Harry Stebbings
👤 PersonAppearances Over Time
Podcast Appearances
And by the way, what's doing what's right for the firm may actually lead to bad messaging to LPs. Because if you are managing a firm that needs to be very drastically reshaped for this new age, LPs find instability very disconcerting. That is a red mark in your box. That's right.
And it may take three years to show that transition worked, by which point they will have churned because they will have gone Nabil. You changed your team entirely. You move this, this, and this. Next fund, no.
And it may take three years to show that transition worked, by which point they will have churned because they will have gone Nabil. You changed your team entirely. You move this, this, and this. Next fund, no.
And it may take three years to show that transition worked, by which point they will have churned because they will have gone Nabil. You changed your team entirely. You move this, this, and this. Next fund, no.
So what should we be doing? I learn from amazing guests like you on the show. I am building a firm. When we think about reshaping our firms to a new world of venture and startups, what needs to be done?
So what should we be doing? I learn from amazing guests like you on the show. I am building a firm. When we think about reshaping our firms to a new world of venture and startups, what needs to be done?
So what should we be doing? I learn from amazing guests like you on the show. I am building a firm. When we think about reshaping our firms to a new world of venture and startups, what needs to be done?
In terms of the heuristics for how you define quality, a lot of traditional investments are made with, oh, they're at X million in error, and it's been 18 months to X million error. That was a classic, like 18 months to 10 million error, gold standard. AI is just completely blowing that out of the water, and we see multiple products hit 10 million error in a couple of months. Yes.
In terms of the heuristics for how you define quality, a lot of traditional investments are made with, oh, they're at X million in error, and it's been 18 months to X million error. That was a classic, like 18 months to 10 million error, gold standard. AI is just completely blowing that out of the water, and we see multiple products hit 10 million error in a couple of months. Yes.
In terms of the heuristics for how you define quality, a lot of traditional investments are made with, oh, they're at X million in error, and it's been 18 months to X million error. That was a classic, like 18 months to 10 million error, gold standard. AI is just completely blowing that out of the water, and we see multiple products hit 10 million error in a couple of months. Yes.
That will probably be dead in two years. So how do we think about revenue as a heuristic for quality?
That will probably be dead in two years. So how do we think about revenue as a heuristic for quality?
That will probably be dead in two years. So how do we think about revenue as a heuristic for quality?
A promotion for a better job. They want to bounce to Sequoia or bounce to be a GP somewhere else.
A promotion for a better job. They want to bounce to Sequoia or bounce to be a GP somewhere else.
A promotion for a better job. They want to bounce to Sequoia or bounce to be a GP somewhere else.
Jason Lemkin always says that the adventure is a packaging industry. I need to get this, package it up, and then shift it on to the next person. Yeah. You hate that analogy. I hate that analogy deeply.
Jason Lemkin always says that the adventure is a packaging industry. I need to get this, package it up, and then shift it on to the next person. Yeah. You hate that analogy. I hate that analogy deeply.
Jason Lemkin always says that the adventure is a packaging industry. I need to get this, package it up, and then shift it on to the next person. Yeah. You hate that analogy. I hate that analogy deeply.
And so a winning strategy respectfully is back amazing founders with unique insights and go long.