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TBPN · 2 min · Oct 31, 2025
Superhuman brings AI to users instead of waiting for prompts
Shishir Mehrotra sorts AI into assist, chat and do categories, and says Superhuman makes 100 billion model calls a week. That usage comes from embedding AI across apps instead of waiting for prompts.
Superhuman
John Coogan, Host · Co-host, TBPN
Co-founded Soylent and Lucy; OpenAI bought his show TBPN in April 2026.
Jordi Hays, Host · Co-host, TBPN
Founded Branded Native; co-founded fintech Capital, which Rho bought.
About this segment
Shishir Mehrotra sorts AI into assist, chat and do categories, and says Superhuman makes 100 billion model calls a week. That usage comes from embedding AI across apps instead of waiting for prompts.
From “Marc Andreessen & Ilya Sutskever Host TBPN”, Oct 31, 2025. Watch the full episode
Thanks. We'll look at and fix what's off.
“We do about a 100,000,000,000 LLM calls a week.”
Takeaways
- Superhuman distinguishes assist, chat and do use cases.
- Its tools make about 100 billion LLM calls weekly.
- It embeds AI across apps where people already work.
In this episode
Full episode- 2:29:44Venture investors have to keep backing outliers through downturns2:52
- 1:47:16A superintelligence ban lacks a workable definition and reach4:48
- 2:32:27Generalists can spot opportunities experts overlook5:27
- 2:25:10Venture bets need durable growth, not just fast growth4:18
3:11:26Superhuman brings AI to users instead of waiting for prompts2:19
- 2:56:18Partiful makes the invitation part of the event5:10Up next
- 2:01:12Dean thinks AI drives roughly 40% of GDP growth3:34
- 1:26:20Product drops still work, but launch videos need new formats3:03
Transcript
From the transcript TBPN publishes with the episode.
- 3:11:32
How do you think about the the wars at the various layers of the stack? There's a war They're fighting all of them. I mean, there's an AI system in basically every web app now. Like, if I go into Gmail, it's asking me to use Gemini. And then at the browser layer, there's Atlas versus, you know, the per what Perplexes got going companies built on prem. Also the the the OS layer. So I was reflecting the other day on on Gmail was trying to get me to use Gemini. Chad, be was asking me was was asking me to use Atlas, and then Apple was trying to get me to use Apple intelligence, and it's three helpful AI assistants all in just you wanna summarize this email?
- 3:12:09
Yeah. So you said the keyword that you said ask? Yeah. So, actually, interestingly, my frame for if you took all those AI providers Yeah. And you put them into Yeah. I I call it the assist players, the chat players, and the do players. Okay. So the chat players, that's that's what you're referring to. There's a chatbot everywhere. ChatGPT is obviously synonymous with that category, and there's now dozens of them.
- 3:12:30
Yeah. Those all ask you to go chat with a virtual human assistant. Sure. There's a set of folks working on what we call do, which is I want an AI agent that can go do things on my behalf as headless tasks. Yep. And, you know, I think the the most popular one right now or the one people are talking a lot about is all the ones in the coding space. You know, the the Anthropic team said 39% of their queries are for headless agentic tasks and being used for developers writing code. But at the bottom of that stack is another category we call assist, and that's the category where we bring AI to you. So I'll give you I'll give you one fun stat. We do about a 100,000,000,000 LLM calls a week.
- 3:13:06
Mhmm. It would make us a top AI provider based on any anybody's volume. But we do that across about 40,000,000 users, which if you do the quick math on that, that's about that's a few thousand AI calls a day per person. So Wow. If you're a really, really good Gemini user or you're a really good Yeah. Tajikiki user, maybe use it a dozen times. Yep. Does yeah. Every time you press a key, every time you load a new doc, load a new app, we proactively bring AI to you, and we're figuring out all the places we can invisibly insert AI so it can assist you right where you're working.
- 3:13:40
Yeah. That makes a ton of sense.