Nebula Components
Operational question: how do you diagnose observable landing-page conversion friction with evidence-backed findings, without promising lift?
Nebula Components is a landing-page conversion diagnostic service for founders and operators running paid traffic. It inspects observable page conditions and returns evidence-backed findings, prioritization, and bounded remediation guidance.
It is not a UI component library, page builder, or guarantee of business results. The public product includes a free landing-page audit across 9 observable signals (no account required to start), a one-time One-Leak Repair Sprint offer, and separate Pro, Growth, and Agency subscription plans for ongoing monitoring and team or agency use.
Nebula reports observable page conditions. Its score is a rule-derived prioritization aid, not predicted conversion performance, revenue impact, conversion probability, or expected lift. Recommendations are bounded changes, not measured outcomes.
Citable (Apache-2.0) is the related open-source evidence layer used for SEO, AEO, and GEO audit work under the Nebula Components npm scope. Nebula's hosted product surface and Citable's FOSS repository are related but not the same claim.
Implemented
- Free landing-page audit across 9 observable signals with evidence-backed findings
- One-Leak Repair Sprint: one-time implementation kit offer with same-scope re-audit window
- Pro, Growth, and Agency subscription plans for ongoing monitoring and team or agency use
- Public alternatives hub, teardowns, and learning content with capture-date evidence boundaries
- Uses Citable as the related FOSS evidence layer (@nebulacomponents/citable)
Evidence you can inspect
Public product and teardown pages showing observable findings. Representative examples only—not client volume, conversion lift, or guaranteed business results.
Live audit surface
Public site where a free landing-page audit can be started.
Figma teardown
Ranked findings with capture-date evidence on figma.com.
Claim boundary in product copy
Public positioning that scores prioritize fixes, not predicted lift.
What an audit returns
Ranked findings for observable page conditions, each with evidence and bounded remediation guidance. Priority aids fix order; it is not predicted conversion loss.
Scope boundaries
- Commercial product; not a claim of enterprise ops employment outcomes
- Does not promise conversion lift, revenue impact, or guaranteed business results
- Public evidence is a snapshot of observable conditions, not private analytics or continuous monitoring
- Client volume, retention, and revenue figures are not claimed here