Scamplexity

A modern, AI-powered web application that analyzes cryptocurrency projects and companies to detect potential scams.

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Inspiration

As a cryptocurrency investor, I’ve grown used to spotting red flags—random messages from unknown companies, shady whitepapers, or too-good-to-be-true airdrops. I always research thoroughly before making investment decisions. But one conversation with my grandfather stood out—he nearly fell for a crypto scam that targeted older investors. That made me realize that not everyone has the time, tools, or tech know-how to spot scams. I wanted to build something that could serve as a protective layer for people like him, using AI to detect and flag suspicious crypto projects automatically.

What it does

Scamplexity is an AI-powered tool that helps users detect crypto scams by analyzing online data. Users can enter the name of a crypto project or company, and Scamplexity returns a detailed risk score with supporting evidence.

Powered by Perplexity AI:

  • Extracts relevant posts and data from Twitter/X, Reddit, and official websites using Perplexity
  • Evaluates the trustworthiness of those claims using Perplexity's LLM
  • Provides a risk score and explanation
  • Flags known scam patterns such as phishing, rug pulls, fake airdrops, and more

How we built it

  • Frontend: Built with Next.js, React, and Tailwind CSS
  • Backend: FastAPI with integrations to social media APIs and Perplexity AI
  • Database: SQLite for storing analysis logs
  • Perplexity AI is used in two key ways:
  1. To extract and summarize scam-related discussions across the web
  2. To verify and evaluate the extracted claims for potential scam indicators

Challenges we ran into

  • Extracting clean, useful insights from noisy social media data
  • Designing prompts that return relevant, accurate information
  • Aligning risk scoring with scam patterns across diverse sources

Accomplishments that we're proud of

  • Fully integrated Perplexity AI for both data extraction and evaluation
  • Successfully detected known scams during testing
  • Built a working full-stack app with a clean and intuitive UI

What we learned

  • How to leverage Perplexity for real-time information retrieval and verification
  • Effective prompt engineering for multi-step analysis tasks
  • Insights into common crypto scam tactics and trends

What's next for Scamplexity

  • Let users report and submit suspicious projects for review
  • Create a database of scam using Perplexity
  • Use Perplexity for ongoing scam monitoring and alerting

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