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.
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.
Sign in
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.
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