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Something new at Reddit

Test ranking of communities in shadow until precision hits 75%

You’re the ai / ml engineer. Your team is in the room. Printed Oct 13, 2026.

Topic research begins with broad results while managers need a smaller set of communities to inspect.

A short ranked list protects research time while visible evidence protects against false confidence in where to participate.

Who you’d be doing this for

“I opened seventeen communities last week just to find three threads worth saving for the desk.”

Dalia Simiyu · Social Media Manager

She researches communities for a publisher planning organic participation around a new editorial topic.

What is at stake

Managers open an average of 17 communities before saving a useful conversation for broad-topic research. You have to weigh a helpful ranked shortcut against evidence, latency, and the risk of overstating community fit.

Why it isn’t already fixed

Every obvious fix costs something else. That’s the part you’d have to decide.

  • research speed vs evidence transparency
  • topical relevance vs popularity bias
  • new model value vs shared retrieval reuse
  • pilot learning vs serving latency

Why Reddit

Reddit Pro supports businesses and publishers researching organic participation across distinct community conversations.

Written with these in mind

Applied ML engineerDiscovery and ranking engineerProduct-minded ML practitioner

Not your kind of problem? 27 more at Reddit, or browse every organization.

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.