Deeper Seeker
What is the project about?
Deeper Seeker is an open-source tool inspired by OpenAI's Deep Research, designed to automate and streamline comprehensive market research, competitor analysis, and investment memo preparation.
What problem does it solve?
It simplifies and automates the often tedious and time-consuming process of conducting in-depth research. It helps users gather, analyze, and synthesize information from the web efficiently, reducing manual effort and improving the quality of research.
What are the features of the project?
- Iterative Research Workflow: Conducts research in steps, refining the process based on findings.
- Structured Output: Generates structured search queries and formats results with highlights and summaries.
- Comprehensive Reporting: Creates actionable reports with reasoning, plans, and source links.
- Customizable Queries: Handles various research tasks, from market analysis to investment memo creation.
What are the technologies used in the project?
- Python 3.8+
- Libraries:
openai: For AI-driven reasoning and planning.requests: For making API calls (specifically to Exa).colorama: For colored console output.pydantic: For data validation.
- APIs:
- Exa API: For web search functionality.
- OpenAI API: For AI reasoning and planning.
What are the benefits of the project?
- Automation: Automates the research process, saving time and effort.
- Efficiency: Streamlines information gathering and analysis.
- Comprehensiveness: Provides in-depth research capabilities.
- Actionable Insights: Generates reports that are ready for decision-making.
- Transparency: Shows the reasoning and sources behind the research.
What are the use cases of the project?
- Market Research: Analyzing market trends, sizes, and opportunities.
- Competitor Analysis: Comparing competitors, their products, and market positions.
- Investment Memo Preparation: Creating summaries for potential investments.
- General Research: Any research task requiring web-based information gathering and analysis.
