Vector
Vector is an AI-powered product management tool that transforms natural language meeting transcripts into structured product requirements and work items while integrating with development tools like Jira and GitHub.
https://pm.heizen.work/?ref=producthunt
Product Information
Updated:Oct 9, 2025
What is Vector
Vector is a product management assistant developed by Heizen (formerly OpenGig) that aims to streamline the software development process by automating the conversion of ideas and discussions into actionable product documentation. It serves as an AI product manager that helps teams capture requirements clearly, maintain alignment, and accelerate product development cycles. The tool was created to address common challenges like ambiguous requirements and late security issues that often lead to rework in enterprise product teams.
Key Features of Vector
Vector is an AI-powered product management tool that transforms meeting transcripts and natural language inputs into structured product requirements documents (PRDs), acceptance criteria, and developer-ready work items. It seamlessly integrates with common development tools like Jira and GitHub, while incorporating policy awareness and security considerations into the development workflow.
Meeting Transcript Processing: Automatically converts natural language discussions from meetings into structured documentation and actionable items
Development Tool Integration: Seamlessly connects with Jira, GitHub, and PR review bots for streamlined workflow management
Policy-Aware Requirements: Incorporates security and compliance considerations directly into generated requirements and acceptance criteria
Real-time Summary Generation: Creates instant summaries of discussions to keep team members aligned and informed
Use Cases of Vector
Product Development Teams: Streamlines the process of converting product discussions into actionable development tasks and documentation
Enterprise Software Projects: Helps maintain compliance and security standards while accelerating development cycles
Agile Sprint Planning: Facilitates faster and more accurate sprint planning by automatically generating structured work items from meetings
Cross-functional Team Coordination: Ensures all team members stay aligned through automated documentation and clear action plans
Pros
Reduces time spent on manual documentation and requirement writing
Improves team alignment and reduces miscommunication
Prevents rework caused by ambiguous requirements
Cons
May require initial adjustment period for teams to adapt to the automated workflow
Dependency on integration with existing tools and systems
How to Use Vector
Install Vector: Install Vector using pip command: pip install vector. Alternatively, you can install it via conda.
Create Configuration File: Create a vector.yaml configuration file that defines your sources, transforms and sinks. Start with basic components like stdin source and console sink.
Configure Data Sources: Add source components to specify where Vector should receive data from (e.g. demo_logs, stdin, etc). Each source needs a unique ID and type.
Set Up Transformations: Add transform components to process and modify your data. Use the remap transform type to parse, merge, convert or modify fields as needed.
Configure Output Sinks: Define sink components to specify where Vector should send the processed data (e.g. console, files, external services). Configure encoding and other sink-specific options.
Integrate with Tools: Connect Vector to your development tools like Jira, GitHub, or Azure DevOps to export work items and validate PRs. Vector integrates seamlessly with common development workflows.
Run Vector: Start Vector using your configuration file. Monitor the output to ensure data is flowing through your pipeline as expected.
Validate and Test: Test your Vector setup by sending sample data through the pipeline. Verify that transformations and routing work correctly.
Vector FAQs
Vector is an AI Product Manager tool that transforms natural-language ideas from meeting transcripts into structured PRDs (Product Requirements Documents), policy-aware acceptance criteria, and developer-ready work items. It integrates seamlessly with tools like Jira, GitHub, and PR review bots.
Vector Video
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