← Matviy Korsunskiy
Flock Bio ↗

High-throughput pooled DNA libraries  ·  LinkedIn outbound

Finding leads by what they post, not their job title

01

Why searching by job title does not work

02

How it works

Fig 1 Finding the posts, then the people who engaged with them
Finding the posts, then the people who engaged with them
Runs on a schedule into Apify, then the LLM throws out the posts that are not real discussion. Everyone who liked or commented on what is left gets pulled out, duplicates removed, and sent to Clay to be enriched and scored.

Approved leads move from the Google Sheet into HeyReach every 3 days.

An LLM cleans up the names first, stripping titles and credentials, because “Hi Dr. Sarah Chen PhD” instantly reads as automation.

Fig 2 Two different openers, depending on who they are
Two different openers, depending on who they are
The person who wrote the post gets a different first message from the people who engaged with it. Both send in small batches with a pause in between.
Fig 3 What happens when something breaks
What happens when something breaks
3 nodes, and the order of the middle 2 is the whole point. It switches the broken workflow off before sending the alert email. The other way round, a broken run keeps messaging people while the email sits unread.

03

Results

42.6%message reply rate
78.5%connection acceptance
20replies from 47 messages
3 daysbetween sending runs

One month of an ongoing campaign: 65 connection requests, 51 accepted, 47 messages, 20 replies. Those replies became booked meetings, which is the number that matters to them.

Stack

Apify n8n Clay HeyReach

More work

If any of this is the shape of your problem, I’d like to hear about it.

Eastern time, New Jersey, US
Client names and internal details omitted where I am under confidentiality.