analytics

LinkedIn Network Intelligence

Upload your own LinkedIn connections and get the same interactive analysis shell.

A fixed interactive network-intelligence dashboard for LinkedIn connection exports and pasted LinkedIn connection text.

Frozen structure, updated insights. Same shell every time, only the network data changes.

Starts in workspaceUpload CSV / Paste textBring your own filesHosted artifact output

linkedinnetworkanalysis

Artifact feel

What this template should feel like once it renders.

The point is not to explain the shell abstractly. It is to let someone see the interaction pattern and decide whether the artifact feels worth keeping.

How this template works

This template is better once IterFact can save the run.

Sign-in happens first so the run, uploads, credits, and saved copy stay attached to your workspace from the beginning.

Create an account first so the run can attach uploads, credits, and saved library state.

Generate

Run the template with your own data and keep the output tied to your account from the start.

Publish

Publish from the library once the artifact is ready for a real URL and sharing.

Connections

Bring your own files

This template runs from your files, not from a connected app account.

Input contract

What this template expects

The point is to show the actual input shape before you start, not make you guess what the template wants.

Input model

This template is driven by uploaded or pasted source data.

It currently relies on higher-level input modes such as CSV or paste-based normalization rather than a long structured field schema.

After this template

Most teams continue with a companion format

analytics

X Analytics

X Analytics Content CSV exports, reply-versus-original analysis, and shareable social-performance artifacts that stay interactive after publish.

Upload CSV / Fill schemaOpen template

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