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uri:

"at://did:plc:4e3mlfezhmqpi467lahlpn5f/app.bsky.feed.post/3lc3rjde2fc26"

cid:

"bafyreifyotz43tstqzhvdkgls6kdib7xlz3vt6m7jw2n3rieqmg6b4w6wa"

value:

text:

"I think people's problem with hotness is that it's a vague term for a normally opaque algorithm, which is exactly the thing they are trying to avoid by coming to bsky.
Fortunately, bsky is completely open-source, so you can just pull up the codebase and see the algorithm! github.com/bluesky-soci..."

$type:

"app.bsky.feed.post"

embed:

$type:

"app.bsky.embed.recordWithMedia"

media:

$type:

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images:

• alt:

  "// Inspired by https://join-lemmy.org/docs/contributors/07-ranking-algo.html
  // We want to give recent comments a real chance (and not bury them deep below the fold)
  // while also surfacing well-liked comments from the past. In the future, we can explore
  // something more sophisticated, but we don't have much data on the client right now.
  function getHotness(post: AppBskyFeedDefs.PostView, fetchedAt: number) {
    const hoursAgo = Math.max(
      0,
      (new Date(fetchedAt).getTime() - new Date(post.indexedAt).getTime()) /
        (1000 * 60 * 60),
    )
    const likeCount = post.likeCount ?? 0
    const likeOrder = Math.log(3 + likeCount)
    const timePenaltyExponent = 1.5 + 1.5 / (1 + Math.log(1 + likeCount))
    const timePenalty = Math.pow(hoursAgo + 2, timePenaltyExponent)
    return likeOrder / timePenalty
  }"

  image:

  

  View blob content

  $type:

  "blob"

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  aspectRatio:

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record:

$type:

"app.bsky.embed.record"

record:

cid:

"bafyreidkyxbamanxtvftxo6hqeb7bxcj7ushc5rsfhgvffj7ox23dw23oe"

uri:

"at://did:plc:z72i7hdynmk6r22z27h6tvur/app.bsky.feed.post/3lbxfx4nfkk2z"

langs:

• "en"

facets:

• index:

  byteEnd:

  299

  byteStart:

  273

  features:

  • uri:

    "https://github.com/bluesky-social/social-app/blob/5f4a0f2881b9420f3a3f3fb6527352f58a99d9ea/src/state/queries/post-thread.ts#L314"

    $type:

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createdAt:

"2024-11-29T14:18:14.253Z"