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Virtual context and memory for AI coding assistants
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About GitHub on Product Hunt
“Virtual context and memory for AI coding assistants”
GitHub was submitted on Product Hunt and earned 3 upvotes and 0 comments, placing #140 on the daily leaderboard. Virtual context and memory over MCP. Contribute to naseridev/orven development by creating an account on GitHub.
GitHub was featured in Open Source (68.6k followers), Developer Tools (516.4k followers), Artificial Intelligence (474.5k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 226.4k products, making this a competitive space to launch in.
Who hunted GitHub?
GitHub was hunted by Nima Naseri. 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 GitHub stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Nima Naseri