FeedbackIQ vs. Featurebase
Feedback · Roadmap · Changelog
Featurebase is the modern take on Canny — cleaner UI, similar pricing, same workflow. You collect feedback, surface upvoted items, and ship a changelog. The AI features focus on categorization and summarization, not code generation.
The FeedbackIQ case
We overlap on the widget, roadmap, and changelog. Where we diverge: FeedbackIQ writes the PR. Every upvoted item is one click (or one AI run) away from a merged commit.
The Featurebase case
Featurebase is the best-looking feedback-tracker in the space. If you're a content/marketing-heavy SaaS and want engagement metrics, surveys, and help-center integration, it's the safer pick.
Feature-by-feature
| Feature | FeedbackIQ | Featurebase |
|---|---|---|
| Feedback widget | ||
| Public roadmap | ||
| Changelog + RSS/Atom | ||
| AI auto-tagging | ||
| Auto-deduplication (vector) | Keyword | |
| Auto-generated pull requests | ||
| GitHub App installed on your repo | ||
| AI-written PR code + tests | ||
| Screenshot attachments | ||
| Surveys | ||
| Help center |
Verdict
Featurebase wins on breadth of product-feedback features. FeedbackIQ wins the moment you count engineer-hours saved per shipped feature.