An AI-driven experience management platform for enterprises to collect multi-channel feedback, analyze structured and unstructured data, and deliver actionable insights.
Octolens

About Octolens
Octolens is a web-based AI brand monitoring and social listening tool designed for B2B SaaS, AI, and developer-focused teams. It enables users to track brand, competitor, and keyword mentions across more than 13 online platforms, including Reddit, X (Twitter), LinkedIn, GitHub, Hacker News, YouTube, DEV, Stack Overflow, Podcasts, Newsletters, News, TikTok, and Bluesky. The tool applies AI relevance scoring and tagging to filter out noise, label mentions (such as buy-intent or testimonials), and assess sentiment, helping teams focus on actionable insights. Real-time alerts are delivered via Slack, email, or webhooks, and an API allows for programmatic access. Octolens also provides analytics and AI-generated summaries to review conversation trends and extract insights for faster responses, capturing product feedback, and identifying growth opportunities. Its focus on developer and B2B SaaS conversations across niche communities like GitHub and Hacker News sets it apart from broader social listening tools.
Key features
- Multi-platform monitoring across 13+ sources
- AI relevance scoring and tagging for mentions
- Sentiment analysis of tracked conversations
- Real-time alerts via Slack, email, or webhooks
- API for programmatic access
- Analytics and AI-generated summaries
- Buy-intent and testimonial labeling
- Developer and B2B SaaS-focused tracking
Use cases
- Analyzing customer feedback and product sentiment
- Researching competitors and industry trends
- Monitoring brand visibility across developer communities
Pros
- Tracks brand, competitor, and keyword mentions across 13+ niche platforms including GitHub, Hacker News, and Stack Overflow
- Applies AI relevance scoring and tagging to filter noise and categorize mentions (e.g., buy-intent, testimonials)
- Delivers real-time alerts via Slack, email, or webhooks for immediate action
- Provides AI-generated summaries and analytics to review conversation trends and extract insights
- Offers an API for programmatic access and integration with existing workflows
Cons
- Limited to online platform mentions, excluding offline or proprietary data sources
- May require manual configuration for optimal keyword relevance and tagging accuracy
- Focus on developer and B2B SaaS communities may not cover broader consumer or non-tech industries
Frequently asked questions about Octolens
What platforms does Octolens monitor for brand mentions?
Octolens tracks mentions across over 13 platforms, including Reddit, X (Twitter), LinkedIn, GitHub, Hacker News, YouTube, DEV, Stack Overflow, Podcasts, Newsletters, News, TikTok, and Bluesky.
How does Octolens filter out irrelevant mentions?
The tool uses AI relevance scoring and tagging to filter noise, categorize mentions (e.g., buy-intent or testimonials), and assess sentiment, ensuring users focus on actionable insights.
Can Octolens send alerts for new mentions?
Yes, Octolens provides real-time alerts via Slack, email, or webhooks to notify users of new mentions as they occur.
Does Octolens offer an API for programmatic access?
Yes, Octolens includes an API that allows users to programmatically access and integrate its data into their workflows.
What kind of analytics does Octolens provide?
Octolens offers analytics and AI-generated summaries to review conversation trends, extract insights, and identify growth opportunities for faster responses.
Who is Octolens designed for?
Octolens is designed for B2B SaaS, AI, and developer-focused teams, particularly those interested in tracking conversations in niche communities like GitHub and Hacker News.