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The Crypto Media Growth Hack

The Crypto Media Growth Hack

The Crypto Media Growth Hack

By

Musa Ayodo

Stable was sitting on hours of untapped conversations, until one bold workflow turned interviews into a flood of social posts. In just 30 days, a crypto media brand proved that scale doesn’t require editors, only smarter systems

The Crypto Media Company That Turned Their Interview Podcast Series Into Hundreds of Posts, Without an Editor

The Problem: Great Content, Limited Scale


Stable is the leading cryptocurrency media company and intelligence platform, delivering insights and analysis that move markets. Their content features conversations with top thought leaders, breaking down complex crypto trends into actionable intelligence. But they had a scaling problem. For months, Stable had been creating long-form content and manually repurposing it for YouTube, LinkedIn, and Instagram. The results were decent, they were getting some traction, posting occasionally, building an audience. But they knew they were leaving value on the table.


The reality: Every long-form video they produced contained dozens of clip-worthy moments, insights that could perform on social media, reach new audiences, and drive more eyes back to their main content. But extracting those moments required time, resources, and someone dedicated to the grunt work of editing.


Stable faced the classic media company dilemma: Stable faced the classic media company dilemma: Hire a full-time social media editor ($50K-70K annually), divert existing team members from their core work and keep posting sporadically and accept limited reach, or find a way to scale content creation without scaling headcount. None of these options worked. They needed to scale up the amount of content they could create from one piece of long-form content, without adding operational complexity or burning out their team.


The Solution: Automated Workflows That Turn One Video Into Hundreds of Clips


Stable implemented Overlap to build custom Workflows designed specifically for repurposing their long-form content featuring crypto thought leaders and market analysis. Here's what makes Workflows different: Instead of manually watching hours of footage to identify clip-worthy moments, editing each clip individually, and exporting files in multiple formats for different platforms, Overlap's AI handles the entire process automatically. The system analyzes long-form content, identifies high-value segments based on conversational flow and topic shifts, generates clips optimized for each platform's specifications, and distributes them on schedule.


Stable built Workflows tailored to their content structure:


Workflow 1: Vertical Short-Form Content — This workflow automatically identifies key insights and soundbites from long-form videos, reformats them to vertical 9:16 for Instagram Reels, TikTok, and YouTube Shorts, generates captions highlighting crypto topics and thought leader names, and posts automatically across vertical video platforms.


Workflow 2: Horizontal Short-Form Content — Designed for professional audiences, this workflow clips analysis segments from interviews, formats them horizontal 16:9 for LinkedIn and YouTube, creates platform-appropriate captions for business contexts, and schedules posts to maximize engagement during business hours.


From the moment they implemented Overlap, Stable transformed their content operation: one long-form video with a thought leader could automatically become hundreds of pieces of social media content, distributed across multiple platforms without requiring anyone on their team to touch an editing timeline.


The Results: 30 Days of Automated Content Distribution


In just 30 days (November 17 - December 15), Stable transformed their content operation, generating 141,328 impressions and 2,505 engagements across YouTube, LinkedIn, Instagram, TikTok, X, and Facebook, while growing to 2,827 total followers. The automated Workflows handled content creation, formatting, and distribution across all six platforms without requiring anyone on their team to touch an editing timeline or manage posting schedules.


Before Overlap:


  • Created long-form content with thought leaders

  • Manually watched hours of footage to find clip-worthy moments

  • Edited a few clips per video when time permitted

  • Posted sporadically when team had bandwidth

  • Achieved limited reach on 1-2 platforms


After Overlap:


  • Created the same long-form content with thought leaders

  • Overlap automatically identified hundreds of clip-worthy moments

  • Every video became dozens of social media posts

  • Consistent daily posting across six platforms

  • 141,328 impressions in 30 days without additional effort


The transformation gave Stable something critical: strategic leverage. Instead of choosing between creating great content and distributing it effectively, they now do both, extracting maximum value from every piece of content they invest in producing, turning one interview with a thought leader into an entire month's worth of social media distribution.


Stable’s results highlight a bigger truth for media companies: the bottleneck is no longer producing great long form content, it’s distributing enough short form clips to stay visible on today’s social platforms. Manual repurposing doesn’t scale, whether that means hiring editors or pulling internal teams away from core work, and inconsistent posting limits reach. With Overlap automating the full repurposing workflow, Stable drove 141,328 impressions and 2,505 engagements in 30 days with zero manual editing or posting, proving you don’t need a bigger team to scale distribution, you need a smarter system that turns one video into hundreds of posts.

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Author:

Musa Ayodo

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