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Octolens
Octolens is an AI-powered social listening and brand monitoring platform designed specifically for developer relations, marketing teams, and modern B2B SaaS companies. It tracks keywords and brand mentions across 13+ online channels including Reddit, X, LinkedIn, GitHub, Hacker News, podcasts, and newsletters. Using AI relevance scoring, Octolens filters out spam, categorizes buy intent, and flags sentiment before routing actionable alerts into Slack, CRM systems, or developer webhooks. Teams use Octolens to discover high-intent conversations and respond faster.
What it does
• Monitors 13+ platforms including Reddit, X, GitHub, LinkedIn, Hacker News, podcasts, and newsletters for keyword mentions. • Uses AI relevance models to rank incoming posts by importance, sentiment, and buying intent tags. • Routes real-time notifications and alerts directly into Slack channels, email inboxes, CRMs, or custom webhooks. • Exposes a native Model Context Protocol (MCP) server and REST API for autonomous AI agent pipelines.
Why it works
AI-driven context evaluation eliminates irrelevant spam noise, serving only actionable brand and competitor mentions. Comprehensive coverage across niche developer channels like GitHub, Hacker News, and DEV.to targets technical audience conversations. Native Model Context Protocol (MCP) and API support lets AI agents query live social listening data programmatically. Direct Slack and webhook integrations allow instant customer support and sales team engagement without portal jumping.
Category: AI & Automation
Team Size: 2-10
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As of 2026
AI & Automation
Revenue: $100k-$1M ARR
AI social listening platform monitoring brand mentions across developer and social networks.
Overview
Octolens is an AI-powered social listening and brand monitoring platform designed specifically for developer relations, marketing teams, and modern B2B SaaS companies. It tracks keywords and brand mentions across 13+ online channels including Reddit, X, LinkedIn, GitHub, Hacker News, podcasts, and newsletters. Using AI relevance scoring, Octolens filters out spam, categorizes buy intent, and flags sentiment before routing actionable alerts into Slack, CRM systems, or developer webhooks. Teams use Octolens to discover high-intent conversations and respond faster.
Funding status: Bootstrapped
Revenue source: Subscriptions
Customer type: B2B
Pricing: Subscription
Tech stack: TypeScript, React, Node.js, Model Context Protocol (MCP), Python, AI Classifiers, Webhooks
Platform: Web
Integrations: Slack, Linear, Attio, Discord, Model Context Protocol (MCP), Zapier, Make, n8n, Custom Webhooks, REST API
Founder story
Octolens was co-founded in 2024 in Berlin, Germany, by Charlotte Sophie Schmitt and Igor Kotua. Frustrated by traditional social listening tools that produced vast amounts of irrelevant noise and missed critical developer channels like GitHub and Hacker News, they built Octolens. The platform applies AI classification to brand monitoring, giving modern software companies a streamlined signal layer for developer and social conversations.
What it does
- • Monitors 13+ platforms including Reddit, X, GitHub, LinkedIn, Hacker News, podcasts, and newsletters for keyword mentions
- • Uses AI relevance models to rank incoming posts by importance, sentiment, and buying intent tags
- • Routes real-time notifications and alerts directly into Slack channels, email inboxes, CRMs, or custom webhooks
- • Exposes a native Model Context Protocol (MCP) server and REST API for autonomous AI agent pipelines.
Who it's for
- B2B SaaS Founders & Executive Leaders
- Developer Relations (DevRel) & Community Teams
- Growth & Brand Marketing Managers
- AI Agent Builders & Infrastructure Engineers
Why it works
- AI-driven context evaluation eliminates irrelevant spam noise, serving only actionable brand and competitor mentions
- Comprehensive coverage across niche developer channels like GitHub, Hacker News, and DEV.to targets technical audience conversations
- Native Model Context Protocol (MCP) and API support lets AI agents query live social listening data programmatically
- Direct Slack and webhook integrations allow instant customer support and sales team engagement without portal jumping.
Growth strategies
- Product Hunt launches targeting SaaS founders, DevRel leads, and growth marketers
- Free 7- day trial self-serve funnel converting developer tools into monthly workspace subscribers
- Word- of-mouth endorsement and social proof from prominent developer-first brands like Vercel, Supabase, and PostHog
- Content marketing around Generative Engine Optimization, social listening APIs, and Reddit B2B growth playbooks
Alternatives
Comparison overview
- Octolens focuses specifically on B2B SaaS and developer networks like GitHub, Hacker News, and DEV.to, offering native MCP server access for AI agents.
- Traditional social listening tools like Brand24 or Mention cater primarily to consumer brands and broad social platforms without specialized developer channel monitoring or LLM agent protocols.