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ScaleKernel

Go from LLM wrapper to hypergrowth AI company

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Phase 2 — Growth Execution

Product signal into a repeatable channel

Aligned positioning, funnel, and outbound so acquisition matched product strength and retention stopped leaking.

Before
  • Scattered channels with no single growth loop
  • CAC and funnel metrics unknown or inconsistent
  • No phase gates — scope creeps every sprint
Before
  • Scattered channels with no single growth loop
  • CAC and funnel metrics unknown or inconsistent
  • No phase gates — scope creeps every sprint
vs
After ScaleKernel
  • Unified growth loop across product and GTM
  • Instrumented funnel with clear leading indicators
  • Phase-based roadmap with scoped delivery
Growth ExecutionSeries B AI devtools

Strong product metrics but flat MRR — positioning sounded like every other AI tool and paid channels were underwater.

Explore Growth Execution

Approach

  • —Rebuilt ICP narrative and homepage story around one defensible wedge
  • —Designed a product-led loop with upgrade triggers in core workflows
  • —Launched founder-led outbound with messaging tied to eval outcomes
  • —Instrumented cohort retention and channel payback weekly

Outcomes

+38%

MRR growth (90d)

↑ 55%

SQL → opp rate

108%

Net revenue retention

“We stopped renting growth and built a loop that actually matched how developers adopted the product.”

— Head of Growth, Series B AI devtools

More stories

Other case studies

See how we partner across engineering, innovation, and growth.

AI Engineering

From demo RAG to production-grade retrieval

Rebuilt retrieval, evals, and observability so the team could ship AI features with confidence instead of firefighting hallucinations.

Read case study
Innovation-as-a-Service

Scoped MVP to first paying cohort

Delivered a focused MVP with built-in validation loops — turning noisy founder intuition into signal from real users.

Read case study

Want outcomes like these?

Tell us your stage and what Phase 1 should unlock in the next 90 days.

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