Arjun S Khanna

The other day I was talking with a friend about how companies like Anthropic and ChatGPT sell intelligence through APIs but much of the user-facing value is being created by other companies which use their APIs.

These companies wrap the API (hence the name openAI-wrappers) with clean UX, clever prompts, and just enough orchestration to feel like a full product. They don t need to build the model, they just need to understand the user s workflow.

But now, with OpenAI acquiring the hardware startup IO and moving toward building physical products, the lines are starting to blur. Will we end up with one unified interface for general intelligence, or a fragmented ecosystem of domain-specific wrappers?
Super curious to hear where you think this is headed. Also, as a side question, what are your thoughts about all these gpt-wrappers?

Hey All,

The thesis of a 1-person Unicorn has been going around since the emergence of LLMs and Agents. While I certainly see how an engineer can now do the work of 10, maybe 20 engineers, I'm still not able to see the path to a $1B company.

Hey guys,
I've been thinking about this and wanted to get your take on it.

ChatGPT broke AI into the mainstream, but now that the novelty has worn off what are everyday (non-tech) users actually asking for?
When non-tech people think about AI are they wanting AI to handle their emails, manage their schedules or something completely different?
From the conversations I've had, it seems like most people use ChatGPT and see the potential but can't figure out how it fits into their actual routine. What I'm noticing is that people are really interested in AI solutions that can take over the stuff they find tedious, whether that's digital stuff like sorting through emails or physical tasks like household chores.
What are you hearing from non-tech users? What problems are they hoping AI will solve for them?
Looking forward to your thoughts!!