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Deep Dive into Pyth Network 💎💎💎💎💎
👉From November 2024😉
August 16, 2025
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What are Oracles?

Blockchains in and of themselves are useful already, for trustless and permissionless transactions without censorship. No trust or verification from the user is required because it is stored on a decentralised ledger with global consensus. What if certain transactions require reliable and real-time data from external sources that do not necessarily have a global consensus or can be stored on the same ledger? For example:

  • Products that rely on price feeds of assets from other blockchains or real-world markets: Many decentralized finance (DeFi) applications, like decentralized exchanges or lending platforms, need accurate and timely information about asset prices (e.g., stocks, cryptocurrencies, commodities). Since these prices are continuously changing in real-world markets, blockchains need a way to securely access this off-chain data.
  • Products that require verifiable and secure random numbers: Randomness is crucial for a variety of blockchain use cases, such as lotteries, gaming, and even secure cryptographic protocols. However, generating truly random numbers on-chain is challenging without introducing bias or predictability. Off-chain randomness, when provided by a reliable source, is often needed.
  • Products dependent on historical price data: Some DeFi platforms and financial products might need access to archived price data for risk assessment, backtesting trading strategies, or offering historical analysis. Since blockchains primarily focus on storing current state information, they need external sources to provide this historical data efficiently.

To address these challenges, Oracles were introduced. Oracles serve as bridges between blockchains and the external world, providing smart contracts with access to off-chain data. They connect external data providers—such as market data owners, web APIs, or IoT devices—to decentralized applications across multiple blockchains. Oracles enable these applications to securely and reliably obtain real-time data, execute transactions based on external events, and interact with data that cannot be directly stored on-chain.

Why can this data be trusted? Oracles provide a robust mechanism for ensuring the integrity and reliability of off-chain data before it is used on the blockchain. An oracle network verifies the:

  • Authenticity: To ensure that the data is genuine and comes from a legitimate source, oracle networks source data from multiple trusted providers or verifiable APIs. This process reduces the risk of malicious or false information being introduced into smart contracts.
  • Accuracy: Accurate data is crucial for smart contracts to function correctly. Oracles achieve this by aggregating data from several independent sources. Instead of relying on a single provider, an oracle network will query multiple data sources and compare their responses.
  • Reliability: Oracle networks enhance reliability by using decentralized nodes, which increases resilience against failures or malicious activity. If one data source or node fails or provides incorrect information, the other nodes in the network can continue to operate and provide valid data.

The demand for accurate and reliable off-chain data is growing as the number of real-world use-cases and adoption of blockchain increases. Users of applications are more than willing to pay for an oracle service that is accurate and reliable and covers a large variety of use-cases.

Pyth Network versus Other Oracles

Read the blog post of Battle of the Oracles to learn more about the different oracles solutions. To recap, Pyth Network is a high-frequency oracle leveraging Solana's technology, offering a robust solution for off-chain data sharing for primarily decentralized finance applications (DeFi). It provides services like real-time price feeds and benchmarks, accessible to a wide range of financial service providers. PYTH is the governance token and utility token of the Pyth Network. Supply and demand for the PYTH token is directly related to level of usage and total demand of Pyth’s services and Pyth Network’s Tokenomics.

Total Value Secured by Oracles

While Chainlink holds the lion’s share of the total value secured by oracles, Pyth has shown by far the largest growth in terms of TVS, number of protocols supported and number of DApps. Pyth is expanding rapidly, across different networks and protocols, supporting more DApps, data providers and integration partners every day. In the same time frame, Chainlink’s marketshare has decreased. Comparing the main metrics of MCAP/TVS ratio and MCAP/TTV ratio, we notice that based on market capitalization (circulating supply), Pyth is undervalued whereas the TVS ratio based on fully diluted value paints a different picture. This is because only 37% of PYTH tokens are unlocked, the next significant PYTH token unlock takes place in May of 2025 and happens yearly thereafter on the same date until the full amount of tokens has been unlocked by 2027.

