DeepMind CEO Demis Hassabis:
"One person who really understands AI will outperform an entire startup team
In 5 years, the people who build with AI will run whole companies with a tenth of the headcount"
$10M ARR is the FU MONEY of SaaS.
At $10M ARR bootstrapped, you and your co-founder clear $1M+/year in salary and dividends easily.
You can sell instantly for $30-40M. There are hundreds of EBITDA buyers at this level vs. a handful at $1B valuations.
From here, you can do whatever you want.
Hire a CEO and work 1 hour/week. Grind 100 hours if that's your thing. Raise $50M from a position of strength. Scale to $25M ARR with 25 people and pay yourself $10-15M/year.
Most companies never get here because VCs show up early with decacorn dreams and money you don't need.
That capital interferes with the one thing that makes you great: product-market fit.
Bootstrapping to $10M ARR is easier and less risky than creating a VC-backed unicorn, with a far higher probability-weighted outcome.
If you can find PMF and use customer money to get to $10M, you can do anything you want with your life.
After Google acquired my AR startup, I started thinking about the next interface, this time for AI. Text and voice work fine, just like DOS did before the Mac. But nothing’s more intuitive than face to face.
After two years of research, today we’re launching Atmee v2: a real-time avatar model that makes live video agents feel truly life-like.
• Any character from 1 image + 10s of audio
• Contextual expressions, gestures, even interacting with the environment
• Live video calls, voice only, or video generation
At its core, Atmee v2 is a video foundation model, it can render anything, but it’s built to excel at characters, which is what video models like Seedance 2.5 and Wan 3.0 are mostly used for. In comparison:
Atmee v2
• Up to 50x faster
• 10-100x cheaper
Build tutors, sales coaches, support agents, companions, game characters, even whole living worlds. The interface after text and voice starts today.
I have a newfound appreciation for @minnasong and the elise ai team throughout this entire saga. A barrage of people is picking sides and deciding the future of the industry. They are heads down building.
Proptech is called Floptech by many investors due to the oligopolistic nature of the industry (few moonshots), the lack of trust in tech built for the industry (CTOs in RE firms would rather choose a general system to work with or self build instead of a proptech vendor), and a slow adoption pattern, which leads to returns that are more governed by industry practices instead of the true merit of technology or a service.
So far, there haven’t been enough incentives on both sides to change that, but the future for both incumbents and startups is bright in a true market, as it ultimately makes customers the winner.
When customers win, that’s when they get trust in tech built for them, and a verticalized ecosystem flourishes, as seen in other industries such as legal, supply chain, and F&B.
Nick Macholin expected a draft. His ChatGPT dot had sent the email.
His post inspired AI Native episode 2. I'd start with "draft only," review the exact action before approving it, and check which accounts the assistant can access.
My mom always loved discounts, and she doesn't know there is a fire sale on intelligence.
Don't tell her the costs:)
The Big Discount on Intelligence is out on Substack
https://t.co/P3OgEeSE73