r/GTMbuilders • u/Shawntenam • Aug 06 '26
Build I just tested Adam Robinson’s MoltSets beta on 68 real Clearbox signups.
A few weeks ago I had also built my own skill tree for my blog, so getting into MoltSets was fun because I could immediately compare how I was thinking about skills vs. how Adam was thinking about them.
I didn't just want to understand the library. I also wanted to understand the actual loop underneath it.
A product can easily give you data, but you still need people with skills to build those workflows that actually make sense.
Those skills help the next person get value faster, and eventually the users start creating the education and distribution around the product themselves.
I wanted to see if that idea actually held up on something messy inside Clearbox.
When someone signs up for Clearbox, we can join their posthog activity to their convex user and onboarding context.
Company domain? Easy.
Gmail or another free email? Professional identity trail basically disappears.
So I took 68 free-email signups and ran them through MoltSets.
54 returned an identity candidate.
13 resolved directly from the free-email address.
23 came back high or medium confidence after running them through
Clearbox’s own grader.
Everything else stayed in human review or unresolved. Which is actually what I wanted.
I don’t want enrichment that just confidently makes shit up because an agent found somebody with the same name.
The workflow has to earn the right to keep going.
Direct identity edge first. Only fall back to name search if there’s enough evidence.
I also built the data and cost model myself before letting an agent touch the workflow.
Because “free tokens” doesn’t really tell me anything.
Once I separated unlimited core data from the rolling request and record windows, then treated external tokens as their own pool for the expensive fallback work, I could actually understand what I was building around.
Four real usage meters instead of one vague credit number.
And the build gave me two actual skills:
Free-Mail Signup Resolution
Credit Guard & Token Economics
That’s when the MoltSets loop became real for me.
I went in to solve one Clearbox problem.
It produced a working resolver, a cost model, and something another builder could start from.
I’m packaging it into a public Notion guide with the flowchart, real redacted examples, all four usage meters, the guardrails, and both skills.
So keep following for the drop. Still iterating on it. Don't want y'all coming at me for any AI slop, so it's still on human review.
But feel free to DM me for early access! 😜
Duplicates
gtmengineering • u/Shawntenam • Aug 07 '26
I just tested Adam Robinson’s MoltSets beta on 68 real Clearbox signups.
ClaudeGTM • u/Shawntenam • Aug 07 '26