InboundOnSteroids / LinkedIn pattern research
Read thepattern.Then write.
Historical LinkedIn post evidence, with the sample beside the claim.
Two free research tools for automation, ecommerce and mobile games. Public examples you can open. Limits you can see.
Available in ChatGPT. Open Inbound Content Patterns ↗
See the research flowThe two tools
What the research
actually does.
Choose a market. Read the historical cell and its sample. Open the public posts. If you have a draft, compare its category labels with the same evidence.
From a niche
to a source.
Automation, ecommerce and mobile games are covered. Other markets receive a clearly labelled pooled read, with a nearest covered-market hint.
From a label
to context.
ChatGPT selects topic, angle and proof labels. The tool checks supported historical marginal patterns. It does not need the full draft body.
How to read it
The sample
belongs beside
the answer.
A pattern is useful only when you can inspect what sits behind it.
Check the count.
Each supported comparison shows the number of posts behind the rate. A cell needs at least 25 posts and a nonzero baseline before it is shown.
Open the source.
Public example links let you inspect the posts. A requested 7, 28 or 90-day window selects those examples; the rates still come from the latest completed historical market study.
Keep the boundary.
An uncovered market gets a labelled pooled fallback and a nearest covered-market hint. The hint does not turn pooled numbers into niche-specific measurements.
The boundary
History gives
context.
The results describe public posts we can observe. They do not forecast reach or leads, write or publish a post, or schedule content. Samples and availability can change as source data changes.
Keep private drafts, client records and sensitive information out of tool inputs. Check draft uses category labels selected in ChatGPT. We do not request or store a full draft or your conversation in the application usage record.
Questions & support
Something look
wrong?
Send the tool name, approximate time and what looked wrong to im@ivanmanfredi.com. We can investigate a broken link or inaccurate result.
InboundOnSteroids also runs managed content and outreach for agency owners. The research tools are separate; the service is optional.
Explore the managed service