AetherLens : A Real-Time, AI-Powered Data Indexer for Web3

Project Name

AetherLens : A Real-Time, AI-Powered Data Indexer for Web3

Problem Statement

Traditional data indexing (like The Graph) is static and off-chain. Real-time, flexible data querying across dApps and chains is complex, slow, and often outdated. Builders can’t plug in intelligent, low-latency queries into smart contracts.

Solution Overview

AetherLens is an AI-native, real-time data indexing layer. It allows developers to make natural language queries on-chain, powered by on-chain LLMs. Think: a “chatGPT for live blockchain state,” embedded in your dApp.

Project Description

Features:

  • Real-time data aggregation (cross-chain, multi-dApp)
  • On-chain AI query interpreter
  • LLM-powered summarizers (trend detection, analysis)
  • dApp plugin for user dashboards, governance UIs, etc.

Use Cases:

  • Traders get AI-generated summaries of liquidity pools
  • DAOs view AI-written health checks of protocol metrics
  • Governance proposals generate insights based on past votes

Powered by:

  • Parallel data sync via Hyperion’s state optimization
  • On-chain LLMs trained for blockchain analytics
  • Modular plugin for devs to integrate into dApps

Community Engagement Features

Gamified Tasks:

  • Run your first query (10 pts)
  • Create a dashboard with live data lens (30 pts)
  • Train an AI summarizer on a protocol (75 pts)
  • Vote on most insightful data lens (10 pts per vote)

Getting Involved

  • Indexers can build custom lenses
  • Data scientists can fine-tune AI models
  • dApp developers can integrate into dashboards
3 Likes

Hello @anishdoteth , how are you?

How are you keeping the on-chain LLM models lightweight enough to run within blockchain constraints? Are you using distilled/fine-tuned models or is inference fully offloaded to off-chain agents?

3 Likes

Looks really interesting! How do you ensure the on-chain LLMs stay up-to-date with the fast-changing blockchain data without sacrificing query speed?

1 Like