How it works
MentionFox continuously listens to conversations on Reddit, X, LinkedIn, Quora, HackerNews, forums, news sites, podcasts, review platforms, TikTok, YouTube, Substack, Medium, and 39+ other sources. Each mention is enriched with context—speaker profile, engagement metrics, sentiment, and relevance score—so you see not just volume but quality signals. The AI-Visibility module also measures how your product or company is mentioned relative to competitor solutions, giving you strategic insight into market positioning.
Use MentionFox's search and filter controls to narrow down signals by keyword, platform, time range, speaker authority, and engagement level. You can save search queries as saved views to monitor recurring topics—product feedback, feature requests, competitive comparisons, hiring announcements, or investor activity. Only high-confidence signals worth tracking make it to the next step.
When you find a signal worth acting on, MentionFox creates a Linear issue on your command. The issue includes the original mention text, platform source, speaker profile link, timestamp, and any enriched metadata (location, industry, company signals). You maintain full control—MentionFox never auto-sends. Every issue requires your preview and explicit click-to-send, ensuring your Linear backlog stays clean and intentional.
What you can do
Sales: Convert Inbound Signals to Qualified Leads
A prospect mentions your product on Reddit, asking how it compares to competitors. MentionFox flags the mention with high relevance. You create a Linear issue tagged 'Outreach' with the prospect's profile link and context. Your sales team picks up the issue, researches the prospect using MentionFox's lead enrichment data, and sends a personalized outreach. The prospect becomes a qualified lead tracked end-to-end in Linear.
Product: Capture Feature Requests & Bug Reports from the Wild
Users across forums, Twitter, and Substack are discussing a missing feature or workaround. MentionFox surfaces these conversations as signals. You create Linear issues tagged 'Feature Request' or 'Bug Investigation' with links to the original discussions and speaker profiles. Your product team can now prioritize based on real demand signals, not guesses, and close the loop by updating the issue when the feature ships.
Investor Relations & Recruiting: Track Mentions & Build Relationships
MentionFox's Investor Research module searches its 52,000-company investor database and monitors when relevant investors discuss your industry or competitors. Similarly, the Candidate Vetting module flags when potential hires mention your company or talk about roles in your space. Create Linear issues to assign follow-up tasks—'Schedule call with investor X', 'Reach out to candidate Y'—keeping all outreach organized and trackable.
How to connect
- Step 1: Generate Your Linear API Token. Log into Linear. Navigate to Settings > API > Create API Key. Copy the token and store it securely. This token allows MentionFox to create issues in your Linear workspace on your behalf.
- Step 2: Connect MentionFox to Linear. In MentionFox, go to Integrations > Linear. Paste your Linear API token. Select the Linear team or workspace where issues should be created. Test the connection. Once confirmed, the integration is live.
- Step 3: Find & Preview a Signal. Search or browse MentionFox signals. When you find a mention worth tracking, click 'Create Linear Issue'. A preview panel shows the issue title, description (including the mention text, platform, link, and speaker info), and default fields like Team and Label. Customize as needed—add assignee, priority, due date, or custom fields.
- Step 4: Send to Linear. Review the issue preview. Click 'Create in Linear'. The issue appears instantly in your Linear workspace. You can then link it to related issues, add to cycles, or move it through your workflow. The original MentionFox signal remains tagged as 'sent to Linear' so you don't lose context or duplicate work.
Without MentionFox
Without MentionFox, discovering qualified leads, investor signals, or product feedback scattered across 52+ platforms requires manual monitoring—checking Reddit threads, Twitter feeds, forum posts, and review sites individually, copying context into spreadsheets or emails, then manually creating Linear issues if you remember to do so. Most signals get missed or forgotten, and tracking which leads came from where becomes impossible.
