang instead of just texting him myself. I typed 13 messages in muse to order a charger on amazon instead of 2 taps in the app. bro it’s the future. grok bot just booked a flight for my wife’s boyfriend
Not complaining or anything but this year I didn’t feel like I could unplug and stop following Slack & emails from work during my vacation.
Konstantin Gizdarski retweeted
The new moats are the same as the old moats
Every few years, we fall in love with shiny new tech and forget the basic physics of consumer software.
We’re doing it again with AI.
The new moats aren't new at all. They're the exact same as the old moats: network effects, marketplaces, and platforms.
Right now, consumer AI is booming.
New agents like Instinct, Bot, and Tomo are dropping mind-blowing experiences. The underlying tech is incredible, but almost every product being built today shares the exact same challenge:
They are completely single-player.
Single-player products are 100% tied to value - and in this case mostly agent : model performance.
If a competitor drops an agent tomorrow that books travel faster, tracks habits better, or handles life admin more reliably, everyone can switch overnight because leaving is easy and has nearly zero friction. Especially when it is so easy to onboard with just a new message.
The legendary consumer tech giants didn't win because their underlying technology stayed marginally better forever.
They won because of structural lock-in:
Social Networks: You don't abandon WhatsApp for a prettier UI if your friends aren't there.
Marketplaces: Airbnb, Doordash, and Uber hold supply and demand in a tight loop.
Platforms: Apple and Android deliver you a complete device so you take advantage of the software on top of it (though this creates opportunities too)
Novelty gets you initial distribution.
Multi-user dynamics give you long-term retention.
If your consumer AI product doesn't become exponentially more valuable to User A when User B joins, you don't have a moat, just a temporarily superior feature set.
We are seeing this in the coding agents as people jump from tool to tool based on the best performance.
But… all is not lost. There are huge opportunities here. Agents will get better when more of our friends are on them and can help us coordinate and communicate to do more together. Agents that help us improve and strengthen our habits can get better as we add friends and hold each other accountable.
Data flywheels are great, but social and marketplace flywheels are what actually build enduring tech giants.
It’s time to stop building isolated AI tools and start building the platforms where people connect, transact, and coordinate together.
“UBS estimates that about 7 million adults worldwide are worth between $5 million and $100 million, with more than 4 million of them being American.”
Amazing that well over 50% of this category of people are living in USA.
JUST IN: 1 in 9 Americans are now millionaires, underscoring how dramatically asset ownership has compounded wealth.
Readers added context they thought people might want to know
UBS data shows ~23.6 million US adults with $1M+ net worth including home equity (~8.8% or 1 in 11-12 adults), not 1 in 9. Capgemini counts ~8.7 million using investable assets excluding primary residences.
investopedia.com/new-report-rev…
businesstats.com/millionaires-i…
cbsnews.com/news/us-millio…
Konstantin Gizdarski retweeted
Chinese humanoid robot by smartphone maker Honor (“Lightning”) ran 100m in 9.32 seconds (Usain Bolt’s record is 9.58 seconds).
Perhaps more impressively: it crashed into a safety wall without having its waist implode with sparks flying off.
Konstantin Gizdarski retweeted
people love to bash on tech bros for saving 70% of their income but honestly what are they supposed to spend their money on in Sunnyvale, CA



























