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Stories by Kyle Lung · ranked by category · tech stack · backlink co-citation

Joan Slonczewski – Joan's books and evolving creatures

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advitimishra.com

Adviti Mishra – …with meraki

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arquillapress.com

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BAOYU'S STONE, DAIYU'S TEARS – 意淫二字，可心会而不可口传，可神通而不能语达

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celesteescalera.com

The Story Unfolds – “Where obsession meets storytelling – original short fiction, scripts, and digital drama by Celeste Escalera.

1 co-citations2 shared tech2 shared categoryfiction

FiC – Fic- Mentiras y una que otra verdad. ¿Quien sabe? ///// Fic- Lies and the occasional truth. Who knows?

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Ken Hubona – Author

1 co-citations2 shared tech2 shared categorybooks-and-literature

The Malphabet – Peter Van Schoick, author

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GregVenne.com – Greg Venne writes novels where family and religion blend into moral crisis within and between generations.

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Gregory N. Piperakis – Author's Page

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afriendofthedark.com

Are You a Friend of the Dark? – cyberhome for Erica Clashe's writing

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elementaltraction.com

Elemental Traction – where autobiography becomes a meta-narrative! (or something similarly silly)

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Write Aloud – Where We Say All the Things

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bookwormofsolitude.com

Writer. Reader. Reviewer. – Realm of the Imaginarium.

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Stories by A. E. Dooland

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eastside wallflower – writing, motherhood and everything in between

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How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

co-citations how often the same third-party websites link out to both — sites referenced together tend to serve the same world.
shared tech how much of their technology stack (CMS, e‑commerce, analytics, frameworks…) overlaps.
shared category whether they sit in the same business / industry category.
positioning how closely their titles and on‑page wording line up.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.