Observe
Connect search, behavior, and revenue.
AI growth operator for software products
Find the growth bottleneck. Test what matters next
Connect search, traffic, product behavior, and revenue to choose the next experiment worth running. Growther learns from every result.
One decision at a time
Most growth ideas aren't worth running.
Growther checks the current bottleneck, ICP, past experiments, and the outcome that matters before choosing a test. Weak ideas stay rejected with the reason attached.
Diagnose
Find the constraint that matters now.
Reject
Remove ideas the evidence cannot justify.
Test
Prepare one focused change for approval.
Measure
Wait for evidence strong enough to call.
Learn
Update the Product Growth Model.
37experiments considered
31rejected with reasons
5kept for later
1recommended now
Experiment #014
WIN
63 visitors8 signups6 ICP matched5 activated2 paid
Belief updated
Comparison-intent visitors from ICP-02 activate better61% ─────▶ 69%The result changes the next decision
Growther learns from the experiment, then changes what it recommends.
Every result becomes evidence in the Product Growth Model, including a result that is too early or too weak to call. The next recommendation starts from that evidence instead of starting over.
How the model grows
Seed, tree, forest.
The model starts as a handful of connected signals. Each experiment adds a branch — and enough branches make a picture of how your product actually grows.
Phase 01 · 4 connected signals
A knowledge base built from your own results
Growther remembers how your product grows.
It learns who becomes a good customer, how people find you, what helps them activate, which actions work, which fail, and what deserves your time next.
Who buys
ICP beliefs with confidence
Why they buy
Jobs, pains, and positioning
How they find you
Discovery and intent signals
What activates them
Behavior tied to retained value
What worked or failed
Experiment lineage and outcomes
What to test next
One decision informed by the last
Connect one product. Start with the evidence you already have.
Search Console and product analytics are enough to begin. Add more signals when they become useful.