JΞFF🧸 (@JefferyCrypt) header
JΞFF🧸 (@JefferyCrypt) profile picture

@OKX Creator • DeFi, RWA, perps, prediction markets, AI · numbers guy in a narrative market 🦅 · onchain degen For Partnerships: https://nitter.cf/t.co/oALD9GzyfL

blockchain
Joined October 2012
Photo by JΞFF🧸 (@JefferyCrypt)Photo by JΞFF🧸 (@JefferyCrypt)Photo by JΞFF🧸 (@JefferyCrypt)Photo by JΞFF🧸 (@JefferyCrypt)Photo by JΞFF🧸 (@JefferyCrypt)Photo by JΞFF🧸 (@JefferyCrypt)Photo by JΞFF🧸 (@JefferyCrypt)Photo by JΞFF🧸 (@JefferyCrypt)Photo by JΞFF🧸 (@JefferyCrypt)Photo by JΞFF🧸 (@JefferyCrypt)
Market is going crazy over the Binance hack today. Meanwhile a7.biz is just running in the background, moving USDT straight to bank accounts like normal. Safe cross border payments without the chaos.
🤝 Paid partnership
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Two weeks after this went live, over $16M has gone into a $3.9M token sale with only hours left, and a $100 deposit gets the same percentage filled as a $1M one. Today’s the last day at the fixed $0.03 price, details on 1wintoken.com At over 4x oversubscribed, less than a quarter of your deposit goes into $1WIN and the rest comes back in USDC, with the price staying at $0.03 however much money comes in. More than 3,800 people have joined so far, for a token starting at a $30M FDV behind a casino that’s already up and running. After today the fixed price is gone and the market decides.
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1win Token SALE IS LIVE a historic day for us 1wintoken.com/?source=x&ad_c…
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Crypto's most profitable projects that still haven't airdropped
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JΞFF🧸 retweeted
The reason why the market is down only 2-3% after the biggest crypto hack in history is simple: there's no domino effect. Unlike FTX and other collapses, this won't trigger a chain reaction of bankruptcies, liquidations and further losses across the industry. Money was stolen from the world's biggest exchange. Binance has the funds to cover it. Nobody else takes the hit. Why would the market crash over an isolated incident involving the player with the deepest pockets in the industry? No contagion. No bankruptcy risk. No domino effect.
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Even after $3B was frozen, the Binance hack is still larger than all of this year’s other crypto hacks through September combined. Binance puts the total impact at around $6.3B, and about $3B of it has been frozen, mostly USDT and USDC, which leaves roughly $3.3B still out there, much of it in BTC and ETH that nobody can freeze. For context, CertiK counted 658 hacks in the first nine months of this year, about $2.7B stolen and roughly $2.26B actually lost once frozen and returned funds are taken out. So one attack, which Binance’s early investigation links to a compromised engineer’s laptop, has outdone all of them put together, and it’s about four times the old record from the Bybit hack last year. Binance says it’ll cover every loss from SAFU and its own funds, and it’s promised an updated Proof of Reserves, that’s the number I’ll be watching to see what this actually cost them.
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Solana got the speed, EVM got most of the builders, and apps usually have to pick one. @RomeProtocol takes that choice away by running EVM inside Solana, and it’s been live on mainnet since June. So someone with an EVM wallet and someone with a Solana wallet can use the same app and the same pool of money, each signing with the wallet they already have. And because it all runs on Solana, a Solidity app can plug into Solana apps in the same transaction, without moving anything across a bridge. That’s why the Solana vs EVM fight feels a bit pointless to me now, you don’t need to win it if you can have both.
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DeFi stablecoin lending now pays about the same as the Fed’s interest rate, except you’re taking smart contract risk to get it. DefiLlama’s rate across the biggest lending markets is 3.76% for lenders right now, while the Fed’s rate sits at 3.75 to 4%. It wasn’t always like this. In early and late 2024 lenders were earning over 12%, and both times it was during a bull run, traders were borrowing stablecoins to buy more crypto and paying up for it. So when lending rates are low like this, it usually means traders aren’t borrowing to buy, they’re sitting on their hands. And if you’re lending stablecoins at these rates, you’re carrying DeFi risk for a Treasury-style return, is that trade still worth it for you?
