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Dating for people who find murder investigations relaxing

Your podcast queue is a personality test. The cases that keep you up at night, the documentaries you have rewatched, the rabbit holes that consumed an entire weekend. That is compatibility data nobody else is using.

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How it works for true crime fans

Connect your listening and viewing. Spotify, Apple Podcasts, or answer the interest questionnaire. We pull your podcast subscriptions, listening depth, genre preferences, and content style signals. Nothing is shared raw - only signals.

The algorithm understands that true crime consumption exists in layers:


Niche overlap > mainstream overlap

Both having "Serial" in your podcast list? With 300 million downloads, that is barely a signal. Both subscribed to Casefile? Getting warmer. Both deep into a 40-episode series about an obscure cold case from the 1970s? That is a signal.

Mainstream
Serial
300M downloads → NicheWeight 0.08
Niche
They Walk Among Us
UK-focused, deep cases → NicheWeight 0.79

The algorithm also knows the difference between "subscribed but never finished episode 3" and "listened to every episode twice and joined the subreddit." Completion rates and re-listens turn a flat subscription into a real affinity score.


What gets scored

Shared podcasts - weighted by how niche they are. Both listening to the same 5,000-subscriber serialised investigation is a stronger signal than both knowing Crime Junkie
Documentary overlap - shared titles, shared ratings, preference for investigative vs narrative styles
Consumption depth - hours listened per week, episodes completed vs abandoned, series you have followed from start to finish
Tone preference - comedic true crime (My Favorite Murder) vs investigative journalism (In the Dark) vs narrative storytelling (Bear Brook). Your tone preference is a personality signal
Case type interests - cold cases, serial offenders, wrongful convictions, forensic science, missing persons, financial crime. Your case preferences map your curiosity
Format preference - serialised deep dives vs weekly anthologies vs book-to-podcast adaptations. How you consume is as revealing as what you consume
Shared boundaries - content you both avoid (exploitation, graphic detail, certain case types). Shared ethical lines in consumption are a compatibility signal too

Your podcast queue is a dating profile

Except it actually means something.

"You both listen to Casefile and RedHanded, you have both completed 8 serialised investigations this year, your tone preference overlaps 82% on investigative journalism, and you both spent 40+ hours on cold case content this month."

Not "you both like true crime." The actual data.


The rabbit hole, not the headline

True crime fans know the difference between casual interest and genuine obsession. The algorithm does too. Someone who watched one Netflix documentary is not the same as someone who has read three books, listened to two podcasts, and followed the court proceedings of the same case. Depth of engagement is the signal - not a genre checkbox.

And because true crime spans podcasts, documentaries, books, and online communities, the algorithm builds a multi-source profile. Your Spotify subscriptions, your documentary watchlist, and your reading habits all contribute to the same picture.


Integrations

Spotify
Podcast subscriptions, listening time, episode completion rates
Apple Podcasts
Subscriptions, played episodes, listening history
Trakt / Letterboxd
Documentary watchlist, ratings, genre preferences
Interest Q&A
Case type preferences, tone, format, consumption depth

All opt-in. All revocable. We show signals, never raw data.

Affinity Atlas is in development

No real matching is live yet. If you want to be the first to know when it launches - or you have ideas for how true crime fan matching should work - get in touch.

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