Feeedbackr allows you to collect and analyze user feedback by embedding a simple button in your app. Focus on building the features that matter most to your users.
Customer Supportfeeedbackr.comTracked since 2026-08-211 discovery source
572Backlinks
74Referring domains
22Domain authority
-15.1%Referring domains · 90 days
Authority & distribution
How strong is Feeedbackr’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
572Current snapshot
Referring domains
74Current snapshot
Authority
22Domain authority · category median 22
90-day move
-15.1%Referring domains, last 90 days
At 22, Feeedbackr sits above the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Feeedbackr”
Feeedbackr allows you to collect and analyze user feedback by embedding a simple button in your app. Focus on building the features that matter most to your users.
Customer SupportSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://feeedbackr.com
Observed across 1 discovery source.
Research questions
What the evidence answers about Feeedbackr.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does Feeedbackr do and what problem does it solve?
Feeedbackr is a feedback collection and analysis tool that allows developers to gather user feedback by embedding a simple link in their app. It solves the problem of complex feedback systems by providing a single-button integration for collecting bugs, feature requests, and praise without enterprise bloat.
What are the main features and integrations offered by Feeedbackr?
Feeedbackr offers a one-click feedback collection link, AI-powered sentiment analysis with detailed tagging, spam detection, and automated AI reports that synthesize feedback into actionable themes. It integrates via a simple link, REST API, and webhooks for connections to services like Discord, Slack, or Linear.
How is Feeedbackr priced or packaged?
Feeedbackr offers a free tier with 50 credits upon signup and explicitly states that no credit card is required to start. The homepage does not provide details on paid pricing plans or packages beyond this free credit offer.
Who is Feeedbackr for?
Feeedbackr is specifically designed for indie developers and development teams who need to collect and analyze user feedback to prioritize features and improve their products. The product's homepage explicitly targets indie developers seeking simple, no-complexity feedback solutions.
What is Feeedbackr?
Feeedbackr is a simple feedback collection tool for indie developers that uses AI to analyze user feedback for product improvement and support response.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full Feeedbackr intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured