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Post Reaction
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#4821 Radar 39

A desktop app that tests social media posts with AI bots before publishing.

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Product memo

Content creators and marketers use Post Reaction to predict social media post performance before publishing. It runs on desktop for Mac and Windows, using AI bots with distinct personalities to simulate audience reactions and provide engagement metrics. The tool emphasizes privacy and offline functionality, offering a one-time purchase model that contrasts with typical subscription services.

For who

Content creators and marketers

Solves what

Predicting social media post performance before publishing

  • AI-powered audience reactions
  • Side-by-side content comparison
  • Desktop app for Mac & Windows

In their own words

Test Your Posts Before Publishing

See which version of your content will perform better with AI-powered audience reactions.

Test social media posts before publishing with AI bots. See which content version performs better through realistic audience reactions and engagement metrics.

Commercial cues

Pricing snapshot one time with free tier

Model

one time

Free tier

Yes

Trial

Available

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • A free tier provides unlimited posts to drive initial adoption.
  • One-time purchases remove subscription friction for privacy-focused users.

Operator context

Operating setup

Founded

Apr 2025

HQ

Türkiye

Platform

Desktop

Audience

Creators

Payments

Polar

Detected via TrustMRR

Social footprint

Tech stack

Radix UI

Builder Strategy

Strategy Type
Niche Specialist
Stage
Pre Revenue
Effort
Solo Buildable
About Post Reaction Expand

Post Reaction offers content creators and marketers a way to test social media posts before they go live. This desktop application, available for Mac and Windows, uses AI bots to simulate audience reactions and provide engagement metrics.

Its one-time purchase model and offline functionality appeal to users prioritizing privacy and transparent pricing over subscription-based cloud services. The tool helps users compare different content versions side-by-side, supporting multiple LLMs for varied audience simulations.