Whole Mars Catalog Profile picture
Mar 15, 2023 16 tweets 12 min read Read on X
.@mevcollector turned 11E -> 862E (7736%!) by investing in the strongest NFT projects

But *how* do you identify these NFT projects?

I built a dashboard to assess the strength of NFT projects so you can find the next 100x!

(including the most profitable wallets to copytrade 💵) Image
1/ Let's use the dashboard to look at my favorite project, the Pudgy Penguins

As an overview, we'll cover:

- NFT sale price trends
- Average # of days held
- Unique holders
- Top $$ sales + traders 🤑
(and more)

Link for y'all to follow along with: dune.com/0xjaypeg/nft-c…
2/ *NFT sale price trends*

This chart plots individual sales as purple dots

It overlays the avg sale prices as the orange line

Outliers are excluded from the individual data points, but included them through the average (explaining the random blips)

Note: Luca acquired the.. Image
3/ ...Pudgies in April '22 and its clear that afterwards the sale prices have on a steady path up

Looking at this chart, it's just a matter of time before another big move up. I'm stoked to see what's to come

So what does the other data tell us? Image
4/ *Average # of days held*

This chart helps visualize the average holding time

The bigger the dot, the higher the # of NFTs sold

Notice that initially, the dot sizes decreases and moves upwards along the # of days held

This tells us holding time is steadily increasing and.. Image
5/ ..less NFTs are sold - an indication of strength

What about the bottom right corner?

If you look at the bottom right corner it's clear the # of days held decreased + circle size increases. Notice this starts around the end of '22

Why? $BLUR incentives Image
6/ *Unique Holders*

For a given NFT project, the more unique holders, the stronger

To illustrate: imagine each NFT was held by a unique wallet - there wouldn't be one individual that could "dump" on the rest

Btw, can you spot in the chart where Luca bought the Pudgies? Image
7/ *Top $$ sales + traders*

Ok this section is for you profit maxis

How can we cover the strength of an NFT community w/o looking at the most profitable trades / wallets?

These are the most profitable wallets and how much they’ve earned trading *JUST* the Pudgies Image
8/ So the top 3 most profitable wallets are:

0x1964 earning 1.2M+ (looking deeper, this dude sold 1 pudgy)
0x9e91 earning 1.1M+
0x8adc earning 800K+

These are insane and it's probably worth noting down the wallets to copy-trade :)

I’ll include link the wallets at the end 🤑
9/ What about the biggest individual sales?

In 1st Pudgy #6276 was sold for 1.2M+ in profits - this corresponds to the txn from wallet 0x1964

In 2nd we had .@KinkyBedBugs buying the backwards pudgy, making history and getting CT talking about udgies again

And lastly .. Image
10/ ..we had .@vince_can_dough buying 2 pudgies in a bundle transaction for 420E (how fitting lmao)

Crazy that within these 3 sales, the sellers collectively profited for over 2 million US dollars

Inflation is a bitch huh? 😏 ImageImageImage
11/ So finishing things up on the dashboard, we have:

- Average holding time
- days since mint
- % of NFTs since mint that were never sold

Tbh, not a great measure for the Pudgies but understandably so given the sale in April '22... ImageImageImage
12/ But with how Luca is steering the ship, I'm excited to see how the average holding time improves

I used the Pudgies here, but the beautiful thing about the dashboard is you can use it to analyze any NFT project

Just add the contract address here, and hit 'Apply all ..' Image
13/ GLHF to all of you guys in finding the strongest NFT projects out there

Did you find this useful? Please like/retweet the first tweet if so, and follow me @0xjaypeg for more write-ups in the future



And as promised the most profitable wallets:

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More from @WholeMarsBlog

Jan 19, 2025
I’ve seen a couple write-ups on the potential value of the @_kaitoai airdrop but I haven’t seen anything on why this is one of the few novel, game changing products

Imagine if you had the smartest, most objective folks (more detail in next tweet) in the world that had the ability to consume every tweet related to crypto. They then filtered out all the shitposts, toxicity, and then ranked each tweet based on originality, relevance and impact.

Then you (or in this case the Kaito team) could ask them any series of questions and they would answer them in a quantitative, detailed fashion. This is effectively what Kaito is today.

But what's to come is why I think it will be game-changing, and I think with the new Trump admin what they are trying to build will be entirely possible.

It’s been a while since I’ve been so bullish on a product. I think if you log onto cryptotwitter everyday this is worth digging further into
How can I say that Kaito has the smartest, most objective folks?

