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).
Local security proxy for AI coding agents. Sit between agent and MCP servers, check every tool call against your rules, block risky ones, log everything for audit.
It's high time when people should be aware of their privacy and security. I believe people should give this a try, and share the feedback so we can figure out more edge cases and expand our domain.
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About Context Fence on Product Hunt
“Runtime firewall for AI coding agents.”
Context Fence was submitted on Product Hunt and earned 7 upvotes and 1 comments, placing #61 on the daily leaderboard. Local security proxy for AI coding agents. Sit between agent and MCP servers, check every tool call against your rules, block risky ones, log everything for audit.
Context Fence was featured in Developer Tools (519k followers), Artificial Intelligence (478.1k followers) and Security (2.9k followers) on Product Hunt. Together, these topics include over 208.4k products, making this a competitive space to launch in.
Who hunted Context Fence?
Context Fence was hunted by Aditya Srivastava. 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 Context Fence stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
It's high time when people should be aware of their privacy and security. I believe people should give this a try, and share the feedback so we can figure out more edge cases and expand our domain.