Mimir vs Canny

Canny counts votes. Mimir understands why customers want things and recommends what to build.

At a glance

DimensionMimirCanny
Core approachAI analyzes feedback, generates ranked recommendationsPublic feature request boards with user voting
Time to first insight~60 secondsWeeks (requires user adoption of voting board)
Output typeRecommendations with specs and agent tasksRanked feature requests by vote count with changelog
AI capabilitiesFull pipeline: extraction, synthesis, recommendations, projectionsAI-assisted deduplication and categorization
Best forPMs and founders who need to decide what to buildTeams wanting a public feature request board for users
PricingFreeFree tier; paid starts at $79/month

Voting vs understanding

Canny gives your users a place to suggest features and vote on them. It is a simple, effective model: the features with the most votes rise to the top. Your team gets a clear signal about what users are asking for, and users feel heard because they can see their requests acknowledged on a public board.

The limitation is that votes measure popularity, not importance. A feature requested loudly by free users might get more votes than a critical pain point mentioned quietly by your highest-value customers. Canny tells you what people want. It does not tell you what matters most for your business.

Mimir takes a different approach. Instead of asking users to self-report, it analyzes whatever feedback you already have — interviews, support tickets, survey responses — and synthesizes it into recommendations weighted by evidence, not votes.

Collection vs action

Canny is fundamentally a collection tool. It collects feature requests, organizes them, and gives you a sorted list. What you do with that list is up to you. The gap between "here are the top-voted features" and "here is what we should build next and why" is still a judgment call you make on your own.

Mimir closes that gap. Its output is not a sorted list of requests — it is a set of recommendations with rationale, evidence, impact projections, and development-ready specs. The goal is to hand you a decision you can act on, not data you need to interpret.

Where Canny genuinely shines

Canny is excellent if you want a public-facing feedback channel. The voting board doubles as a community engagement tool — users can see what others are requesting, follow features they care about, and get notified when something ships. The changelog feature closes the loop nicely, showing users that their feedback led to real changes.

Mimir does not have a public-facing component. It is an internal tool for product decision-makers. If your goal is community engagement and transparency about your roadmap, Canny is the right choice. If your goal is making better product decisions faster, that is what Mimir is built for.

Who should use what

Choose Mimir if...

  • You want evidence-based recommendations, not popularity-based voting
  • You need to analyze feedback you already have, not collect new votes
  • You want development-ready specs as output
  • You're making product decisions, not running a community feedback board

Choose Canny if...

  • You want a public-facing feature request board for your users
  • You need a changelog and public roadmap to close the feedback loop
  • You want a simple, focused tool for feature request tracking

Try Mimir free

Paste customer feedback and get ranked product recommendations in 60 seconds. No setup, no credit card.

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