APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product. Learn more →
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Biscotti discussion
Biscotti reviews and mentions
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Cloudflare Ohttp Gateway
I’ve wanted this for a while. I make private desktop software for transcribing meetings. It’s essentially offline, but things like checking for updates require the network. I looked at ohttp but it was still private, and ended up pinging GitHub releases directly.
There’s also room for a privacy-centric analytics offering
https://github.com/scosman/Biscotti
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Apple Caught Off Guard by AI Demand for Mac Mini and Mac Studio
Right now sweet spot is voice transcription. Meeting recording apps are genuinely better locally than in cloud. Can run on an M1 easily. Latency matters. I built https://github.com/scosman/Biscotti and see zero reason to use cloud ever again.
LLMs are harder: not much useful below 12B, and the 700B+ ones are really much better. Models like Qwen 3.8 27b show promise: in a few years pretty good local AI should be in reach for anyone willing to buy a $1000 computer.
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GLM-5.3 is now open-weight
z.ai coder plan, both in opencode and direct API access. I use it for my side projects like https://github.com/scosman/Biscotti (on-device meeting transcription and summaries).
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Show HN: Biscotti – on-device meeting transcription for macOS
https://github.com/scosman/Biscotti
I got tired of Electron meeting-transcription apps that upload my private audio to a server to do transcription/summary my MacBook could do locally in seconds. So I built Biscotti: a free, local meeting recorder. Calendar integration, voice isolation, speaker ID, AI summaries, native UI — and nothing ever leaves your device.
It's completely private: all AI runs locally, all data stored locally, nothing leaves your device, no cloud. It's native macOS (SwiftUI, not Electron), so it's smaller, faster, and more intuitive. And no bot ever joins your call - it uses system audio APIs, so it works with every app.
It integrates deeply with your Mac. It watches for meetings via audio APIs and offers to record when one starts, then automatically stops when the meeting ends (cancelable). It reads your calendar to see upcoming meetings, offers to start recording when they begin, and uses that metadata to help identify speakers. Speaker ID combines diarization, calendar metadata, and the transcript to figure out who's who automatically. Voice isolation separates your mic from your speaker output for clean audio.
The AI is customizable: want it to generate action items? A Slack-style summary? Talk like a pirate? Just edit the summary prompt. There's also markdown notes, and it keeps compressed audio files so you can re-transcribe later.
It's completely free. Under the PolyForm Perimeter License — fairly permissive (but not OSI open source).
Models and SDKs:
Transcription — Whisper Large V3 Turbo via WhisperKit -
A note from our sponsor - AppSignal
www.appsignal.com | 15 Oct 2026
Stats
scosman/Biscotti is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of Biscotti is Swift.