Tria provides a unified feedback board that aggregates input from sources like Canny, CSVs, support threads, and call notes into a single, queryable store. The platform offers an open API and CLI at a base tier without per‑user fees, enabling coding agents in tools such as Cursor or Claude Code to read and write feedback data, automate changelog drafting, and respond to users directly.
Funding
Funding not disclosed
Founders
Product
Problem
Product teams often collect user feedback across multiple disconnected sources such as Canny boards, CSV exports, support tickets, and call notes, making it difficult to aggregate, analyze, and act on the data efficiently.
Solution
Tria provides a single feedback board that consolidates inputs from Canny, CSV files, support threads, and call notes into a unified, queryable store. The platform offers an open API and command‑line interface at the base tier with no per‑user fees, enabling coding agents in tools like Cursor or Claude Code to read and write feedback data programmatically. Users can import existing requests, surface duplicate or thematic requests, and link shipped features to the original feedback. Tria also automates changelog generation and targeted user notifications based on the linked feedback records.
Target Audience
Primary customers are product and engineering teams that need a centralized feedback repository and want to integrate it with AI‑assisted development tools.
Features
- Unified board that aggregates feedback from Canny, CSV imports, support chats, and call notes into a single clean store
- Open REST API and CLI available at the base tier, free of per‑user pricing, for programmatic read/write access
- Agent‑compatible integration allowing AI coding assistants (e.g., Cursor, Claude Code) to query and update feedback data
- Duplicate detection and theme surfacing to highlight common user requests and affected customers
- Automatic changelog drafting and user notification queuing linked to specific feedback items
- Simple import workflow with mapping of title, description, customer, status, tags, and vote count