FeatureWish vs Canny: the free, unlimited-user alternative
Canny prices by how many users you reach. FeatureWish doesn't. Here's the honest, side-by-side breakdown — including where Canny is still the better pick.
Pricing & features last reviewed July 2026.
This is a direct, one-to-one comparison of FeatureWish and Canny — the pricing models, a real cost example, the feature-by-feature differences, and how a migration actually goes. If you’re weighing several tools at once, start with our broader roundup, the best Canny alternatives, and come back here once Canny-vs-FeatureWish is the decision on the table.
The short story: Canny is a mature, capable product priced for teams with revenue to match. Its free plan caps at 25 tracked users and every paid tier is priced by tracked users — the number of people who interact with your feedback — so your bill grows as your board succeeds. FeatureWish is built for the team that model prices out: the full feedback loop — boards, voting, a public roadmap, a changelog, and an embeddable widget — free forever, with unlimited tracked users and unlimited team members, and a single flat $20/month Pro tier for the extras.
Below is the honest breakdown: where FeatureWish wins, and — because pretending otherwise helps no one — where Canny is still the better choice.
The short version
| FeatureWish | Canny | |
|---|---|---|
| Price to start | Free forever | Free (capped at 25 tracked users) |
| Cheapest paid plan | $20/mo flat (Pro) | ~$79/mo (Pro, billed yearly) |
| Tracked users | Unlimited | 25 on free, then priced by reach |
| Pricing model | Flat — never per user or per seat | Per tracked user |
| Team members / seats | Unlimited | Limited by plan |
| Feedback boards | Yes (multiple) | Yes |
| Voting | Yes, with anti-manipulation signals | Yes |
| Duplicate suggestions (as you type) | Yes, free | Paid (Autopilot AI) |
| Public roadmap | Yes | Yes |
| Changelog | Yes | Yes |
| Embeddable widget | Yes (script + iframe) | Yes |
| MCP server (AI agents) | Yes — built-in, $20/mo flat (Pro) | Yes (paid plans, Ideas beta) |
| Self-serve, no sales call | Yes | Yes |
| Deep integrations (Jira, Slack, Intercom, Salesforce) | Core set | Extensive (50+) |
| Enterprise (SSO/SAML, audit logs) | Not the focus | Yes |
Pricing and feature facts about Canny reflect their public plans at the time of writing (July 2026): a free plan capped at 25 tracked users, a Pro plan around $79/month (billed yearly, 100+ tracked users), and a custom-priced Business plan. Canny changes plans periodically — check canny.io/pricing for the current numbers before you decide. For a deeper breakdown of how the tracked-user model actually adds up, see our guide to feedback-tool pricing models.
Why teams leave Canny
The pricing is unpredictable. Tracked-user pricing means your bill grows as more of your users engage — which is the opposite of what you want feedback to cost. The more successful your board, the more you pay for the privilege. For a growing product, that’s a tax on the exact behavior you’re trying to encourage.
The free tier runs out immediately. 25 tracked users is enough to test the product, not to run it. Most teams outgrow it before they’ve finished onboarding their first real cohort.
It’s more than a small team needs. Canny is a genuinely capable, mature product — but a lot of that capability (the multi-level Ideas hierarchy, enterprise governance, the long tail of integrations) is weight a pre-PMF SaaS doesn’t need yet, wrapped in a price a pre-PMF SaaS can’t justify.
What Canny actually costs as you grow
The headline “free plan” hides the real dynamic, so it’s worth walking through. A tracked user is anyone Canny associates with feedback — someone who posts, votes, comments, or is discovered by its AI. In a B2B SaaS, roughly 1–5% of your total users end up tracked, so the math sneaks up on you:
- Launch week. You share your board, 30 people vote. You’ve already crossed the 25-tracked-user free cap and need a paid plan.
- A few hundred active users. You’re comfortably into Canny’s Pro tier (~$79/month billed yearly, 100+ tracked users). Fine, if you have revenue.
- Your board takes off. Every new voter is another tracked user. Cross into the thousands and you’re looking at Canny’s Business tier — custom-priced, four figures a year — for the same boards, votes, and roadmap you started with.
The uncomfortable part is what you’re paying more for: engagement. The more successful your feedback board — the more people vote and comment, exactly the behavior you’re trying to encourage — the more it costs. That’s a tax pointed at the wrong target.
FeatureWish removes the variable entirely. Unlimited tracked users and unlimited team members on the free plan; if you want the white-label and MCP extras, it’s a flat $20/month that never moves whether ten people use your board or ten thousand. You price the tool once, not your growth forever.
