Accounts scanned: 710 DMs sent: 126 (17.7%) Can’t DM: 584 (82.3%) From those DMs:

Positive replies: 4 (3.2%) Rejected: 1 (0.8%) No response: 121 (96%)

Here’s the process:

. I started by figuring out who my product(which is Snapdemo.io) is for. Then I found some KOLs in that niche and used an API to grab all their followers. That gave me 37k potential leads.

. Next, I used AI to scan bios and guess whether someone might be my Ideal Customer. For each account, I asked AI to tell me:

- Are they ICP? (Yes, No, Not sure) - Why? - What’s their label? (e.g. AI builder, SaaS exec)

. I ran all this through OpenAI’s batch API to save on cost and dev time. Once I had a few thousand ICPs, I skipped the “Not sure” ones since the confirmed ones were enough.

. I made a simple dashboard to track everything, and used a few templates to auto-generate DMs. I also logged which template went to which user, so I could measure performance later.

Without a solid automation tool, and with most users not open to DMs, the whole process took a lot of time.If you’ve done something similar, I’d love to hear your suggestions. And if you’re also a founder, feel free to DM me (X: @timchengb) to exchange ideas.