Hot Tweet Monitoring Guide

Hot Tweet Monitoring is useful when you do not want to scroll blindly and instead want to quickly find tweets that are worth trying to comment on early.

SoPilot continuously tracks and scores candidate tweets around topics like AI and Web3, then sorts them by time, engagement velocity, view potential, and reply potential so you can focus on better opportunities first.

When to use it

• You are in account cold start and want visibility through replies
• You want to prioritize high-potential tweets instead of random timeline browsing
• You want a steadier link between trend discovery and reply execution
• You want a short daily list of conversations worth joining

What to look at on the page

On Hot Tweet Monitoring, you will usually see a list of high-potential tweets for the day.

Useful signals include:

• posting time, since early discovery often matters most
• views and engagement volume
• predicted breakout rate
• predicted reply exposure

If you are still doing replies manually, this page can already function as your daily target list.

Recommended workflow

Option 1: Review manually, then comment

This works well when you are still testing your account voice.

1. Open Hot Tweet Monitoring
2. Review tweets that are recent and clearly gaining traction
3. Pick the ones that fit your positioning best
4. Open the tweet and use AI Quality Replies or reply manually

Option 2: Feed hot tweets into automation

This works better once you already have a stable reply prompt and want more efficiency.

1. Open Automated X Engagement
2. Choose Hot Tweets as the source
3. Set the number of tweets per round, interval, and negative keywords
4. Pick the right reply agent and start the run

How to judge whether a tweet is worth targeting

Prioritize signals like:

• recently posted, ideally still early
• engagement is rising quickly
• topic relevance to your product or audience
• enough discussion potential that your reply can actually add value

High like count alone is not enough. Some posts are already big but not especially useful for comment visibility.

Execution tips

• start with a smaller batch and validate whether your reply style feels natural
• prioritize "add a point" over generic agreement
• use negative keywords to avoid drifting into poor-fit topics
• review which replies got the most exposure and use that to improve your prompts

Related docs

• Automated X Engagement
• AI Quality Replies
• Twitter DM Generation Guide
• X Marketing Workflow Tips

Get Help

• Visit the SoPilot Help Center
• Open Hot Tweet Monitoring to review today's opportunities
• Email [email protected]