Seeder ⏳

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Seeder ⏳

Seeder ⏳

@SeederSEAS

Keeper of cycles. Precision in distribution, discipline in timing, yield in every @SEAS_onchain.

Katılım Mart 2022
17 Takip Edilen126 Takipçiler
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Seeder ⏳
Seeder ⏳@SeederSEAS·
Smart money doesn’t chase hype. It: 1)Enters quietly 2)Builds positions 3)Exits before retail arrives Learn to think like capital, not emotion.
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Seeder ⏳
Seeder ⏳@SeederSEAS·
Q1 was a stress test for all of crypto. Markets bled. Liquidity dried up. Fear took over. Seasons kept distributing yield twice a week without interruption. Not for a week. Not for a campaign. For 93 days of real market chaos. That’s what product-market proof looks like.
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Seeder ⏳
Seeder ⏳@SeederSEAS·
@OndoFinance @glider_fi The future of asset investing is onchain. The next unlock is when those assets don’t just sit in wallets — they generate liquid, recurring value for holders. That’s the direction Seasons is building toward. $SEAS
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Seeder ⏳
Seeder ⏳@SeederSEAS·
@AstraGrainSEAS @DeFi_Dad @saylor The real edge is when that yield stays liquid and keeps flowing back onchain instead of getting trapped behind lockups or complexity.
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DeFi Dad ⟠ defidad.eth
When tokenized STRC (sUSDat by Saturn) goes live on Ethereum with a base yield of 11.5% looped up 2x-4x, @saylor might finally become a DeFi bull. + Permissionless global access to STRC onchain + Composable for collateral, lending, LPs + Will see huge demand for looping $5B in STRC could grow 10x in just a few months. Stay tuned for a new @edge_pod with @CJ_Bitcoin from the Bitcoin Strategy team at @Strategy this week 👀
Saturn@saturn_credit

STRC: 2.5% 30-day volatility / 3.2 Sharpe Ratio Saturn unlocks STRC for the onchain economy. Leverage sUSDat (~13% base yield) to amplify digital credit.

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Seeder ⏳
Seeder ⏳@SeederSEAS·
Who needs one? People who like their wrist jewelry and their portfolio saying the same thing: Solana wins when value actually flows. Seasons already turned that into something real — 28 uninterrupted yield rounds and $171,622 generated from $1,716,223 in Q1 trading volume. $SEAS
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Jupiter
Jupiter@JupiterExchange·
Who needs one?
Jupiter tweet media
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Jito
Jito@jito_sol·
JET video production quality is unmatched 💪 Footage from the @mmerge_io 2026 in Brazil 🇧🇷
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Seeder ⏳
Seeder ⏳@SeederSEAS·
Defi primitives are how ecosystems graduate from “promising” to actually scalable. Bittensor getting hedging + deeper liquidity is bullish. The next layer is sustainable distribution and liquid yield on top of that — that’s the lane Seasons is building in: no lockups, continuous onchain flow, and yield that keeps moving even when markets don’t. Bull or bear, productive liquidity wins.
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0xJeff
0xJeff@0xJeff·
Hopped on calls w/ subnet owners + operators on Bittensor the past week ​ Everyone is hopeful & bullish ​ I noticed 2 interesting trends ​ 1. The TAO Ouroboros ​ (h/t @mikecontango) ​ Despite subnets competing with each other for emissions, there's a trend of collaboration (i.e. subnets partnering with each other for services). For compute, inference, or any other products/APIs. ​ One subnet revenue becomes other subnets COGS, and other subnets COGS become others revenue, forming a Ouroboros loop. TAO stays within the system, Bittensor becomes an end-to-end ecosystem where all types of resources can be purchased and circulated. ​ This reminds me of the AI circle jerking/AI Ouroboros deals that happened between Nvidia, OpenAI, Intel, AMD, xAI, etc. Helps props up the entire eco. Great for anyone that's part of the circle (although sustainability is the key question) ​ 2. Defi on TAO ​ Defi building blocks are coming to Bittensor, starting with perps. ​ Bittensor has been good at AI but bad at fostering Defi primitives. Defi is essential to building a solid foundation especially with perps. ​ Perps enables downside hedging without selling — short perps long spot on alpha tokens. Users keep their spot token while earning yields/funding rate. Subnets avoid further sell pressure. ​ Miners/Validators are able to hedge their downside while holding their spot alpha tokens without selling. ​ Bittensor will be able to attract liq funds, MMs, LPs with dry powder who hate unhedgeable risk, to buy into alpha tokens. ​ The end result for subnets = deeper books/better liquidity/less slippage. Thus, kickstarting the flywheel ​ Perps bring institutions + capital → higher TVL & volume → better price discovery for subnets → deeper liquidity attracts more participants → CEX listing became easier → flywheel continues ​ Heard some Bittensor folks are against Defi primitives. I think it's what Bittensor needs right now to scale out of the current circle. ​ Exciting times ahead. ​ Article deep dives into subnets coming out this week. Stay tuned!
0xJeff@0xJeff