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Gold is down over 6% in a month, but the supply of Tether Gold is up 17%. That growth didn’t come slowly, it came in three big blocks between Sep 26 and Oct 7, about 107,000 ounces in total, which looks more like a few large buyers than a crowd. Then gold broke under $4,000 last week, and XAUT holders barely moved, only about $100K was redeemed from a token worth around $3B. PAX Gold grew just 2% over the same month, so almost all of that new demand went to XAUT. So most of the buying happened before the drop, and when the drop came, nobody rushed for the exit. Would you add gold here, or wait for it to bounce first?
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One Solidity contract, used by both Ethereum and Solana wallets. That is @RomeProtocol in one line. Right now, if you write in Solidity and want Solana users, you either rewrite your entire app or run two versions and split your money in two. With Rome, because it runs EVM natively inside Solana, you just deploy once: both types of wallets use the exact same pool of funds, and your contracts can plug straight into native Solana apps. What I like is how simple it makes things. Builders don’t have to pick a side anymore, you just build once and reach both crowds.
🤝 Paid partnership
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Claimed 12,720 base:0x5be75e3b0aff5d1a042a5363ae36acb1d6d755ea from the Axis Robotics campaign on @KaitoAI, worth about $4,200. I’m bullish on robotics, and that’s why I picked Axis out of all the campaigns on Kaito. I tried their browser simulator in August, kept posting what I learned, and finished rank 21 on the leaderboard. Getting paid to write about a sector I actually believe in is the best part. Thanks @axisrobotics and @KaitoAI.
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Forced trades happen because people hate seeing their money do nothing. GRVT 2.0 is built to fix that by letting your trading cash earn yield until you actually see a setup worth taking. They started the rollout today by permanently burning 1.1M tokens bought on the open market (about 1% of circulating supply), with more rounds intended monthly at the Foundation's discretion. Next up is Grvt Earn targeting up to 11%, followed by trading straight from that balance.
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It's Robotics Season.
Initial Listing - $AXIS @axisrobotics 🔹Pair: AXIS/USDT 🔹Deposit available: now 🔹Trading available: October 21, 13:00 (UTC) Details: bitget.com/support/articles/…
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We’re not the biggest prop firm, and we know there’s still a lot we can improve. But since 2023, we’ve been consistently paying traders and growing HyroTrader step by step. No outside investors. No massive marketing budgets. Just a team building a product we believe in. We’ve now crossed $9.1 million in payouts to traders. Some companies grow faster, attract bigger investors, or spend more on marketing. That’s fine. We’re focused on building something that lasts. We believe the same principles that make a good trader also make a good company: discipline, consistency, and continuous improvement. We’re here for the long run.
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Crypto spent years getting ready for quantum computers, but this year AI started finding the cracks first. May: A researcher using AI found a bug hidden in Zcash code for around four years that could have allowed unlimited fake ZEC. July: Anthropic’s AI found a flaw in HAWK, a quantum safe signature under review, and its own creators pulled it from NIST’s review. October: Justin Drake warned AI math might crack wallet signatures before quantum computers do, but Coinbase’s head of cryptography called that pure FUD. October: Vitalik said there is a good chance lattices, the math behind many quantum safe designs, take big hits from AI over the next two years. Then over the weekend, a16z made the case for building on lattices, and Starknet’s Eli Ben-Sasson pushed back, saying wait 3 to 5 years and let AI test them first. Vitalik’s take is that Ethereum shouldn’t pick a single winner at all. His proposal lets people use whatever signature they want and bundles them into one proof, so the network isn't trapped if AI exposes a crack in one scheme. Honestly, that feels like the right move. Nobody knows which math will survive, so why bet everything on just one?
