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).
A fast, local, private desktop app for managing Azure Service Bus. Peek messages, resend dead letters, and search your entire bus from one keyboard-driven interface. Ships a built-in Model Context Protocol (MCP) server so AI assistants can list namespaces, search resources, and peek messages. Free for Windows and macOS.
I wanted a faster and more modern tool than the good old "service bus explorer". With a new design, persistant connections, monitoring, mcp endpoints, spotlight search and more!
...also, i felt bad for all the mac users that didn't have a viable option.
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About viewbus on Product Hunt
“Finally a modern service bus explorer”
viewbus was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #160 on the daily leaderboard. A fast, local, private desktop app for managing Azure Service Bus. Peek messages, resend dead letters, and search your entire bus from one keyboard-driven interface. Ships a built-in Model Context Protocol (MCP) server so AI assistants can list namespaces, search resources, and peek messages. Free for Windows and macOS.
viewbus was featured in Developer Tools (515.4k followers) and Development (6k followers) on Product Hunt. Together, these topics include over 78.5k products, making this a competitive space to launch in.
Who hunted viewbus?
viewbus was hunted by Håkon Lia. 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.
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Håkon Lia