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).
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.
been building in public for about 8 months and the single biggest time sink is manually scanning reddit and HN every morning hoping to catch a thread where my product is relevant. usually miss them by hours when the convo is already cold. this solves an actual daily pain - finding high-intent threads while they're still active is everything. does it surface threads across multiple products/keywords at once, or is it one product per workspace right now?
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.
SignalStac was featured in Sales (21.9k followers), Marketing (465.7k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 191.3k products, making this a competitive space to launch in.
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.
Want to see how SignalStac stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Saurav Singh