Use-cases Enabled by Pyth

Products and Services:

  • Price Feeds: real-time market data for smart contracts, blockchains, and applications
  • Benchmarks: historical market data for smart contracts, blockchains, and applications
  • Express Relay: smart contracts or protocols that need protection against MEV (Express Relay) Express Relay is one of a kind product that offers developers to auction off valuable transactions directly to MEV searchers without validator interference
  • Entropy: smart contracts that require secure on-chain random numbers. Secure and verifiable random numbers are incredibly important for creating a fair and unpredictable on-chain actions (e.g., for games)
  • Pyth DAO Governance model

Examples:

  • Decentralised Exchanges (DEXs) require reliable real-time price feeds to provide users accurate trades.
  • Pyth’s data pull model provides data directly from the source, such as exchanges, market makers or DeFi protocols. Because data is pulled only on demand and not pushed at a given interval, it scales efficiently, and costs are offloaded to users where updates are demand-based.

Case Study: Drift (DEX)

Refresher: What is a DEX?

Decentralized Exchange (DEX) allows users to trade cryptocurrencies directly, without intermediaries, using smart contracts on a blockchain. DEXes operate peer-to-peer, providing greater privacy and control over assets compared to centralized exchanges.

There are two main types of DEXes:

  1. Order Book DEXes: These platforms match buy and sell orders using a live order book, similar to traditional exchanges. Examples include dYdX.
  2. Automated Market Makers (AMMs): AMMs use liquidity pools and algorithms to determine asset prices, allowing users to trade instantly without needing a counterparty. Examples include Uniswap and SushiSwap.

Context

Drift is a perpetual trading DEX built on Solana. Speed, reliability, and performance make or break a perpetual trading ecosystem. Drift is a perpetual trading platform that allows traders to create leveraged positions against the performance of synthetic assets.

Why Pyth?

Drift seeks to offer the most feature-rich, powerful perpetual DEX with lightning-fast execution. This ambition necessitates a robust Oracle solution. Legacy oracles are slow and susceptible to front and back running.

Pyth and Drift partnered to rapidly deploy a proof-of-concept. This successful relationship satisfies the ultra-fast network requirements of Drift’s execution tools and is capable of supporting thousands of users and hundreds of assets.

This is only one of many examples of an effective partnership and integration that gives Web3 users an enhanced user experience than DApps that use other Oracle solutions. There are presently over 410 integration partners supporting the transition from push to pull Oracles with Pyth Networks.

Pyth versus Chainlink

We compare Chainlink and Pyth Network with two main metrics: Total Value Secured (TVS) and Total Transaction Volume (TTV)

Total Value Secured

Pyth’s Total Value Secured (TVS) is more distributed across different blockchains and applications compared to Chainlink, offering greater resilience and diversification. Here's how the comparison breaks down:

  • Blockchain Distribution: Pyth’s TVS shows a broader spread across multiple blockchains. For instance, only 61.1% of Pyth’s TVS is concentrated on the Solana blockchain, which means the remaining value is distributed across other blockchains, contributing to its decentralized footprint. In contrast, 97.1% of Chainlink’s TVS is concentrated on Ethereum, creating a higher dependence on a single blockchain. This heavy reliance on Ethereum makes Chainlink more vulnerable to network-specific issues, such as scalability concerns or market downturns affecting Ethereum.
  • Application Distribution: Pyth also demonstrates a healthier diversification across different applications. Only 23.8% of Pyth’s TVS is tied to its top application, meaning the remaining value is distributed among various other applications. This broader application spread lowers the risk of one dominant app affecting the network’s overall performance. Chainlink, however, has 48.8% of its TVS tied to its top application, meaning nearly half of its secured value relies on a single application. This concentration creates a potential single point of failure, making Chainlink more sensitive to shifts in the usage or success of that key application.

Pyth's more balanced distribution of TVS across different blockchains and applications enhances its resilience. With a healthier spread of its value, Pyth is better positioned to withstand market fluctuations or downturns that may affect individual blockchains or applications, making it less exposed to risks associated with dependency on any single network or product. This diversified approach gives Pyth a structural advantage in terms of long-term stability and adaptability.

