Documentation

Overview
FourYourSafety (FYS) is a comprehensive crypto-Twitter intelligence browser extension designed to track, monitor, and analyze activities on Twitter/X related to cryptocurrency. The extension provides real-time intelligence on deleted tweets, token addresses, follower changes, and profile modifications. Enabling traders and researchers to make better decisions.
How to Install
In the github, click on the green button "Code" in the top right of the repo
Download ZIP

Extract the folder called "FYS Extension" from the zip file
Go to chrome://extensions
Enable developer mode in the top right
Drag the folder you just extracted and drop it in this screen
Ensure that the slider is turned on and the extension is active
Alternatively: click on "Load Unpacked" in the top left and select the folder to import it that way
If done correctly, you should see the screen below. You've succesfully installed FYS!

How to Use
Visit any X page, let's take x.com/yeguybsc as example
Click on the newly-appeared FYS icon bubble next to the Follow button
From here, you can navigate to which data you want to access

We are now greeted with a plethora of features within this pop up
If we want to see their CA's, just click on "Contracts" and wait for it to fetch all their (deleted) tweets
You will see the CA, coin metrics, original tweet and it's contents. Even if deleted
The same works for the other functions, straightforward and do exactly what they're called

Deleted Tweets Tracking
Archives deleted tweets from crypto influencers
Prevents loss of key information that gets removed
Real-time monitoring and archival system
Contract Address (CA) Tracking
Monitors deleted token addresses and contract changes
Identifies rug pulls and suspicious activities
Detects when profiles/projects/influencers remove token promotion tweets
First Followers Analysis
Identifies the first followers of new accounts
Reveals early supporters and potential insider connections
Profile Changes Monitoring
Tracks bio and username changes over time
Detects rebranding attempts and identity shifts
Key Followers Analysis
Analyzes follower networks
Identifies key influencers and connection patterns
Real-time Alerts (Coming Soon)
Technical Architecture

Extension Stack
Language: JavaScript (core extension)
Frontend (website companion): Next.js 14+, TypeScript, TailwindCSS, shadcn/ui
Utilities: Custom JS modules for Twitter data processing
Extension Structure (Simplified)
/extension
/scripts
- apiService (code that handles the data processing)
- background.js
- content.js
- popup.js
/utils
- apiClient.js
- tweetUtils.js
/assets
- icons/
- css/
manifest.json
API Integration

Key Endpoints
getFirstFollowers(user, how, page)
→ First followers of an accountgetBioHistory(user, how, page)
→ Historical bio changesgetPastUsernames(user, how, page)
→ Username historygetDeletedTweets(user, how, page)
→ Deleted tweetsgetLatestTweets(user, how, page)
→ Most recent tweetsgetScoredFollowers(user, how, page)
→ Follower quality & influence
Features
API key authentication
JSON request/response handling
Credit system filtering
Error handling & retry logic
Tweet Processing Utilities
filterTweetsWithAddresses(tweets)
→ Extract BSC-related addressescombineTweets(deleted, latest)
→ Merge & deduplicate listsprocessTweets(deletedResult, latestResult)
→ End-to-end pipeline
Design Principles
Utility-first design for readability and speed
Minimal UI overlay on Twitter/X
Privacy-conscious: data stored locally unless explicitly queried
Performance-oriented: fast background scripts, non-intrusive DOM interaction
Extension Features
Real-time monitoring of Twitter data
Lightweight popup dashboard for quick access
Background scripts handle data fetching and storage
Configurable options for alerts & filters
Token Utility ($FYS)
Access Pass: Free access for token holders
No Subscriptions: Token replaces monthly fees
Governance: DAO decides thresholds and feature access
Benefits:
Early access to new features
Voting rights on roadmap
Exclusive channels & premium tools
Use Cases
Traders
Detect pump & dump "rugpull" schemes
Monitor deleted token promotions
Track influencer sentiment changes
Find alpha
Researchers
Archive deleted crypto content
Study influence networks and insider behavior
Analyze narrative evolution across Twitter/X
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