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What is Octolens?

Octolens is a social listening tool specifically built for developers and developer-focused brands. Created to address the challenges of monitoring brand mentions across a wide range of platforms, Octolens aggregates data from over a dozen sources including Reddit, X (Twitter), LinkedIn, GitHub, podcasts, newsletters, and more. It uses AI filtering to surface only the most relevant mentions, helping users avoid noise and focus on conversations that truly impact their business. The tool offers API access on all plans, enabling developers to integrate social data directly into their workflows. Octolens is ideal for teams that need real-time insights into brand reputation, competitive intelligence, and user feedback, especially in technical and SaaS communities. Its flexible pricing and scalable mention and keyword limits make it suitable for startups, growing companies, and enterprises alike.

AI Tool Review Summary

Performance Score

4.7/5

Content/Output Quality

Highly relevant and AI-filtered

Interface

Developer-friendly and functional

AI Technology
LLMNLP
Purpose of Tool

To provide developers and brands with precise, AI-filtered social listening data across multiple platforms.

Compatibility

Works via API, webhooks, and MCP server, integrating smoothly into developer workflows and AI tools.

Pricing

Flexible subscription plans with pay-as-you-grow mention and keyword add-ons.

Features

Features with the highest value for users are highlighted here.

AI-filtered mention alerts

API access on all plans

Multi-platform monitoring

Real-time sentiment tracking

Customizable keyword tuning

Integration with AI tools

Webhook support

Flexible pricing model

How It Works

1

Choose and Tune Keywords

Select keywords relevant to your brand and competitors, and let Octolens use your company context to score mentions for relevance, sentiment, and intent.

2

Set Up Your Feeds

Configure your social listening feeds across supported platforms including Reddit, X, LinkedIn, GitHub, podcasts, and more.

3

Integrate with Your Stack

Connect Octolens via API, webhooks, or MCP server to send filtered mentions directly into your workflows and tools.

4

Monitor and Respond

Receive AI-filtered alerts and insights to engage in important conversations and track brand reputation in real time.

Who Is It For?

Developer Relations

Marketing Teams

Founders

Product Managers

Growth Marketers

AI Developers

Community Managers

Enterprise Teams

SaaS Companies

Technical Support Teams

Pricing

Popular

Pro

$119/monthly
  • 15,000 mentions
  • 10 keywords
  • Coverage of all socials and community platforms
  • Hourly data refresh
  • API, Webhooks & MCP server access
  • Slack & Email alerts
  • AI filtering of mentions

Scale

$319/monthly
  • 50,000 mentions
  • 15 keywords
  • Includes podcasts, news & newsletters
  • Real-time data refresh
  • API, Webhooks & MCP server access
  • Slack & Email alerts
  • AI filtering of mentions

Enterprise

Custom/custom
  • Multiple workspaces
  • Unlimited mentions
  • Unlimited keywords
  • Custom AI agents

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Pros & Cons

Pros

  • Highly relevant AI filtering reduces noise and improves signal quality.
  • Comprehensive coverage of developer-centric platforms and media.

Cons

  • Pricing may be high for very small teams or casual users.
  • Some advanced features require higher-tier plans or custom setups.

FAQs

Just Launched

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Rating

5.0

Pros

Cons

Quick Octolens Comparision

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Analytics of Insights | Blog | Octolens

Website traffic and keyword analysis.

Live dataFeb 2026 – Apr 2026

Monthly visits

16.81K

+4.2% vs prior month

Avg. visit duration

00:00:08

M 4 2026 snapshot

Pages / visit

1.71

M 4 2026 snapshot

Bounce rate

41.81%

Lower is better

All traffic · Worldwide

Weekly estimate · Feb 1, 2026 – Apr 29, 2026

3.23K3.3K3.37K3.44K3.52KFeb 1Feb 15Mar 1Mar 15Mar 29Apr 8Apr 22Apr 29

Peak week: 3.52K (Feb 1, 2026)Low week: 3.23K (Mar 1, 2026)WoW: 0.0%Derived from monthly estimates · SimilarWeb-equivalent

Release History

0 releases published

No releases yet.

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