Total Transaction Volume

Another, perhaps better, metric to measure the true market share and usage of an Oracle network is TTV (Total Transaction Volume). TTV is strongly correlated with the frequency of oracle price updates and therefore oracle revenue and true demand for its products and services. TVS can overstate or understate an application’s demand for price updates, because an application could have a disproportionate amount of locked value relative to the amount of Oracle interactions one would expect to observe.

Chainlink, the traditional market leader of oracle networks, is losing ground after being slow to serve customers needing faster data updates, though they've recently launched a new high-speed service. Pyth has become a successful competitor by focusing on rapid data delivery across multiple platforms, making it easier for financial applications to access real-time price information. Large trading platforms are increasingly building their own internal price tracking systems rather than paying external providers, suggesting cost is a major factor in their decisions.

The key to future success in digital trading will be speed - traditional exchanges currently have an advantage with their centralized systems, but new platforms are starting to close this gap by developing faster price update capabilities.

Pyth Network Governance

The Pyth Network operates a decentralized governance system that empowers the community by allowing all PYTH token holders to have a direct say in the network's development and decision-making processes. This decentralized governance model ensures that control of the network is distributed among its users, promoting transparency and inclusion.

To participate in governance, token holders must stake their PYTH tokens through the Pyth staking program. By staking their tokens, users gain the ability to vote on community governance proposals, ensuring that they have a voice in the key decisions shaping the future of the Pyth Network.

In addition to voting, any PYTH token holder has the right to submit proposals to the Pyth DAO, provided they meet the requirement of holding and staking at least 0.25% of the total PYTH tokens staked. The proposals that can be brought to the DAO are diverse and impact many critical aspects of the network's functionality, including:

  • Determining the size of update fees: Proposals can influence the fees charged for updates to the network, ensuring that they remain fair and competitive.
  • Reward distribution mechanisms for publishers: The community can vote on how rewards are allocated to data publishers, ensuring that those contributing accurate and reliable data are fairly compensated.
  • Approving software updates across blockchains: The Pyth Network operates across multiple blockchains, and governance participants have the power to approve essential updates to on-chain programs, ensuring the network remains up to date and secure.
  • Listing price feeds and determining their reference data: Token holders can vote on which price feeds are listed on Pyth, as well as set the technical parameters for these feeds, such as the number of decimal places in the prices and the reference exchanges used to determine the data.
  • Selecting data publishers: The governance system allows the community to permission publishers, or select which entities are allowed to provide data for each price feed. This ensures that only trusted and verified data sources are contributing to the network.

Conclusion

The Pyth Network stands out as a disruptive force in the decentralized oracle space, rapidly growing across protocols and blockchains and setting new standards for both data speed and diversification. Leveraging Solana technology, Pyth brings high-frequency, real-time market data directly from first-party sources—including exchanges and trading firms—to an expanding universe of DeFi and TradFi applications. Compared to its primary competitors, Pyth demonstrates healthier resilience by distributing its Total Value Secured across multiple blockchains and applications, reducing dependencies and systemic risk.

Recent market trends show Pyth gaining ground in metrics like Total Transaction Volume, challenging traditional leaders like Chainlink and reflecting a broader shift toward fast, reliable, and diversified data solutions in decentralized finance. Its innovative approach—such as direct publisher sourcing, sub-second updates, and auditable aggregation—addresses the needs of financial markets with unique precision and transparency.

Ultimately, for developers, institutions, and investors seeking reliable off-chain data with speed and global reach, Pyth Network is quickly becoming a cornerstone oracle solution—and its trajectory signals a new era of dynamic, decentralized connectivity for global finance.

 

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Inside The Deal That Made Polymarket’s Founder One Of The Youngest Billionaires On Earth🌍

One year ago, the FBI raided Polymarket founder Shayne Coplan’s apartment. Now, the college dropout is a billionaire at age 27.

