Pivot-Table Your Scraped List to Find the High-Value Beta Users

Pivot-Table Your Scraped List to Find the High-Value Beta Users is a cold outreach tactic for getting your first users: After scraping thousands of profiles, the founder built pivot tables in the CSV to rank users by their Product Hunt follower count and how many similar products they'd upvoted, then personally reached out to the standouts.

It's a strong fit for Dev tools / technical teams, and works especially well for Founders with a scraped lead list and limited outreach time. As a cold outreach play, plan for medium effort and expect results to arrive at a steady pace, all grounded in 1 linked primary source.

Cold outreachMedium effortMedium

Why does cold outreach work for this?

Sorting by influence and category interest surfaces the few high-leverage prospects worth a personal, hand-written pitch.

The exact steps (5)

The full step-by-step this founder ran, what they posted, where, and in what order, plus the watch-outs, is part of the library.

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Sources

Frequently asked

What kind of products does the "Pivot-Table Your Scraped List to Find the High-Value Beta Users" tactic work for?
It is a good fit for Dev tools / technical — pick it when your product looks like that, since the play is shaped around how those users find new tools.
How is the "Pivot-Table Your Scraped List to Find the High-Value Beta Users" tactic verified?
It is drawn from 1 primary source — a real founder write-up or interview, not generic advice. It is linked in the Sources section above so you can read the original account yourself.
How much effort is it and how fast are results?
It is medium effort, and results tend to be medium.
Where can I see the exact step-by-step?
The full step-by-step a founder ran, documented via Source — IndieHackers, is in the paid library.

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