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Frill
Bootstrapped feedback, roadmap, and changelog tool for product teams that want a lightweight board and release updates without a heavy enterprise feedback suite.
Small product teams that want a simple feedback board, roadmap, and changelog without buying an enterprise feedback suite.
Teams that need AI clustering of sales and support conversations first, or buyers comparing full research repositories.
Verdict
Frill is a fair fit when the bottleneck is a clean public board and changelog. Practitioners like the lightness; buyers who need AI across sales transcripts may still prefer Canny.
Score Breakdown
How Frill scores in the categories that matter to its buyers.
Pricing
Frill publishes Free through Pro-class plans on frill.co/pricing. Figures below are USD list signals commonly reported for 2026; confirm seats on live checkout.
| Plan / SKU | Meter | Price (USD) | What stands out |
|---|---|---|---|
| Free | per month | $0 | Starter board |
| Starter | per month | Entry published | Core roadmap |
| Growth | per month | Mid published | Changelog; branding |
| Pro | per month | Higher published | Team features |
The Field at a Glance
How Frill compares with other AI changelog & feedback boards vendors we reviewed, by Overall Score and relative typical engagement cost.
Frill scores 6.7 in AI changelog & feedback boards, under Canny (7.6), Featurebase (7.2), and Nolt (6.8). Relative cost is lower on published starter plans.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Feedback boards | Strong | Core Frill motion. |
| Changelog widgets | Strong | Common buyer story. |
| Roadmap publishing | Strong | Small-team path. |
| AI sales/support clustering | Mixed | Canny sharper. |
| Enterprise feedback suites | Mixed | Wrong depth. |
| Feature flags | Poor | Wrong subcategory. |
Who it’s for
Good fit
- Small product teams needing a public board
- Buyers comparing lightweight changelogs
- Orgs that want a simple roadmap page
Poor fit
- Teams needing AI across sales transcripts first
- Buyers centered on research repositories
- Orgs shopping for incident tools
Review Excerpts
Below are excerpts from public reviews. Paid reviews and pay-for-play sites such as Clutch were excluded.
“We had a public roadmap up the same day without a long implementation.”
“Changelog and feedback lived together without paying enterprise feedback prices.”
“AI clustering across sales conversations is thinner than category leaders.”
“We collect votes, keep a roadmap, and post changelog notes when features ship.”
Methodology
This page is an independent evaluation of Frill for buyers comparing options in ai changelog & feedback boards. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Frill did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for ai changelog & feedback boards)
- Lightweight feedback board
- Changelog & roadmap basics
- Setup speed for small teams
- AI clustering across conversations
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Frill is graded here as ai changelog & feedback boards. Criteria scores can move as more review volume and product checks are added.