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

# Resources

> Curated tools, guides, research, and references for building VC infrastructure

A curated collection of resources for engineers, data people, and technical operators building technology at venture capital funds.

***

## Online

<CardGroup cols={2}>
  <Card title="Data Driven VC" icon="chart-line" href="https://datadrivenvc.io/">
    Community and resources for data-driven venture capital practitioners. Newsletters, events, and
    insights on applying data science to VC.
  </Card>

  <Card title="VC Stack" icon="wrench" href="https://www.vcstack.io/">
    Large directory of tools for venture capital and angel investors.
  </Card>
</CardGroup>

***

## Newsletters

Stay updated with insights on data-driven VC, infrastructure building, and technology in venture capital.

<CardGroup cols={2}>
  <Card title="Data Driven VC" icon="envelope" href="https://substack.com/@datadrivenvc">
    Weekly newsletter at the intersection of venture capital and data. 35,000+ subscribers from
    firms like a16z, Accel, Index, and Sequoia. By Andre Retterath (Earlybird VC).
  </Card>

  <Card title="Inflection - svrgn" icon="envelope" href="https://svrgn.substack.com/">
    On engineering moonshots and deep technology. Occasional posts by me about Inflection's tooling
    and infrastructure.
  </Card>

  <Card title="AVC" icon="envelope" href="https://paragraph.com/avc.eth">
    Fred Wilson's perspectives on venture capital and technology. Occasional posts about tech's role
    in the VC industry.
  </Card>

  <Card title="Level Ventures" icon="envelope" href="https://levelvc.substack.com/">
    Data-driven perspectives on venture capital from an LP point of view.
  </Card>
</CardGroup>

***

## Books

Essential reading for understanding venture capital from both operational and technical perspectives.

| Title                                                                       | Author(s)                   | Why Read It                                                                                                    |
| --------------------------------------------------------------------------- | --------------------------- | -------------------------------------------------------------------------------------------------------------- |
| **[The Business of Venture Capital](https://www.amazon.com/dp/1119639689)** | Mahendra Ramsinghani        | Comprehensive overview of fund structures, legal frameworks, and the LP-GP relationship                        |
| **[Venture Deals](https://www.amazon.com/dp/1119594820)**                   | Brad Feld & Jason Mendelson | Essential reading on how VC deals work: term sheets, negotiations, and deal mechanics                          |
| **[Secrets of Sand Hill Road](https://www.amazon.com/dp/0753553961)**       | Scott Kupor                 | Inside look at how VC firms operate from a16z's COO                                                            |
| **[The First 90 Days](https://www.amazon.com/dp/1422188612)**               | Michael D. Watkins          | Critical strategies for successfully transitioning into a new role, especially valuable when joining a VC fund |

***

## Research Papers

Academic research on applying machine learning and data science to venture capital.

<AccordionGroup>
  <Accordion title="Machine Learning for VC">
    **Investment Sourcing & Prediction**

    * [Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems](https://arxiv.org/abs/2309.16888) — Transformer-based time series classification for predicting successful VC and Growth Capital investments by analyzing financial patterns. From EQT's Motherbrain team.

    **Company Classification & Similarity**

    * [CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification](https://arxiv.org/abs/2306.10649) — Knowledge graph with 1.17M companies and 51M weighted edges representing business relationships. First large-scale dataset from a real investment platform for measuring company similarity. Featured in this book's [Knowledge Graphs](/guide/part-3-technical-foundations/knowledge-graphs) chapter.

    * [Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation](https://arxiv.org/abs/2309.12075) — Efficient fine-tuning method (PTEC) for multi-label company classification using LLMs. Addresses limitations of text-to-text approaches in generating valid labels with confidence scores.

    * [A Scalable and Adaptive System to Infer the Industry Sectors of Companies](https://arxiv.org/abs/2306.03313) — Production system for automatically classifying companies into industry sectors using prompt + model tuning of generative language models. Deployed for PE professionals at scale.

    **Literature Reviews**

    * [Using Deep Learning to Find the Next Unicorn: A Practical Synthesis](https://arxiv.org/abs/2210.14195) — Comprehensive literature review synthesizing deep learning methodologies for startup evaluation across the entire ML lifecycle. First comprehensive synthesis of DL approaches for VC investment decisions.
  </Accordion>
</AccordionGroup>

<Note>
  More papers coming soon. If you have suggestions, please [open an
  issue](https://github.com/alexpatow/building-for-vc/issues).
</Note>

***

## Open Source Projects

Tools and projects from the VC tech community.

<CardGroup cols={2}>
  <Card title="attio-mcp" icon="plug" href="https://github.com/redriverwest/attio-mcp">
    MCP server for Attio CRM integration
  </Card>

  <Card title="ddvc-hackathon" icon="code" href="https://github.com/redriverwest/ddvc-hackathon">
    Projects from the [Data Driven VC hackathon](https://luma.com/v6gmtjf0)
  </Card>
</CardGroup>

***

## Conferences & Events

<CardGroup cols={2}>
  <Card title="DDVC Summit 2026" icon="calendar" href="https://datadrivenvc.io/events/virtual-ddvc-summit-2026">
    Virtual summit for data-driven VC practitioners
  </Card>

  <Card title="VC Day by Vestberry" icon="calendar" href="https://vcday.vestberry.com/">
    Conference focused on VC technology
  </Card>
</CardGroup>

***

## Hiring

Building a VC tech team? Looking for your next role?

<Info>
  If you're hiring in this space, reach out to [Alex](https://www.linkedin.com/in/alexpatow/). Happy
  to add opportunities here.
</Info>

***

## Contribute

Have a resource to add? [Open an issue](https://github.com/alexpatow/building-for-vc/issues) or [submit a PR](https://github.com/alexpatow/building-for-vc/pulls).