# Feeedbackr vs Jam

Feeedbackr records 548 monthly visits with +114.9% month-over-month growth and Freemium pricing. Jam records 570,598 monthly visits with -6% growth and Freemium, Paid pricing.

| Metric | [Feeedbackr](https://openaitools.app/tool/feeedbackr) | [Jam](https://openaitools.app/tool/jamgpt) |
| :--- | :--- | :--- |
| Website URL | https://feeedbackr.com | https://jam.dev |
| Categories | AI For Data Analytics, AI Research Tool, AI Text Classifier, AI Customer Service | AI Developer Tools, AI Testing, AI Report Generator, AI Productivity Tools |
| Pricing Model | Freemium | Freemium, Paid |
| Monthly Visits | 548 | 570,598 |
| MoM Growth Rate | +114.9% | -6% |
| Primary Market | France | United States |
| Direct Visits | 177 | 443,324 |
| Review Score | 4.1 | 4.6 |
| Saved Count | 1 | 2 |
| Supported Platforms | Website | Website |

## Feeedbackr

Feeedbackr takes the opposite approach to most customer feedback suites: no SDK, no workflow configuration, no seat-based subscription. You sign up, copy a plain <a> tag pointing at your Feeedbackr portal into your app, and start receiving feedback. Each submission automatically carries the page URL and user ID so you know exactly where the friction happened. A REST API is available if you need programmatic control over submission.

Once feedback arrives, AI does the sorting work. Every entry gets a sentiment score ranging from very negative to very positive and is tagged with a category such as bug, feature request, UI/UX or performance. Spam is filtered out, so founders can read the signal rather than the noise. Webhooks push each new item to any service that accepts an HTTP callback — your own backend, Discord, Slack or Linear.

The reporting layer is where the product earns its keep. On demand, Feeedbackr synthesizes hundreds of individual messages into a report that ranks feature requests by how many users asked for them, flags churn-risk signals with likely root causes, and lists concrete recommendations. Pricing is credit-based and pay-as-you-go, so cost scales with how much feedback your product actually generates rather than a recurring subscription.

**Pricing & Plans:** No permanent free tier, but every new account gets 50 free credits to try the full product. Paid usage is a €19 one-time Feedback Pack that never expires and includes 1,500 credits (1 credit per feedback, 5 per AI report), with unlimited apps and domains. Billing is handled by Stripe.

- **One-link integration:** Add a single anchor tag pointing at your hosted feedback portal — no SDK, no npm package — or use the REST API for full control.
- **AI sentiment and categorization:** Every submission receives a sentiment score plus category tags such as bug, feature request, UI/UX or performance, with spam detection built in.
- **Webhooks:** Stream new feedback into your own backend, Discord, Slack, Linear or any endpoint that accepts an HTTP callback.
- **AI-powered reports:** Generate synthesized reports that rank feature requests by user count, detect churn risk with root causes, and suggest prioritized next steps.
- **Credit-based pricing:** One account covers unlimited apps and domains, and credits are shared across projects with no per-seat charges.

**Strengths:** Setup takes minutes with a plain link and no SDK or dependency to maintain; AI tagging, sentiment scoring and spam filtering remove manual triage work; One-time credit packs avoid recurring subscriptions and per-seat fees; Webhooks fit into existing tools without needing native integrations

**Limitations:** No permanent free plan — only 50 starter credits before you must buy a pack; Data export is not yet available, which limits portability of your feedback history; Direct integrations with tools like Slack or Notion are not on the current roadmap

[Profile (Markdown)](https://openaitools.app/tool/feeedbackr.md)

## Jam

Traditional bug reports are slow: someone hits a problem, tries to describe it in words, screenshots the wrong moment, and a developer spends half an hour reproducing what the reporter already saw. Jam collapses that loop. A browser extension, an iOS app, or a Mac app records the moment, and the recording travels with available console logs, network requests, user events, and device details attached.

Jam AI then does the writing. It proposes a title, a summary, and reproduction steps, giving whoever picks up the ticket a clear starting point instead of a vague description. From there the Jam can be routed into Linear, Jira, or Slack for triage, or handed to AI tooling so a coding agent can dig into the issue and ship a fix. The same mechanism works for internal feedback and for customer-facing reports via a recording link.

The product's positioning is deliberately broad: it is not just a bug tracker but a capture layer for anything visual and transient — QA findings, UX issues, ideas, and support escalations. Teams use it to catch problems before customers file tickets, cut down on back-and-forth explanations, and spot recurring patterns across releases.

