Platypus – Local meeting transcription, notes, and chat (Tauri, Rust)

Hacker News

Hi HN — I built Platypus as I wanted to combine note taking, live transcription and knowledge base management in one app. Granola / Notebook LM free local alternative. It's a Tauri/Rust desktop app that does on-device meeting transcription via whisper.cpp, notes in TipTap, and per-project HNSW vector search across your knowledge base. You bring your own LLM (Claude, OpenAI, Gemini, or local Ollama). A few things that were interesting to figure out: Zoom/Teams meeting auto-detection works via process inspection — Zoom spawns CptHost only during an active call (not when the app is just open), and Teams's audio.mojom.AudioService sub-process. No Zoom/Teams API access needed. Local Whisper works great - on Mac. Old PC experience not recommended, so I built in API transcription switch if the local model is slow. Repo: https://github.com/pixelsmasher13/platypus Site: https://platypusnotes.com Feedback welcome!

Visit product View on Hacker NewsApr 29, 2026

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3points

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, claude, model · Missing: agents, macos, agent

97%97% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: ios, gemini · Missing: supports, reddit linkedin, podcasting

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: llama, io · Missing: https docs, excited, just released

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat, audio · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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