Neer Sharma

distribution um or to like crack the algo and the thing is if you can break the tiktok algo then the scale at which products can grow is just so immensely huge that's definitely like a big thing that i look for or in the case of like a reddit um thread it's just like okay this is a common problem that is top of mind for some people um so maybe the first thing is dropping into that

distribution um or to like crack the algo and the thing is if you can break the tiktok algo then the scale at which products can grow is just so immensely huge that's definitely like a big thing that i look for or in the case of like a reddit um thread it's just like okay this is a common problem that is top of mind for some people um so maybe the first thing is dropping into that

distribution um or to like crack the algo and the thing is if you can break the tiktok algo then the scale at which products can grow is just so immensely huge that's definitely like a big thing that i look for or in the case of like a reddit um thread it's just like okay this is a common problem that is top of mind for some people um so maybe the first thing is dropping into that

subreddit with hey by the way like here's a thing for you guys um i think maybe the you'd have to really engineer the viral mechanics i think a lot better because you're i don't think there's necessarily like algorithm breaking moments um but but yeah that's that's generally the the thesis

subreddit with hey by the way like here's a thing for you guys um i think maybe the you'd have to really engineer the viral mechanics i think a lot better because you're i don't think there's necessarily like algorithm breaking moments um but but yeah that's that's generally the the thesis

subreddit with hey by the way like here's a thing for you guys um i think maybe the you'd have to really engineer the viral mechanics i think a lot better because you're i don't think there's necessarily like algorithm breaking moments um but but yeah that's that's generally the the thesis

Yes.

Yes.

Yes.

Okay, let's go for something completely different. So the first one is Long Live Research Inc. And this is, so I had a company, a newsletter before that was called Patent Drop. And what Patent Drop would do is it would summarize three new patents from big tech companies every week. And it was really just about scraping the patent database, bringing it to people with a short, brief summary.

Okay, let's go for something completely different. So the first one is Long Live Research Inc. And this is, so I had a company, a newsletter before that was called Patent Drop. And what Patent Drop would do is it would summarize three new patents from big tech companies every week. And it was really just about scraping the patent database, bringing it to people with a short, brief summary.

Okay, let's go for something completely different. So the first one is Long Live Research Inc. And this is, so I had a company, a newsletter before that was called Patent Drop. And what Patent Drop would do is it would summarize three new patents from big tech companies every week. And it was really just about scraping the patent database, bringing it to people with a short, brief summary.

And it was really focused on, hey, if you're interested in the future, you need to be reading this newsletter. And what that experience taught me was, firstly, there is a lot of value from really fragmented information or information that's just hard to find. and bringing that to people where they are in a way that's easy to digest.

And it was really focused on, hey, if you're interested in the future, you need to be reading this newsletter. And what that experience taught me was, firstly, there is a lot of value from really fragmented information or information that's just hard to find. and bringing that to people where they are in a way that's easy to digest.

And it was really focused on, hey, if you're interested in the future, you need to be reading this newsletter. And what that experience taught me was, firstly, there is a lot of value from really fragmented information or information that's just hard to find. and bringing that to people where they are in a way that's easy to digest.

And I think the second thing is again, going back to that algorithm breaking moment, that kind of distributional advantage. So with patent drop, I would really just look for patents that had interesting visuals that I knew would break the algorithm. It was like, okay, meta working on this brain computing helmet thing would definitely get people talking.

And I think the second thing is again, going back to that algorithm breaking moment, that kind of distributional advantage. So with patent drop, I would really just look for patents that had interesting visuals that I knew would break the algorithm. It was like, okay, meta working on this brain computing helmet thing would definitely get people talking.

And I think the second thing is again, going back to that algorithm breaking moment, that kind of distributional advantage. So with patent drop, I would really just look for patents that had interesting visuals that I knew would break the algorithm. It was like, okay, meta working on this brain computing helmet thing would definitely get people talking.

And the distributional thing is validated from, oh yeah, like all of these journalistic publications always write about like, ah, look at what Apple working on. Look at this patent from Apple. So it's like, okay, cool. Like let's just centralize it. Let's own that format. That format right now is not owned by someone. Let's own that format.

And the distributional thing is validated from, oh yeah, like all of these journalistic publications always write about like, ah, look at what Apple working on. Look at this patent from Apple. So it's like, okay, cool. Like let's just centralize it. Let's own that format. That format right now is not owned by someone. Let's own that format.