Svitinskiy

2.2K posts

Svitinskiy banner
Svitinskiy

Svitinskiy

@Sweetinskiy

AI Creator 🎨 | Motion Designer 👨🏻‍💻

Katılım Ekim 2021
2K Takip Edilen319 Takipçiler
Sabitlenmiş Tweet
Svitinskiy
Svitinskiy@Sweetinskiy·
Experimented with a mobile app promo concept for @Polymarket . UI motion, screen recordings, and clean fintech-style editing. Always learning, always improving. 🎬
English
3
2
11
366
Svitinskiy
Svitinskiy@Sweetinskiy·
@Niyo_nft 0xCcb4C24E2CFaB4CA500b9A44Caa8A2350acBD08e
Português
1
0
0
42
NIYO 𝗙𝗥𝗘𝗘𝗠𝗜𝗡𝗧
⛩️ 𝗖𝗛𝗔𝗣𝗧𝗘𝗥 𝗜 — 𝗔𝗪𝗔𝗞𝗘𝗡𝗜𝗡𝗚 ⛩️ 𝗧𝗵𝗲 𝗰𝗶𝘁𝘆 𝗵𝗮𝘀 𝗯𝗲𝗲𝗻 𝗮𝘀𝗹𝗲𝗲𝗽 𝗳𝗼𝗿 𝘁𝗼𝗼 𝗹𝗼𝗻𝗴. 𝗧𝗼𝗻𝗶𝗴𝗵𝘁, 𝘁𝗵𝗲 𝘀𝘁𝗼𝗿𝘆 𝗯𝗲𝗴𝗶𝗻𝘀 𝗗𝗿𝗼𝗽 𝘆𝗼𝘂𝗿 𝘄𝗮𝗹𝗹𝗲𝘁𝘀 𝗯𝗲𝗹𝗼𝘄
NIYO 𝗙𝗥𝗘𝗘𝗠𝗜𝗡𝗧 tweet media
English
491
185
1.1K
17.4K
Narcobubs
Narcobubs@narcobubs·
wl = free mint who wants? drop evm wallets
Narcobubs tweet media
English
237
44
168
1.7K
Svitinskiy
Svitinskiy@Sweetinskiy·
@TOXA_CNPHNK Paying $32k a year per seat just to read data without testing latency first is a legacy scam. Pyth Terminal completely nukes this model by making transparency the default. Having flat institutional tiers accessible via API is a massive disruption, ngl.
English
0
0
1
50
toxacnphnk.eth
toxacnphnk.eth@TOXA_CNPHNK·
Bloomberg charges $31,980 per seat per year in 2026. Single user. Multi-seat deployments get a discount down to $28,320. The contract minimum is 2 years. There is no public pricing page. There is no trial for individual users. There is no month-to-month option. You request a demo, you talk to sales, you sign a multi-year contract, and only then do you actually see the product you've been paying for. I want to spend a minute on that last part because nobody is unpacking what it means. Bloomberg is a $13 billion annual business built on the assumption that you cannot evaluate the product before purchasing it. The entire moat depends on opacity. You can't see how the data is constructed. You can't see which exchanges contribute to which feeds. You can't compare specific instruments against alternative sources. You can't test latency on your specific use case. You commit first, then learn. That model worked for 40 years because nobody had a credible alternative. Now Pyth just published one. The Pyth Terminal launched this week at app.pyth.com. 3,000+ live price feeds across crypto, equities, FX, and commodities. Free tier with no API key. Charts updating tick by tick. Publisher level transparency where you can toggle individual data sources on and off and see exactly how each feed is constructed. Paid tiers starting at $500 per month for crypto and going up to $10,000 per month for the full library across every asset class. Public pricing. Public tiers. 14 day free trials on every paid plan. Now read that pricing sentence again. $500 per month at the bottom. $10,000 per month at the top. Bloomberg's perseat cost is roughly $2,665 per month with a 2 year minimum. The Pyth equivalent for serious institutional coverage is roughly the same monthly number for the entire firm, not per seat, accessible by API rather than a single locked-down terminal application. The economics here are not a 10x improvement over Bloomberg. The economics are a complete reorganization of how market data is priced and distributed. But the part that actually matters is the transparency. Pyth's pitch is "see the data before you pay for it". That single design choice (let users evaluate freely first, only charge when they're ready to build on top) is the kind of structural shift that doesn't get reversed once it ships. Bloomberg cannot copy it because their entire revenue model depends on the democall first funnel. This is what infrastructure disruption looks like when it actually starts working. Not aggressive marketing. Not lower prices. Just removing the abstraction layer that protected the incumbent's pricing power and letting the data speak for itself. Walk through the front door. Pyth opened it. @PytheniansNFT @PythNetwork @sleepagotchi
toxacnphnk.eth tweet media
toxacnphnk.eth@TOXA_CNPHNK

