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).
Your audience is already telling you what to make next. FeedPulse makes sure you don’t miss it. It collects comments across your social content and analyzes sentiment, recurring topics, questions, complaints, and content requests. Instead of reading thousands of comments, you get a clear view of what your audience cares about, what they want next, and how sentiment changes over time.
Hey Product Hunt I’m Randall, founder of FeedPulse.
I started building FeedPulse after noticing a strange mismatch: creators and brands have more direct audience feedback than ever, but they still have to make important decisions from a handful of comments, screenshots, and gut feel.
The real signal is scattered across thousands of conversations on YouTube, TikTok, Instagram, Reddit, and X.
Those comments contain content requests, recurring complaints, product ideas, sentiment shifts, and clues about which partnerships will resonate. But reading everything manually does not scale, while traditional analytics usually reduce the audience to views, likes, and engagement rates.
FeedPulse reads the conversations themselves.
It continuously collects and analyzes audience comments, groups recurring themes, tracks changes in sentiment, and surfaces the things worth creating, fixing, or acting on next.
The goal is simple: creators, agencies, and brands should not have to guess what an audience wants when the audience is already telling them.
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About FeedPulse on Product Hunt
“Never miss what your audience is saying again”
FeedPulse was submitted on Product Hunt and earned 8 upvotes and 4 comments, placing #27 on the daily leaderboard. Your audience is already telling you what to make next. FeedPulse makes sure you don’t miss it. It collects comments across your social content and analyzes sentiment, recurring topics, questions, complaints, and content requests. Instead of reading thousands of comments, you get a clear view of what your audience cares about, what they want next, and how sentiment changes over time.
FeedPulse was featured in Social Media (89.3k followers) and Marketing (467.7k followers) on Product Hunt. Together, these topics include over 105.1k products, making this a competitive space to launch in.
Who hunted FeedPulse?
FeedPulse was hunted by Randall Spence. 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 FeedPulse stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Randall Spence
Hey Product Hunt I’m Randall, founder of FeedPulse.
I started building FeedPulse after noticing a strange mismatch: creators and brands have more direct audience feedback than ever, but they still have to make important decisions from a handful of comments, screenshots, and gut feel.
The real signal is scattered across thousands of conversations on YouTube, TikTok, Instagram, Reddit, and X.
Those comments contain content requests, recurring complaints, product ideas, sentiment shifts, and clues about which partnerships will resonate. But reading everything manually does not scale, while traditional analytics usually reduce the audience to views, likes, and engagement rates.
FeedPulse reads the conversations themselves.
It continuously collects and analyzes audience comments, groups recurring themes, tracks changes in sentiment, and surfaces the things worth creating, fixing, or acting on next.
The goal is simple: creators, agencies, and brands should not have to guess what an audience wants when the audience is already telling them.