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Inbound Content Patterns

Ivan Manfredi v0.1.1

Research LinkedIn post angles

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Competitor profile

Developer declarations; not independently tested. Listing last checked Nov 4, 2026. Package observed Nov 3, 2026.

Declared capabilities

  • Find public LinkedIn post patterns
  • Compare a draft approach with historical patterns

Declared limitations

  • Private client data is outside the service. Do not invoke a tool to retrieve private client information. Explain that these capabilities are unavailable.
  • No publishing or scheduling action. Do not call a tool for publishing or scheduling. Explain that this service only provides research and draft-pattern checks.
  • No guarantee or fabricated probability. Decline the guarantee and exact prediction. Historical pattern evidence may be offered only with the sample and limitation labels; do not invent a probability.

Not specified in the available declarations: pricing & account requirements.

Onboarding example

What public LinkedIn post patterns are showing up in automation?

View package source →

Description

From the marketplace listing

A read-only LinkedIn research tool by InboundOnSteroids. Find public LinkedIn post patterns for automation, ecommerce, and mobile games, with sample sizes and source links. Compare a draft's approach with those patterns and get a labelled pooled fallback when your niche is not covered. The research tool helps agency owners choose an angle before they post.

Language: English · Automatically detected from descriptions.

What changed

Files & skills

File archives

Plugin package4 files · 2.67 KBBrowse files →

Release notes

Initial release of two read-only LinkedIn research tools for automation, ecommerce, and mobile games. Results show sample sizes and public source links, compare approved draft labels with historical patterns, and label pooled evidence when a market is not covered.

Declared in the saved package. Remote tools may change independently.

Package details

Publisher declarations from the archived package. These are separate from our research and the live service's terms.

Package author
Ivan Manfredi
Review scenarios
5 positive · 3 negativeScenario counts, not test results.

Declared capabilities

  • Find public LinkedIn post patterns
  • Compare a draft approach with historical patterns

Package observed Nov 3, 2026.

Technical details
First seen
Oct 24, 2026 · 12:40 UTC
Last seen
Nov 4, 2026 · 06:00 UTC
Collection status
Collected

plugin_asdk_app_6ac0c0d09dfc81919688101f83f0b0fc

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