platoseed
Copilot for product teams
Helping product builders to listen to users at scale so they can make something people want.
Kraftful markets itself as an AI copilot for product teams, transforming user feedback from multiple sources into actionable product insights. It positions itself as a centralized platform to analyze surveys, reviews, calls, and tickets with AI-powered features and language translation, aimed at speeding up product discovery and roadmapping.
Connects multiple feedback sources (e.g., app reviews, support tickets, surveys, calls, Intercom, G2, Trustpilot, Slack) and automatically analyzes them using an AI-native platform to identify feature requests, complaints, and other themes. It offers trends over time, topic deep-dives, auto-translation, and the ability to generate user stories and PRDs, export to Jira/Linear, and create surveys. It also provides AI-powered interviews, sentiment/summary generation, auto-sorting, and a collaborative workspace with translated feedback and Slack integrations. Users can start by connecting sources, then view topic-driven insights, run custom surveys, and organize insights into projects and roadmaps, with the option to translate and post updates to team channels.
Who itβs for: Product teams and product managers who collect large volumes of user feedback across multiple sources and want to translate that feedback into actionable roadmaps and user stories.
acquired by Amplitude
Founder & CEO of Kraftful (acquired by Amplitude) Before starting Kraftful, I led product at a range of tech companies, from being PM #2 at a fast-growing unicorn to heading product teams building products used by millions. That experience inspired me to start Kraftful, to help product teams ship products people love.
Helping product builders to listen to users at scale
Kraftful launches a beta product for product teams to listen to users at scale by aggregating feedback from app stores, support tools, and interviews, generating summaries of feature requests and complaints, and enabling follow-up questions to uncover insights for roadmap decisions. It targets product builders seeking to engage users and improve development through direct input.
From the original launch (Feb 2023) β may be outdated.

AI-powered user assistance platform

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