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 🚀
About ProductBridge on Product Hunt
“AI-native customer support and feedback agent”
ProductBridge launched on Product Hunt on September 18th, 2026 and earned 375 upvotes and 50 comments, placing #4 on the daily leaderboard. 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.
On the analytics side, ProductBridge competes within Customer Success, Customer Communication and OpenAI Day — topics that collectively have 19.1k followers on Product Hunt. The dashboard above tracks how ProductBridge performed against the three products that launched closest to it on the same day.
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.
Hareesh Vemasani