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 →
Hans Tung argument clarity score 4.4/5 from 14 exchanges on raw tape
· average scores: directness 4.6 · coherence 4.6 · precision 4.4 · compression 3.9 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.
Redirected produced feed
D 2 · C 4 · P 4 · Cm 3 3.25
Q I mean, you know, post three hundred million in valuation. I mean, how you've got to be a lot more sensitive to price because this really matters in terms of multiple expectation. But actually, yes, I mean, if you're paying a billion and it could be fifty billion, there's still a 40 X with dilution. So I guess when does the rubber hit the road with valuation in your mind?
A That's why it favors folks who can be multi-season investor. I remember investing in Peloton at about a billion dollar valuation. Today, it's over thirty billion. So even a billion dollar valuation, it was a hard round. A lot of smart people passed. Because of variation, and because it was still mostly a hardware business, at least perceived to be so, hardware business back then, it was hard to get that round done. But, you know, obviously a lot happened since that made people realize that it's a subscription business that's COVID and growth accelerated. So, whether you're investing early, mid, or late, you still have to pick correctly. It's still about picking the rising tide and picking the best player in that. It sounds simple, but it's really hard to do when you're deep into analyzing a company and trying to figure out what are the early signals That could indicate that this is a rising tide, and the inflection point for growth is just right around the corner. And the judgment call involves, and the guts to make that call, is what makes this job extremely interesting and rewarding.
AI assessment note: “It's still about picking the rising tide and picking the best player in that.”
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D 2 · C 4 · P 4 · Cm 3 3.25
Q know, we don't have that luxury, it seems, anymore with the compression of fundraising timelines. It's a bit of a divisive one, but fuck it, we're five years in, so I can ask these ones. How do you feel about the renewed landscape of Tiger, Edition, D-One, Durable, where literally post a day or two, you've got a fifty, hundred million term sheet? How does one compete in this landscape?
A This is something I haven't shared in public before. I remember joining GGV in 2013, having discussion with Glenn, Jeff, and then my other partners, Ji Xun and Jenny at that time. And one of the things I mentioned is that, you know, Sequoia has been amazing VC. Their track record over the last 20 years is incredible. But I mentioned that I think back in 2013, the model to look at will ends up being something what Tiger Global is building because it's multi-stage and it is a public fund that if you do that well, The profits of that can help to subsidize growth of their private equity business, and they can afford to engage third party due diligence for them instead of doing everything themselves in house. Now free up in the bandwidth due diligence and be able to process more companies, analyze more trends at the same time, and they need to invest globally. Then you have insights from multiple geographies that help to build conviction. If something's emerging, whether that business model risk is a lot or more or less proven because you've seen it elsewhere already. Yes. There's going to be a lot of localization that's different. So you gotta know each local market well enough to be able to judge if the right amount of localization has been implemented to make this model work elsewhere. But you will have a lot more data points than anyone else to make those calls, and that's what …
AI assessment note: “the model to look at will ends up being something what Tiger Global is building”
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D 2 · C 2 · P 3 · Cm 2 2.25
Q Tell me, what piece of advice do you often give, but find hard to take yourself?
A There are only going to be a few moments in life, two or three times, where the decision you make makes a huge impact, not only to yourself, but also the people around you, the Once you love. Gotta make those decisions extremely carefully. Find a place of quietness and talk to many people if you need to. After you get all the data points, try to sleep on it and get up early and just really walk and think through, be by yourself, and then solitude and quietness help you to get a develop intuitive sense of where you should be going, and you make those decisions well will make a huge difference. In Yeah. Yeah. Yeah. Yeah. And I think as collectively, it has served us well to be able to navigate some of the volatility we're seeing in this current market. Being global is not easy. It's hard work. The quality of life is definitely not as good as someone who just do something only locally, but the intellectual and hopefully rewards that come from that for our LPs and our other colleagues will be totally worth it.
AI assessment note: “Find a place of quietness and talk to many people if you need to.”
