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
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
SignalStac
Find high-intent conversations worth replying to
SignalStac is an AI agent that watches Reddit, Hacker News, and forums for conversations where your product is already relevant. It ranks the best threads, explains why they matter, and gives you the context to respond without manually scanning feeds all day. Built for founders doing early distribution, customer discovery, and founder-led sales.
Hey Product Hunt 👋
I built SignalStac while preparing to launch wacht.dev.
I kept manually scanning Reddit, Hacker News, and forums for people already talking about problems Wacht could help with: auth, agents, webhooks, and infrastructure for AI-native apps.
That process was slow, repetitive, and easy to miss.
So I built SignalStac: an AI agent that watches the web for high-intent conversations, ranks the ones worth replying to, and gives you the context you need before jumping in.
It’s not a social scheduler or a generic monitoring dashboard. It’s for founders who want to find conversations where their product is genuinely relevant.
Would love your feedback.
SignalStac was submitted on Product Hunt and earned 7 upvotes and 3 comments, placing #28 on the daily leaderboard. SignalStac is an AI agent that watches Reddit, Hacker News, and forums for conversations where your product is already relevant. It ranks the best threads, explains why they matter, and gives you the context to respond without manually scanning feeds all day. Built for founders doing early distribution, customer discovery, and founder-led sales.
On the analytics side, SignalStac competes within Sales, Marketing and Artificial Intelligence — topics that collectively have 960.7k followers on Product Hunt. The dashboard above tracks how SignalStac performed against the three products that launched closest to it on the same day.
Who hunted SignalStac?
SignalStac was hunted by Saurav Singh. 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 SignalStac including community comment highlights and product details, visit the product overview.
Saurav Singh