Cocoa hit an all-time high of $12,931 per ton in December 2024, then crashed 61.9% to $4,924 by November 2025. As of last week it sits around $3,800. That's a single soft commodity going through a complete bubble and crash cycle in 11 months, with weekly moves of 8-10% in either direction triggered by Ivory Coast weather reports. And until this week, you couldn't trade that volatility on-chain with a reliable price feed. Pyth just added Cocoa, Coffee, Raw Sugar, and Live Cattle futures to Pyth Pro. ICE softs and CME livestock. That sounds boring on first read. It is genuinely not boring once you look at what's been happening in these markets. Coffee is rallying on dry weather in Brazil and Vietnam. Sugar correlates with crude oil because Brazilian sugarcane is dual-use as ethanol feedstock, so every Iran headline moves sugar futures. Live cattle is one of the most tariff-sensitive contracts in the entire CME complex, with every trade war headline rippling through US beef pricing within minutes. These aren't sleepy agricultural markets anymore. They're some of the most actively traded contracts in the entire macro environment right now. Hedge funds run dedicated soft commodity desks. Macro funds use livestock as a tariff proxy. Climate funds short cocoa as an El Niño hedge. And every single one of those trading desks operates from Bloomberg terminals with data licenses that cost five to six figures a year per seat. Now think about what onchain access to these prices unlocks for builders. Prediction markets on the next cocoa harvest. Perpetual futures on coffee for crypto-native traders who don't have ICE accounts. Structured products that bundle commodity exposure with crypto. Insurance contracts that pay out based on agricultural price thresholds. Yield products that hedge stablecoin yields against soft commodity inflation. None of these existed before institutional commodity feeds came onchain. Now the data is there. The market discovers the products. Pyth Pro now sits at 3,000+ price feeds across crypto, equities, FX, commodities, and metals. One subscription. One API at pythdata.app. From BTC to beef cattle. The legacy data vendor model is a toll booth where every category of asset requires a separate license, a separate contract, a separate dataset, a separate seven-figure relationship with Refinitiv or Bloomberg. Pyth is collapsing that entire architecture into a single endpoint. The price of everything is coming onchain. One feed at a time. You don't notice infrastructure shifts like this in real time. You notice them three years later when an entire category of products exists that didn't exist before. When Pyth adds @sleepagotchi data. I need a sleep quality chart from sleepagotchi.

English
21
3
40
454
Beginnersblog
Beginnersblog@beginnersblog1·
This is one of my best AI-short films I've created in 10 hours. Still need to put a lot of work to finish this project.
English
87
92
862
43.8K
Svitinskiy
Svitinskiy@Sweetinskiy·
@andrpantus @PythNetwork Facts. Macro volatility is expanding like crazy, and legacy infrastructure just can't keep up. Having 3,000+ institutional-grade feeds under one API completely rewrites the rules for onchain builders. Pyth is built different fr fr.
English
1
0
1
58
andrpantus
andrpantus@andrpantus·
People still underestimate what @PythNetwork is actually building Adding Cocoa, Coffee, Raw Sugar, and Live Cattle futures may sound like “just more feeds”, but this is exactly how financial infrastructure expands — one market at a time Pyth Pro now covers soft commodities, grains, livestock, energy, and metals under a single API. From BTC to beef cattle, one subscription now gives access to 3,000+ institutional-grade price feeds across crypto, equities, FX, commodities, and metals And the timing matters. Tariffs, supply chain fragmentation, and climate volatility have pushed commodities back to the center of global macro trading, which means bringing these markets onchain is no longer niche infrastructure — it’s becoming essential for the next generation of prediction markets, perpetuals, and structured products What’s most interesting is how fast this expansion is happening. Pyth crossed 1,000 onchain feeds earlier this year, and the Pro catalog has already tripled since then, adding equities, energy, metals, softs, and livestock within months This no longer looks like a crypto oracle network It looks like the market data layer for everything The price of everything is coming onchain, one feed at a time
andrpantus tweet media
English
18
1
25
298
Svitinskiy
Svitinskiy@Sweetinskiy·
@NNymphs Most people look at 3,000 feeds and think it's just about crypto and some tech stocks. They completely miss the macro scale. Pyth is literally indexing the physical and financial world to run on-chain. Insane breakdown.
English
0
0
0
66
Nymphs🙈
Nymphs🙈@NNymphs·
There's a single phrase Pyth keeps using in their messaging and I want to spend a few minutes explaining why it matters more than most people are reading into it. "The price of everything is coming onchain. One feed at a time." On the surface this sounds like marketing copy. It is not. It's a mission statement, and it's one of the most ambitious statements any infrastructure project in crypto has made in years. Let me unpack what "everything" actually means in the context of global financial markets. There are roughly 200,000 actively priced instruments in the global financial system. Every equity on every major exchange. Every government bond on every issuer. Every corporate bond with active secondary trading. Every major FX pair and cross. Every commodity futures contract on every major exchange. Every meaningful ETF. Every major REIT. Every active derivative on any of the above. Every cryptocurrency with non-trivial liquidity. Add to that the long tail: private equity valuations, real estate price indices, art market estimates, intellectual property valuations, carbon credit prices, weather derivatives, freight rates, electricity prices by grid region, water rights, and dozens of other markets that price continuously somewhere but don't show up in retail data products. Total addressable price feed universe: roughly 200,000 to 500,000 instruments depending on how you count. Pyth Pro currently has 3,000. That's roughly 1% of the addressable universe. Now here's the part that should reshape how you think about this project. The growth rate is not linear. Pyth shipped 1,000 feeds by early 2025 and tripled the catalog in about 15 months. New feeds are launching weekly. Each new asset class added (livestock last week, energy a few months ago, equities earlier this year) opens an entire new category that gets densely populated within 6 to 12 months. If the cadence continues, Pyth Pro reaches 10,000 feeds within 18 months, 30,000 within 4 years, and approaches the full addressable universe sometime in the next decade. That timeline sounds long until you realize what that endpoint actually means. It means a single onchain endpoint, accessible to any developer, anywhere, with no enterprise contracts, that returns institutional-grade pricing for every meaningful financial instrument that humans trade. With first-party publishers. With confidence intervals. With cryptographic verifiability. At a fraction of the cost of any legacy data vendor. That is not an oracle. That is the global pricing layer. If Pyth executes this mission to even 30% completion in the next decade, the entire architecture of how the world prices assets shifts. Every fintech, every neobank, every retail brokerage, every DeFi protocol, every quantitative fund, every pricing-dependent application in any vertical becomes a potential downstream consumer of a single onchain endpoint. That's a $40 billion industry being slowly reorganized around a single piece of infrastructure. Not in months. Over years. Quietly. One asset class at a time. Last week the asset class was livestock and softs. Next week it'll be something else. The week after, something else again. Most of crypto is still trying to figure out which token will pump in the next 30 days. @PythNetwork Pyth is building the pricing layer for the next 30 years. Watch what gets shipped. Count what gets added. The thesis is in the cadence. The price of everything is coming onchain. Live cattle was just one feed in a very long list.
Nymphs🙈 tweet media
Nymphs🙈@NNymphs

