Every argument clarity score on this site is built from rows on this page. Each
question and answer was assessed with names hidden, the host's own answers included, on
four things from 1 to 5:
directness (does it answer the question asked), coherence (do the ideas follow),
precision (concrete details and clear references), compression (says a lot per word). The weighted
mix (30/30/25/15) is the exchange score. A person's published score averages their exchange
scores on raw tape only, at least 8 of them, shrunk toward the cohort mean.
Full method →
Ananth Narayanan no published score: only 4 usable exchanges on raw tape, and a fair score needs 8+ · coarse estimate ≈4.0/5 from 4 raw tape exchanges record → ← everyone
Every exchange below was scored with names hidden, four dimensions each from 1 to 5.
An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression.
The published score averages the raw tape exchange scores and shrinks small samples toward the
cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only
toward coarse estimates, never toward a full score.
Answered raw tape
D 5 · C 4 · P 5 · Cm 4 4.55
Q Is that the key then today to build a brand? Is it content and community? Not just for influencer led brand, but all brands.
A I think it is a large part of it, but it is not the only part of it. I think it's a big part of brand building between 20 and a hundred crores because it's a less, it's a more. So again, I'll give you an example. For us, we do a lot of our brand building through Men's XP and Ideva. It doesn't cost us. We own the content platforms. For the 20 to a hundred crores, it's the most effective way to do it, because you spend one, two percent of your revenue, as opposed to four, five percent of your revenue, and you get to the same kind of reach. Right? And, and that is an easier and more cost effective way of doing it. I think the hard part and the boring part, especially if you're more online, offline also, I think we, I'm sure you will have added points on the online side, knowing how to do growth hacking or performance marketing on Amazon, Flipkart, Mintra, Google, Facebook is a core skill between 20 and a hundred.
AI assessment note: “I think it is a large part of it, but it is not the only part”
Answered raw tape
D 4 · C 4 · P 4 · Cm 4 4.00
Q What is the role of AI in all this? Tomorrow will there be a time where I go online. I think of what kind of t-shirt I want. What kind of cosmetic product I want. AI generates it for me right away and ships it to me.
A So I think there is very, um, I'm sorry to sound more mundane and boring, but I think there is real value in data science and machine learning in the business operations of fashion. So I just want to take a minute to do it. I think the, um, I'll, I'll come to the most extreme example. We did some of that experimentation, but I think it's more an experiment in the Myntra world, right? But I'll tell you what the most difficult problem in fashion is. It's actually demand forecasting. At some level, how much inventory to make, what to make, et cetera, and have that ready. I think if you use machine learning and data science as algorithms, we're using it now, you are able to forecast with better accuracy, right?
AI assessment note: “I'm sorry to sound more mundane and boring, but I think there is real value”
Answered raw tape
D 4 · C 4 · P 4 · Cm 4 4.00
Q What are the factors? What are the moving parts?
A So the biggest thing is the same SKU, right? Option SKU doesn't repeat. What a machine learning algorithm is able to figure out is what you call a clustering. One black dress is similar to another black dress, which is similar to another black dress. Therefore, use the history of the previous data to predict what a new option is going to do. If you can get that algorithm right, then your ability to forecast accurately becomes much better. And if you have more and more data, which you do in an online world, you're able to do it dramatically better. I'll give you another interesting example. If you take pricing, when you discount a product, when the inventory keeps going down, and what do you price it at? Actually is a very difficult problem. To do, and most people do it unscientifically. You can change your price.
AI assessment note: “the biggest thing is the same SKU, right? Option SKU doesn't repeat.”
Answered raw tape
D 4 · C 3 · P 3 · Cm 3 3.30
Q Who was right and who was wrong amongst the three?
A I don't think one was right or one was wrong. I think by the way, it is still the most successful exit that I think India has produced. So I think they did something right, much more right than wrong. Since you're their friend, maybe, you know, a little bit more, but, um, uh, but essentially, uh, I, so it happened by chance. So I do a lot of stuff. Based on instinct and people and some macros. So may not be quite like investing, but you know, for me, people matter. So you make the bet on the person. And I thought they always put the company first and I bet on them. I think e-commerce was a 10 year trend. So bet on that.
AI assessment note: “I don't think one was right or one was wrong.”
