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Zackriya-Solutions
meetily
Rust2025–2026
Zackriya-Solutions / meetily

meetily

Privacy-first AI meeting note taker for Windows and macOS. Free, open source (MIT). On-device Whisper/Parakeet transcription and speaker diarization, no meeting bot. Open-source alternative to Granola, Otter and Fireflies. https://meetily.ai

AI & Machine LearningSecurity & PrivacyProductivitySelf-hostedMobile & Desktop
Explore on GitHubRead Hacker News discussions
4Distinct people
4Mentions
0Explicit recommenders
32.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Privacy-first AI meeting note taker for Windows and macOS. Free, open source (MIT). On-device Whisper/Parakeet transcription and speaker diarization, no meeting bot. Open-source alternative to Granola, Otter and Fireflies. https://meetily.ai

GitHub

Where it is used

No documented product use was verified in the last source check.

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, 5:04:57 PM UTC.

Show HN: Yogurt – Free, private, open-source alternative to Granola direct repository linkDebated

Users are debating whether Yogurt is a necessary replacement for Granola, with some viewing it as a vital cross-platform, private alternative while others argue it duplicates existing tools or lacks features like robust diarization. The strongest disagreement centers on the trade-offs between Yogurt's local-first Electron architecture and the performance or privacy implications of using cloud APIs or native frameworks.

111 readable replies · Supporting reply 1 · Supporting reply 2 · Supporting reply 3 · Supporting reply 4

Mentions over time

HN mentions by month4 dated mentions

Observed mentions: 2025-02-22 08:50:15 UTC to 2026-07-05 06:17:23 UTC.

012025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsFeb 20252025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsOct 20252025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-01 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-01 00:00:00 UTC to 2026-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-01 00:00:00 UTC to 2026-08-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJul 2026

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
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC101
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC000
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC110
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC000
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC000
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC000
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC110
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC000
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC000
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC000
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC000
May 20262026-05-01 00:00:00 UTC2026-06-01 00:00:00 UTC000
Jun 20262026-06-01 00:00:00 UTC2026-07-01 00:00:00 UTC000
Jul 20262026-07-01 00:00:00 UTC2026-08-01 00:00:00 UTC101

What Hacker News says

4 sources
zackriya·Nov 4, 2025Submission

Show HN: Meetily – Bot-free, self-hosted AI meeting notes-100% local processing

Hey HN! I'm a maintainer of Meetily, an open-source meeting assistant that runs entirely on your machine. The Problem: Current AI meeting tools (Otter.ai, Fireflies) require visible bots joining your calls and send all audio to their servers. This is awkward for client calls and impossible for GDPR/HIPAA environments. How Meetily Works: • Captures system + microphone audio locally (no visible bot in meetings) • Runs Parakeet / Whisper.cpp for live transcription (GPU-accelerated) • Generates summaries via local LLMs (Ollama) or API (Claude/GPT) • Everything stays on your hardware – zero cloud dependency Tech Stack: • Desktop: Tauri (Rust) + Next.js • Audio: System-level capture (no virtual cameras/bots) • Models: Parakeet, Whisper, Open source LLMs, OpenAi / Claude / Groq • Platforms: macOS, Windows, Linux (You might have t
Read the rest
o build. Build instructions available in Repo) It's MIT licensed and designed for teams that can't send sensitive data to third parties (Gov, legal, healthcare, finance). GitHub: https://github.com/Zackriya-Solutions/meeting-minutes Website: https://meetily.ai Would love feedback on the architecture, especially around audio capture reliability and model performance trade-offs!
1 points · Open discussion

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