the largest token unlock in Pyth's history just happened on May 19. 2.13 billion PYTH. roughly $94 million in fresh supply. 36.96% of the entire circulating supply hitting the market in a single cliff release. if the protocol had nothing under it, this is the kind of unlock that ends projects. i've watched dozens of L1s, L2s, and DeFi protocols get unwound by exactly this scenario. team unlock hits, market wasn't pricing it in cleanly, sell pressure overwhelms organic demand, chart goes vertical down, narrative dies with the price, community moves on. you can map the exact moment when most failed projects in 2024 and 2025 got terminal damage and it's usually a major unlock during a weak market. and yet, in the same month Pyth absorbed this unlock, the following happened: on May 22, three days after the unlock, the protocol had a five-hour outage that paused half of DeFi on multiple chains. the post-incident reaction wasn't migration away from Pyth. it was a wave of teams publicly committing to keep using it because nothing else gives them institutional-grade first-party data at sub-second latency. last month, Polymarket integrated Pyth Pro as the resolution source for traditional asset prediction markets. Apple, NVIDIA, gold, silver, stock indices — all now resolve through Pyth feeds. that's a multi-year structural revenue contract from one of the largest prediction markets in the world. in April, Pyth launched its Data Marketplace with major financial institutions. the same trading firms that publish prices are now structurally positioned to monetize that data through the marketplace, with revenue flowing back to the protocol. OIS emissions ended on April 22. weekly emissions of roughly 1.93M PYTH that had been hitting the market for the entire history of the token went to zero, removing structural sell pressure on top of the buyback flow from the DAO Reserve. 500 price feeds. 100+ blockchains. 120+ data publishers including Jane Street, Cboe, Jump Trading, Two Sigma, and Virtu Financial. Cardano shipped with Pyth pre-integrated in December. and the chart is still trading near range lows. think about that for a second. this is a protocol that has absorbed the largest unlock in its history, survived its biggest outage, ended its emissions program, signed its largest integration deal, launched a new revenue product, and the price barely moves either direction. that's not weakness. that's a market that has stopped caring about news and is waiting for something else. the unlock was the loudest bearish event of the year. it's still not enough to bend the structural thesis. that tells you something important about what's actually compressing under the chart. most tokens get unwound by their unlocks. some absorb them. a smaller number absorb them and then quietly start a new leg up six to nine months later because the structural buyer (in this case the protocol itself, via revenue-funded buybacks) keeps showing up every single month with cash flow from real customers. watch which bucket Pyth ends up in. the only signal that matters now is whether revenue keeps growing month over month. if it does, the unlock becomes a footnote. if it doesn't, the bears were right. i've made my pick. integration count goes up. publisher count goes up. revenue lines keep expanding. that's the trade. the rest is noise.

