Octolens
Social listening built for developers.
Overview
Octolens is a social listening platform built specifically for developer-facing brands, SaaS companies, DevRel teams, and technical marketers who need to track what people say about them in places generic listening tools ignore, like Hacker News, GitHub, Stack Overflow, and DEV.to, alongside the usual Reddit, X, and LinkedIn. Instead of dumping every keyword match into an inbox, it uses AI relevance scoring to separate mentions that actually matter from noise, plus sentiment analysis so teams can prioritize replies.
Founded in 2023, Octolens has grown to 1,000+ customers including recognizable dev-tool brands like Vercel, PostHog, and Lovable. It plugs into existing workflows via Slack, email, webhooks, a REST API, and an MCP server, so mentions flow into whatever tool a team already uses rather than forcing a new dashboard.
Key Features
Relevance Scoring: AI-powered relevance scoring on every mention across 13+ platforms.
Sentiment Analysis: Flags sentiment on every tracked mention.
Smart Filtering: Cuts noise for common-word brand names.
Broad Platform Coverage: Monitors Reddit, X/Twitter, LinkedIn, YouTube, GitHub, Hacker News, Stack Overflow, DEV.to, Bluesky, TikTok, podcasts, newsletters, and news.
Refresh Speed: Hourly refresh on Pro, real-time refresh on Scale.
Workflow Integrations: Slack, email, webhook, REST API, and MCP server integrations, including dedicated Twitter and Reddit MCPs.
Pricing
Starting price
$119/mo
Pro: $149/month ($119/month billed annually). 15,000 mentions, 10 keywords, hourly refresh, analytics reports, Slack/email alerts, AI filtering, API/webhooks/MCP access.
Scale: $399/month. 50,000 mentions, 15 keywords, real-time refresh, weekly AI summaries, plus everything in Pro.
Enterprise: Custom pricing. Unlimited mentions and keywords, multiple workspaces, custom AI agents.
Disclaimer: pricing may change, confirm on Octolens' own pricing page before buying.
Pros
Developer Platform Coverage: Covers developer-specific platforms like Hacker News, GitHub, Stack Overflow, and DEV.to that most social listening tools skip entirely.
Real Noise Reduction: AI relevance filtering genuinely cuts noise for brands with common-word names, per user reviews.
Fast Self-Serve Setup: Fast, self-serve setup with no onboarding calls, unlike $10K+/yr enterprise listening platforms.
Full Data Access: All mention data accessible via API, MCP server, webhooks, and CSV export.
Recognizable Customers: A real, recognizable customer base (Vercel, PostHog, Lovable); 4.6/5 rating on AppSumo.
Cons
Tight Keyword Limits: Keyword limits are tight on the entry tier (10 keywords on Pro); extra keywords cost $5-10/mo each.
Detection Quirks: Users report technical quirks, e.g. keyword-detection misses when the keyword appears inside a link.
No General News Tracking: No broad general news-tracking, a Google Alerts-style feature, per user feedback.
Overage Costs: Overage fees for extra mentions ($0.01-0.013 each) can add up fast for high-volume brands.
What Makes It Unique
Developer-Native Focus: Its real edge isn't AI social listening generically, that's a crowded field (Brand24, Mention, Brandwatch). It's developer-specific platform coverage paired with dev-native integrations (MCP server, webhook/API-first design) aimed squarely at SaaS and DevRel teams, not consumer brands.
Kay Score
7.5
/ 10
Tool Information
Pricing
$119/mo
Category
Chatbots & SEO
Platform
Web / iOS / Android
Last Updated
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