markets rarely destroy people because they lack information.
they destroy people because emotion enters between decision and execution.
same chart,same opportunity.
one trader hesitates, the other executes.
that gap changes everything.
@HyprEarn is building for that gap.🧵🔻
@sndcapp needs some decent KOLs for their collab campaign tomorrow, so let me drop myself first,
If they're looking for quality engagement, community building, and consistent support, I'm available.⇣
@sndcapp needs some decent KOLs for their collab campaign tomorrow, so let me drop myself first,
If they're looking for quality engagement, community building, and consistent support, I'm available.⇣
launching a Zealy activation campaign for partners on @sndcapp tomorrow – looking for reliable KOLs and promoters who can bring in real users, not bots
we pay in $USDT and prefer performance-based collabs over flat rate per post
DM me or tag someone reliable in the comments 👇
Good infrastructure reduces defensive behaviour. Speed matters most when it changes what a trader or builder can assume by default.
And Fogo allows you to assume 40ms blocks. And more.
🤝 @CherryServers joins TheHUB as the first bare metal computing partner!
Together, we're creating the new standard of trading infrastructure. High-performance, builder-first rails where crypto markets and traditional finance converge.
Much more to come.
ai is here to save you.
but the companies running these models?
they might not be saving you at all.
before you come for me in the comments, spare me 3 minutes.
especially if you’re a developer or the founder of a dataset company.
this one’s for you.
and it’s something big ai companies don’t want trending ▼ ( ^^ )
every time a model gets smarter, it’s because someone’s data fed it.
either through research papers, medical records or financial datasets.
a person or group of persons trained the model.
and the companies sitting on top of that pipeline?
they keep the bag.
you get a citation at best or even worse you get nothing at all.
this is happening inside an industry projected to hit $738 billion in software revenue by 2030 and the people whose data actually made those models possible are still watching from the outside. (ಥ﹏ಥ)
that changes the moment your dataset touches @ClusterProtocol
not through a pitch deck.
… through a smart contract that doesn’t negotiate.
here’s what actually happens when you upload a dataset on cluster:
⪼ your data gets stored on ipfs, decentralized storage, meaning no single company can delete it, hide it, or quietly take it down.
⪼ then it gets minted as an nft on base making it verifiable, onchain proof that this dataset is yours. not theirs but yours.
⪼ and from that point? every purchase triggers an automatic split locked at the contract level, with no middleman to reroute it.
85% goes straight to you.
10% to the protocol treasury.
5% to whoever referred the buyer.
that split cannot be changed.
not per transaction. not ever.
but here’s where it gets even more interesting.
let’s say you upload a medical dataset.
a developer buys it and uses it to fine tune a custom ai model on cluster.
that model goes live on the api.
so now, every time someone calls that model you earn.
not just from the original dataset sale.
from the downstream inference calls too.
your data keeps working. long after you uploaded it.
so it’s not just the big dogs eating anymore.
for the full breakdown of how cluster protocol works, read the article in the quote.
what if the biggest thing missing from web3...
isn't better technology, tokenomics or even better games?
what if it's belonging?
because after years of mints, launches, staking systems, and reward programs...
most people still feel like visitors.
#5thKingdomThreadContest
🧵