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Dodger – turns a feature idea into a PRD, wireframes, and user stories

Dodger – turns a feature idea into a PRD, wireframes, and user stories

by YusufS·Jun 24, 2026·2 points·0 comments

AI Analysis

●●SolidBig BrainBold Bet

Synthetic user testing on generated flows before engineering builds anything.

Strengths
  • Linear and Granola integrations ground outputs in real product data.
  • MCP server enables AI agents to consume generated specs directly.
  • End-to-end pipeline from research to user stories with acceptance criteria.
Weaknesses
  • Synthetic user testing methodology unproven, no validation data shown.
  • Figma and PostHog integrations still coming, core workflow incomplete.
Category
Target Audience

Product managers, startup founders

Similar To

Productboard · Notion AI · Craft

Post Description

Dodger is a product development engine. Tell it what you're building ("we're working on a new feature for SDRs to autonomously qualify inbound leads") and it begins working the way PM would, but in minutes instead of weeks. It pulls from your research, analytics, and roadmap, drafts a plan, generates wireframes and pushes them into figma, runs synthetic users through the flows to find friction, and hands back user stories with acceptance criteria.

Live today: granola and linear. Coming soon: figma, posthog, slack (where you can talk to dodger with your team), and 24/7 product monitoring. Once a pipeline runs, you get a .md file to use with claude code or whatever, and we have an MCP server that you can use to give everything you generated to your agent.

We're quite early and there's a lot on the roadmap, but I want to know what you think.

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Ship It
slewisbennett
104mo ago