Multi-platform feedback aggregation
Collect comments and related engagement signals from supported public channels and profiles, then bring them into a single dashboard for review.
FeedPulse monitors comments and engagement signals from YouTube, TikTok, Instagram, Reddit, and X, then turns them into sentiment, topic, and issue-tracking insights. It helps creators, founders, and product teams review public audience feedback without reading every comment by hand.
FeedPulse is a feedback monitoring tool that collects audience comments and engagement signals from YouTube, TikTok, Instagram, Reddit, and X, then turns them into categorized insights. It is built for people who want to see what their audience is saying without reading every comment manually.
The product follows public channels, profiles, subreddits, or accounts and analyzes the material with NLP to surface sentiment, recurring themes, and grouped topics in one dashboard. It also connects to Linear and GitHub so selected comments can become tracked issues with the original context attached.
Collect comments and related engagement signals from supported public channels and profiles, then bring them into a single dashboard for review.
Classify each comment by sentiment and topic so recurring bugs, requests, praise, and complaints can be reviewed without manual sorting.
Group similar reports together to reduce duplicates and show when the same issue is being raised repeatedly.
Create a Linear or GitHub issue from any comment with the source context attached, so feedback can move into an operational backlog.
Track how sentiment changes over time and review categorized feedback inside FeedPulse through its insights dashboard.
Scan connected feeds automatically and refresh them to pick up new comments without manual checking.
Monitor comments across a creator's public channels to see what viewers praise, request, or complain about without manually reading every thread.
Track a competitor or niche creator's public audience discussions to understand recurring questions, objections, or feature requests.
Capture bug reports, feature requests, and complaints from social comments and convert the most relevant ones into Linear or GitHub issues.
Review sentiment trends and recurring themes over time to see which uploads or posts generate the strongest reactions.
Use the dashboard to keep a small team aware of feedback coming from multiple social platforms when manual monitoring is too time-consuming.
FeedPulse follows public channels, profiles, subreddits, or accounts on YouTube, TikTok, Instagram, Reddit, and X, then classifies comments and engagement signals into sentiment and topic groups. It also lets you create Linear or GitHub issues from individual comments.
It supports YouTube, TikTok, Instagram, Reddit, and X (Twitter). The FAQ says you can follow any public channel, profile, subreddit, or account on those platforms from one dashboard.
Yes. FeedPulse can analyze public channels or profiles you do not own, which makes it useful for audience research and competitive monitoring.
FeedPulse connects to Linear and GitHub. From any comment you can create a tracked issue in one click, with the comment text and a link back to the source attached.
FeedPulse offers a 14-day Pro trial for new workspaces. Pricing is listed for Starter, Pro, and Enterprise, with Enterprise handled through sales.
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