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).
Lumvise
Sticking project memory for you and your AI coding tools
Lumvise keeps explanations, decisions and reports connected to code, documents and image regions. Explore project relationships in a visual workspace and give your AI coding tools reusable context through a local MCP server.
Hi Product Hunt, I'm David, the founder of Lumvise.
Bringing an agent into a project often starts with another round of explaining the code, the decisions and the context. I built Lumvise to give people and AI tools a common place to keep that understanding.
You can attach explanations, decisions and reports to source files, exact code ranges or image regions. The visual workspace lets you explore relationships, work through ideas with an assistant and canvas, and keep useful knowledge beside the source it describes. Connected coding tools can read and save that context through MCP.
You can also export a snapshot for someone else to explore in a browser.
Lumvise is an early release. If you try it, I'd value feedback on the workflow, the clarity of the source links, and the context you still find yourself having to explain.
The exact code ranges are the part that stood out to me — attaching a decision to a range is more useful than a doc that drifts away from the code. I'm curious how those links hold up when the code moves: does a range follow a refactor, or does it flag itself as stale when the lines it pointed at change? And with the local MCP server, does an agent see just the notes for the files it's working on, or the whole project graph at once?
About Lumvise on Product Hunt
“Sticking project memory for you and your AI coding tools”
Lumvise was submitted on Product Hunt and earned 3 upvotes and 3 comments, placing #120 on the daily leaderboard. Lumvise keeps explanations, decisions and reports connected to code, documents and image regions. Explore project relationships in a visual workspace and give your AI coding tools reusable context through a local MCP server.
Lumvise was featured in Productivity (665.4k followers), Developer Tools (523k followers), Artificial Intelligence (483.5k followers) and GitHub (41.5k followers) on Product Hunt. Together, these topics include over 442.4k products, making this a competitive space to launch in.
Who hunted Lumvise?
Lumvise was hunted by David. 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.
Want to see how Lumvise stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
David
Hi Product Hunt, I'm David, the founder of Lumvise.
Bringing an agent into a project often starts with another round of explaining the code, the decisions and the context. I built Lumvise to give people and AI tools a common place to keep that understanding.
You can attach explanations, decisions and reports to source files, exact code ranges or image regions. The visual workspace lets you explore relationships, work through ideas with an assistant and canvas, and keep useful knowledge beside the source it describes. Connected coding tools can read and save that context through MCP.
You can also export a snapshot for someone else to explore in a browser.
Lumvise is an early release. If you try it, I'd value feedback on the workflow, the clarity of the source links, and the context you still find yourself having to explain.