www.twitter.com/mlinsey
Engineering @ Homejoy (YC S10)
hnchat.com:8pJMixG6jypNc7WE7714
Having a facial recognition match make you a suspect and cause the police to ask you some questions doesn't seem completely unreasonable to me. Investigations can certainly begin with weak forms of evidence (like an anonymous tip), you just require a higher standard of evidence for a search warrant, surveillance, or an arrest. A facial recognition match shouldn't be probable cause for an arrest warrant, but it still might be a useful starting point for a detective looking for actual evidence.
Adoption of web browsers was also much lower when Netscape was dominant. 90% marketshare is less meaningful if you're only 1% of the way to the potential market size. Peeling away users who talk to ChatGPT every day is very possible, but harder than getting someone whose never used an LLM before (but does use your OS, browser, phone...) to try yours first.
I think the even better analogy than browsers is search engines. There aren't any network effects or platform lock-in, but there is potential for a data flywheel, building a brand, and just getting users in the habit of using you. The results won't necessarily turn out the same - I think OpenAI's edge on results quality is a lot less than early Google over its competitors - but the shape of the competition is similar.
This project is an enhanced reader for Ycombinator Hacker News: https://news.ycombinator.com/.
The interface also allow to comment, post and interact with the original HN platform. Credentials are stored locally and are never sent to any server, you can check the source code here: https://github.com/GabrielePicco/hacker-news-rich.
For suggestions and features requests you can write me here: gabrielepicco.github.io