// idea #84 · Professional

Technical Due Diligence Report Agent

Agent analyzes startup codebases and infrastructure for investor technical due diligence.

🔧 High Effort Professional 💰 $2K–$10K per report 🤖 70% autonomous ⏱ 4–6 weeks to launch
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Revenue potential
$2K–$10K per report
Time to launch
4–6 weeks
Agent autonomy
70%

* Revenue figures are market-based estimates only and are not guarantees of income. Actual results will vary based on execution, market conditions, and individual effort. This is not financial or investment advice.

How the agent runs it

VC firm or acquirer provides GitHub access. Agent analyzes code quality, dependency risks, security vulnerabilities, infrastructure maturity, and scalability constraints. Produces investor-grade report.

Who this is for

This business suits software engineers or CTO-level professionals with 5+ years of experience in code review, DevOps, or security auditing who want to monetize their technical expertise without building products. It's ideal for consultants already advising startups or agencies doing technical assessments—you're simply automating and scaling what you already know how to do. If you understand cloud infrastructure, dependency management, and security vulnerabilities deeply, you can command $2K–$10K per engagement while working with high-value clients.

Market opportunity

M&A activity in tech remains robust, with venture-backed exits and acquisitions accelerating post-2023. VCs and acquirers increasingly demand technical due diligence before committing capital, but few have in-house bandwidth for deep codebase analysis—creating urgent demand. The global code review and security analysis market is valued at $1.2B+ and growing 12% annually as regulatory pressure (SOC 2, data privacy) intensifies.

Tech stack

Claude APIGitHub APIAWS/GCP APIsTerraform analysisPython

Monetization

$2K–10K per report. Partner with M&A advisors and VC firms.

Key risks

  • Access to startup systems requires NDAs
  • Technical findings need expert validation before investment decisions

Getting started

  1. 1
    Build a minimal report template for analysis
    Create a structured framework covering code quality metrics, dependency risk, security findings, infrastructure maturity, and scalability constraints. This becomes your repeatable deliverable and ensures consistency across clients, making it easier to refine and upsell.
  2. 2
    Set up Claude and GitHub API integration
    Write Python scripts that connect to the Claude API for codebase analysis and GitHub API to pull repo data, commits, and dependency files. Test on 2–3 open-source projects first to validate output quality and refine your prompts.
  3. 3
    Identify and pitch target VC and M&A networks
    Research mid-market VCs, growth equity firms, and boutique M&A advisors in your region or network. Cold-email 20–30 partners offering a discounted pilot report ($1.5K) to establish credibility and gather testimonials.
  4. 4
    Develop expertise in three infrastructure stacks
    Specialize in analyzing common startup setups (e.g., AWS/Node.js, GCP/Python, Kubernetes). Deep knowledge here lets you spot red flags faster and produce insights competitors miss, justifying higher pricing.
  5. 5
    Build a case study and pricing anchor
    Complete your first paid report and document the findings, recommendations, and client impact in a 1–2 page case study. Use this to anchor your $2K base price and show investors what a high-quality analysis looks like.

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