**Pricing & Plans:** Freemium with a free tier, paid per-seat plans, and enterprise/custom pricing on request; exact figures are listed on the Jam pricing page.

- **One-click capture:** Record your screen or grab a screenshot from the browser extension, the iOS app, or the Mac app.
- **Automatic technical context:** Available console logs, network requests, user events, and device details ride along with every recording.
- **Jam AI summaries:** Automatic title, summary, and reproduction steps give developers and agents a clear place to begin.
- **Tool integrations:** Push Jams into Linear, Jira, or Slack for triage, or into AI coding tools for investigation.
- **Recording links:** Send customers a link so they can capture the issue as it happens, with context attached.

**Strengths:** Captures logs and network activity automatically, which saves lengthy correspondence; AI summaries and repro steps remove the blank-page problem when filing a report; Available across browser, iOS, and Mac; Integrates with common issue trackers and AI coding tools

**Limitations:** Most useful capabilities sit behind paid plans; Full value depends on your team adopting it consistently; Capturing sensitive screens may require internal policy review

[Profile (Markdown)](https://openaitools.app/tool/jamgpt.md)

## Frequently Asked Questions

### How do Feeedbackr and Jam compare in monthly traffic?

Feeedbackr has 548 monthly visits, while Jam has 570,598. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Feeedbackr has a month-over-month growth rate of +114.9%; Jam has -6%.

### How does pricing compare?

Feeedbackr: Freemium. No permanent free tier, but every new account gets 50 free credits to try the full product. Paid usage is a €19 one-time Feedback Pack that never expires and includes 1,500 credits (1 credit per feedback, 5 per AI report), with unlimited apps and domains. Billing is handled by Stripe. Jam: Freemium, Paid. Freemium with a free tier, paid per-seat plans, and enterprise/custom pricing on request; exact figures are listed on the Jam pricing page.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | Plans and executes automated tests using natural language, replacing manual bug reproduction steps with AI agents. | [.md](https://openaitools.app/tool/kaneai.md) |
| 2 | [Canny Autopilot](https://openaitools.app/tool/canny-autopilot) | 419,132 | -10.5% | Freemium, Paid, Contact for Pricing | AI feedback capture that ties customer requests to revenue | [.md](https://openaitools.app/tool/canny-autopilot.md) |
| 3 | [Qase](https://openaitools.app/tool/qase) | 319,213 | -25.5% | Freemium, Free Trial, Contact for Pricing, Free | Unifies test results and manual tracking, though lacking Jam's automatic visual screen recording and log capture. | [.md](https://openaitools.app/tool/qase.md) |
| 4 | [Voxpopme](https://openaitools.app/tool/voxpopme-com) | 301,522 | +38.5% | Contact for Pricing | Turn customer voices into confident decisions | [.md](https://openaitools.app/tool/voxpopme-com.md) |
| 5 | [Productboard](https://openaitools.app/tool/productboard) | 297,500 | -9.3% | Freemium, Free Trial, Paid, Contact for Pricing | Agentic product management system for customer-driven roadmaps | [.md](https://openaitools.app/tool/productboard.md) |
| 6 | [Dovetail](https://openaitools.app/tool/dovetail) | 238,937 | -5.1% | Contact for Pricing | AI-native customer intelligence platform that turns every customer conversation into context | [.md](https://openaitools.app/tool/dovetail.md) |
| 7 | [TestSprite](https://openaitools.app/tool/testsprite) | 114,205 | +15.8% | Freemium | Automatically writes and executes regression test suites, offering deeper test automation than front-end bug capture. | [.md](https://openaitools.app/tool/testsprite.md) |
| 8 | [OSS Insight](https://openaitools.app/tool/oss-insight) | 97,152 | -13% | Free | Free real-time analytics for open source projects on GitHub | [.md](https://openaitools.app/tool/oss-insight.md) |
| 9 | [BigIdeasDB](https://openaitools.app/tool/bigideasdb) | 74,724 | -22.3% | Freemium | Mine a million real user complaints for validated startup ideas | [.md](https://openaitools.app/tool/bigideasdb.md) |
| 10 | [Momentic](https://openaitools.app/tool/momentic) | 68,819 | -15.2% | Freemium, Usage-based, Enterprise | Runs end-to-end AI tests to find application bugs, replacing manual bug recording with autonomous verification. | [.md](https://openaitools.app/tool/momentic.md) |

---
Source: https://openaitools.app/compare/feeedbackr-vs-jamgpt

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)