{
  "$type": "site.standard.document",
  "bskyPostRef": {
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    "uri": "at://did:plc:haakkg7y3xdghcdmprxeexso/app.bsky.feed.post/3movf7l44fg62"
  },
  "path": "/t/nearly-family-location-sharing-without-the-data-harvesting/37803?page=2#post_30",
  "publishedAt": "2026-06-22T15:27:59.000Z",
  "site": "https://discuss.privacyguides.net",
  "tags": [
    "Nearly",
    "Paralino",
    "gh",
    "Grid",
    "Zood",
    "Owntracks"
  ],
  "textContent": "mmx:\n\n> Full E2EE would break that. To be transparent - as the server operator I can query the database, so location data is visible to me at the infrastructure level. That’s a real architectural constraint, not a convenience trade-off.\n\nThis comment with llmisms combined with the website design is giving me the sense that AI is being used heavily in this project. This combined with lack of source code is heavily pushing me away.\n\nI’m not trying to witch hunt AI. And it might be AI edited and not generated or maybe there’s no AI at all, one can be sure. I don’t mind devs using AI when I trust them and the code is open source and audited, but this is just my personal reaction.\n\nAlso why is phone number being used?\n\nSeems like there’s a ton of these services popping up so I’m happy about the competition and looking forward to who comes out on top.\n\nNearly (gh) open source not planned, e2ee, play store only, android only. Actively developed.\n\nParalino (gh) open source client planned, e2ee. Play store only, iOS support. Actively developed.\n\nGrid (gh) - open source, AGPL clients, unsure about server. E2ee, degoogled, grapheneos support. Play store, gh, iOS. ~500 stars\n\nZood (gh) - open source client, e2ee. AGPL Unsure if server is open. Izzyondroid, gh, fdroid play store, iOS. Android App ~160 stars. 2025 most recent update to android app.\n\nOwntracks (gh) open source client and server, no e2ee. Over 1700 stars. Play store, GH, F-Droid, iOS.\n\nLmk if there’s something missing from my comparison I just did a brief look.",
  "title": "Nearly – Family Location Sharing Without the Data Harvesting"
}