In July, Jeffrey Sprecher, the 70-year-old billionaire CEO of Intercontinental Exchange, the parent company of the New York Stock Exchange, sat at Manhatta, an upscale restaurant in the financial district overlooking the sprawling New York City skyline from the 60th floor. As a sommelier weaved through tables pouring wine, in walked Shayne Coplan—in a T-shirt and jeans, clutching a plastic water bottle and a paper bag with a bagel he’d picked up en route. Sprecher chuckles as he recalls his first impression of the boyish, eccentric entrepreneur: “An old bald guy that works at the New York Stock Exchange, where we require that you wear a suit and tie, next to a mop-headed guy in a T-shirt that's 27.” But Sprecher was fascinated by Polymarket, Coplan’s blockchain-based prediction market, and after dinner, he made his move: “I asked Shayne if he would consider selling us his company.”

Prediction markets like Polymarket let thousands of ordinary people bet on future events—the unemployment rate, say, or when BitCoin will hit an all-time high. In aggregate, prediction market bets have proven to be something of a crystal ball with the wisdom of the crowd often proving itself more prescient than expert opinion. For instance, Polymarket punters predicted that Trump would prevail in the 2024 presidential election, when many national pundits were sure that Kamala Harris would win.

Coplan initially turned down Sprecher’s buyout offer. But discussions led to negotiations and eventually a deal. In October, Intercontinental announced it had invested $2 billion for an up to 25% stake in the company, bringing the young solo founder the balance he was looking for. “We're consumer, we’re viral, we're culture. They’re finance, they’re headless and they’re infrastructure,” Coplan tells Forbes in a recent interview.

At the same time, Coplan announced investments from other billionaires including Figma’s Dylan Field, Zynga’s Mark Pincus, Uber’s Travis Kalanick and hedge fund manager Glenn Dubin. A longtime Red Hot Chili Peppers fan, Coplan even convinced lead singer Anthony Kiedis to invest after a mutual acquaintance brought the musician to Coplan’s apartment one day. “He's buzzing my door, and I’m like, ‘holy shit,'” Coplan recalls, his bright blue eyes widening. “I love their music. A lot of the inspiration [for my work] comes from the music that I listen to.”

Thanks to the deals, Polymarket’s valuation quickly shot to $9 billion, making the 2025 Under 30 alum the world’s youngest self-made billionaire, with an estimated 11% stake worth $1 billion. His reign was short: twenty days later, he was overtaken as the youngest by the three 22-year-old founders of AI startup Mercor.

Young entrepreneurs are minting ten-figure fortunes faster than ever. In addition to the Mercor trio and Coplan, 15 other Under 30 alumni—including ScaleAI cofounder Lucy Guo, Reddit’s Steve Huffman and Cursor’s cofounders—became billionaires this year, while Guo’s cofounder Alexandr Wang and Robinhood’s Vlad Tenev (both former Under 30 honorees) regained their billionaire status after having fallen out of the ranks.

The budding billionaire has long been fascinated by markets and tech. When he was just 14, Coplan emailed the regional Securities and Exchange Commission office to ask how to create new marketplaces. “I did not get a response, but it’s a really funny email,” he says, grinning playfully as he thinks of his younger self. “It just shows that this stuff takes over a decade of percolating in your mind.”

Two years later, Coplan showed up at the offices of internet startup Genius uninvited after multiple emails of his asking for an internship went ignored. At age 16—at least a decade younger than anyone in that office—he secured his first job after making a memorable impression with his “wild curls” and “encyclopedic knowledge of billionaire tech entrepreneurs.” “If he chooses to become a tech entrepreneur, which seems likely, I have no doubt that we’ll be seeing his name again in the press before long,” Chris Glazek, his manager at the time, wrote in Coplan’s college recommendation letter.

Coplan went on to study computer science at NYU, but dropped out in 2017 to work on various crypto projects that never took off. In 2020, he founded Polymarket to create a solution to the “rampant misinformation” he saw in the world: The company’s first market allowed users to bet on when New York City would reopen amid the pandemic. He soon expanded into elections and pop culture happenings, among other events.

