I cannot believe this content is free.

My notes from @Arthur_0x and @zhusu's podcast. Great catch up on everything going on in DeFi.

PS - This is extremely niche so please feel free to skip if you're not interested in

TLDR:

1. Build for UI/UX; not solely for technology/economics. They’re more important than you’d expect. See Balancer.

2. Involve community. They’ll do more than you’d expect. See Sushi.

3. Creative governance solutions & long term orientation will win. See SNX
Part 1: Decentralized Exchanges

$UNI (Uniswap)
$SUSHI (Sushiswap)
$ZRX (0x)
$BNT (Bancor)
$KNC (Khyber Network)
2021 Dexes Takeaway.
Part 2: Lending Protocols

$AAVE (AAVE)
$COMP (Compound)
$MKR (Maker)
(@placeholdervc article referenced above)

https://t.co/JWHXdGooTd
$SNX (Synthetix)
I *think* this is the blogpost referenced above. @Arthur_0x can confirm.

https://t.co/9jpEl8cqtk
$UMA (Universal Market Access)
Fin.

Notes are rough and were meant for myself but this podcast was so valuable I figured I'd publish it. Apologies if I mis-summarized anywhere @zhusu @Arthur_0x... please feel free to correct, thanks!

PS - Part II is out next week.
@zhusu @Arthur_0x Some collab suggestions:

@BanklessHQ pls have @Arthur_0x on to discuss Layer 2 impact on DeFi protocols?

@RaoulGMI @AshBennington pls have Arthur/Su Zhu on to discuss the hybrid CeDeFi thesis?

3. @twobitidiot please have Arthur/Su Zhu to compare Messari v. DeFiance notes?

More from Crypto

You may be wondering why @bristoliver rather cryptically RT’d a chart that I posted last night. The answer is not just that he loves quadratic fits on log axes, but that this chart may –and I stress may– hint at a vaccine effect amongst the over 80s THREAD


WARNING: this is a long thread, and it’s a bit of a roller-coaster. We find some apparently strong patterns in the data, and then start to unpick them a bit. So if you start getting excited half way through you might find you’re less excited at the end. But we’ll see…

First we first have to go back a bit. @bristoliver posted a thread a few days ago explaining why, with a constant vaccination rate, a log plot of cases should show a quadratic form. In other words, it should fit an equation like: a + b.x + c.x^2

I meant to link in the model thread there - here it is


the quadratic coefficient – the ‘c’ in that equation – gives an estimate of the % of the population who are being newly protected by the vaccine each day. Please note ‘protected by the vaccine’, not ‘vaccinated’ – as we don't expect 100% protection after the first dose

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