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Architect 🇺🇦 Profile picture
@DataCommandant
Oct 21 • 1 tweets • 1 min read • Read on X
Did $COIN overpay for Echo? Probably.

Doesn't matter. Blitzing into an onchain capital formation stack is a great move. This is a super high margin biz with wonderful downstream impacts for their entire product ecosystem.

For this acquisition to be worth, all you need to believe is that new ventures will continue being formed and that they will seek the lowest friction path to raising money. Not exactly a big leap.

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More from @DataCommandant

Architect 🇺🇦 Profile picture
Jul 31
$COIN Earnings Highlights

Subscription & Services:

Cointinues to be a resilient business.

Revenue slipped only 6 % Q/Q to $656 M. Stablecoin (USDC) revenue jumped 12 % to $332 M on 13 % higher average on-platform balances and record 61 B $USDC in circulation.
Prime Financing & Custody:

Move over $JPM, Coinbase is becoming the crypto banking Goliath.

Average Prime loan balances hit all-time highs; Assets-under-custody reached $245.7 B, and Coinbase now guards 80 %+ of U.S. crypto-ETF assets.
Product Momentum:

▫️ Perpetual futures suite launched in the U.S.
▫️ Coinbase International Exchange posted record derivatives volume/open interest.
▫️ Not technically in this Q, but new Base wallet superapp launched which surely will be discussed on call.
▫️ Deribit
Read 11 tweets
Architect 🇺🇦 Profile picture
May 17, 2023
The foundational work for the transformer model used in ChatGPT, and indeed all GPT models, comes from a paper by Google called "Attention is All You Need" by Vaswani et al., published in 2017.

What is it and how does it work?

arxiv.org/abs/1706.03762
The Transformer model is a novel neural network architecture that relies on a mechanism called "attention" to model relationships between elements in a sequence, like words in a sentence.

This model has been revolutionary in natural language processing for several reasons:
Attention

Consider the sentence: "Bark is very cute and he is a dog" When trying to understand the word "he", a Transformer model with attention may assign higher weights to "bark" and "dog", measuring relevance.

This allows the model to handle long-term dependencies in text. Image
Read 16 tweets
Architect 🇺🇦 Profile picture
Mar 6, 2022
Lets think about the upcoming economic situation:

Ukraine and Russia account for about 30% of world wheat and barley exports, 19% of corn exports, 23% of canola exports and 78% of sunflower oil export.

That's not their only impact on food markets.

1/17
Consider fertilizer commodities:

▫️ Russia is 22% of global exports of ammonia
▫️ Russia is 14% of global urea exports
▫️ Russia is 14% of global monoammonium phosphate exports
▫️ Russia and Belarus are 40% of global potash exports

2/17

reuters.com/article/ukrain…
Food insecure nations will face severe famines, particularly those in the Middle East, Africa, and Caribbean. Having substantial food imports means countries also face widening trade deficits which can be detrimental to their currency.

3/17

worldatlas.com/articles/the-c…
Read 17 tweets
Architect 🇺🇦 Profile picture
Feb 24, 2022
Some thoughts on the immediate repercussions of Russia's invasion on financial markets. 👇

At first, we will see a global deflationary shock. This is as much about short-term trade issues as it is about accelerating deglobalization. The world has changed.
en.wikipedia.org/wiki/Deglobali…
The next stage will be inflation. Russia and Ukraine are both important in supply chains. The cost of food and energy will increase, especially in Europe. Manufactured goods such as fertilizer and semiconductors will also be affected.
marketplace.org/2014/03/05/ukr…
Finally, between tightening monetary policy and increasing oil prices, most Western economies are basically locked into a recession within 18 months.

Between recession and deglobalization, the net impacts are sharply deflationary.

brookings.edu/wp-content/upl…
Read 5 tweets
Architect 🇺🇦 Profile picture
Sep 26, 2021
Some people asked me about $SYN and TLDR I don't like it as an investment.

It's main advantage is avoiding the withdrawal delays in rollups. These delays are dramatically reduced with more users and L2s like DYDX have already monetized "quick withdrawal" functionality.
Just because we moving to a multi-chain world, it doesn't mean a user is going to be frequently moving between chains. CeDeFi apps will abstract protocol topology so that the user is largely unaware which chains they are using.
Protocol-native AMMs will always have liquidity advantages over cross-chain:

1. A cross-chain AMM needs two separate pools for the same pairs.
2. Protocol-native users will likely denominate in that protocol's token which will be the bridge currency for their local AMM.
Read 5 tweets
Architect 🇺🇦 Profile picture
Sep 24, 2021
$TEDDY is definitely my fastest 10x. It's only been a couple days. 🥳

When I looked at the tokenomics, it had everything you want to see:

▫️ Extremely low float at ~1% of supply
▫️ Heavy token incentives in their KPIs
▫️ Token purpose in the form of a revenue share
This project has an excellent flywheel similar to $DAI's early days. At low issuance, algo stables have incredible problems maintaining their peg. This opens wonderful arbitrage opportunities which, in turn, lead to more $TSD creation.

More TVL + issuance = revenue + comp value
Staking $TSD is valuable for incentive mining $TEDDY. This is the demand source that opens arbitrage opportunities. At this point, we don't even need more users for short-term growth.

$TEDDY has ~$14MM market cap. We should move to $50MM in short order. I'll reevaluate then.
Read 4 tweets

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