Airstack, the trailblazing Web3 developer platform, has successfully garnered over $7 million in a recent pre-seed funding extension spearheaded by Superscrypt. Known for its distinctive AI-backed ability to handle cross-chain data using natural language requests, Airstack is carving a niche for itself in the crypto universe.
Airstack's CEO, Jason Goldberg, revealed the inspiration behind the platform. A comprehensive understanding of developer tool usage and challenges, accumulated over a year of extensive interviews, formed the blueprint for Airstack. The platform was designed to specifically tackle these developer pain points.
Since its launch in April, Airstack has been a hub for developers, drawing in over 200 of them. The platform has served as the springboard for a myriad of projects, ranging from marketing engines and DeFi portfolio optimizers to customer resource management tools, advertising platforms, and decentralized social and messaging applications.
Airstack empowers developers to query, amalgamate, and combine data from a variety of sources, whether it's on-chain, off-chain, cross-chain, or cross-application. For instance, a simple natural language query related to Polygon's native MATIC token might go like this: "Show all MATIC token holders with at least 10,000 MATIC, along with their token balances, and their ENS, Lens, and Farcaster."
The initial phase of Airstack's funding took place in the third quarter of 2022, with Polygon among the early backers. Other investors included Hashed Emergent, NGC, Primal Capital, UOB Ventures, and Signum Capital.
In parallel with the funding announcement, Airstack introduced an enhanced version of its Jam social app. Built on Farcaster and Ethereum, the iOS and Android app features user profiles and groups revolving around users’ Web3 collectibles.
Currently, Airstack offers its services free of charge. However, a pricing model is on the horizon, according to Goldberg. The immediate focus, though, is to onboard thousands of developers onto Airstack. The aim is to identify high-value areas and genuine business use cases before finalizing the pricing model.
