Your players are vocal - on Reddit, App Store reviews, Play Store reviews, YouTube, and Hacker News. Noisely captures all of it and uses AI to separate genuine game-breaking bugs from casual complaints so your team focuses on what moves the needle.
Starting at $49/month
The Challenge
Gaming communities generate massive volumes of feedback across Reddit, app stores, YouTube, and Hacker News. The challenge is not finding feedback - it is separating actionable issues from noise.
You ship a balance patch and Reddit explodes with 500 posts. Some are genuine bug reports, some are balance complaints, some are just memes. Your community team cannot read them all fast enough to find the real issues.
A controversial decision triggers a wave of negative app store reviews and Reddit backlash. Mixed in with the anger are actual bug reports and constructive suggestions. Finding them manually is like panning for gold.
Players post detailed bug reproduction steps on Reddit, describe UX issues in app reviews, and share balance analysis on YouTube. Your developers are in Jira. The two worlds never connect.
How It Works
Noisely monitors every platform where your players talk and uses AI to categorize, prioritize, and route feedback to the right team.
Add your game name, subreddit, and app store listings. Noisely starts monitoring reviews, posts, and mentions across Reddit, App Store, Play Store, YouTube, and more.
Every mention is tagged as a bug report, balance complaint, feature request, praise, or general discussion. Severity and frequency are scored so critical issues rise to the top.
Push bug reports to Jira, feature requests to your backlog, and sentiment alerts to Slack. Your dev team gets player feedback without wading through Reddit threads.
Features
Track App Store and Play Store review sentiment in real-time. Detect review-bombing events and separate legitimate negative feedback from coordinated campaigns.
Monitor your game subreddit and related communities. AI identifies trending complaints, popular feature requests, and community sentiment shifts.
Automatically track how player sentiment changes after each update across Reddit, app stores, and YouTube. See which changes players love and which cause backlash, broken down by topic.
AI identifies bug reports hidden in reviews and Reddit posts, including device info, reproduction steps, and severity indicators from natural language.
Track player complaints about game balance, meta shifts, and difficulty. See which characters, weapons, or mechanics generate the most discussion.
Monitor App Store and Play Store reviews for mobile games. Track rating trends and catch crashes or pay-to-win complaints that hurt your store listing.
Use Cases
Stay on top of player sentiment across Reddit, app stores, YouTube, and Google News. Know what the community cares about before it becomes a crisis.
Prioritize patches and content updates based on real player feedback data. Understand which issues affect the largest portion of your player base.
Catch post-launch bugs faster by monitoring player reports across platforms. Identify device-specific and platform-specific issues from review data.
Understand how players experience your game mechanics. Track balance feedback, difficulty complaints, and feature requests to inform design decisions.
Integrations
Noisely aggregates feedback from review platforms, community forums, app stores, and support tools into one unified dashboard.
Unified Feed
All sources in one view
New mention on r/SaaS
2m ago
New 4-star review
15m ago
Feature request ticket
1h ago
FAQ
Noisely monitors App Store, Play Store, Reddit, YouTube, Hacker News, Google News, Trustpilot, and more. For mobile games, App Store and Play Store reviews are tracked in real-time with sentiment analysis and review-bombing detection.
Absolutely. Noisely is built to handle high-volume feedback periods. AI categorization means even thousands of reviews and Reddit posts are automatically sorted by type and severity.
Noisely tracks review volume and sentiment patterns over time. When negative review volume spikes far above the baseline, it flags the event and separates coordinated negative reviews from organic feedback.
Yes. You can filter feedback by time period to isolate post-patch reactions. AI also detects when reviews reference specific update content, making it easy to measure patch reception.
Yes. Noisely monitors App Store, Play Store, Reddit, YouTube, and more. For mobile games, app store review monitoring is particularly powerful. For PC/console games, Reddit, YouTube, Hacker News, and Google News capture community feedback.
Join product teams who use Noisely to understand customers and build better products.
Get StartedStarting at $49/month