Marloo

🀄️ In the trenches of time…

[Kαnτ @0xKant_]

One thing I love about CT is that all the pro Trump crypto people are slowly but surely finding out that Trump was, is, and will always remain top grifter.

[Torus @torus_network]

social media already is a prediction market, traded with social capital. 10y+ history, many billions of bets.

yet, this market is terribly inefficient at reflecting prediction outcomes back on social capital.

a prediction market that doesn't properly reward/penalize the winners and losers. messed up in its core.

this is the biggest problem social media has, and it will increasingly move into public awareness.

there's humongous private and public value in solving it.

the social layer will be 10x collectively smarter, polymarket, kalshi etc volumes and efficiency massively boosted, X global reputation and social pull massively boosted.

elon knows precisely what hes doing. turning the collective into a brain that works in his favour.

indeed it is rather convenient, that the ♓️ swarm, in our opinion, is the fundamentally best methodology to attack this complex problem.

we've predicted that things are moving here a long time ago

[Kαnτ @0xKant_]

Its toroids all the way down.

$torus

[Plata @platacrypto]

Flash crashes are bullish.

[DevDoSomething (DDS) @devdosomething]

Gm

Listen up #Base enjoyoors.

$I believe that our bags will all $Flock higher this year. There is no $Room for error. $Show up daily, stay $Wire(d) to screens, Have $Monk level patience, Ape $Ethy-cally.

Dont be $Rei-tarded! When Generational Wealth $Nock(s), you answer.

[Plata @platacrypto]

Attention for $NOCK is slowly building. IMO last chances to accumulate on these fire sale prices.

[Torus @torus_network]

the first and last time we give ketamine to ♓️ (probably)

[Torus @torus_network]

there are cathedrals everywhere for those with the eyes to see

[🌐 C.F. Ventures @BlocksNThoughts]

♉️The laggard of the group is $TORUS. This is hardly an issue in my opinion, as I have zero doubt the PA catches up to the tech and the die-hard community. Notice the Wicks on the 0.236 while ETH makes new ATHs.

[sam /// existential crisis @sam_trenchor]

more proof that $monk is the chosen one

@Chi_Wang_ is a leading expert in AI with deep experience at meta, google & microsoft

he was talking about @monk_agent in January

vc backed team, building for 12+ months -> about to launch agent trading platform on mobile & @baseapp

[Torus @torus_network]

♓️

[Arash @Arash_Directive]

Fun Fact:

Did you know you can buy 1000 $TORUS for only $280-ish right now?

Do you really think it's gonna stay this low for long?

Don't sleep on @torus_network, friends.

Don't say I didn't tell you. NFA

[Plata @platacrypto]

We've seen too many L1s try to crack an already broken code.
​
We need novel ideas that change how we view blockchain as a whole.
​
@nockchain is building something we've never seen before. 📃👇

First, bookmark this post for my latest crypto insights. 📚
​
So, what is Nockchain?
​
TL;DR Nockchain is a proof-of-recursive-proof zero-knowledge L1 developed by @ZorpZK. They fair-launched on May 21st.
​
Nockchain is backed by an experienced team with marketing backing from &OAK, known most notably for running campaigns with Mattel, DC, and National Geographic.
​
Let me break everything down for you. Proof of Recursive Proof is a useful Proof of Work (UPoW) scheme designed to secure Nockchain while also scaling it continuously.
​
They basically address two of the three major dilemmas of blockchain in one simple solution, and it is already showing its power, as you can see in the picture above.
​
Compared to $BTC miners, where the goal is to guess a random number to complete the next block, Nockchain miners provide useful work to the network.

We've already seen the sheer compute Bitcoin has been able to attract, and putting this compute to work is the next logical step for network scaling, yet no one has been able to crack this code until now.
​
There is a good reason why it has taken so long for this development to be made, and it mainly has to do with security. You give miners and developers far more power when making all computing useful.
​
Nockchain is taking a bold step here and is saying they trust those who build on their network to use this power for good.
​
While they wouldn't be able to compromise the chain, devs can do far more with smart contracts than we've seen before due to the access of tools provided to them.
​
Zorp, the developing for-profit treasury company behind $NOCK, envisions Nockchain as a scalable, programmable digital gold that combines Bitcoin's sound money principles with the lessons we've learned since its inception to improve the chain in every aspect they could.
​
Zorp's approach represents a new model for blockchain companies: rather than launching with massive pre-mines and guaranteed VC token allocations, they've chosen to bootstrap through fair mining and build sustainable businesses around the resulting ecosystem.
​
Since Zorp still needed to raise funds to build Nockchain, they took a novel approach. Instead of buying tokens, funds could buy into Zorp and receive 35% of the total $NOCK acquired by Zorp through mining and licensing, paid out every quarter.
​
I like this approach as it aligns funds with the vision of Zorp, who will lock their $NOCK from early mining for a year, after which it is subject to a 2-year vesting period.
​
In comparison to other recently launched PoW projects that faced massive problems from miners exploiting and farming the project to death, they innovated and increased the hurdle for "dumb compute" drastically. To be able to mine it, you have to be able to optimise and provide quality over quantity computing.
​
There was some initial FUD around this since there were tons of miners that bought vast amounts of Mac minis and thought they could throw computing power at it without any brain, even though the team announced beforehand that this was not possible.
​
Zorp is following a three-phase plan, which is depicted below.