English
12
0
36
481
Svitinskiy
Svitinskiy@Sweetinskiy·
@abby_on_eth Forty billion dollars just to see what stuff is worth is actually insane when you write it out like that. Pyth completely nuking this legacy data monopoly via a single JSON schema is the ultimate disruption. Legacy vendors should be terrified, ngl.
English
0
0
0
32
ABBY (Abbs)
ABBY (Abbs)@abby_on_eth·
Bloomberg makes roughly $13 billion in annual revenue. Refinitiv makes roughly $7 billion. ICE Data Services makes another $2 billion. CME DataMine, S&P Global Market Intelligence, Morningstar, FactSet, and a long tail of specialized vendors push the global financial market data industry to over $40 billion in annual revenue. That entire $40 billion is the price institutions pay every year for the privilege of accessing pricing data on assets they want to trade. Read that one more time. Forty billion dollars annually. Just for reading the price of things. Not for executing trades. Not for clearing. Not for custody. Just for the right to see what an instrument is currently worth. This is one of the largest legalized toll booths in modern finance. It exists because each asset class historically required its own infrastructure to collect, normalize, and distribute pricing data, and the firms that built that infrastructure decades ago locked it up behind enterprise licensing that small builders could never afford. If you're a hedge fund running a $500 million book, your Bloomberg license costs are a rounding error. If you're a five-person startup trying to build a prediction market or a perp DEX, the same license costs would consume your entire annual runway. The data toll booth has always priced out exactly the builders who would create the most innovative products. Pyth Pro is collapsing that toll booth one feed at a time. Cocoa, coffee, sugar, and live cattle joined the catalog last week. ICE softs and CME livestock now sit next to crude oil, natural gas, gold, silver, corn, wheat, soybeans, all the major FX pairs, hundreds of US equities, and the full crypto stack. 3,000 feeds, one subscription, one API endpoint at pythdata.app. The pricing model is the part most people miss. Pyth Pro doesn't charge per asset class. It doesn't charge per category. It doesn't lock specific instruments behind premium tiers. You subscribe once and you access the entire catalog through a single endpoint. For institutional builders this is meaningful cost savings. For independent builders, indie quants, fintech startups, and DeFi protocols, this is the difference between "we can't afford to build that product" and "we can launch tomorrow". The Bloomberg moat was always cost. Not technology, not data quality, not coverage. Just cost. Pyth's strategic insight was that the cost moat is the most vulnerable kind because the underlying data has zero marginal cost to redistribute once you have publisher relationships. Once enough builders flip their data subscription from a $50,000-a-year Bloomberg seat to a single Pyth Pro endpoint, the legacy vendors lose pricing power. Not because their data is worse but because their pricing model assumes an information asymmetry that no longer exists. This shift takes years. It's already started. The cocoa feed going live last week is one more brick removed from the toll booth wall. Watch which side of this transition you're standing on. @PythNetwork
ABBY (Abbs) tweet media
ABBY (Abbs)@abby_on_eth

i've been watching Pyth integrations for about a year now and there's a pattern i want to point out because i don't think enough people have seen it framed this way. the projects that integrate Pyth never go back. when a team picks an oracle, that decision is usually a multi-year commitment because rebuilding the integration is expensive in engineering hours, expensive in audit costs, and risky in terms of breaking production. switching oracles isn't like switching a frontend library. it's like switching the foundation of a building. so integration data is sticky in a way that almost no other crypto metric is. count what's actually happening. count the perp DEXes on Solana that use Pyth as their primary feed. now go look at their TVL and ask yourself which of them are going to suddenly rip out Pyth and rebuild around a different oracle. answer: none of them. count the lending protocols on Base. count the prediction markets on Polygon. count the perpetuals platforms on Arbitrum. count the new chains launching that ship with Pyth integration on day one. Cardano did exactly this in December 2025. the chain went live with Pyth pre-integrated as the recommended oracle. now compare that to almost any other crypto metric. token holders rotate. TVL flows in and out within weeks. DAU spikes and crashes with narrative cycles. liquidity migrates chasing yield. memecoin attention lasts 72 hours. none of this is sticky. oracle integrations are. once a protocol depends on Pyth for liquidations or settlement, that dependency is structural. it doesn't get reversed by a bad week of price action. it doesn't get reversed by a bad month. it gets reversed only by something catastrophic happening to Pyth, and even then most teams will dual-integrate rather than fully migrate. this is balance sheet infrastructure. and balance sheet infrastructure compounds linearly while the rest of crypto rotates. most of the noise in this space is rotational. you can win for a quarter by riding a narrative and lose it back the next quarter when the meta moves. you cannot do that with infrastructure adoption. you build it once, slowly, painfully, with each integration earned individually. and once you have it, you keep it. count the integrations. count the chains. count the publishers. and ask yourself which of those numbers can plausibly decrease in the next twelve months. then ask the same question about your other crypto bets. most people watch the price. infrastructure investors watch the integration count.

