SubQuery now Support Indexing on Avalanche

Published on: 08.11.2022
SubQuery now Support Indexing on Avalanche

Avalanche’s next development stage, subnets, are similar to Polkadot’s parachains or Cosmos’ Zones in that they allow developers to construct bespoke blockchains optimized for particular use cases while retaining compatibility with the main chain. Subnets have their own execution logic, fee regime, state, networking, and security.

In addition, they index all Auction events and all cards in their game including offers, asks, and bids. They leverage this data to ease both the user interface and experience in their web frontend. Heroes of NFT credits SubQuery’s websocket services for making their user interface more smooth and dynamic.

SubQuery is a blockchain indexing toolkit that is quick, versatile, and ubiquitous. It enables developers working on Polkadot, Avalanche, Algorand, and Cosmos to concentrate on the core product of their respective companies rather than designing their own indexing solution.

Heroes of NFT also use SubQuery Projects to manage their own project and make updates as required. They take advantage of SubQuery’s enterprise-level hosting to receive dedicated databases, automated deployments, and geographic routing to multiple clusters around the world for performance and uptime.

About Heroes of NFT

Heroes of NFT is a native Avalanche project that has three main pillars: NFTs, Games (idle game and collectable card game) and the Metaverse. Idle games and collectable card games will feature play-to-earn mechanics while the NFTs are the main tools to play both games.

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About SubQuery

SubQuery is the universal data indexing toolkit facilitating the construction of Web3 applications of the future. A SubQuery project is a complete API to organise and query data from Layer-1 chains. Currently servicing Polkadot, Avalanche, Algorand, and Cosmos projects, this data-as-a-service allows developers to focus on their core use case and front-end without wasting time building a custom backend for data processing activities.

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SOURCE: Medium

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