Curated with by@mohithkumar808

№ 0985Reddit post

musedirectory.dev: curated Muse and Muse Code use cases

Built musedirectory.dev to collect useful Muse agent and Muse Code use cases that were scattered across X threads, YouTube videos and blog posts.

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A directory of curated use cases for Meta's Muse agent and Muse Code.

Been playing with Meta's Muse since launch week and noticed everything useful was scattered across X threads, YouTube videos and random blog posts, so I put together musedirectory.dev to collect it all in one place.

Also filed under Apps & websites

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  1. 1009

    Private e-book library app from Google Drive★

    Muse built me a private library for the e-books and articles in my Google Drive. Everything is organized by topic, and each section opens onto its own subcategorized shelves. Each book opens like a real book and is readable in-app

    @chiasmus_cap

    X post

    Apps & websites

  2. 0888

    Muse builds apps on Replit★

    Muse can now make apps on Replit

    @amasad

    X post

    Apps & websites

  3. 0840

    Muse at Work: 500+ prompts★

    I just built the largest collection of helpful prompts (500+) to turn Muse into the best chief of staff, best marketer, best PM you've ever had. @Muse can be so much more than a glorified admin assistant. There are hundreds of ways to use it at your job. Completely free, check

    @chrsabraham

    X post

    Apps & websites

  4. 0580

    Tinder for Instagram unfollows★

    first thing I built with Muse was tinder for unfollowing people on instagram. took 2 min. the native ig integration is sooooo useful

    @thatguybg

    X post

    Apps & websites

More Reddit posts

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  1. 1071

    Public brokerage connector for Meta Muse

    Research markets, analyze your portfolio, and prepare trades right from your conversation. Guide to connect: https://public.com/api/docs/templates/meta-muse

    u/Public

    Reddit post

    Connectors & MCP

  2. 1067

    Muse Voice Transcribe tested on clinical diarization

    I've been working on clinical speaker attribution at Omi and wanted to compare the current diarization models on the same audio. I used 15 mock doctor–patient consultations from PriMock57, about 2.4 hours. Full recordings, automatic speaker counts, without telling the models there are two people. Batch Diarization error rate (DER), with ±250 ms boundary tolerance. Lower is better. Model DER Median processing time Pyannote Precision-3 2.891% 18.9 s / recording (API) Nemotron 3 4.803% 0.688 s / recording Pyannote Community-1 6.620% 18.691 s / recording Sortformer v1 6.778% 3.869 s / recording Sortformer v2.1 7.974% 1.077 s / recording VibeVoice-ASR 8.233% 123 s / recording Meta Muse Voice Transcribe † 13.042% 92 s / request (API) Local models ran on one NVIDIA L4. API times include round-trip overhead; VibeVoice-ASR also performs transcription. † Muse used 20 separate clips because of its 10-minute request limit, so its result isn't a whole-recording comparison. Pyannote Precision-3 had the lowest error. Nemotron came next and was the fastest local model. Streaming Model DER Pyannote live API 3.959% Nemotron 3 † 4.971% Sortformer v2.1 † 6.958% VibeVo

    u/MajesticAd2862

    Reddit post

    Benchmarks & research

  3. 1065

    Muse checks a training run and locks the Mac from a phone

    Built a small bridge so Muse can act on my Mac from my phone, and recorded a real session: it looks at the Terminal, reports the epoch, loss and accuracy it sees, then locks the machine when asked. What struck me building it is how much of the work is permissions, not intelligence: per-action consent, small window captures instead of a live feed, rejecting stale observations before any input. Free beta if anyone wants to try it. Developer here, ask away. try wand here today

    u/OldChemical3853

    Reddit post

    Agents & automation

  4. 1063

    Iggy, a Muse agent, reports on a day posting to Reddit

    Iggy, a Muse agent, spent a day posting in agent subreddits as a disclosed AI; posts in r/agenticAI and r/AI_Agents were removed by new-account filters, and it found threads focused on scaffolding, not the model.

    u/MuseIggy

    Reddit post

    Agents & automation

Curator picks

  1. 1057

    Muse Mail: your agent gets an email address★

    MUSE FEATURE ALERT: y'all have been asking for this one. your @muse is getting its own email address. add it to a thread or forward it stuff and it’ll handle it for you. muse mail!

    @alexandr_wang

    X post

    Agents & automation

  2. 1054

    Kevin Roose gives his Muse $100 and a Kalshi account★

    gave my Muse $100 and a kalshi account, let's see how frontier this thing is

    @kevinroose

    X post

    Agents & automation

  3. 1046

    Medical bills audited line by line, $4,000 saved★

    Got Muse logged in to my medical provider’s portal, he pulled the itemized bills, and questioned every line. So far he’s found several times I’d been double billed, asked for some discounts and has saved me over $4,000. If your moat is bureaucracy, you’re cooked.

    @Ryan_Holdaway

    X post

    Errands & personal agent

  4. 1042

    GitHub connector for Muse★

    GitHub 🤝 @Muse A new way to connect your GitHub account to review PRs, catch up on issues and notifications, and leave comments without switching tabs.

    @github

    X post

    Connectors & MCP

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