$NOCK is set to become tradable on different chains and on Zorp's first product, which will be a DEX.
​
Zorp completed a $5M seed round led by Delphi Capital, a tier 1 VC with participation from North Island Ventures, CMCC Global, Portal Ventures, Champion Hill Ventures, Breed VC, Octu Ventures, and Labyrinth DAO.
​
For now, $NOCK is only tradable OTC or on https://t.co/qiSqvwiSF4. $NOCK is trading around a $18M circulating market cap with decent volume since inception and around 1.2b $NOCK out of 4.29B in circulation.
​
The team owns around 50% of the circulating supply, which will be locked, and this makes it effectively even less, and the real MC is around 9-10m MC.
​
Dilution rate is also slowing down and should be around 100% more circulating supply in 1 year, which is quite good, in my opinion.

$NOCK is still a very speculative product, but their team has been building their vision before Zorp's inception and is backed by strong players in both web3 and web2, which is a rabbit hole we can get into another day.
​
If Zorp can deliver, I believe $NOCK is a unique opportunity with a very promising R:R ratio at the current market cap. This project is in very early stages, though, so trading and newbie-friendly infrastructure are still rolling out. Be aware of risks around this.
​
I hope you enjoyed this post 🫡
​
I am planning on covering Nockchain more in the future, so make sure to follow me to never miss my insights.

[Noman_OnΞ @No_man_one]

$REI not the average project ngl

[Yoriichi Tsugikuni @YorichiiCrypto]

The Ultimate Torus One-Pager 🕸️

If I have to summarize $TORUS in a single sentence it would be : Tomorrow’s Tech at your fingertips today.

@torus_network is the only self-evolving L1 chain powered by AI agents in the entire crypto space.

Torus is far from being your typical fork, here’s why I have added it to my list of low caps for this super-cycle :

Network inception : 🕸️ Early 2025

Fair-Launched🎟️ : NO VCs, ICO, Pre-mine

Unique Value proposition ☝️ : Torus’ self-assembling AI swarm uses recursive delegation, allowing agents to seamlessly organize, hire sub-agents, and continuously evolve exceeding static smart contracts.

Tokenomics 💲: 50% in circulation & the remaining 50% will be put into circulation over the next 5 years.
EIP-1559-inspired concept that drives value: high usage —> burn mechanism, low usage —> fees cut,

The Team 🧠 : RenLabs, 15 member, 2+ years runway, dTAO paper influence.

Lucrative Staking💰: 6% APY no lock-up period.

We might be looking at the next $TAO sitting ~20m mc.

Creators to checkout for more Torus 🕸️ :

@platacrypto I @RuggedWojak I
@mikroweller I @JukovCrypto
@ai_bond_connery I @ThierryFX
@astral_eth_92 I @0xFitz I @unclebobcrypto I @EricCryptoman

Make sure to turn on the noti’s to stay up to date with the highest quality content on CT 🫡

[Silverennial d/acc @silverennial]

@0xleegenz @virtuals_io @prjx_hl @bsx_labs Check @torus_network, layer 1 that sits ontop of $virtusls

https://t.co/1craOqOxXn

[📖BoomerWojak📖 @RuggedWojak]

Boomer loves his $TORUS @torus_network more and more.

TORUS is not a Fork from COMAI but was build on fresh foundation.

They just used some Modules for COMAI as scaffolding while they build TORUS.

Only link is the migration from COMAI to TORUS.

50% of the supply is already in circulation and the remaining will be released over 33 years.

Easy to hold for me after knowing this.

[Marloo @marloo_bs]

Added more:

$TIG
$TORUS
$REI

> let’s see what the market brings us 🔮

[999 τill τhe wrld blows 🌍🕊 @StayxGrinding]

I still have the same theory - we will get another AI season and the most obvious leader of it will be $TAO and its easy to see why.

I still have my full bear market bag (+ staking rewards) and didn't sell a single $TAO yet.

It is known as $BTC but AI.
And thats also what retail can easily comprehend when they will arrive in masses later on this year imo. Additonally it will have institutional demand via ETFs.

So a reasonable outcome is that AI projects will be priced at multiples from here and are still severely undervalued.

If you were here last year, you know what that can do to beta plays.

$COMAI went parabolic back then.
So will $TORUS this time.
Strong fundamentals, solid team with funds, fairlaunch and approx. 20m marketcap.
Insane RRR.
This project should be fairly valued at least at 200m marketcap.
And it will eventually.

$QUBIC is also one of the best RRRs you can have prior to an altseason.
I have not sold a single $QUBIC and bought more when I posted about it last year.
Price went lower afterwards yes, but it was still a good opportunity.

If you did some research on the fundamentals and @c___f___b you know its likely going to a couple billion usd marketcap.
With approx. 300m mc here, it is a pretty solid RRR still.

$NOCK is the last one I am betting big on for the remainder of this cycle.
Not AI in particular - but outstanding fundamentals.
Fairlaunched, solid team, unique USP and approx. 20m marketcap here.
Can easily hit 200m+ imo.

I will revisit this post by 2026 - I am pretty confident that these bets can work out.

Patience.

[Rei @rei_labs]

Recent Learning Distribution Summary

We analyzed aggregated concept learning patterns across recent weeks, examining knowledge acquisition trends without attribution to specific queries or individual interactions and here’s what we found:

Primary Research Areas

Perpetual Trading Forecasting (32%) - Advanced quantitative modeling and predictive frameworks

Onchain Analysis (21%) - Chain data interpretation and behavioral pattern recognition

Macro Forecasting (19%) - Macroeconomic modeling and systemic trends

The leading two domains are experiencing substantial growth in API integration requests in contrast to other areas.

Complementary Disciplines

Coding (11%) - Implementation optimization and debugging

Gambling Theory (7%) - Probabilistic risk assessment

Scientific Research (6%) - Methodological scientific rigor

Medical Research (4%) - Statistical inference and pattern analysis techniques

Note: Encryption protocols ensure complete anonymity in our analysis. Individual queries and user identities remain protected, with only conceptual learning patterns accessible for aggregation purposes.