English
12
0
28
411
Svitinskiy
Svitinskiy@Sweetinskiy·
@xbtremi From 17th-century Osaka rice futures to Solana smart contracts. The loop is finally closing. This is how the entire global economy eventually ends up running on-chain.
English
0
0
0
12
∅ REMI
∅ REMI@xbtremi·
Commodities are the oldest market in the world. People were trading cocoa beans as currency in Mesoamerica a thousand years before stock exchanges existed. The first organized futures contracts on rice were settled in 17th century Osaka, before Adam Smith was born, before central banks, before paper money was even widely accepted in Europe. Coffee, sugar, livestock, grains, metals. These commodities have been pricing themselves continuously for centuries longer than any equity, any bond, any currency in current use. And until last week, almost none of that price discovery was readable onchain. Think about how strange that is. We built an entire decentralized financial system. We tokenized stocks and bonds and real estate and art. We deployed smart contracts that handle more transaction volume than most national stock exchanges. We achieved verifiable global settlement of digital assets in seconds. And the oldest, most settled, most globally important markets on earth, the markets that literally determine what people eat and what economies can afford to build, were sitting outside the onchain economy entirely. Locked behind ICE Connect licenses and CME DataMine subscriptions. Visible only to institutions with the legal teams and budget to negotiate access to data that has been continuously priced for centuries. Pyth just added cocoa, coffee, raw sugar, and live cattle. Four feeds. Quiet announcement. Easy to miss. But the meaning is structural. The oldest markets on the planet are starting to make themselves readable to the youngest financial system on the planet. A smart contract on Solana can now reference the same cocoa futures price that a buyer in Amsterdam used to settle physical delivery yesterday morning. That same price discovery, that same global consensus on what the world's chocolate supply is worth, is now accessible to anyone with an internet connection and a few lines of code. This is the actual long arc of what onchain finance was supposed to be. Not just trading more crypto. Not just gambling on tokens. Bringing the entire global pricing system onto a public verifiable layer, slowly, asset class by asset class, until eventually every meaningful market that humans care about is queryable by anyone, anywhere, without permission. Cocoa is one feed. Coffee is one feed. Sugar is one feed. Live cattle is one feed. 3,000 down. Roughly 197,000 to go before the entire institutional pricing universe is onchain. That's the project. That's what infrastructure work actually looks like at scale. Quiet. Slow. Compounding. And one day someone is going to write a history of finance that includes the sentence "in 2026, the price of everything started coming onchain". And then they're going to spend a chapter explaining why that mattered. Right now we're just adding cattle.
∅ REMI tweet media
∅ REMI@xbtremi

Think about what an oracle actually is for a second. It's the place where the chain meets reality. where smart contracts that exist as pure logic finally have to admit that the price of BTC isn't whatever they want it to be. it's whatever the actual market said it was at this exact second. Every other layer of the stack can lie a little. A chain can advertise TPS it never actually delivers under load. a protocol can inflate TVL by counting wrapped versions of itself. a token can have a roadmap full of features that never ship. a frontend can show you a chart of price action that doesn't reflect actual execution depth. an exchange can publish volume that's mostly wash trades. Oracles can't. an oracle that lies about price gets caught instantly because money moves through it. somebody opens a position. somebody else takes the other side. one of them is wrong, by an amount equal to whatever the oracle lied about. that error compounds into liquidations, into bad debt, into protocol insolvency. an oracle that lies has a half-life measured in days because real capital flows through it and surfaces every distortion. This is why oracles are the only honest layer in DeFi. Pyth pulls that honesty straight from the people making the markets. no middleman. no delay. 120+ firms whose entire business is knowing the price, all pushing it to the same place at the same time, with confidence intervals attached. The rest of crypto can have its narratives. its memes. its rotations. its season after season of attention chasing the next L1 or DePIN or AI agent thesis. Oracles only get to have one thing. the number, as it was, at the exact moment it was. And you can sell narratives for a cycle. you can sell hype for a quarter. but the number, every second, on every chain, forever — that's the part of the stack that compounds. that's the part that doesn't go out of style when the meta rotates. Most of crypto wants to be exciting. Infrastructure wants to be invisible. it wants you to not think about it. it wants you to forget it exists. and the day you do forget it exists is the day it's actually winning. The boring layer is where the real money is being made. it always has been.

English
14
0
29
322
Svitinskiy
Svitinskiy@Sweetinskiy·
@runik_owners Querying Bitcoin and actual live cows in Chicago with the exact same SDK call is wild when you think about it. Replacing a small army of compliance officers with a single curl request is the ultimate flex.
English
0
0
0
16
Nomad☠️
Nomad☠️@runik_owners·
Things you can now query from a single API endpoint: BTC. ETH. SOL. NVIDIA stock. Apple stock. EUR/USD. Gold. Silver. Crude oil. Natural gas. Corn. Wheat. Soybeans. Coffee. Cocoa. Raw sugar. Live cattle. Yes, live cattle. The actual price of actual cows traded on the actual CME, accessible by an actual smart contract on Solana through actual one-line REST calls at pythdata.app. This is genuinely funny if you sit with it for a second. The same endpoint that gives you the BTC mark price also gives you what a US feedlot is paying for beef futures in Chicago. The same SDK call. The same JSON response format. The same confidence interval. The same first-party institutional pricing pipeline. It used to take a Bloomberg terminal, a Refinitiv contract, a CME data license, an ICE data license, and a small army of compliance officers to even legally access half of these prices in one place. Now it takes a curl request. And nobody is talking about how absurd this is. For the entire history of finance, asset class fragmentation has been the moat that protected data vendors from competition. Every category had its own vendor, its own licensing regime, its own pricing model, its own data feed format. Crypto data came from CoinGecko or CMC. Equities came from Bloomberg. FX came from Refinitiv. Commodities came from ICE Connect or CME DataMine. Each one a separate seven-figure annual contract for any institution that wanted full coverage. Pyth collapsed that. One subscription. One API. One JSON schema for crypto, equities, FX, commodities, metals. This isn't an incremental product improvement. This is the kind of platform consolidation that, when it happens to any mature industry, completely reshapes who wins and who disappears within a decade. AWS did it to enterprise IT. Stripe did it to payment processing. Both started looking like niche tools and ended as the default infrastructure for everything in their respective categories. Pyth is at the moment where the niche tool starts to look like the default. The 3,000-feed catalog, the institutional publisher list, the onchain verifiability, the per-query economics, all of these compound on top of each other. Degens asked for prediction markets on beef futures. They shall now receive. One API call at a time. The price of everything is coming onchain. The only question is whether you're paying attention to it now or three years from now.
Nomad☠️ tweet media
Nomad☠️@runik_owners

