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
Product comments vs the next 3
Product upvote speed vs the next 3
Product upvotes and comments
Product vs the next 3
aaaa.fyi
Your agent's app store
An app store for AI coding agents. Browse and compare agent skills, MCP servers, plugins and subagents, sorted into real categories and ranked by actual install counts from skills.sh, npm and PyPI. One command to install. Free, no login to browse.
About aaaa.fyi on Product Hunt
“Your agent's app store”
aaaa.fyi was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #48 on the daily leaderboard. An app store for AI coding agents. Browse and compare agent skills, MCP servers, plugins and subagents, sorted into real categories and ranked by actual install counts from skills.sh, npm and PyPI. One command to install. Free, no login to browse.
On the analytics side, aaaa.fyi competes within Developer Tools, Artificial Intelligence and Search — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how aaaa.fyi performed against the three products that launched closest to it on the same day.
Who hunted aaaa.fyi?
aaaa.fyi was hunted by melih. 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 aaaa.fyi including community comment highlights and product details, visit the product overview.
Love that you pulled real install counts from skills.sh, npm, and PyPI instead of just slapping on some made-up popularity score. Sorting agents by what people actually use is honestly the kind of detail most directories completely ignore.