Your feedback is everywhere — Slack threads, Intercom support tickets, review sites, DMs. ProductBridge's AI agent collects it all automatically, organizes it, deduplicates, and helps your team ship what users actually want. Users request features, upvote, and watch ideas move through your public roadmap. Teams prioritize with data, publish changelogs, and auto-notify users when their feature ships. One platform. Complete feedback loop. Flat pricing. No seat fees. No surprises. Ever.
Hey Product Hunt! 👋
We built ProductBridge because we were drowning in our own feedback.
Slack threads, Intercom tickets, G2 reviews, Trustpilot, customer calls — feedback was everywhere, but our roadmap decisions felt like guesswork. We'd miss patterns, duplicate effort, and users never knew what happened to their ideas. Sound familiar?
So we built an AI-agentic feedback platform that:
🔄 Collects automatically from Intercom, Slack, Trustpilot, G2, ProductHunt & more
🧠 Organizes with AI — categories, deduplication, sentiment scoring, trend analysis
🗺️ Roadmap built on data — prioritize by user demand, not gut feel
🚀 Auto-changelog — AI writes your changelog entry when you ship
📣 Closes the loop — users get notified the moment their requested feature ships
You don't need multiple tools. Setup takes under 30 minutes.
And then there's the pricing.
Starts at $24/mo. Flat. No per-seat fees. No feature unlocks. No bill shock.
Try ProductBridge now!
Congratulations @hareesh_vemasani and team. Great idea to simplify life for product and customer service folks
A lot of teams say they’re customer-driven until the feedback is split across six tools and two random spreadsheets. This feels like a fix for that exact mess.
Took a quick look, initially it felt like a familiar feedback tool.
What clicked for me a bit later was the 'pulling feedback from everywhere automatically' part. That feels like the real shift.
Made me wonder if people usually get that right away, or if it takes a second like it did for me?
Congratulations on the launch.
The signup and onboarding flow feels very clean and intuitive. I was able to quickly understand what to expect after signing up, which made the initial experience seamless.
The ability to integrate and collect feedback across multiple channels automatically addresses a major pain point. From my own experience managing different customer support channels and aligning them with the product roadmap, it’s easy to miss requests and it can become quite time-consuming. This approach seems to significantly streamline that process.
I’m curious if there are plans to extend this further into customer support workflows. For example, enabling an embeddable chat interface on a website where the AI agent can reference the knowledge base, roadmap, and feedback tickets to respond to users, and seamlessly hand off to the support team when needed.
Overall, this looks like a very promising product.
There is a problem with the payment gateway.
Your payment method won't be charged because you're in a test environment
timing is everything with this. built something myself and the biggest mistake was collecting feedback too late. question: does it consolidate across app store reviews too or mainly social/community platforms
When users are notified after shipping, how do you avoid sending irrelevant updates to people whose requests only partially match?
I like the direction of the product. As a PM, I always use Dovetail to aggregate user reviews from different channels. But the "feature brainstorming" and "prioritization" part I do with my co-pilot, but it's a second surface (outside Dovetail) so I have to switch between them. Kudos for solving these problems as I see it and both important parts can be done with the same tool.
Bringing feedback from multiple channels into one place and actually turning it into roadmap decisions sounds really useful. I like the focus on closing the loop with users after features ship. How does ProductBridge detect and merge duplicate feedback across different sources without losing important context?
Hey Hareesh, congrats on the launch! Interesting tool solving a real problem.
Question: Feedback online is highly skewed and biased (as it takes particular types of personas to post, with no proper way to 'control' via experimental design). Is a product roadmap built on online feedback the best path forward for builders?
Great product which solves a real pain point! Congratulations on your launch!
Congrats on the launch, team! I saw the ability for users to add context to their request but are teams able to directly follow up for user interviews? Also can teams invite users to try beta versions based on their feedback/requests?
How does the deduplication work when users describe the same issue in completely different words? Congrats on the launch!
This is a very interesting idea. In our business, we receive a lot of feedback from multiple channels that never really gets processed as data as such, so this idea could actually be relevant, but I have a couple of doubts that came to mind:
The actionable insights sound great, but how does the app process contradictory feedback from clients to decide which side to lean to? Is there a process of prioritizing certain types of feedback over others? It would be super interesting to get a bit more info about this.
Anyways, congratulations for the launch!
Feedbacks are like goldmine, just curious how will ProductBridge will filter out feedbacks from tons of other contents. Congratulations on the launch. This looks a great product that will genuinely help businesses.
Congrats on the launch! How does ProductBridge handle conflicting signals? (example: when a feature is largely recommended by free users but paying customers never mention it). Does AI score accounts by revenue impact, or is prioritization purely vote-based?
About ProductBridge on Product Hunt
“Agent that collects feedback across multiple platforms”
ProductBridge launched on Product Hunt on March 20th, 2026 and earned 593 upvotes and 76 comments, earning #1 Product of the Day. Your feedback is everywhere — Slack threads, Intercom support tickets, review sites, DMs. ProductBridge's AI agent collects it all automatically, organizes it, deduplicates, and helps your team ship what users actually want. Users request features, upvote, and watch ideas move through your public roadmap. Teams prioritize with data, publish changelogs, and auto-notify users when their feature ships. One platform. Complete feedback loop. Flat pricing. No seat fees. No surprises. Ever.
ProductBridge was featured in Productivity (653.3k followers), Customer Communication (12.7k followers) and SaaS (42.4k followers) on Product Hunt. Together, these topics include over 188k products, making this a competitive space to launch in.
Who hunted ProductBridge?
ProductBridge was hunted by Hareesh Vemasani. 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 ProductBridge stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Hareesh Vemasani