This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Muse Wonder
Meta's frontier model for personal and professional agents
Muse Wonder is Meta's most capable model, built for personal and professional agents. Active Memory carries what matters about you across conversations, and Active Focus keeps working toward hard goals, trying new approaches and checking in before important actions. Meta reports frontier coding and state of the art agent results. It's live today in the Meta Model API and Muse Code, and the bigger Muse Wonder Full is available for Muse Code subscribers.
Meta just introduced the Muse Wonder series, and they say it's their most capable work yet, with state of the art results on personal and professional agent tasks, memory and coding. It's the next step after Muse Spark, and Meta shared demos ranging from a playable 3D kitchen game to a wedding seating chart here.
Active Memory is the part I'm most excited about. A personal agent is only useful if it remembers what matters about you across conversations and pulls up the right detail when the task actually needs it.
Active Focus is the one I'd test first. Meta says the model keeps pushing toward a hard goal, tries other approaches when it gets stuck, and checks in with you before taking important actions, which is exactly what long agent runs need.
Muse Wonder Full is the bigger sibling, and it's available today for Muse Code subscribers if you want the most capable version for heavier coding work. You can try Muse Wonder in Muse Code right now: https://developer.meta.com/ai/products/muse-code Give it a spin and let the team know what you build with Muse Wonder 🚀 PS: Tagging @alexandrw and @dps_ if you're here for any additional comments/ thoughts.
About Muse Wonder on Product Hunt
“Meta's frontier model for personal and professional agents”
Muse Wonder was submitted on Product Hunt and earned 8 upvotes and 1 comments, placing #151 on the daily leaderboard. Muse Wonder is Meta's most capable model, built for personal and professional agents. Active Memory carries what matters about you across conversations, and Active Focus keeps working toward hard goals, trying new approaches and checking in before important actions. Meta reports frontier coding and state of the art agent results. It's live today in the Meta Model API and Muse Code, and the bigger Muse Wonder Full is available for Muse Code subscribers.
On the analytics side, Muse Wonder competes within Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Muse Wonder performed against the three products that launched closest to it on the same day.
Who hunted Muse Wonder?
Muse Wonder was hunted by KP. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Muse Wonder including community comment highlights and product details, visit the product overview.
KP
Hey PH community 👋
Excited to hunt Muse Wonder today.
Meta just introduced the Muse Wonder series, and they say it's their most capable work yet, with state of the art results on personal and professional agent tasks, memory and coding. It's the next step after Muse Spark, and Meta shared demos ranging from a playable 3D kitchen game to a wedding seating chart here.
Here's some examples from the community:
https://x.com/chetaslua/status/2109706192721494130
https://x.com/studio_yebisu/status/2109717490586783884
https://x.com/motion_so/status/2...
Active Memory is the part I'm most excited about. A personal agent is only useful if it remembers what matters about you across conversations and pulls up the right detail when the task actually needs it.
Active Focus is the one I'd test first. Meta says the model keeps pushing toward a hard goal, tries other approaches when it gets stuck, and checks in with you before taking important actions, which is exactly what long agent runs need.
Muse Wonder Full is the bigger sibling, and it's available today for Muse Code subscribers if you want the most capable version for heavier coding work.
You can try Muse Wonder in Muse Code right now: https://developer.meta.com/ai/products/muse-code
Give it a spin and let the team know what you build with Muse Wonder 🚀
PS: Tagging @alexandrw and @dps_ if you're here for any additional comments/ thoughts.