They don’t have ppl manually working for them. They have an in-house, proprietary algorithm that effectively reads through every tweet.

I was surprised to hear that they owned their model rather than outsourcing it or using a generic, open source LLM. I dug into this a bit more and noticed that they have a text embedding (text embedding is a fancy way of saying tagging a tweet with the relevant topics e.g. this tweet would get a kaito tag) model on a bittensor subnet -- checkout @openkaito. When they ran a comparison against openAI’s baseline model, they outscored it (image below)

This is definitely step up in caliber relative to the bulk of “AI” related products in crypto today.

Additionally, the more tweets the model consumes, the better it gets – this is how models work, and since the model is reading through all the tweets, the improvement is happening as we speak.

And its evident that other people and protocols are interested in utilizing this.

@eigenlayer did their surprise creator airdrop in collaboration with Kaito -- they used Kaito's dataset and scoring system to enable this. @Punk9277 (kaito's founder) also mentions that there are tons of protocols lining up with interest.Image
So why am I excited about what's to come?

Watching through @KevinWSHPod pod with Yuhu (Kaito's founder), they talk about this dynamics of consuming information and describe the 3 stages as:

1/ You read through everything, and then use your judgment to determine what is important and what isn’t
2/ You train an algorithm to read through everything, it uses its judgment
3/ You allow anyone (and any model) to read through everything, and use market forces as a way to weigh opinions and use the market’s judgment

The majority of us operate in mode 1. Kaito currently enables 2.

But the 3rd stage is what they are building towards. Yuhu suggests that there’s a possibility to “tokenize” a KOL in a fashion where their earnings are distributed to token holders in a trustless fashion. And this is where market forces come into play -- this effectively allows us to speculate on influencers (and AI agents!).

In a Biden/Gensler regime, I would’ve laughed at this thought, but now that Trump is the POTUS, this actually seems extremely viable from a regulatory POV.

It’ll be cool to see how the Kaito team actually executes on this
Read 4 tweets
Jan 18, 2025
the funniest outcome here is if this trump induced solana pump ends up blowing out the march unlock hedgers Image
funding is still *very* reasonable, and even negative at certain exchanges

also from the above, its clear we had a huge tick up in aggro spot buying (look at CVD and spot volumes) Image
uhhhhhh Image
Read 5 tweets
Jan 16, 2025
Had the thesis a while ago that airdrops would target "strong" communities (pengus, punks, etc)

Guess Kaito filled that gap by taking a more quantitative approach

Similar to how fb/goog could do targeted advertising, Kaito is building the crypto equivalent

Cool to see Image
we had a number of airdrops in the past year - the meta quickly evolved into one where it was hard to discern organic community vs. sybils / farmers

ultimately this is an identity problem (anyone can spin up hundreds of wallets)

altho controversial, kaito is starting to shape into the identity layer

a twitter handle to wallet mapping is invaluable to protocols, esp when you give analytics and metrics attached to how much reach and influence a particular individual has
Read 4 tweets
Jan 14, 2025
Asking about the business use case for blockchains (L1s) is backwards looking.

This is the equivalent of asking what is the use case of <insert fav chat app> when messenger, whatsapp, imessage, etc. all exist. Is there really a difference between these chat apps?
Sure, there are nuances around security, UI preferences, and whether the backend architecture is optimizing for consistency vs. availability but at the EOD, for 99.99% of users, there isn’t a difference. The same thing can be said about L1s themselves
So what allows certain blockchains to survive (and thrive)? Why did Solana come out significantly ahead of Avalanche when they came up around similar times? And how can you reason about what is going on with SUI currently?
Read 9 tweets
Nov 13, 2024
So what’s with the underperformance of crypto equities? 🧵
1/ Hopefully this will illustrate the general dynamics on how the options market effects the underlying stock price Image
2/ A big factor is the monthly options expiry coming up this Friday on Nov 15 -- the dynamic causing the sell off is:

- the expectations on price movement were way too high
- market makers unwinding hedges

I’ll use $COIN as an example (but can be applied to all equities)
Read 11 tweets
Nov 7, 2024
Some reminders (to self) as things start to get parabolic
1) If you are in “everything” you aren’t going to outperform. You don’t need to catch every coin. FOMO is the mind killer
2) Think through who the marginal buyer is relative to the info source. Are you getting advice to buy a coin from a trusted friend via DMs? Or is a bigger account telling you to buy a 5M market cap coin?
Read 9 tweets

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