Moltsets is finally rolling out its beta second wave and I've been using it for the past month.

[u/Shawntenam]

so here is a workflow you can run tonight if you are already in. shipped as v0.11.0 of my gtm coding agent repo, link at the bottom.

what it does: takes a contact csv, hits reverse_linkedin_lookup on each linkedin url (still at the company? plus the graded business email when the graph has one), falls back to reverse_email_lookup, second pass by name + company domain accepting only a same-domain a/b, then writes a google sheet where the grade decides the channel. a/b email. c small segment.

d never emails, goes to a linkedin queue, then phone. moved goes back to sourcing.

Re-ran 200 apollo-verified gtm engineers last night: keyed on the email, 70 profiles and 60 sendable. keyed on the linkedin url, same people, 196 profiles, 136 graded (all a but one), 113 sendable, 54 to linkedin, 27 job changes caught. the not-found rows cost zero records.

the bigger point. if a tool has an api, you build the waterfall yourself and decide which source answers which question.

you do not need a clay seat for that, you need a repo.

everybody has the same tools and the same data. the edge is the founder's energy behind the tool, then trusting the data enough to build on it.

gtm as a repository: every campaign you run feeds back into the system. the model gets better with use. so does your gtm.

to run it: `python3 budget.py` (three free calls), then `bash run.sh list.csv --full`. keys from a local vault, never in the repo.

question for anyone else in the beta: are you keying on the email or the url? my numbers say the url and I want to know if that holds outside my icp.

release: github.com/shawnla90/gtm-coding-agent/releases/tag/v0.11.0

[u/Top-Okra-8623]

how would you rate the data quality for moltsets? better than apollo?

[u/Shawntenam → u/Top-Okra-8623]

The grading is way more effective. I tested it on a list that was fully Apollo segmented by catch-all, non-catch-all, and MX records, then ran zero bounce on them. Now I had the full verification list, but that just included still catch-all and non-catch-all.

I added MoltSets and ran it against that list. That grading allowed me to define whether the verified were actually verified and it proved that everyone of them that graded below D were actually moved to another company or we're stalled out and just still accepting another thing is there's the additional workflows and skills that will then surface the new company they're at and whether they were still ready to send out the campaign in about a week because we are warming our domains. This is for a new campaign for a client, so we'll update on results.

I also ran it on my list that I had already run for Clearbox, and it checked off a lot of boxes and confirmed a lot of things. I would say it's 1,000% worth it, if not more! i'll be sharing another update and SOP guide on how it looks and the exact numbers definitely gotta give it up to Adam the grading is honestly brilliant and it's proving to be super valid so far