But it didn’t take long for the company to butt heads with regulators. In January 2022, Polymarket paid a $1.4 million fine to the Commodity Futures Trading Commission for offering unregistered markets. It was also ordered to block all U.S. users, but activity on Polymarket skyrocketed particularly during the 2024 U.S. presidential election, with bets totaling $3.6 billion. A week after the election, the FBI raided Coplan's apartment and seized his devices as part of an investigation into a possible violation of this agreement. Shortly after, Coplan posted on his X account that he saw the raid as “a last-ditch effort” from the Biden administration “to go after companies they deem to be associated with political opponents.”

In July, the Department of Justice and CFTC dropped the investigations—after which Sprecher reached out to Coplan for dinner—and less than a week later, Polymarket announced it had acquired CFTC-licensed derivatives exchange QCX to prepare for a compliant U.S. launch. QCX applied to be a federally-registered exchange in 2022—an application that was left dormant for three years before receiving approval less than two weeks before the acquisition was announced. When asked about the timing of the deal, Coplan points to CFTC acting chairwoman Caroline Pham, who President Trump tapped to lead the agency in January. “Caroline deserves a lot of credit for getting every single license that had been paused for no reason approved, as acting chairwoman in less than a year,” he says. Coplan had realized an acquisition might be the only way for Polymarket to legally operate in the U.S. as early as 2021 due to the lengthy federal approval process, a source familiar with the deal told Forbes.

Just two months after the acquisition and days after Donald Trump Jr. joined Polymarket’s advisory board, the company received federal approval to launch in the U.S. (Trump Jr. has also served as a strategic advisor to Polymarket’s main competitor Kalshi since January.)

Polymarket’s rapid rise has drawn critics. Dennis Kelleher, co-founder and CEO of Washington-based financial advocacy group Better Markets, told Forbes in an email that the current administration’s deregulation around prediction markets has unlocked a regulatory “loophole” to enable “unregulated gambling” under the CFTC, “which has zero expertise, capacity or resources to regulate and police these markets.” Kelleher added that with backing from the Trump family “who are directly trying to profit on this new gambling den
 the massive deregulation and crypto hysteria will almost certainly end badly for the American people.”

Investors and businesses are scrambling to seize the moment of deregulation. “We had opportunities to invest in events markets earlier, but there was a lot of risk,” Sprecher says, listing the regulatory changes in favor of crypto and prediction markets under the current administration. “This was the moment to invest if we wanted to still be early in the space.”

In the last few months, Trump’s Truth Social and sportsbook FanDuel, as well as cryptocurrency exchanges Crypto.com, Coinbase and Gemini all announced their own plans to offer prediction markets. Robinhood CEO Vlad Tenev said prediction markets, which were integrated into its platform in March, were helping drive record activity for the retail brokerage in its third quarter earnings call.

“People are starting to realize right now that the opportunities are endless,” says Dubin, the billionaire hedge fund veteran who invested in Polymarket earlier this year. He points to sports betting companies, which have been regulated by states as gambling activity and taxed accordingly. States like New York can tax up to 51% of sportsbooks’ revenue, but federally-regulated prediction markets can bypass state laws, avoiding taxes and operating in all 50 states. With the realization that prediction markets could upend the sports betting industry—which brought in $13.7 billion in revenue in 2024—businesses are quickly jumping on board despite pushback from state gambling regulators. In October, both Polymarket and Kalshi secured partnerships with sportsbook PrizePicks and the National Hockey League, and Polymarket announced exclusive partnerships with sportsbook DraftKings and the Ultimate Fighting Championship.

The disruption won’t be limited to sports betting. Alongside its investment, Intercontinental’s tens of thousands of institutional clients including large hedge funds and over 750 third-party providers of data will soon have access to Polymarket data, as it gets integrated into Intercontinental’s products such as indices to better inform investment decisions. It also hopes to work with Polymarket to work on initiatives around tokenization—or converting financial assets into digital tokens on blockchain technology—to allow traders on Intercontinental’s exchanges to trade more flexibly at all hours of the day, Sprecher says. What’s more, in November, Google Finance announced it would integrate Polymarket and Kalshi data into its search results, while Yahoo Finance also announced an exclusive partnership with Polymarket.