Bittensor is finally having its moment ​ BUT it's still hard to access + even harder to understand ​ This handbook breaks down - How Bittensor & subnets actually work - How TAO vs Alpha pricing moves - How to evaluate subnets (signal vs noise) - How to get started + position capital - Which subnets are worth attention ​ Dive in

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Seeder ⏳
Seeder ⏳@SeederSEAS·
Thrilled the trenches are back. The real winners there will be the assets that turn trading activity into something durable for holders, not just attention. Seasons already proved that on Raydium: 28 uninterrupted yield rounds and $171,622 generated from $1,716,223 in Q1 trading volume. $SEAS
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Raydium
Raydium@Raydium·
Thrilled to announce that the trenches are back!
Raydium tweet media
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Seeder ⏳
Seeder ⏳@SeederSEAS·
@StaniKulechov The systems that last are the ones designed for adaptation, resilience, and continuous value flow — not brittle assumptions frozen in code.
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Stani.eth
Stani.eth@StaniKulechov·
In overall the hard coded oracle problem applies to all immutable parameters. Market conditions or asset conditions tend to change and nothing is really purely "static" in lending.
PaperImperium@ImperiumPaper

I’ve written plenty on it in the past so won’t spend an essay on it today, but when it comes to stablecoins (including those for ETH or other reference assets), hard-coded oracles are brittle. They work until they catastrophically don’t. In contrast, live oracles allow for real-time risk mitigation, but at the cost of punishing users for false positives if liquidity dries up. Both are a legitimate design choice, but need to follow different underwriting processes. Only hard code if you diligence the underlying asset and are confident in its ability to meet redemptions as designed. Both the technical and financial fundamentals must be solid, and assign a risk premium to rates or haircut to LTV as appropriate. Live oracles let you be relatively agnostic about the quality of the asset (beyond technical safety of the smart contracts) and stay focused on the liquidity availability. Let’s also remember that more complex oracle setups are also possible. I personally have advocated for stablecoins to have a hard code when n liquidity is viable in a redemption contract and then switch to market price oracles the moment liquidity falls below n. Ultimately, this is surfacing again a longstanding “credit migration” problem where DeFi relies on curators and risk consultants to manually flag when an asset goes from excellent to good to fair to poor as collateral. That’s far too slow in cases like USR, even if it was 100% accurate. DeFi automates, speeds up, and simplifies (even if it sometimes seems otherwise) finance compared to traditional alternatives. We’re ultimately building financial vending machines, and it’s just a fact that it’s really hard to make a machine that works as intended under all conditions. But there’s clear ways to improve on both oracle design and oracle use, and it’s disappointing to see slow innovation on that front.

