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 all,
Let me start by saying that I really enjoy using @Slack. Every day I use it, though, I find myself wishing I could create threads within sub-threads. Is this limitation intentional to encourage keeping conversations in the main thread or are there any plans to support one additional level of threading in the future?
For example, we're building a product called Mozart, an AI-powered digital audio workstation (DAW). We had a thread discussing the mixer component, and within that, someone started a sub-thread about how effects would be handled. I wanted to go even deeper and discuss one specific effect the reverb module but there was no clean way to do that without cluttering the entire sub-thread. I instead had to forward the message to the main chat and start another thread there. A sub-sub-thread would have allowed us to stay a bit more organised and focused without losing context.
Keen to get your thoughts on this :)) !