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!
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?
One of my biggest challenges with customer feedback is trying to filter out which ones were real feedback and which ones were from bots/fake. Are there ways that ProductBridge help with this?
great to something like this coming to help founders manage better product feedback.
Excellent looking app for building a customer feedback loop & offering transparency!
Congrats on the launch!
Feedback is everywhere — support tickets, Slack, emails, user calls, but turning it into clear, actionable insights is still a big challenge for most teams.
ProductBridge seems to be tackling exactly that gap. If done well, this could really help teams prioritize better and build what users actually need.
Curious, how does ProductBridge handle deduplicating and prioritizing feedback across different sources?
Congrats on the launch and excited to see how this evolves 🚀
Congrats on the launch! But how is it different from, say, ProductBoard, Canny, airfocus, and the likes?
Congrats on the launch! The closed-loop piece, auto-notifying users when their feature ships, is something most feedback tools completely ignore. Smart move on flat pricing too. Rooting for you guys
Happy launch team! Quick question: How do you handle context and prioritization when aggregating feedback from so many different sources? For example, how do you distinguish between loud but low-impact requests and signals that actually represent broader customer demand, and how reliable is the deduplication when similar feedback is phrased differently across channels?
