Schedule posts to multiple social media platforms from one workspace
Turn recorded conversations into multi-platform campaigns that build authority
Stage
Not given
Not given
Founded
Not given
Not given
Based in
LK
US
Pricing model
Freemium
Freemium
Pricing
Free plan: up to 3 channels, no credit card required. Essentials: $5 per channel per month (most popular). Team: $10 per channel per month. X channels cost an extra $10 per month each on paid plans. Pay yearly and get 2 months free. Cancel anytime.
Launch (free), Grow ($49/mo), Scale ($99/mo), Supercharge ($249/mo). All paid plans include 14-day free trial. Yearly billing available with up to 17% savings.
Key features
Schedule with exact time or queue system
Shared media library for images and videos
TikTok sharing controls for comments, duets and stitches
Team workspace with unlimited team members on paid plans
Support for 9 platforms including X, LinkedIn and Instagram
Multi-platform publishing to 11 platforms including LinkedIn, Instagram, TikTok, YouTube, X and others
AI-generated social posts, clips, newsletters and show notes from episodes
Content automation with approval queue for drafts between episodes
Guest portal for sharing clips, quotes and posts tailored to guest audiences
Trend alerts to surface topics worth responding to
Advanced analytics showing performance by episode, campaign, platform or individual post
Team collaboration with roles and permissions
RSS feed integration to import existing podcast episodes
Integration with recording tools like Riverside, Descript and StreamYard
Clip Autopilot to draft posts from existing clips between episodes
What makes it different
No setup required, free forever plan for up to 3 channels with no credit card
Unified workspace timezone ensures all team members see the same schedule
Videos upload reliably in parts, up to 10 GB on paid plans
Handles everything after recording - turns conversations into coordinated multi-platform campaigns instead of one-off posts
Requires human approval for every post - nothing publishes automatically
Built by a podcaster who experienced the problem the product solves