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ZekeSnider
Jared
Swift2020–2025
ZekeSnider / Jared

Jared

An easily extensible chat bot for iMessage written in Swift.

4Distinct people
4Mentions
0Explicit recommenders
583GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

An easily extensible chat bot for iMessage written in Swift.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year4 dated mentions

Observed mentions: 2020-06-04 03:40:25 UTC to 2025-03-19 14:38:49 UTC.

0122020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

What Hacker News says

4 sources
Can you stop moving the goalposts? There's a ready-to-go open source solution for MacOS [1] that exposes a REST API [2] for interacting with iMessage which allows automation and the sky hasn't fallen like you predicted it would. Professional spammers would no doubt be way ahead in capabilities. Relying on clients to stop spam would break just about every security design principle so that could never be the primary spam filtering mechanism. Indeed, if you search Github, you'll find evidence of this [3]. Allowing a third party gadget to talk to an iPhone to send messages isn't going to open the floodgates to spam any more than they already are, for what I think are pretty obvious reasons. Anyone who could exploit those integrations can already exploit current APIs with exactly the same limitations. > In contrast you need to hook into Apple
Read the rest
APIs / scripting / sqlite databases on trusted apple hardware in order to automate iMessage. And that wouldn't change, you would still need to pair a real iPhone to your fake "spammer edition" Pebble, and then your Apple ID and iPhone would quickly get banned. Presumably just like it does now if you abuse [1][2], otherwise that's just bad design. It's frankly ridiculous that this is even being suggested on a "hacker" forum with nothing but wishy-washy qualifiers about how easy or "hard" it would be. [1] https://bluebubbles.app/ [2] https://documenter.getpostman.com/view/765844/UV5RnfwM#0d8e0... [3] https://github.com/ZekeSnider/Jared/issues/65
In Apple restricts Pebble from being awesome with iPhones
There are several providers that offer an iMessage service, like https://loopmessage.com/ and https://sendblue.co/. You could also go through Apple directly, although the process and API are not publicly defined. Another approach and mechanism can be seen in this repo https://github.com/ZekeSnider/Jared, where you can interact with the iMessage database directly and script a device to handle inbound and outbound messages.
In Show HN: Jarvis AI – Text, iMessage, and Email ChatGPT
I've been working on a new version of [my iMessage bot](https://github.com/inculi/Sue) recently. Previously it was using Applescript handlers on Sierra, now sqlite calls to iMessage's chat.db (I have to give credit to another bot, [Jared](https://github.com/ZekeSnider/Jared) for help in this area). I get latest messages with: ``` SELECT handle.id, handle.person_centric_id, message.cache_has_attachments, message.text, message.ROWID, message.cache_roomnames, message.is_from_me, message.date/1000000000 + strftime("%s", "2001-01-01") AS utc_date FROM message INNER JOIN handle ON message.handle_id = handle.ROWID WHERE message.ROWID > #{rowid}; ``` and their attachments with: ``` SELECT attachment.ROWID AS a_id, message_attachment_join.message_id AS m_id, attachment.filename, attachment.mime_type, attachment.total_bytes FROM attachment INNER JO
Read the rest
IN message_attachment_join ON attachment.ROWID == message_attachment_join.attachment_id WHERE message_attachment_join.message_id >= #{rowid}; ``` where rowid is the max rowid from the previous search, and attachments with null mime_types get ignored (YouTube previews, etc). Sending through Applescript still.
In iMessage for Windows: A labor of love that will never see light of day (2018)

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