> ## Documentation Index
> Fetch the complete documentation index at: https://buildingfor.vc/llms.txt
> Use this file to discover all available pages before exploring further.

# Quick Reference

> Find what you need quickly based on your role, experience level, or specific technical challenge.

## Reading Paths

Different readers will find different parts of this guide most valuable. Choose your path:

### New to VC Funds

If you just joined a VC fund or are new to the venture capital industry:

<Steps>
  <Step title="Start with Part 1">
    Read all four chapters sequentially to understand how VC works, analyze your specific fund,
    avoid common mistakes, and build the right data team.
  </Step>

  <Step title="Identify Your Fund Type">
    Use [Understanding Your VC Fund](/guide/part-1-understanding-vc/understanding-your-vc-fund) to
    determine your fund's stage, volume, and strategy - this shapes everything you'll build.
  </Step>

  <Step title="Plan Before Building">
    Apply lessons from [Common Mistakes](/guide/part-1-understanding-vc/common-mistakes) to avoid
    jumping in too early and building the wrong thing.
  </Step>
</Steps>

### Experienced with VC

If you're already familiar with how venture capital works:

<CardGroup cols={2}>
  <Card title="Common Mistakes" icon="triangle-exclamation" href="/guide/part-1-understanding-vc/common-mistakes">
    Skip to the seven most common technical mistakes at VC funds.
  </Card>

  <Card title="Technical Foundations" icon="gear" color="#4B5563" href="/guide/part-3-technical-foundations/choosing-your-stack">
    Jump to Part 3 for deep dives on data modeling, integrations, and architecture.
  </Card>
</CardGroup>

### Building Specific Features

Looking for guidance on a specific technical challenge?

<Accordion title="Data & Infrastructure">
  * **[Data Modeling](/guide/part-3-technical-foundations/data-modeling)** - How to structure companies vs. deals
  * **[Data Providers](/guide/part-3-technical-foundations/data-providers)** - Which vendors to use and how
  * **[Data Quality](/guide/part-3-technical-foundations/data-quality)** - Validation, trust levels, and ground truth
  * **[Data Warehousing](/guide/part-3-technical-foundations/data-warehousing)** - When you need it and how to set it up
</Accordion>

<Accordion title="Integrations & APIs">
  * **[Integrations and APIs](/guide/part-3-technical-foundations/integrations-and-apis)** - Webhooks, rate limiting, validation
  * **[Entity Resolution](/guide/part-3-technical-foundations/entity-resolution)** - Matching companies across data sources
  * **[Data Providers](/guide/part-3-technical-foundations/data-providers)** - API vs file delivery, authentication
</Accordion>

<Accordion title="Tools & Platforms">
  * **[The VC Tech Stack](/guide/part-2-tech-stack/introduction)** - Complete survey of what tools matter
  * **[CRM & Deal Flow](/guide/part-2-tech-stack/crm-and-deal-flow)** - Choosing and implementing
  * **[Research Platforms](/guide/part-2-tech-stack/research-platforms)** - Building your thesis engine
  * **[Portfolio Support](/guide/part-2-tech-stack/portfolio-support)** - Different approaches and strategies
</Accordion>

<Accordion title="Security & Compliance">
  * **[Security & Compliance](/guide/part-3-technical-foundations/security-and-compliance)** - What matters, what doesn't
  * **[Common Mistakes](/guide/part-1-understanding-vc/common-mistakes)** - Understanding confidentiality requirements (see [mistake #5](/guide/part-1-understanding-vc/common-mistakes#mistake-%235%3A-not-understanding-data-sensitivity-and-compliance))
</Accordion>

## Common Questions

<AccordionGroup>
  <Accordion title="Should I build or buy software for my fund?">
    This depends on your fund's stage, resources, and specific needs. See:

    * [Common Mistakes, #2](/guide/part-1-understanding-vc/common-mistakes#mistake-%232%3A-not-aligning-on-buy-vs-build-strategy)
    * Part 2: The VC Tech Stack for category-by-category guidance
  </Accordion>

  <Accordion title="What technology stack should I use?">
    [Choosing Your Stack](/guide/part-3-technical-foundations/choosing-your-stack) covers technology
    choices with VC-specific reasoning. The short answer: use boring, proven technology that AI coding
    tools understand well (TypeScript/Python, Next.js, Postgres).
  </Accordion>

  <Accordion title="How do I model VC data correctly?">
    [Data Modeling](/guide/part-3-technical-foundations/data-modeling) covers the critical distinction
    between companies and deals, plus all the entity types you need to track. This is one of the most
    common areas where developers go wrong.
  </Accordion>

  <Accordion title="What data providers should I use?">
    [Data Providers](/guide/part-3-technical-foundations/data-providers) covers data providers by
    category (company data, people data, signals), plus how to evaluate vendors and work with their
    APIs.
  </Accordion>

  <Accordion title="How do I handle data security and compliance?">
    [Security and Compliance](/guide/part-3-technical-foundations/security-and-compliance) covers what's actually sensitive, what audit requirements matter, and how to balance security with productivity. Also see [Common Mistakes, #5](/guide/part-1-understanding-vc/common-mistakes#mistake-%235%3A-not-understanding-data-sensitivity-and-compliance).
  </Accordion>
</AccordionGroup>