Your favorite oracle: Retail trader queries chain → smart contract pulls from oracle → oracle reads from 3rd party node operator → node operator sources from public API → public API aggregates from data vendor → data vendor sources from exchange feed → exchange feed sources from market maker → market maker has the actual price Pyth: Market maker → Pyth → chain It's literally the difference between asking your friend who asked his friend who asked his cousin if their dealer has anything left, versus calling the dealer directly. One of these is going to give you fresher data. one of these is going to give you the actual number. one of these is going to be operational at 2am when you actually need it. You already know which one. And yet half of DeFi is still routing through 4 layers of abstraction to get prices that originated from the same firms that publish directly to Pyth anyway. It's like ordering uber eats from a restaurant that's literally across the street. the food gets there. it's just cold and you paid 40% more than walking. Most of crypto infrastructure is exactly this. legacy decisions made when there was no better option, kept in place because nobody wants to do the migration work, justified after the fact with "well it still works". It still works until it doesn't. and when it doesn't, you find out you've been paying the abstraction tax for years for no reason. Call the dealer.

English
14
0
28
552
Svitinskiy
Svitinskiy@Sweetinskiy·
@degenkenzie Bloomberg took 50 years to build their catalog, Pyth is speedrunning 20% of it in less than a decade. The network effect here is getting wild, ngl. Legacy tech stands zero chance.
English
0
0
0
12
degenkenzie
degenkenzie@degenkenzie·
Pyth passed 1,000 onchain price feeds in early 2025. The Pyth Pro catalog has tripled since then and is still accelerating. We're now at 3,000+ feeds across crypto, equities, FX, commodities, and metals. Let me put that growth rate in context because the surface number doesn't tell you what's actually happening underneath. A traditional data vendor like Refinitiv or Bloomberg has roughly 100,000 to 200,000 instruments in their full enterprise feed catalogs. That's the universe of everything a global institutional trader might want to price. Those companies built those catalogs over four to five decades, with thousands of employees managing data partnerships, contracts, normalization, and quality control. Pyth Pro has built 3% of that universe in roughly four years. Not 3% of the easy stuff. 3% of the entire institutional data universe, including ICE softs, CME livestock, US equities, FX majors, metals, energy, and the full crypto stack. And the growth rate is the part nobody is pricing in. Let me show you the actual cadence. Energy feeds were added in recent months. Equities expanded earlier this year. Pyth Pro shipped FX majors and crosses. Then metals expanded. Then softs. Now livestock. New feeds are launching roughly every week. If you extrapolate the current cadence linearly (and the data suggests it's actually accelerating), Pyth Pro hits 10,000 feeds within 18 months and 30,000 feeds within 4 years. At 30,000 feeds you're at 15-20% of the full Bloomberg/Refinitiv universe, accessible through a single API, with onchain verifiability, with first-party publishers, at a fraction of the legacy cost. That's not an incremental product upgrade. That's the moment a single onchain endpoint becomes a credible alternative to seven-figure annual data vendor contracts for any builder, fund, or fintech that wants institutional-grade pricing without the institutional-grade overhead. Now ask yourself which categories of builders this enables. Quantitative hedge funds that want to backtest strategies against any global asset without negotiating individual data licenses. Fintechs that want to launch multi-asset retail products in jurisdictions where local data vendors gatekeep access. Prediction markets that want to settle on any tradeable instrument globally. Perpetual exchanges that want to list exotic asset pairs without infrastructure costs. Insurance protocols that want to write coverage tied to commodity, FX, or equity price thresholds. Every single one of these used to require its own custom data deal. Now they all share the same endpoint. 3,000 feeds is the milestone. The trajectory is the trade. Watch the cadence, not the snapshot. x.com/degenkenzie/st…
degenkenzie tweet media
English
15
0
31
336
Svitinskiy
Svitinskiy@Sweetinskiy·
@TOXA_CNPHNK Trading coffee and cocoa perps on-chain based on weather reports is peak crypto and I'm 100% here for it. The infrastructure play is getting too strong fr fr.
English
0
0
1
22
toxacnphnk.eth
toxacnphnk.eth@TOXA_CNPHNK·
Cocoa hit an all-time high of $12,931 per ton in December 2024, then crashed 61.9% to $4,924 by November 2025. As of last week it sits around $3,800. That's a single soft commodity going through a complete bubble and crash cycle in 11 months, with weekly moves of 8-10% in either direction triggered by Ivory Coast weather reports. And until this week, you couldn't trade that volatility on-chain with a reliable price feed. Pyth just added Cocoa, Coffee, Raw Sugar, and Live Cattle futures to Pyth Pro. ICE softs and CME livestock. That sounds boring on first read. It is genuinely not boring once you look at what's been happening in these markets. Coffee is rallying on dry weather in Brazil and Vietnam. Sugar correlates with crude oil because Brazilian sugarcane is dual-use as ethanol feedstock, so every Iran headline moves sugar futures. Live cattle is one of the most tariff-sensitive contracts in the entire CME complex, with every trade war headline rippling through US beef pricing within minutes. These aren't sleepy agricultural markets anymore. They're some of the most actively traded contracts in the entire macro environment right now. Hedge funds run dedicated soft commodity desks. Macro funds use livestock as a tariff proxy. Climate funds short cocoa as an El Niño hedge. And every single one of those trading desks operates from Bloomberg terminals with data licenses that cost five to six figures a year per seat. Now think about what onchain access to these prices unlocks for builders. Prediction markets on the next cocoa harvest. Perpetual futures on coffee for crypto-native traders who don't have ICE accounts. Structured products that bundle commodity exposure with crypto. Insurance contracts that pay out based on agricultural price thresholds. Yield products that hedge stablecoin yields against soft commodity inflation. None of these existed before institutional commodity feeds came onchain. Now the data is there. The market discovers the products. Pyth Pro now sits at 3,000+ price feeds across crypto, equities, FX, commodities, and metals. One subscription. One API at pythdata.app. From BTC to beef cattle. The legacy data vendor model is a toll booth where every category of asset requires a separate license, a separate contract, a separate dataset, a separate seven-figure relationship with Refinitiv or Bloomberg. Pyth is collapsing that entire architecture into a single endpoint. The price of everything is coming onchain. One feed at a time. You don't notice infrastructure shifts like this in real time. You notice them three years later when an entire category of products exists that didn't exist before. When Pyth adds @sleepagotchi data. I need a sleep quality chart from sleepagotchi.
toxacnphnk.eth tweet media
English
16
1
37
908
w3nz
w3nz@w3nzzzzz·
Pyth Pro & Kraken Pro are now partnering. The $WTIOIL perpetual oil futures are officially live on the @krakenfx The @PythNetwork infrastructure powers the accuracy and speed of quotes for this instrument 24/7. This is another step toward bringing major TradFi assets onto transparent on-chain rails for secure order execution.
g6.base.eth@treeepy03

