Judge Notes by subscribers, not likes
A writer tracking her own Notes found a highly liked Note brought far fewer subscribers than an identity call-out with fewer likes. Track new subscribers and profile visits alongside likes before you decide what to repeat. The tool used here is WriteStack. Check the tool's own site for current features and prices, since they change.
Done with WWriteStack
"Likes can fool you"thrivewithcarrie.substack.com
How do you do it, step by step?
- A writer tracking her own Notes found a highly liked Note brought far fewer subscribers than an identity call-out with fewer likes.
- Track new subscribers and profile visits alongside likes before you decide what to repeat.
- Copy the prompt on this page into WriteStack and fill in your own details.
- Edit the output in your own voice and check any facts before you publish.
Which tool does this use?
WriteStack. See all WriteStack use cases or more in Analytics.
What does it cost?
Not listed on the tool site.
What should you watch out for?
Features and prices change. Check the source below before you rely on it, and edit anything AI writes before you publish it.
What prompt should you use with WriteStack?
Here are my recent Notes with likes, comments, restacks and new subscribers. Rank them by new subscribers first, then tell me which formats and topics convert even when likes are modest. Do not invent numbers that aren't in the data.Open WriteStack ↗
Frequently asked questions
How do I judge Notes by subscribers, not likes?
A writer tracking her own Notes found a highly liked Note brought far fewer subscribers than an identity call-out with fewer likes. Track new subscribers and profile visits alongside likes before you decide what to repeat. The tool used here is WriteStack. Check the tool's own site for current features and prices, since they change.
Which tool do I need for this, and what does it cost?
This use case uses WriteStack. Pricing isn't listed here. Check writestack.io for current prices.
What prompt can I use?
Here are my recent Notes with likes, comments, restacks and new subscribers. Rank them by new subscribers first, then tell me which formats and topics convert even when likes are modest. Do not invent numbers that aren't in the data.
What are related use cases?
- Find posts stuck on page two of Google (Google Search Console)
- Read your newsletter stats before writing the next issue (beehiiv AI)
- Analyze a CSV export of your post stats (ChatGPT)
- Check how your posts performed (Typefully)
- Engage by hand, batch the rest (WriteStack)
- Schedule Substack Notes ahead of time (WriteStack)
Where does this come from?
Checked Oct 14, 2026.
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