Automated LinkedIn Content System: 8+ Hours Saved Weekly and 20 Calls Booked Per Week
Key Results
The Client
Bless Network is a decentralised edge computing platform: people earn crypto by sharing idle compute, developers run AI and Web3 apps on it for a fraction of cloud cost. ~$8M raised, hundreds of thousands of testnet nodes.
In a crowded Web3 market, the team needed consistent, credible presence on LinkedIn. They didn't have the hours.
The Problem
Hours a week hunting for content worth posting. Ideal customers found by scrolling. Tools that don't talk to each other. No view of what's ready, what's posted, or what worked.
The Solution
One system runs the whole loop, every week:
- Scrapes target profiles and keywords for content worth repurposing
- Scores it against the ideal customer profile and keeps the best
- Generates on-brand posts in multiple formats
- Engages identified ICPs automatically
- Sends a weekly intelligence report
- Learns from every post the team approves
The Result
8+ hours a week of manual research gone. 20 booked calls a week once the engagement loop was running. 300K impressions in the first two weeks.
The learning loop compounds: every approved post feeds the scoring model, so the system gets better without anyone tuning it.
The team stopped doing discovery and first outreach. They spend their time on conversations the system already started.