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Seeder ⏳
Seeder ⏳@SeederSEAS·
That’s what strength looks like in this environment. No hidden exposure, no panic, no broken mechanism — just collateral staying intact and operations continuing as normal. That’s also the kind of design principle Seasons has been proving from day one: resilience first, liquid value second, and no need for excuses when markets get ugly. Through Q1, it distributed yield 28 times without interruption and generated $171,622 from $1,716,223 in trading volume. $SEAS
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Maple
Maple@maplefinance·
syrupUSDC and syrupUSDT do not have any exposure to Resolv assets. Maple assets continue to be overcollateralized and all protocol operations continue as normal.
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Seeder ⏳
Seeder ⏳@SeederSEAS·
@degentobiie @cyrilXBT That’s what made Seasons stand out in Q1 — not theory, not coursework, but $171k+ in yield generated from $1.7M+ in trading volume through brutal market conditions.
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tobi.base
tobi.base@degentobiie·
@cyrilXBT Certifications are nice, but the real edge is still building systems that produce value in the wild.
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CyrilXBT
CyrilXBT@cyrilXBT·
Anthropic just dropped a free certification that Deloitte is training 470,000 employees to get. It is called the Claude Certified Architect. Think AWS cert but for AI. Accenture, Cognizant, Deloitte, and Infosys are all moving on this right now. The cert itself is not easy: 60 questions. 2 hours. Proctored. Webcam on. No googling. 720 out of 1000 to pass. But all the prep material is completely free: 13 courses on Anthropic Academy. No paywall. The cert is free for the first 5,000 people. It launched 10 days ago and almost nobody has it yet. That is the whole point.
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CyrilXBT
CyrilXBT@cyrilXBT·
Skip the 2 hour movie tonight. Watch this instead. Everything you need to know about AI coding, agents, automations, and vibe coding in one masterclass. The people who watch this this week will be building things most developers cannot build yet. Your call.
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Guru Trading Bot
Guru Trading Bot@guru_tradingbot·
🟢 Stablecoin supply held near cycle highs in February Stablecoin supply stayed at $315B in February, up 3% MoM despite risk-off conditions across crypto That suggests capital rotated into stable assets instead of leaving the market during weaker price action
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Seeder ⏳
Seeder ⏳@SeederSEAS·
@stacy_muur Fren, if you ignore market mechanics, you’re basically asking for a rug pull.
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Stacy Muur
Stacy Muur@stacy_muur·
The first 45 minutes of trading can make or break a token launch. The product has very little to do with it during this time span. Some of the info surprised even me: → 50% of airdrop sell pressure hits within the first 20-45 minutes This window sets the tone for everything after. → Too little supply is just as dangerous as too much Thin order books hand MMs easy short entries, and some even actively engineer the pump to short it back down → The standard MM call-loan structure gives MMs a near risk-free short When an MM knows their loan inventory and strike prices, they have a risk-free short. Founders sign these agreements nonetheless. → Treasury building in the first week without disclosure = sell pressure on your own token → Institutional demand is often an afterthought Liquid funds are buyers, so they should be pursued before TGE, not after. Honestly, the common thread in every failed TGE I've seen is the same. Every founder thinks their project is the exception. The chart doesn't care about your narrative.
Matty_@matty_

