X Feature Request Volume
Aggregates user feature requests for a product on X over the last 60 days, grouped by theme with counts and sentiment.
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How to Use X Feature Request Volume
- Enter keyword, @handle or topic in the main input field. Be as specific as possible for better results.
- Configure your preferences: Timeframe, Detail Level.
- Click 'Generate' and wait a few seconds for the AI to process your request.
- Review the generated output. Use 'Regenerate' for a different variation or 'Copy' to use the result.
- Refine your input or adjust settings and regenerate until you're satisfied with the result.
Use Cases
A product manager building the next quarter's roadmap with a demand-ranked list of what users publicly ask for.
A founder validating whether a feature they are considering is something users are already requesting on X.
A growth team spotting a fast-rising request theme that signals an emerging competitive gap.
A customer success lead gathering verbatim, dated requests to back an internal prioritisation case.
A competitive analyst checking which missing features users keep asking a rival product for.
Tips for Best Results
- Be specific in your input — detailed descriptions produce better results.
- Try generating multiple times with different settings for varied outputs.
- Review and customize the AI output before using it in production.
- Start with a clear brief including target audience and key message.
Frequently Asked Questions
What does X Feature Request Volume do?
It finds X posts over the last 60 days where users request features from a target product, groups them into themes, and shows how many posts back each theme plus the overall sentiment, with sample post URLs for evidence.
How are requests grouped into themes?
Semantically similar asks are clustered together, so 'please add dark mode', 'my eyes hurt at night', and 'need a night theme' roll up into one theme with a combined count, rather than appearing as three unrelated posts.
Which product should I enter and how?
Enter the product name as users refer to it on X, including the @handle if it is commonly tagged. Requests are often phrased as replies to the company account, so the handle helps surface them.
Can it tell me what to build next?
It tells you what is being asked for most loudly on X, which is one input into prioritisation. Vocal X demand can over-represent power users, so combine it with your support tickets and revenue data.
Why might the counts undercount real demand?
Most users never tweet a feature request; they file tickets, vote on a roadmap, or stay silent. The counts reflect public X chatter only, so treat them as a directional signal of relative demand, not absolute numbers.
Does it include sentiment, and why does that matter?
Yes, per theme. A heavily requested feature posted with frustration ('still no API, unusable') signals churn risk differently than the same request posted hopefully, which helps you triage urgency, not just volume.
How is this different from a bug report monitor?
This tracks requests for things that do not exist yet (new features, integrations). X Bug Report Monitor tracks complaints about things that are broken. Use them together for a full voice-of-customer picture.
What does it cost?
Free with 5 runs per day and no signup. Pro is $19/month for unlimited runs if you monitor requests regularly.
We don't store your text. Processing happens in real-time and your input is discarded immediately after generating the result.
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Free users: 5 uses per day | Pro users: Unlimited
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