PlayFi Gaming Twitter Space - Faces of PlayFi - Revelo Intel

PlayFi Gaming Twitter Space – Faces of PlayFi

In this episode of PlayFi Gaming Twitter Spaces on April 26, 2024, host Jyro Blade and guest Arius from PlayFi Gaming explored the cutting-edge developments in harnessing real-time game data for enhanced gaming experiences. They discuss PlayFi’s unique approach to game-data extraction and AI processing, discussing the integration of their technology in existing games and the potential for revolutionizing player interaction and game analytics. Read our notes below to learn more!


Jyro Blade (Host) – Product Lead at PlayFi Gaming

Ben @Arius (Guest) – Founder of PlayFi Gaming

PlayFi Gaming – a layer that allows real-time game-data to be extracted from games in a verifiable way

Navigating Web3 Challenges

  • Jyro introduces himself as Jyro Blade, the product lead at PlayFi, detailing his extensive background in game development and his deep involvement in the Web3 space, particularly in Web3 games.
  • Ben, also known as Arius, shares his background as the founder of PlayFi, recounting his entrepreneurial experience and the inception of PlayFi during the COVID-19 pandemic.  
  • Jyro discusses the current focus of most Web3 gaming teams, which includes aggregating Web3 games and improving interoperability, as well as attracting traditional gaming platforms to adopt Web3 technologies.
  • Arius explains that, unlike others, PlayFi focuses on utilizing existing Web2 and Web3 game data, enhancing data management, and creating enriched Web3 experiences without necessarily converting games to their platform.

Revolutionizing Gaming with PlayFi

  • Arius says that people underestimate the difficulty of migrating users across platforms and ecosystems, citing major banks as examples of companies delivering poor user experiences while retaining market share. He notes that Web3 gaming remains an experiment with only about 2.5 million users compared to the 3.3 billion in traditional gaming.
  • Arius explains that PlayFi focuses on the much larger mass-market gaming sector and existing games instead of developing new ones. He introduces the three elements of PlayFi: PlayChain, data processing, and decentralized storage.
  • Jyro describes PlayChain as a modern, fast, and cheap ZK stack based blockchain that uses zero-knowledge proofs for its layer-2 mechanisms. It’s EVM compliant, meaning existing Ethereum smart contracts and protocols can easily launch on PlayChain.
  • Jyro mentions that PlayChain already supports NFT collections and infrastructure and functions like a traditional blockchain, with some unique nuances.
  • Jyro elaborates that PlayChain is only half of what they are building and that its nuances will become clearer when they discuss the other half.
  • Arius shares that AI data processing originated from a sports startup project aimed at recognizing amateur players and actions. Although paused initially, the technology was repurposed six months ago to apply to video games.
  • Arius explains that AI data processing captures gigabytes or terabytes of streaming data from multiple sources and crunches it into a small packet that can be efficiently written to the blockchain.
  • Arius highlights that PlayFi’s secret sauce lies in processing this data in real time, enabling key gaming events to be tokenized and recorded on-chain.
  • Jyro praises the live, working version of this technology already integrated with a game and attributes their progress to the foundational work done over time.
  • Arius emphasizes that the killer feature of AI data processing is allowing anyone to train their own model for any game they want, enabling data-driven User-Generated Content (UGC).
  • Arius says that PlayFi aims to decentralize game data and make it easy for non-technical people to create AI models for their favorite games, with modularity and compositional design.
  • Jyro adds that training AI feels intimidating but will be simplified by PlayFi’s modular approach, allowing users to help the AI recognize relevant fields like player names.
  • Jyro envisions developers and gamers training AI for their games with low overhead, leveraging pre-trained models and simple allocations.

Transforming Gaming with Decentralized Infrastructure

  • Arius asks Jyro to explain how the decentralized storage interacts with nodes within their infrastructure.
  • Jyro explains that their system, PlayBase, involves AI and modular nodes that can perform multiple operations. These include AI processing, data storage, and zero-knowledge proof generation for data security. These nodes are crucial for the decentralized network, helping to condense large amounts of data into manageable formats and secure it.
  • Jyro emphasizes the importance of node operators in maintaining network efficiency and security, noting they will be compensated with place tokens for their efforts. He mentions an upcoming node sale in June.
  • Arius shifts the discussion to the applications of their technology in gaming, highlighting the limitations of traditional game development companies like Nintendo in terms of data accessibility.
  • Jyro points out how PlayFi enables building decentralized tournaments and other gaming experiences by harnessing real-time game data, which circumvents the need for API access.
  • Arius discusses how outdated most gaming marketplaces feel and the potential of PlayFi to enhance these experiences with decentralized finance elements and trustless exchanges. He expresses concern about the current risky methods of trading in-game assets.
  • Arius also explores how PlayFi could revolutionize user acquisition for game developers by using shared data to provide new players with a more engaging start in new games.
  • Jyro highlights the benefits of PlayFi for game publishers and developers, including enhanced analytics and community-driven development tools, which add value without requiring additional resources from the game developers themselves.

Partnering for Progress in Gaming

  • Arius says that although people often assume PlayFi is another Web3 ecosystem upon first hearing about it, it actually aims to partner with existing ecosystems rather than compete.  
  • Arius dismisses the notion that their AI use is similar to trendy, large-scale AI projects, clarifying that their AI is designed for efficiency and practicality, especially for mobile use.
  • Jyro highlights the specialized use of AI in processing game data, detailing how it transforms complex data into optimized, useful formats without aiming to cover unrelated tasks.
  • Arius announces upcoming significant developments for PlayFi, including a node sale and the launch of the PlayFi Token on their mainnet, which aims to integrate seamlessly into user experiences without them noticing its blockchain base.
  • Jyro outlines PlayFi Token’s economy within their system, explaining how it rewards quality data uploads and reliable node operation. He also discusses the role of Oracles in connecting PlayBase and PlayChain to enhance data accessibility and utility across various platforms.

Marketing and Milestones

  • Kate announces PlayFi’s partnership with Serotonin, a well-respected marketing agency, which will focus on PR and growth marketing to increase project visibility and user engagement. Additionally, she mentions that a new website launch is imminent, and hints at upcoming major partnerships and promotions related to their project quests.
  • Jyro adds closing remarks about upcoming milestones such as the node sale and the main net launch, stressing the importance of following their social media for updates and opportunities linked to token distribution.
  • Arius discusses the usefulness of the Testnet phase for gathering data and ensuring the robustness of their blockchain against various uses. He promotes participation in the PlayFi Testnet as a means to earn recognition within their community.

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Show Information

  • Medium: Twitter (Audio)
  • Show: PlayFi Gaming Twitter Spaces 
  • Show Title: Faces of PlayFi
  • Show Date: April 26, 2024