[davecyen]

This is cool, a few ideas:

1) Would like to understand why certain journalists were recommended to me. I like the idea of showing example articles, but the ones provided weren't relevant to me.

2) As a startup, I'm mostly interested in a journalist's influence and reach (ie. how many people are going to see this?). Topic relevance is also important, but at the end of the day I'd rather be written up by TC rather than by a local news org. Does the ML take influence/reach as an input?

3) It'd be useful to select my ideal outlets, e.g. national outlets, industry-specific, geo-specific, and then get results based on those preferences.

[rickyyean]

Ricky here from team Upbeat. Great feedback. Yeah, the trickiest part was relevance as perceived by users. What our team thought was relevant didn't pass the sniff test in testing. For because a journalist has demonstrated broad interest in AI, but if we only show the article about AI replacing jobs, then she might appear irrelevant to an AI fraud detection company. Sometimes it depends on your familiarity with the publications. Like you said, TechCrunch vs. a more niche B2B publication read by CIOs, we do consider that as part of the input. More customization in search seems like a logical next step.