Reactor FAQs

Question 1

What kind of insights does Reactor provide for my posts?

Accepted Answer

Reactor offers estimated impressions, a debate score, cringe detection, hook analysis (curiosity, emotion, controversy scores), and optimal posting windows. It also identifies content types with different viral multipliers to guide your strategy.

Question 2

How does Reactor predict post performance without using LLMs?

Accepted Answer

Reactor uses a proprietary scoring engine based on calibrated heuristics, not large language models. It analyzes factors like hook quality, debate score, cringe detection, and audience-aware timing, derived from real LinkedIn post data, to provide instant and deterministic predictions.

Question 3

Can I integrate Reactor with my existing AI assistant or workflow?

Accepted Answer

Yes, Reactor is designed for flexible integration. It offers a command-line interface (CLI) for direct use and seamlessly integrates as a tool with AI assistants like MCP (Claude Desktop, Cursor) and OpenClaw agents, allowing you to predict and optimize posts within your AI workflow.

Question 4

Is Reactor free to use, and what are its privacy practices?

Accepted Answer

Reactor offers free tiers with daily prediction limits, which can be extended by registering for a free API key. For privacy, Reactor stores only your email and usage count; no post content is stored or logged, ensuring your text is processed and immediately forgotten. You can delete your account anytime.

Question 5

What is Reactor and how does it help with LinkedIn posts?

Accepted Answer

Reactor is a software tool that predicts the performance of your LinkedIn posts *before* you publish them. It provides a comprehensive verdict (GO/WAIT/IMPROVE/NO), estimated impressions, and actionable insights to help you optimize for maximum engagement and avoid 'flop' posts.

Reactor

Reactor

Key Features

Use Cases

Key Features

Use Cases