№ 0165Reddit post
A world-history library site the author created with Muse and published as a muse.ai share page.
u/ImpressiveArt9817 shared a 'world history library' site they created with Muse, published at a muse.ai/s share link.
My creation
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
Muse can now make apps on Replit
@amasad
X post
Apps & websites
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
first thing I built with Muse was tinder for unfollowing people on instagram. took 2 min. the native ig integration is sooooo useful
@thatguybg
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Apps & websites
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
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
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
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
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
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Agents & automation
gave my Muse $100 and a kalshi account, let's see how frontier this thing is
@kevinroose
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Agents & automation
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
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Errands & personal agent
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
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Connectors & MCP