Polymarket. Indigo. Now Kraken. When real money is on the line, prediction markets, synthetics, leveraged perps - they all end up at the same place🔮 $PYTH is becoming the default.

English
20
0
32
995
Svitinskiy
Svitinskiy@Sweetinskiy·
@tomniy_bes @PythNetwork Pyth expands, $PYTH pumps. It’s literally that simple. The HK equities move completely clears any competition ngl.
English
0
0
0
25
Svitinskiy
Svitinskiy@Sweetinskiy·
@hyzecore @okx Exchange OS for onchain markets on top of X Layer is way more hyped than OKB Boost, fr fr.
English
1
0
1
73
hyze
hyze@hyzecore·
$OKB — YOU SHOULD NOT MISS THIS! **Continuing my series of posts about the OKX ecosystem. Right now, I see $OKB as a very promising and interesting speculative opportunity. More and more positive news flow is forming around the @okx ecosystem, while practical steps are already being taken to develop X Layer - which directly impacts demand for the native token, $OKB. (*check chart) From a technical perspective , after a long consolidation phase, the price managed to close above the upper boundary of the range. I made my first purchases with 20% of the planned position at around $92 per coin. I only plan to add more if the price breaks above and confirms over $90. I’ll reconsider the idea if the price drops below $80. Why am I betting on this? The recent update and activation of OKX Boost, where volume on X Layer receives a 20% boost, effectively makes it one of the most profitable options for users - and it’s already gaining traction. Of course, you could argue that most users there right now are farmers, but in crypto that’s often how user bases are formed: first through incentives, and later, as real use cases appear, organic adoption follows. It’s also worth highlighting the launch of Exchange OS - a new infrastructure solution for building on-chain markets on top of X Layer. This already looks like confirmation that OKX is moving beyond being “just an exchange token” and is trying to build a full-fledged ecosystem and infrastructure similar to BNB Chain. I wouldn’t be surprised if, over time, we see things like a PERP DEX, prediction markets, or other on-chain tools for lending and staking within X Layer. All of this is happening gradually, step by step. And it’s important to remember that for a token to grow, even a small imbalance toward buying pressure can be enough - especially considering: >the 21 million OKB hard cap; >strong news momentum; >direct support from the exchange; >indirect backing from institutional players; >the creation of new demand mechanisms and ongoing infrastructure development. For now, this is more of a bet on the future growth of the ecosystem and adoption rather than on already established results. BUT THESE ARE EXACTLY THE KINDS OF NARRATIVES THE MARKET OFTEN STARTS PRICING IN AHEAD OF TIME - WHICH IS WHY, IN MY OPINION, THIS IS SOMETHING WORTH PAYING CLOSE ATTENTION TO.
hyze tweet media
English
16
2
20
318
hyze
hyze@hyzecore·
31.01.2026, CEO of OKX Star Xu publicly accused Binance over the 10/10 event (flash crash) and continues an open confrontation with Changpeng Zhao on X. At the time, it looked like just another exchange rivalry, but now the picture looks different. 05.03.2026 ICE (owner of NYSE) entered into a strategic partnership with OKX and received a role in the company’s governance. The valuation of OKX after the deal is estimated at around $25 billion. It’s now becoming clear that in the exchange market, OKX is no longer competing with Bybit - it’s aiming much higher. Binance still dominates in liquidity and retail, but CZ remains a toxic figure for institutional players due to ongoing investigations, reputational risks, and dependence on Trump. Meanwhile, OKX is gradually building the image of a regulated infrastructure platform for institutional capital. A $25 billion valuation from the owner of NYSE is no longer just an “investment round” - it’s a signal that major financial players are beginning to build a long-term model of the crypto market around more integrated and compliant platforms, and in their view, that platform is OKX, not Binance.
hyze tweet media
English
10
0
13
413
Svitinskiy
Svitinskiy@Sweetinskiy·
@6uappi setup takes 20 minutes and suddenly claude has read everything you’ve ever written. that’s not a productivity hack that’s just cheating
English
1
0
0
39
bytez
bytez@6uappi·
someone figured out that Obsidian + Claude Code isn’t a productivity hack it’s a completely different relationship with your own knowledge the setup takes 20 minutes. what it does is permanent. here’s what actually happens when you connect them: your Obsidian vault becomes the directory Claude Code runs from. CLAUDE.md at the root is both instructions for Claude and a readable note in your vault in one file, two jobs Claude reads your notes, finds patterns in your thinking, surfaces gaps you didn’t notice, asks questions that push you deeper not as a chatbot, but as an agent that has actually read everything you’ve ever written you build skills on the fly: /log, /plan, /review custom commands that do exactly what you need, written once, used forever voice mode + Claude Code + Obsidian = you speak a thought, it lands as a structured note, linked to everything related, without you touching a keyboard It gets smarter every session because it reads what happened last time. no copy-pasting context. no re-explaining. it already knows the people still dumping ideas into Notion pages they never reopen are building a graveyard of thoughts the ones who set this up are building a system that thinks back
CyrilXBT@cyrilXBT

