ProductBridge

ProductBridge

AI agent to collect and manage customer feedback

H
@hareesh
Published on Aug 9, 2026
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Pricing
Freemium from $29
Platforms
Web

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Described for AI with use cases, audiences, platforms and pricing so assistants can match it to the right questions.
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Queryable through the PeerPush API, MCP and semantic search from day one.

About ProductBridge

ProductBridge is an AI-powered customer feedback platform built for SaaS teams. It brings feedback boards, feature voting, product roadmaps, and changelogs into one tool — replacing the usual scatter of spreadsheets, email threads, and support tickets with a single system where feedback actually turns into shipped features. Key features AI auto-ingestion — pulls feedback automatically from Slack, Intercom, Zendesk, Discord, and Jira, plus review sources like G2, Trustpilot, and app stores AI deduplication & categorization — merges duplicate requests and sorts everything into themes, so the same idea never gets logged five times Ask AI — query all your feedback in plain language ("what are enterprise users asking for this quarter?") instead of digging through boards Feature voting — users upvote requests, giving a real signal of demand before you commit engineering time Feedback boards — public, private, and segment-based, with custom statuses Public roadmap — Planned, In Progress, and Shipped stages tied to actual votes Changelog + in-app "What's New" — announce releases and notify the exact users who asked AI changelog writer — turns shipped work into polished release notes in seconds White-label branding, custom domain, SSO/SAML API + MCP server — lets AI assistants query your feedback data directly What makes it different Most feedback tools charge per seat. ProductBridge is flat-priced — no per-seat or per-feature fees — so costs stay predictable as your team grows, and you're never deciding whether a teammate is "worth a seat." It's also AI-native rather than AI-bolted-on: collection, deduplication, categorization, plain-language querying, and changelog writing all run through AI by default. And the MCP server is something most incumbents don't offer — your feedback data is directly queryable by AI assistants for custom analysis and workflows. What you can expect Feedback stops disappearing into support tickets and DMs — it lands in one place automatically Less time spent hand-triaging and merging duplicates Prioritization driven by what users actually asked for, backed by votes, rather than the loudest voice in the room Fewer "when is this shipping?" tickets, because the public roadmap answers it Customers see their input turn into real changes — the thing that builds trust and keeps them around A pricing line that doesn't grow every time you hire Free tier available, plus a 14-day trial on paid plans. Runs entirely in the browser.

Screenshots

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Reviews (11)

Average 5.0 out of 5

5.0

Based on 11 reviews

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eldhobenny

ProductBridge brings together a lot of the feedback workflow in one place, and the AI ingestion + deduplication looks especially useful for SaaS teams dealing with feedback across multiple channels. The flat pricing is also a nice touch. Great product! 🚀

primepage123

ProductBridge sounds very interesting concept. Especially when teams like us are drowning in feedback - scattered across platform - can now be collected with this. Very promising platform.

miacollins5003

Love the AI-first approach here! Turning scattered customer feedback into actionable roadmaps is a genuinely useful idea. 🔥

Comments (4)

kunal
@kunal

All the best team. Great product

eldhobenny
@eldhobenny

Really like the AI-native approach here. Bringing feedback, prioritization, roadmap, and changelogs into one workflow makes a lot of sense. 👏

R
@robertmine457

Really like the idea of bringing scattered customer feedback into one place and letting AI make sense of it. The duplicate detection + feedback-to-roadmap workflow is especially interesting.

H
@hareesh

Hey 👋 I'm Hareesh, co-founder. Feedback gets scattered across Intercom, Slack, and tickets - ProductBridge auto-collects it, organizes it with AI, and turns it into roadmaps. Free tier, flat pricing