Most teams run a helpdesk, a feedback board and a survey tool, then copy between them all week. ProductBridge is one system. An AI agent answers support chats from your help center, calls your APIs via tools, workflows and MCP, and hands off when it should. Every chat, survey and vote is captured, deduplicated and scored by reach and revenue, so your roadmap runs on evidence, not opinions. Ship it and everyone who asked is notified. MCP for Claude, ChatGPT and Cursor. Flat pricing, free plan.
Hey Product Hunt 👋
Hareesh here, founder of ProductBridge. In March we launched here as an AI agent that collects feedback from Slack, Intercom, review sites and your feedback board, merges the duplicates, and turns the pile into a roadmap. You sent it to #1 for the day. Thank you for that 🙏
We spent the six months since watching how teams actually used it, and one pattern kept showing up: the feature request almost never started on the feedback board. It started as a support conversation, in a different tool, attached to a different customer record. Support saw it first, product saw it last, and nobody told the customer when it shipped.
So we built the other half. ProductBridge is now AI-native customer support and feedback on one customer record:
💬 Live chat + shared inbox — chat and email together, with assignments, SLAs and CSAT
🤖 AI support agent — grounded on your help center, calls your APIs through tools and workflows, and hands off to a human when it should
📚 Help center — write an article once and the agent answers from it
📊 Surveys — NPS, CSAT and CES inside your product, with responses flowing into the same feedback intelligence
🔌 MCP server — 36 tools, so you can ask Claude, ChatGPT or Cursor what your customers are asking for
🔁 The same closed loop as before — a support chat becomes a feature request, gets scored by reach and revenue, and the customer who asked is notified when it ships
What hasn't changed: flat price. No per-seat, no per-tracked-user, no per-resolution fees. There's a free plan, most teams are live in about 15 minutes, and if you're on Canny, Featurebase or Intercom we'll help you move.
One question for you 👇 What's the one thing your support + feedback stack still makes you copy-paste by hand? That's usually where we find the next thing to build.
I'll be here all day answering questions 🚀
You guys did an amazng job. Did you manage to bring in any new users today or get some valuable feedback?
One of the greatest challenge that I faced is getting geniune feedback from users and acting on them. Emails and surveys are the one that I reply upon and I think this will help me streamline my workflow. Nice product. Congratulations on the launch.
Congrats on the launch!
Gave it a quick spin, and two things stood out right away: the brand setup pulls your name, colors, and even a logo straight from your site URL, so the workspace looks finished in seconds. And the duplicate check before you submit new feedback is a nice touch, it quietly does exactly what the "merges duplicates" line on your homepage promises. Simple to pick up and clearly well thought through. Excited to see where this goes!
Congrats on the launch! I'm wondering how it is different from the AI agents that support companies provide?
Great to see that the team listened and built in more continuity for customer records and closing the loop. Congrats on the launch!
Great launch! Super helpful to have everything in one place. Congrats team!
Congrats on a great product, Hareesh and team. One of the biggest challenges we’ve faced with AI customer support agents is keeping the knowledge base up to date and ensuring that new information is reflected in customer conversations. In the past, someone asked a question that was slightly different from the usual ones, and the agent provided an outdated answer. Does ProductBridge include checks and validations to prevent this?
"Hands off when it should" is the sentence I'd want to stress test - what's the actual signal that triggers a handoff? Confidence score, specific intents that are always routed to a human, or something else? An agent that's slightly too confident about when it can resolve something on its own is worse than one that escalates too often, and that failure mode doesn't show up in a demo.
@hareesh_vemasani Loved the idea of bringing support and product feedback together. Abosoltely getting the point that a lot of useful feedback gets lost between these tools. The part about automatically grouping similar requests is pretty neat. Congrats on the launch!🫡
So youre telling me, i can finaly stop copying text from support tickets into Slack and pretending its a "product management"?😅Whats the funniest feature request your AI has helped spot so far?
quick question, does the platform support SSO and role-based access for larger product and support teams?
Can ProductBridge also help identify feedback trends before they become bigger customer pain points?
The integration with MCP sounds like a huge time saver for developers using Claude and Cursor.
The idea of keeping support conversations and product feedback in one customer record makes a lot of sense. Congrats on the launch!
Congrats on the launch @hareesh_vemasani, With feedback coming from support chats, surveys, and votes, how do you handle conflicting feedback from different customer segments? Can the AI help identify which insights are worth prioritizing for the roadmap?
Congrats on the launch. Can feedback collected from Slack, Intercom, Zendesk, and other sources be linked back to the same customer automatically?
About ProductBridge on Product Hunt
“AI-native customer support and feedback agent”
ProductBridge launched on Product Hunt on September 18th, 2026 and earned 420 upvotes and 54 comments, earning #3 Product of the Day. Most teams run a helpdesk, a feedback board and a survey tool, then copy between them all week. ProductBridge is one system. An AI agent answers support chats from your help center, calls your APIs via tools, workflows and MCP, and hands off when it should. Every chat, survey and vote is captured, deduplicated and scored by reach and revenue, so your roadmap runs on evidence, not opinions. Ship it and everyone who asked is notified. MCP for Claude, ChatGPT and Cursor. Flat pricing, free plan.
ProductBridge was featured in Customer Success (6.3k followers), Customer Communication (12.8k followers) and OpenAI Day (38 followers) on Product Hunt. Together, these topics include over 8.2k 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