YouTube Scanner

The YouTube Scanner will be a dedicated module within the DApp designed to extract insights from influencer content by leveraging AI-driven video analysis, that will be displayed in a well-organized and informative dashboard. This feature will allow users to monitor key opinion leaders (KOLs) on YouTube and identify emerging token narratives, sentiment, and social traction—providing a real-time edge in early-stage trend detection.

Channel Selection and Management

Users will be able to either select from a list of pre-approved YouTube channels or add new ones for monitoring. Upon submission of a new channel, the platform initiates an automated verification process that checks for a minimum subscriber threshold and confirms that the content is crypto-focused. Verified channels are added to the monitored list, and users are notified accordingly. If a channel cannot be verified, the user a message is returned indicating that the channel does not meet the verification criteria and will not be added to the monitored list.

Video Monitoring and Sentiment Analysis

The YouTube Scanner displays a live feed of newly published videos from all selected channels. Each video entry includes the thumbnail, title, and upload time. The platform’s AI engine processes the content to identify tokens mentioned and classifies each mention as positive, neutral, or negative based on contextual sentiment.

When a user selects a video from the dashboard, the system displays a summary of all identified tokens along with:

🔹 Token name

🔹 Associated sentiment classification

🔹 Token contract match (when identifiable), including match confidence or verification badge

🔹 Status indicator (e.g., Match Found, Unverified Token, Symbol Conflict)

Token Screening and Verification

Verified tokens will undergo additional screening using both social and on-chain data:

🔹 General Checks:

• Verified presence on X (Twitter) with sufficient follower count

• Existence of a functional and valid project website

🔹 On-Chain Checks (via integrations with CoinGecko, CoinMarketCap, Dexscreener, and Dextools):

• Liquidity lock status (Locked / Unlocked / Unknown)

• Market capitalization check against a configurable upper threshold (default: <$100K)

All results are presented in a concise interface, with expandable details for each token and a settings panel allowing users to customise filtering criteria such as follower count and market cap limits.

Token Mention Statistics

A dedicated analytics interface allows users to track token mentions across influencers and time. For each token, the system aggregates:

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🔹 Total number of mentions

🔹 Breakdown by influencer (same or different KOLs)

🔹 Timestamped video references

Users can filter or sort tokens by criteria such as recency, number of mentions, or influencer credibility.

Clicking on a token opens a profile page displaying:

🔹 A timeline view of mention activity

🔹 Linked videos and associated sentiment

🔹 A summary of screening results from both social and on-chain analyses

Optional Features

To enhance usability and engagement, the YouTube Scanner will support:

🔹 Alerts: Optional push, email, or Telegram notifications when a newly mentioned token passes all screening filters.

🔹 Watchlist: Users will be able to add tokens manually to track for future mentions or developments.

🔹 Export: Data can be exported in CSV or JSON format for offline analysis or integration into other systems.