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Season 3Episode 98

Building Mobile First Dapps with Variance

January 6, 2024
47m
2 Guests

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About This Episode

In this episode of DevNTell, Narb welcomes Peter and Godwin to discuss Building Mobile First Dapps with Variance. The guests introduce themselves and provide an overview of Variance, an open-source project focused on making mobile development with Web3 technology easier and more accessible. They highlight the current dominance of mobile device usage and the corresponding need for robust mobile-first Web3 applications. The presentation delves into the technical aspects of Variance, including its use of Flutter for cross-platform development, integration with the Safe Protocol, and the implementation of passkey-based signatures for enhanced security and a smoother user experience. They also explore the concept of a modular plugin approach to extend the SDK's capabilities. The episode concludes with a brief coding demonstration showing how simple it is to create a smart account using the Variance SDK and instructions on how developers can access and start building with their tools.

Key Takeaways

1

Variance is an open-source SDK designed to simplify the development of mobile-first decentralized applications (dApps).

2

A mobile-first approach is crucial for Web3 adoption, given that approximately 88% of digital media time is spent on mobile devices.

3

Flutter was chosen for the SDK due to its efficient cross-platform development capabilities, allowing for shared codebases across multiple operating systems.

4

The SDK leverages the Safe Protocol's modular architecture and ERC-4337 to enable sophisticated smart contract wallet features.

5

Passkeys offer a more secure and user-friendly alternative to traditional private keys, utilizing device biometrics for transaction signing.

6

The modular design of the SDK includes a plugin approach, allowing developers to easily integrate external functionalities like Uniswap or push notifications.

Featured Guests

P

Peter

Variance Representative

Variance
G

Godwin

Variance Representative

Variance

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