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I remember my first $500/week outside of my 9-5 and my first 2k/day.
They felt so monumental and freeing.
Today the weekly pay is a little higher but the goal is the same ➡️ Freedom.
a new client whitelabelling @TryCookAI said "The New Info Is Implementation"
iykyk
The cost of delivering DFY is dropping by 10x every year because of ai agents.
The ability to command high prices for DFY is staying strong.
80%+ of all of our clients buy the more expensive package even if there is something 70% more cheaper that is more DWY/DIY.
Crazy times to print Millions if you understand the leverage coming from ai.
Launch A CLIPPING AGENCY NOW!
Info so cooked because of AI that anyone making Millions/month is no longer sharing their offer, market & funnels🤣
Iykyk.
We’re experiencing an industry evolving in front of our eyes & the game forcing operators to cook from 1st principles.
Find a market with pain & where demand is higher than supply…print 8 figures without telling anyone!
The “I make a $1m/month teaching from teaching you how to make $1M/month” is not a real business & doesn’t last unless you’re running an actual business doing the dirty work and collecting data/insights.
Imagine Jensen teaching other chip manufactures how to create a $5 trillion company…🤣
It would be the dumbest business model ever as it’s the fastest path to making Nvidia a commoditized business.
Building service companies is back in style👨🏾🍳
Info is a great industry to get rich quick, and the worst to get rich FOR SURE.
It’s one thing to raise $, it’s another to get it Doug Leone! Iykyk.
Maybe whop might actually be cooking🔥congrats to everyone at @whop
Another reminder why building an ai app is dumb in a world where the best product is burning $80B in 6 months to subsidize intelligence…
I don’t even want to know what OpenAI loss looks like!
serge gatari retweeted
This tracks. I watch something on YouTube every day. Netflix is a dormant subscription for me.
YouTube has very low costs of content creation. Netflix has $14B of debt that has financed their content library.
Another lesson in the halls of mismatching assets and liabilities? Time will tell.
Roadster…Porsche Mission S
I was starting to give up on desiring new cars
Now I have to print a few more Ms
serge gatari retweeted
TLDR; we will probably never get another ARR number from Anthropic, which is healthy. Should force the market to move away from extreme focus on Anthropic/OpenAI ARR numbers to hyperscale growth rates, which are a much better metric for AI at this point given they capture Muse, Grok, Gemini and Open-Source.
Anthropic FCF positive in Q3 and reaccelerating in October on Opus 5.5 per third party data. Roadshow in several weeks will happen after this has been widely confirmed. Unit economics much better than expected given positive FCF with 75% of their compute going to training. All per public reporting.
OpenAI continuing to grow at the same pace per Sarah Friar interview after they took share vs. Anthropic in Q3. Means the sum of Anthropic/OpenAI growth is accelerating from the Q3 pace. OpenAI probably hits FCF positive in the next few months.
Open-source growing much faster than either Anthropic or OpenAI. Modal tripled since May and is 15x YoY per yesterday’s announcement. Open-source tokens generate more revenue and profit for the hyperscalers/neoclouds than frontier tokens. *Every* open source inference cloud I am aware of is growing faster both sequentially and YoY than either Anthropic or OpenAI. And their combined compute spend is becoming material.
Third party data pointing to hyperscalers continuing to accelerate in Q3. All report in the next two weeks. Acceleration should continue in Q4 and Q1 as installed base of compute slowly reprices higher closer to spot and new capacity comes online at higher prices. Continued acceleration in hyperscalers should help address external funding concerns.
10 year yield down in a straight line over the last 24 hours.
Some risk of escalation in Iran next few days, but earnings and mid-terms probably outweigh taking an ultra long-term view and looking out 30 days.
Biggest risk imo remains cyber and OpenAI/Anthropic dominating the model layer. Fragmentation, competition and lower margins at the model layer are good for everyone else in the ecosystem and for America.
Slower for longer is much better than an overbuild and an actual bubble.