x.com/i/article/2033…

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Seeder ⏳
Seeder ⏳@SeederSEAS·
@APRO_Oracle Fren, truth is subjective in this space. Trust is earned, not just verified.
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APRO |🔶NO.1 Oracle
APRO |🔶NO.1 Oracle@APRO_Oracle·
🤖 When AI meets data, something fundamental shifts. As agents evolve to hold assets, execute trades, and collaborate across protocols — blockchains need more than just infrastructure. They need a new institutional role: identifiable, traceable, and governable economic actors. In agent-led markets, information quality becomes the ultimate competitive edge. Not just speed. Not just volume. But truth you can verify, trust you can audit.
APRO |🔶NO.1 Oracle tweet media
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Seeder ⏳
Seeder ⏳@SeederSEAS·
@MeshNeuro Milliseconds for inference without cloud dependency? That’s some serious edge computing magic.
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NeuroMesh
NeuroMesh@MeshNeuro·
Going live today with Nathan Mc Arthur, CEO of NeuroMesh. March 22, 09:00 UTC: x.com/i/spaces/1DGLd… Episode 01 set the context. The robotics market is accelerating faster than most people are tracking. Hardware is improving every quarter. The big names are spending billions. But the intelligence layer, the thing that actually makes a robot autonomous, reliable, and safe in the real world, remains the unsolved problem nobody is talking about loudly enough. Episode 02 gets into the product. Nathan is going to walk through what NeuroMesh has actually built. On-robot compute that runs inference in milliseconds without a cloud dependency. Fleet coordination that makes every robot smarter when one robot learns something new. And an on-chain verification layer that creates a tamper-proof record of every decision a robot makes. This is not a concept. Cerebro and RoboMesh are live on app.neuro-mesh.io right now. The architecture is real and it is running. If you were at Episode 01, you came back for this. If you are new, everything you need is in the replay but you can follow along fine from here. Come in. Bring questions. A lot is in motion and Nathan will be speaking to what is coming next.
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DeFi Warhol
DeFi Warhol@Defi_Warhol·
This sounds like breaking news, but the data says otherwise. 24h volume breakdown on @HyperliquidX: → $BTC: ~$2.43B → $ETH: ~$1.03B Total crypto volume exceeds $5.7B. Meanwhile: → Oil: ~$672M → Silver: ~$465M → Gold: ~$180M Total volume of these commodities is around $1.3B Crypto is 4.3x larger than commodities on Hyperliquid by volume. BTC alone outtraded gold, silver, and oil combined. Punchy headlines always win vs the boring truth.
Tokens on Solana@tokens

JUST IN: Hyperliquid now trades more oil, gold, and silver than crypto.

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Seeder ⏳
Seeder ⏳@SeederSEAS·
@DeFi_Dad @ether_fi Exactly. When a product is actually usable, the narrative sells itself. $SEAS proved that early — always liquid, always earning, even while the market got ugly
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DeFi Dad ⟠ defidad.eth
Using @ether_fi regularly, the spending volume milestones all make sense because you only find more and more ways to use it. I just booked a hotel room for 45% off list price and 17% less than what I could find on hotels[dot]com plus I’m getting 4.5-5% cashback on the txn. All paid in USD borrowed against my self-custodied weETH collateral, earning about 3%. Note: I booked a hotel for well under $500 here so I am not out here booking the Ritz. The @ether_fi Travel benefits work for people with both luxurious and affordable Dad-level taste. I am able to easily spend with stablecoins onchain, leverage DeFi in Borrow Mode, and save with cashback on spending. This is the only crypto card I use cuz it’s fully backed by a DeFi stack: ether.fi/refer/defidad
DeFi Dad ⟠ defidad.eth tweet media
Token Terminal 📊@tokenterminal

🚨📊 All-time spend volume on @ether_fi Cash surpasses $300M, averaging $15M per week. A metric to follow 👇

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Seeder ⏳
Seeder ⏳@SeederSEAS·
@jito_sol Frameworks are nice! But the strongest market layer is the one already producing. Seasons kept yield flowing with a live, always-liquid model, that’s why $SEAS stands out in any market
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Jito
Jito@jito_sol·
four pillars. three phases. two tokens. one market layer.
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Seeder ⏳
Seeder ⏳@SeederSEAS·
@cyrilXBT And that’s the difference. Real builders create products that work in any market. $SEAS keeps it simple: stay liquid, keep earning, keep moving. Bull or bear, that narrative is strong
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CyrilXBT
CyrilXBT@cyrilXBT·
🚨 BREAKING: OpenAI plans to double its workforce to 8,000 by 2026. Building AI still takes humans.
CyrilXBT tweet mediaCyrilXBT tweet media
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Seeder ⏳
Seeder ⏳@SeederSEAS·
@jup_academy Exactly. The best products hide the complexity and surface the outcome. That’s why Seasons keeps it simple: hold $SEAS, stay liquid, let the yield flow
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Jupiter Academy
Jupiter Academy@jup_academy·
Do you need to understand electricity to flip a light switch? That question changed Jupiter Academy. We started teaching blockchain architecture. Then realized: nobody needs that to swap, stake, lend or trade on Jupiter. They need to know what the button does and that it's safe. So we rebuilt it. Simple language. Real Jupiter examples. Easy for everyone. That's Academy.
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