30 Blue Sky Web3 Ideas
Random Observation/Comment #834: Let’s make infrastructure boring again. Let’s just make it work so we can focus on the actual applications.
Why this List?
Where will Web3 be in 5 years? We’ve gathered at ETHDenver to manifest and prioritize our strategic roadmap. For the interactive session, we used the divergence-convergence method of breaking out into working groups and throwing sticky notes on a board. Pretty fun! Here were some creative expectations & desires in different categories.
Note: These ideas were in collaboration with the whole Infura team. I’ve contributed a few myself, but I’m mainly just listening, documenting, and summarizing.
Protocol & Settlement Improvements
L2s and appchain explosion – Growth in Layer 2 solutions and multi-chain dapp deployments as Rollups-as-a-Service is more economically viable as a business.
Cross-chain interoperability and abstraction – Enhancing seamless interaction across different blockchain platforms so you have to worry less about which network and what tokens you have in your wallet. If we live in an Amazon world, end users worry more about the speed and price than the actual last mile delivery service.
Bridging becoming more seamless – Easier and more efficient ways to connect disparate and new blockchains.
Sharding as blockchain multi-threading – Ethereum roadmap to add parallel processing to this block-based single threaded global database.
Unification of liquidity in layer 2s (Similar to layer 0) – Reduce fragmentation of chains by having shared tokens or automated balancing of portfolios for developers.
Layer 3s for identity – More niche networks for managing user-specific actions.
Decentralized infrastructure for broader network access – Allow for more services to be published across providers.
State growth management – Keeping blockchain state manageable to ensure scalability and affordability.
User Experience and Accessibility
Feature parity with Web2 UX (“Web2 in the front, Web3 in the back” – the Web3 Mullet) – Simplifying user experience to match the intuitiveness of Web2.
One-click and abstracted experiences – Minimizing complexity for end-users on key management.
Sponsored gas and abstracting away the need for gas – Removing the need for users to deal with gas fees directly when they can be subsidized by larger organizations or returns from MEV.
Decoupling identity from fund ownership and authority delegation – Enhancing privacy and security so your account type can be trusted to do day-to-day social activities without revealing your financial details.
Lower barriers to entry with faster transactions and cleaner outputs – Making it easier for new users to join and interact with Web3 as it matches Web2 mash-up results.
Simplifying transaction language and outcomes – Making blockchain transactions understandable to non-technical users as a receipt for purchases or even donations.
UX improvements for broader adoption – Enhancing the user interface to attract a wider audience.
Financial Innovation and the Creator Economy
ETFs and legitimization of DeFi – Bringing traditional financial products to the blockchain and legitimizing decentralized finance (DeFi) practices for stablecoin balances.
Real-world asset (RWA) tokenization – Bridging the gap between physical and digital ownership using ledgers that have verifiable ownerships.
Reducing costs for Web3 calls – Making it cheaper to interact with blockchain services in order to scale for more transaction frequent use cases.
Innovative economic models for creators (e.g., “Amazon Prime for Web3”, paying creators through Web3, “TikTok for Web3”) – Creating new revenue streams and platforms for the creator economy.
DAO-based bank accounts – Web3 associated bank accounts for corporations as to include taxation and fundraising while maintaining exposure to the asset.
Growth of Airdrops to drive adoption – Using targeted distributions to increase user base and engagement for open source projects and communities.
Generative AI and Gaming Integration
Generative AI and blockchain integration – Utilizing AI to enhance fraud detection, identity verification, and personalize Web3 interactions.
AI-driven development and protocol improvement detection – Accelerating the development process with better code commenting or customer experience calling APIs with transparency.
AI learning by using block-based data learning – Leveraging blockchain as a data source for machine learning models. Specifically having the transactions processed as batch snapshot blocks for further embeddings and learnings in a vector database.
Integrating identities with AI agents – Identity management AI Agents that help with authentication and logins to other accounts. Perhaps the AI Agent is your password manager or a place with multiple developer API environments so you can directly pay for data processing services.
AI Agents in self-custody wallets – This AI Agent may read from your portfolio in order to recommend different transactions or tokens that might match the existing risk settings.
Next level gaming – Games that are fun to play and easy to participate without a focus on tokens or over-promised outreach. Ability to collaborate within the game design and game play while getting compensated for supporting the community.
Dev Ecosystem and Infrastructure
Improvements in developer experience (DevX) and reliable services – Making it easier and more reliable for developers to create and maintain Web3 applications.
Client diversity and ecosystem involvement – Encouraging a range of stakeholders to contribute to the ecosystem’s growth and resilience.
Underlying Web3 trust and rebrand – Shift from cryptocurrency and token gains with grifters to verified and trusted transactions with built-in open source values.
~See Lemons Think Blue Sky
Originally posted on seelemons.com