Analytics & Insights

Browser console scripts for analyzing X/Twitter performance — no API key needed. All analysis runs in DevTools console.

Script Selection

Goal	File	Navigate to
Engagement metrics	src/engagementAnalytics.js	x.com/USERNAME
Best posting times	src/bestTimeToPost.js	x.com/USERNAME
Hashtag analysis	src/hashtagAnalytics.js	x.com/search?q=%23tag
Competitor comparison	src/competitorAnalysis.js	Any page
Follower audit (fake/bot)	src/auditFollowers.js	x.com/USERNAME/followers
Sentiment analysis	src/sentimentAnalyzer.js	Any timeline
Tweet performance ranking	src/tweetPerformance.js	x.com/USERNAME
Viral tweet detection	src/viralTweetDetector.js	x.com/USERNAME
Posting schedule optimizer	src/tweetScheduleOptimizer.js	x.com/USERNAME
Follower demographics	src/audienceDemographics.js	x.com/USERNAME/followers
Follower growth tracking	src/followerGrowthTracker.js	x.com/USERNAME/followers
Content calendar analysis	src/contentCalendar.js	x.com/USERNAME
Engagement leaderboard	src/engagementLeaderboard.js	x.com/USERNAME
Tweet A/B testing	src/tweetABTester.js	x.com/USERNAME
Follow ratio management	src/followRatioManager.js	x.com/USERNAME
Audience overlap analysis	src/audienceOverlap.js	x.com/ACCOUNT/followers
Account health scoring	src/accountHealthMonitor.js	x.com/USERNAME
Shadowban detection	src/shadowbanChecker.js	x.com/USERNAME

Quick Start

1. Navigate to the required page on x.com
2. Open DevTools (F12) → Console
3. Paste the script → Enter
4. Results display in console + auto-export as JSON

Script Details

engagementAnalytics.js

Scrapes your timeline and calculates per-tweet engagement rates (likes + RTs + replies / views). Shows average, median, best/worst performers, and engagement trend over time.

sentimentAnalyzer.js

Lexicon-based sentiment analysis on any timeline. Classifies tweets as positive/negative/neutral. Shows sentiment distribution chart, most positive/negative tweets, and keyword frequency.

tweetPerformance.js

Side-by-side tweet comparison with multi-metric ranking. Sorts by likes, RTs, replies, views, or composite engagement rate. Identifies content patterns that drive performance.

viralTweetDetector.js

Multi-factor viral scoring: engagement velocity, like-to-RT ratio, reply depth, view multiplier. Flags tweets significantly exceeding your baseline. Useful for identifying what resonates.

tweetScheduleOptimizer.js

Analyzes your posting history to build a personalized optimal schedule. Generates heatmaps of engagement by day/hour. Recommends best slots based on YOUR audience's behavior.

audienceDemographics.js

Scrapes follower profiles and classifies by niche (tech, marketing, crypto, etc.), account size, bot likelihood, and verified status. Visual distribution charts.

engagementLeaderboard.js

Ranks users who engage most with your content. Identifies superfans (5+ interactions), regulars, and casual engagers. Exports VIP list for relationship building.

Controls: Auto-run on paste. XActions.pause() / XActions.abort() available.

tweetABTester.js

Create controlled tests between two tweet variations. Post both, track metrics over time, get statistical winner determination with percentage difference.

Controls: XActions.createTest(), XActions.measure(), XActions.results()

followRatioManager.js

Monitors follower/following ratio with letter grades (S→F). Generates 3 improvement paths (unfollow more, gain followers, combination). Tracks ratio history over time.

Controls: XActions.track(), XActions.plan(), XActions.history()

audienceOverlap.js

Compare follower lists between two accounts to find shared followers, unique audiences, and Jaccard similarity. Useful for collaboration decisions and competitor analysis.

Controls: XActions.analyze('accountA', 'accountB')

Strategy Guide

Weekly analytics routine

1. Run src/tweetPerformance.js — identify this week's top content
2. Run src/tweetScheduleOptimizer.js — verify you're posting at optimal times
3. Run src/followRatioManager.js → XActions.track() — log weekly ratio
4. Run src/engagementLeaderboard.js — identify top engagers to nurture

Diagnosing a growth stall

1. src/accountHealthMonitor.js — check overall account health score
2. src/shadowbanChecker.js — rule out shadowban
3. src/audienceDemographics.js — verify you're attracting the right audience
4. src/viralTweetDetector.js — check if you've had any breakout content recently
5. src/competitorAnalysis.js — compare your metrics to peers

Preparing for a content pivot

1. src/sentimentAnalyzer.js — understand current audience sentiment
2. src/tweetPerformance.js — identify what content types work
3. src/audienceOverlap.js — compare your audience with target niche leaders
4. src/contentCalendar.js — find posting gaps to fill

Notes

• All scripts auto-export results as downloadable JSON
• Accuracy improves with more data — increase maxPosts in CONFIG for deeper analysis
• Engagement rates: (likes + retweets + replies) / views
• Scripts only analyze visible browser data — increase scroll rounds for more data
• localStorage used for historical tracking (growth, A/B tests, ratio history)