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It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
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ROSA
Windows orchestration using Ansible playbooks & AI
OSA is a self-hosted Windows auto-remediation dashboard. It takes alerts from Prometheus/Alertmanager, Slack, RSS or its own agent, matches them to YAML rules and runs Ansible playbooks to fix known issues automatically. Optional AI (off by default, your own API key) drafts rules and playbooks for unmatched alerts, queued for human approval.
About ROSA on Product Hunt
“Windows orchestration using Ansible playbooks & AI”
ROSA was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #233 on the daily leaderboard. OSA is a self-hosted Windows auto-remediation dashboard. It takes alerts from Prometheus/Alertmanager, Slack, RSS or its own agent, matches them to YAML rules and runs Ansible playbooks to fix known issues automatically. Optional AI (off by default, your own API key) drafts rules and playbooks for unmatched alerts, queued for human approval.
On the analytics side, ROSA competes within GitHub — topics that collectively have 41.5k followers on Product Hunt. The dashboard above tracks how ROSA performed against the three products that launched closest to it on the same day.
Who hunted ROSA?
ROSA was hunted by Gavin. 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 ROSA including community comment highlights and product details, visit the product overview.


It's still early days, and I'd love a few people to try it out and give any feedback!
https://github.com/rosa-tech26/ROSA