What you get with FeatureWish
- The whole loop, free. Feedback boards, voting, threaded comments, a public roadmap driven by post status, and a standalone changelog — the core loop is free forever, not a trial.
- Unlimited tracked users and unlimited team members. Price the tool, not your reach. Bring your whole team in to triage feedback; never ration seats.
- An embeddable widget that actually embeds cleanly. Drop in a
<script>for a floating popup, or an<iframe>for an inline board, roadmap, or changelog. The surfaces are theme-aware (light/dark/auto, your accent color, your radius) and deliberately neutral so they never clash with your site. - Voter identity that survives modern browsers. Embedded widgets are third-party by definition, so Safari and Firefox partition or evict their storage — which silently breaks voter identity on most tools. FeatureWish runs a first-party token bridge from the host page so a visitor stays the same voter across visits.
- Vote integrity built in. Every vote is stamped with a salted IP hash as a soft abuse signal, and any board can switch on a high-integrity mode that requires voters to verify their email — so your roadmap reflects real demand, not a brigading campaign.
- Fewer duplicates, automatically. As someone types a new request, FeatureWish surfaces similar existing posts so they upvote instead of reposting — keeping your board clean from the start. It’s keyword-based and free; Canny’s automatic de-duplication lives in its paid Autopilot AI.
- A public portal that’s good for SEO. Your
/b/portal is server-rendered with proper titles, descriptions, and canonical tags, and it carries a “Powered by FeatureWish” backlink — so your feedback board is crawlable and works for you in search.
What about AI agents and MCP?
If you build with Claude, Codex, Cursor, or another AI agent, your feedback tool should be readable by it — an agent that can see your feature requests, votes, and comment threads can help you decide what to build, not just how. In 2026 that connection happens over MCP (Model Context Protocol), and to their credit, both tools here support it.
Canny ships a first-party MCP server that works with ChatGPT and Claude — currently available to teams in its Ideas beta on the Pro plan and above, so agent access sits behind the same reach-priced tiers as everything else. There are also third-party bridges (Zapier, Composio, community servers) built on Canny’s API if you’re on a lower plan.
FeatureWish’s MCP server is built in and part of the flat $20/month Pro plan: seven scoped tools — list boards and posts, read a request with its full comment thread, pull the roadmap and changelog, file a post, update a status (which emails the voters) — behind one revocable token. Setup is one URL and no SDK; there’s no tracked-user or per-seat math stacked on top of agent access. See the MCP server page for copy-paste setup, and FeatureWish for AI agents for the workflows it unlocks: agent-run triage, “what should I build next?” with real vote data, specs drafted from comment threads, and closing the loop from your editor.
The honest summary: if you’re already paying for Canny’s Pro tier, its MCP server is real and first-party. If you want an agent-readable board without buying into reach-based pricing first, that’s exactly the FeatureWish trade.
Where Canny is the better choice
We’d rather you pick the right tool than churn in a month. Choose Canny if:
- You need deep, broad integrations today — Canny’s 50+ integrations (Jira, Salesforce, Intercom, Zendesk, and more) are more extensive than ours, and if your workflow depends on one of the long-tail ones, that matters.
- You’re an enterprise with governance requirements — SSO/SAML, audit logs, and procurement-friendly contracts are Canny’s territory, not our focus.
- You want a five-level Ideas hierarchy — Canny layers a richer taxonomy on top of boards. FeatureWish stays deliberately flat and simple. If you genuinely need that depth, Canny gives it to you.
If none of those describe you yet — and for most small and mid-size SaaS teams, they don’t — you’re paying enterprise prices for capacity you won’t use for years.
Switching is low-risk
The core concepts map one-to-one: boards, posts, votes, comments, statuses, roadmap, changelog. You can stand up a FeatureWish board, embed it, and point your users at it in an afternoon — and because the free plan is the real product (not a countdown), there’s no clock forcing a decision before you’re ready.
Bottom line
Canny is a strong, mature product — and priced like one. If you’re a small SaaS team that needs the full feedback loop without paying more as your users engage, FeatureWish gives you boards, voting, a roadmap, a changelog, and an embeddable widget for free, with unlimited tracked users.
Spin up a board and see for yourself — no card, no 25-user ceiling.
Related comparisons
Weighing Canny against the rest of the field? These help:
- The best Canny alternatives — the full roundup, free, paid, and open-source, with where each one wins.
- FeatureWish vs Nolt — the other minimalist board, and why “no free plan” is the catch.
- FeatureWish vs UserJot — the closest free-and-flat rival; the decision comes down to the details.
- Feedback-tool pricing models, explained — per-tracked-user vs per-seat vs flat, and how to predict what you’ll actually pay.