HypeFlow
An AI-powered social trading agent that invests on Aptos based on Twitter hype—transforming community engagement into real on-chain trades.
Created on 11th March 2025
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HypeFlow
An AI-powered social trading agent that invests on Aptos based on Twitter hype—transforming community engagement into real on-chain trades.
The problem HypeFlow solves
Traditional trading strategies rely on manual analysis of market trends, news, and social sentiment, making them slow, inefficient, and prone to human bias. Social media platforms like Twitter heavily influence crypto markets, but traders often struggle to act quickly enough on emerging trends.
How HypeFlow AI Makes Trading Easier & Smarter:
- 🚀 Real-Time Social Trading: Automatically scans Twitter for trending topics, influencer mentions, and sentiment shifts to execute timely trades.
- 🤖 AI-Powered Decision Making: Uses Gemini AI for advanced sentiment analysis, removing emotional bias from trading decisions.
- 🐋 Whale Monitoring: Tracks large on-chain transactions to detect institutional or whale activity and align investments accordingly.
- ⚡ Automated DeFi Investments: Eliminates the need for constant manual trading by integrating with Aptos-based DEXs and yield platforms.
- 🔥 Engagement-Driven Trading: Creates a viral feedback loop where user interaction (likes, retweets) directly influences on-chain actions.
- 🎮 Gamified Rewards: Incentivizes social engagement with Proof of Influence NFTs, rewarding users for contributing valuable market signals. ( coming soon )
Who Can Benefit?
- Retail Traders – Automate trades based on real-time social sentiment without constant market monitoring.
- DeFi Enthusiasts – Gain exposure to trending tokens and yield opportunities driven by community hype.
- Crypto Influencers – Turn their market influence into tangible trading signals and earn rewards.
- Algorithmic Traders – Leverage AI-driven insights to enhance trading strategies with social sentiment data.
With HypeFlow AI, users no longer need to manually analyze sentiment trends or react to market shifts—the AI does it for them, instantly and efficiently.
Challenges we ran into
Building HypeFlow AI came with several challenges, especially when integrating AI, social data, and on-chain execution. Here’s what we faced and how we tackled it:
1️⃣ Famous LLM APIs Are Paid
The Problem:
Many advanced AI models, such as Gemini AI and OpenAI’s GPT, require paid API access, making it costly to continuously analyze social sentiment at scale.
How We Solved It:
- Used a combination of free-tier API calls with strategic caching to reduce costs.
- Implemented lightweight local models for basic sentiment scoring before calling the LLM, reducing dependency on paid APIs.
- Optimized API requests by batch processing tweets instead of analyzing them individually.
2️⃣ Twitter API Is Paid & Rate-Limited
The Problem:
Twitter’s API now requires a paid subscription for full access to real-time tweets, making it expensive for social sentiment tracking.
How We Solved It:
- Used third-party social aggregators - Eliza Twitter Client.
- Implemented delayed polling mechanisms instead of real-time streaming to stay within free-tier limits.
- Designed a fallback system that scrapes public Twitter pages when API limits are hit.
3️⃣ Move Agent Kit Documentation Is Limited
The Problem:
While Move Agent Kit provides powerful tools for automation on Aptos, its documentation lacks detailed examples for advanced use cases like AI-driven trading bots.
How We Solved It:
- Reverse-engineered existing code samples and community projects to fill in gaps.
- Engaged with the Aptos developer community to troubleshoot integration issues.
- Wrote our own internal documentation and tutorials for smoother team collaboration.
By overcoming these hurdles, we successfully built a robust AI-driven social trading agent that seamlessly connects social hype with DeFi investments!
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