This isn't just about business models. It's about a new way to research: - Competitive landscapes - Technology stacks - Market opportunities - Academic literature When you need the full picture, not just one corner.

The results blew my mind: - Found 20 viable business models - 100+ real examples with revenue data - Patterns I'd never have seen sequentially - Complete implementation guides for each Single-threaded AI: great for depth Parallel agents: breadth AND depth

Then parallel execution kicks in with an agent that does deep dives on ONE model from the phase one. Run the same agent in batches, 5 at a time. Using a single agent running in parallel gives you a standardized output, and depth on each model.

Here's the Survey Agent that starts it all and creates your research universe for you.

The 3-phase system that changes everything: Phase 1: Survey Agent discovers ALL options Phase 2: Deep Dive Agents (parallel) analyze each one Phase 3: Example Finders (parallel) verify with real data What took me 2 weeks manually now takes just hours automatically.

The solution: Parallel AI agents in Claude Code. Instead of one deep conversation, you spawn multiple agents: - 1 agent surveys the entire landscape - 20 agents each become experts on ONE thing - 20 more agents verify with real examples This way you get Breadth AND Depth.

Here's the problem with single-threaded AI research: You ask Claude about business models. It gives you 5-10 good ones. You pick one to explore. Deep dive on that one. But what about the other 15 models you never discovered? What patterns exist across ALL of them?

I ran 20 AI agents simultaneously to research business models. A few hours later I had 100+ verified examples with revenue data. Deep research on Claude/ChatGPT/Perplexity are great for deep dives on ONE topic. But what if you want to research EVERYTHING at once? 🧵

Thrilled to share that @CloudApp has raised a $9.3M Series A! 🎉 It's been an incredible journey for our team to support over 4 million users, and we're just getting started!

Shoutout to @Andrew_T_Thomas at @cloudapp for landing on our #DatamonsterAwards shortlist! Andrew and his team improved retention by 51% by using Amplitude to track and experiment with main activation and engagement areas. Awesome job! 🎉

I’m excited to be named a winner of @Amplitude_HQ’s 2021 #DataMonsterAwards! 🎉 With this award, I’m being recognized for my commitment to fostering a data-informed, customer-centric culture at @cloudapp. Check out the full list of award-winners here:

Congress ngmi

People are gradually becoming a community-owned token, and @OKEx has always been at the forefront of listing tokens that are owned 100% by the community, like SHIB and many others. Thanks for the feat @business. https://t.co/99WCntJqWH

At McDonalds Wife: Can we get a chocolate shake and a hot fudge sundae? McD’s: Oh we don’t have ice cream right now W: Ok, thanks M: But do you sill want the shake? Wtf is in the shake if it isn’t ice cream?!

📚 RT for a chance to win a SIGNED copy of The Cold Start Problem! 📚 We're giving away 5 autographed copies of @andrewchen's new book. To enter: just RT this tweet. We'll pick 5 winners at random on Dec. 9 at 12am PST. (turn on DMs to get notified)

Twitter is a better place to check if a service is down than the service's status page... @awscloud #aws

Burry your head in the sand long enough and you’ll suffocate. Reality can hurt but it’s the air we need to grow and progress.

Investing your time, energy, and attention is not like investing your $. - There are no time index funds - You have a limited and finite amount of time - Time doesn't compound in the same way $ does

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I don’t think it has to be web2 vs web3. Web3 will only be successful if it builds on the good things that have come from web2.