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  • đź›  AO1 at the Solana Hackathon
  • đź§  The AO2 AI Agent Economy
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  • đź§  Why We're Here
  • 🚀 Hackathon Focus Areas
  • 🔍 What Makes AO1 Different
  • 👨‍💻 Who’s Building AO1?
  • 👥 What We’re Looking For
  • âś… What’s Already Live
  • 📍 What’s Next
  • Closing Thoughts

đź›  AO1 at the Solana Hackathon

PreviousWhy AO1Nextđź§  The AO2 AI Agent Economy

Last updated 1 month ago

We’re excited to share that AO1 is participating in the Solana Hackathon, hosted by in collaboration with the Solana Foundation. This is a huge opportunity for us to push AO1 further, refine our tech stack, and connect with builders focused on real-time data, on-chain intelligence, and next-gen consumer tools.

đź§  Why We're Here

AO1 is built around one core idea: give Solana traders smart, real-time tools to discover and act on emerging token trends.

Since we started building in late 2024, we’ve focused on infrastructure, scraping systems, and a modular AI agent — Agent Penelope — capable of interpreting live market data and delivering useful insights.

This hackathon is a chance for us to accelerate that work, test new modules, and collaborate with others building at the intersection of AI, data, and crypto trading infrastructure.

🚀 Hackathon Focus Areas

We're dedicating this sprint to three major technical improvements:

1. Real-Time Token Intelligence Engine

We’re expanding our current data ingestion pipeline to support:

  • Live indexing of Pump.fun token launches (via custom scraper API)

  • On-chain tracking of wallet behavior, deployments, volume, and liquidity

  • Cross-referencing new token activity with existing trader behavior

This serves as the foundation for everything Agent Penelope analyzes.

2. Agent Penelope v2 – Narrative-Aware Token Analysis

We’re giving Penelope a serious upgrade with:

  • Semantic analysis of social sentiment across Telegram and X

  • Early narrative detection and ranking

  • Risk-scoring based on holder count, LP trends, and behavioral clustering

  • Custom alert logic for user-defined triggers (e.g. “Alert me when volume spikes 3x within 30 minutes on tokens under $5M cap”)

3. AI-Based Alerting and Watchlist System

We’re building out an alert layer that allows users to:

  • Subscribe to Penelope-curated token lists

  • Get notified about high-momentum events (wallet flows, influencer mentions, liquidity changes)

  • Receive real-time updates via Telegram, with mobile push in progress

This is designed to make AO1 not just a scanner, but a reactive intelligence system.

🔍 What Makes AO1 Different

Most token tools show you what already happened. AO1 focuses on what’s happening right now — and what actions users can take based on that.

Key differences:

  • AI-native experience: Ask Penelope exactly what you’re looking for in plain language

  • On-chain and social data fusion: Liquidity, holder activity, and community signals in one system

  • Built for fast decision-making: Traders don’t need dashboards, they need precision alerts

👨‍💻 Who’s Building AO1?

We’re a small group of university students based in Canada, passionate about crypto and machine learning. AO1 is our way of applying what we know technically to a real, fast-moving market with real users.

Everything is built in-house — infrastructure, frontend, scraping tools, agent design — and we’re committed to making this product as useful as possible for on-chain traders.

👥 What We’re Looking For

As part of the hackathon, we’re looking to:

  • Collaborate with other teams building in data tooling, intelligence systems, or Solana infra

  • Gather feedback on Penelope’s outputs and alert performance

  • Explore integrations with wallets, aggregators, and community hubs

  • Connect with potential partners who share a vision for fast, AI-driven crypto tooling

✅ What’s Already Live

📍 What’s Next

Following the hackathon, we plan to:

  • Launch a deeper suite of Penelope prompts and templates

  • Expand our indexing to cover Solana DEX activity and on-chain swaps

  • Develop an in-browser/mobile experience with push alerts

  • Introduce user feedback loops to train the agent’s responses

  • Explore light token mechanics if aligned with usage


Closing Thoughts

This hackathon is a chance for us to prove what we’re building — not just pitch it.

We’re committed to making AO1 a real-time intelligence layer for Solana-based tokens, with the kind of speed and clarity today’s traders need. If you’re building something similar or want to jam on ideas around discovery, agents, or data indexing, we’d love to connect.

—

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