Ultimately, precompiles and EVM are both the wrong place to put most cryptography support into Ethereum. The reason is that precompiles and EVM both operate on data that has to be included into the ethereum chain somehow, which realistically means included in a block as calldata. That space is limited - even with PeerDAS and blocks-in-blobs, there's a practical cap of ~8 MB/s before it starts getting uncomfortable. Remember: it's not a blockchain. It's a cryptographic world computer. Any data/computation that does not need to be in the "main thread" of data/execution should not be put into the main thread. Instead, the correct solution is... EIP-8288 maximalism. If you have any heavy computation that's self-contained, compute it and STARK it client-side (this is quickly getting faster and faster, even on phones), and push the STARK through the EIP-8288 recursive aggregation mechanism. The chain sees the fact that the computation was done and what the result is; it never needs to see the actual data and computation. This way everyone can use whatever cryptography they want, the Ethereum chain can be lean, and we never need to add more precompiles again.
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A lot of people won’t let an AI manage real money until they’re sure it can’t do something reckless overnight. The real challenge with trading bots isn’t making them smart, it’s putting guardrails around them so they don’t blow up your account. Looking forward to this chat today at 11:00 AM UTC with @HouseofChimera and @michaelh_0g from @0G_Labs.
What would it take for you to trust your AI to trade while you sleep? Join us and @michaelh_0g from @0G_Labs tomorrow to talk: 🔹 What AI agents need from a blockchain 🔸 Infrastructure for autonomous activity 🔹 What’s already shipping on 0G Tune in here 👇 nitter.cf/i/spaces/1yJAPwWbqbaGb…
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Interesting to see a platform that’s been running for years launch a token at a modest valuation. 1win has been operating since 2016, with $139M+ in onchain deposits over the last 30 days alone. Now the @1winToken public sale is officially live: • $0.03 per token ($30M valuation) • Sale tokens 100% unlocked at launch • 10% of revenue going to buybacks and burns • Oversubscription model, unused USDC refunded Check it out at 1wintoken.com (Excludes restricted countries)
🤝 Paid partnership
1win Token SALE IS LIVE a historic day for us 1wintoken.com/?source=x&ad_c…
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Getting funded used to mean weeks of passing phases, now it can happen in one trading day. @hyrotrader_com just launched the Zero-Step Challenge, the fastest route to funding they offer. There’s no second phase, no five day wait and no consistency rule. Hit the 10% target, stay inside the risk limits, and you can be funded after as little as one trading day. It starts at $89, and with my code it comes down to $80. The limits are tighter than their other challenges, 3% daily drawdown and 5% max loss, so this one is built for traders who already trust their strategy and don’t want to wait around to prove it. Payouts come in USDT or USDC within 24 hours. If that’s you, here’s my link: hyrotrader.com/?coupon=JEFFE…
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More tokenized SK Hynix changed hands in a single day than actually exists onchain. Only $28.2M of SK Hynix exists as tokens, yet $30.6M traded in 24 hours as the same tokens moved back and forth. The heavy turnover came as the stock dropped 9% on the day (and 21% on the week) after China’s CXMT showed progress on server memory chips. Comparing trading volume directly to tokenized supply is a simple way to see market activity: - High volume-to-supply means tokens are actively turning over - Low volume-to-supply means they mostly sit idle During this selloff, the turnover stood out across the big chip names: - SK Hynix: traded over 100% of its tokenized size - Nvidia: traded about two thirds - Micron: traded over half You can check these numbers side by side for any sector on @coingecko: coingecko.com/en/stocks/sect…
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This makes more sense when you look at the study @axisrobotics shared last week. They added all 1,200 of their simulation runs to a real robot’s training, and success only got to 26%. When they picked the right 600 instead, it jumped to 86%. So it’s not more data that helps a robot, it’s the right data. To me, that’s what the Challenger program is about. The badges go to people who keep delivering quality work, and they come with harder tasks and boosted rewards. If you’re farming Axis, check your portfolio for the badge, and focus on doing tasks well, not just doing more of them.
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New Challenger spots are now available. As we introduce more advanced tasks, we’re expanding access for contributors who consistently deliver high-quality data. Challenger badges are awarded automatically based on contribution quality and current data collection needs. There’s no manual application process. Check your portfolio to see if you’ve received a Challenger badge.
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