PostGrad

Upload knowledge to your feed

Add entries to a feed via paste, structured CSV upload, or a connected source that syncs automatically.

Three paths get knowledge into a feed: paste raw text, upload a structured CSV, or connect a source that syncs continuously. Each path ends at the same place — reviewed, extracted, published entries — but has a different tradeoff between speed and automation.

Before you start: you've created a feed (Create your first feed).

Open Upload from the licensor sidebar

The Upload landing page showing three cards: paste raw text, upload structured CSV, and connect a source.
The Upload landing page showing three cards: paste raw text, upload structured CSV, and connect a source.

Path A: paste raw text for extraction

The paste upload screen showing a large textarea with sample text and an Extract button.
The paste upload screen showing a large textarea with sample text and an Extract button.

This path is the fastest to try but the slowest to scale. Use it to see what extraction does; switch to CSV or Connect for ongoing volume.

Path B: upload a structured CSV

The CSV upload screen showing a drag-drop zone, a file-format spec, and a sample CSV row.
The CSV upload screen showing a drag-drop zone, a file-format spec, and a sample CSV row.

Map your CSV columns

The column-mapping UI showing CSV column names on the left matched to PostGrad feed fields on the right.
The column-mapping UI showing CSV column names on the left matched to PostGrad feed fields on the right.

Path C: connect a live source

The Connect screen showing supported source types: RSS, webhook, n8n workflow, Zapier.
The Connect screen showing supported source types: RSS, webhook, n8n workflow, Zapier.

Confirm entries land in the review queue

The review queue showing newly uploaded entries with their extracted fields, confidence scores, and action buttons.
The review queue showing newly uploaded entries with their extracted fields, confidence scores, and action buttons.

What's next

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