Despite flashy investors, partnerships and a record $2.4 billion of trading volume in November, Polymarket has yet to launch in the U.S. or turn a profit. Coplan and his investors have hinted at ways the company could make money one day—selling its data, charging fees to users, launching a cryptocurrency token (similar to Ethereum or Bitcoin)—but decline to confirm any specifics. For now, the only thing that’s certain is the bet Coplan is making on himself. “Going for it and having it not pan out is an infinitely better outcome than living your life as a what if,” he says.

Standing across from the New York Stock Exchange building, Coplan tilts his head up as he watches a massive banner with Polymarket’s logo get hoisted onto the exterior of the building. It’s been five years since founding. One year since the FBI raid. He’s taking it all in. “Against all odds,” the bright blue banner reads, rippling in the wind alongside three American flags protruding from the building.

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Epstein-Linked Emails Expose Funding Ties to Bitcoin Core Development — Here Is What the Documents Reveal
  • Newly released emails show Jeffrey Epstein helped fund MIT’s Digital Currency Initiative, which supported Bitcoin Core development.
  • The documents also confirm that Leon Black donated to MIT’s Media Lab through Epstein-directed channels.
  • The revelations reshape part of Bitcoin’s early institutional funding history and highlight long-hidden influence from controversial donors.

Newly unsealed emails from the House Oversight Committee have shed fresh light on Jeffrey Epstein’s hidden financial influence inside MIT’s Media Lab — and more importantly, how some of that money flowed into Bitcoin Core development. The correspondence reveals that Joichi Ito, then-director of the MIT Media Lab, relied on Epstein-connected “gift funds” to rapidly launch the Digital Currency Initiative (DCI) in 2015, the research hub that became one of the primary sources of funding for Bitcoin’s core developers.

Emails Show Epstein-Connected Money Helped Launch MIT’s Digital Currency Initiative

In the newly surfaced emails, Ito directly thanked Epstein for the financial help that allowed MIT to “move quickly and win this round,” referring to the formation of DCI — a program explicitly designed to provide long-term support for Bitcoin Core contributors after the collapse of the Bitcoin Foundation. Ito’s forwarded message to Epstein described how the foundation’s implosion left core developers without stable funding, creating an opening for MIT to bring them under its umbrella.

He explained that three major developers — including Wladimir van der Laan and Cory Fields — agreed to join MIT, calling it “a big win for us.” The email also highlighted early support from prominent academics, including cryptographer Ron Rivest and IMF economist Simon Johnson. Epstein simply replied: “gavin is clever.”

Funding Numbers Reveal a Much Larger Financial Trail

MIT publicly claimed that Epstein donated $850,000 to the institution, with $525,000 flowing to the Media Lab. But journalist Ronan Farrow later reported the true figure was closer to $7.5 million — including a $5 million anonymous donation connected to Epstein associate Leon Black. The new emails appear to confirm that Black not only donated, but did so through Epstein’s direction.

One email from Ito to Epstein reads: “We were able to keep the Leon Black money, but the $25K from your foundation is getting bounced by MIT back to ASU.”

 

Epstein responded: “No problem — trying to get more black for you.”

The documents reveal Epstein’s influence reached deeper into Bitcoin circles than previously acknowledged, even including early conversations with Brock Pierce — another figure with documented ties to both Epstein and controversy surrounding early crypto foundations.

MIT’s Internal Concerns and the Fallout

The emails also expose MIT’s internal unease around anonymous or reputationally risky donations. After the scandal broke, Ito resigned in 2019. MIT later tightened donation policies, warning that “everything becomes public” eventually — a statement that now seems prophetic given this week’s disclosures.

Developers like Wladimir van der Laan say they were unaware of the extent of Epstein’s involvement and noted that DCI’s funding transparency “was not great back in the day.” The Media Lab and DCI declined to comment.

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