Documentation Index

Fetch the complete documentation index at: https://docs.early-bird.space/llms.txt

Use this file to discover all available pages before exploring further.

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What Data Is Available

Early Bird currently exposes five useful data collections for analysis.

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Projects

Projects are the main registry rows. A project usually represents a startup, company, or team surfaced through a program. Representative fields:

• projectName
• oneLiner
• description
• marketTags
• domainTags
• technologyTags
• program
• organization
• awardDate
• sourceUrl
• classificationStatus

Best questions:

• Which startup themes show up most often in accelerator-backed programs?
• Find AI, climate, biotech, or developer-tool startups by year or organization.
• Compare category mix across different organizations or program types.

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Programs

Programs are cohort-level or program-level entities such as accelerator batches, fellowship rounds, grant rounds, and startup competitions. Representative fields:

• title
• organization
• category
• awardDate
• sourceUrls
• projectCount
• visibilityStatus

Best questions:

• Which programs produce the most projects?
• Which organizations run the highest-density programs?
• Compare program categories across locations or institutions.

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Organizations

Organizations are the canonical parents of programs and projects. Representative fields:

• canonicalTitle
• category
• location
• sourceType
• officialSourceUrls
• defaultProgramCategory

Best questions:

• Which organizations are university-backed versus independent?
• Which regions have the strongest organization coverage?
• Which organizations contribute the highest project volume?

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Dashboard Summary

Dashboard summary is a cached aggregate surface optimized for cheap analytical questions. Representative fields:

• totalProjects
• totalPrograms
• totalOrganizations
• projectsOverTime
• programCategoryBreakdown
• topOrganizations
• topPrograms

Best questions:

• What are the top trends over time?
• Which organizations or program types dominate the dataset?
• How does the overall category mix change across timeframes?

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Calendar Windows

Calendar data covers program events and application windows. Representative fields:

• program
• organization
• status
• startDate
• endDate
• applicationUrl
• confidence

Best questions:

• Which programs are open for applications right now?
• What deadlines are coming up next?
• Which organizations have the strongest pipeline of active or upcoming opportunities?