x.com/i/article/2057…

English
14
1
16
281
Svitinskiy
Svitinskiy@Sweetinskiy·
@s_gooses @PythNetwork ran on charity since 2021 and now they’re eating the $50B market data industry. glow up fr
English
2
0
0
19
gooseS-
gooseS-@s_gooses·
PYTH NETWORK ENDS THE FREE DATA ERA glo mo team, sitting out in nature today, exploring the new @PythNetwork updates and their docs. > they provide free institutional data since 2021. > become default oracle for defi protocols. > run core service entirely on charity. > pull a ruthless twist in summer 2026. > kill the free tier for everyone. > enforce mandatory plans from $500 to $10,000 monthly. > the api remains exactly the same but latency is way lower. > all subscription revenue now flows directly to the pyth dao. > the $50B market data industry just got a web3 predator. will smaller builders survive this new pricing model? the price of everything. everywhere. [link in the first comment]
gooseS- tweet media
English
13
0
18
320
Svitinskiy
Svitinskiy@Sweetinskiy·
@RetroLayer random cracked minds from all over the world is honestly the best description of a good community
English
1
0
1
40
Alexandro
Alexandro@RetroLayer·
Builder communities are rare Most places talk about building. Arc actually encourages it. Super happy to get the Architect badge today ❤️ The best thing here isn’t even the badge itself — it’s the people. You meet builders, devs, designers, founders, random cracked minds from all over the world, and everyone’s genuinely trying to help each other grow and create cool stuff together. That atmosphere is hard to fake, and Arc nailed it. Huge thanks to the @arc team and shoutout to @bobbilee @samconnerone happy to be part of this journey
Alexandro tweet media
English
30
0
65
916
hitu
hitu@hitu_monke·
G6 IS RIGHT THE FREE LUNCH IS OVER AND HONESTLY NO ONE BUILDING REAL SHIT IS COMPLAINING if you are running serious protocols paying for @PythNetwork data rails is just normal business > 1s streams for 500 bucks instead of 2500 is literally cheap as hell > sub 1ms latency means your scripts catch deviations before retail even blinks > zero code rewrites you literally just update the api tier filters out the freeloaders and leaves a clean lane for real execution engines
hitu tweet media
g6.base.eth@treeepy03

July 31st. Pyth Core gets a major infrastructure upgrade. Every dev who's been freeloading on the free API since forever - your time is up 🔮 API access moves to Starter or Pro subscription. 14-day trial before you commit. The flywheel just got fuel. And it was a DAO decision. This is what protocol maturity looks like.

English
13
0
16
529
Svitinskiy
Svitinskiy@Sweetinskiy·
@kitartoan pool is only 3k users that’s not a lot. anyone checked their eligibility yet?
English
0
0
0
14
Alex Stoiko
Alex Stoiko@kitartoan·
Binance Alpha listing - $QAIT (Sealcoin) premarket price: $0.0072 potential: ~$212 per drop required: 241 Alpha Points deducted amount: 31,111 QAIT per user if pool of 3,000 isn't filled — threshold drops 5 pts every 5 min
Alex Stoiko tweet media
English
14
0
17
600