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Generate Investment Memo for Portfolio Company

Create investment opportunity briefs that match Hypernova's analytical voice, format, and depth using AI-assisted generation with structured inputs and validation.

Path
reminders/Generate-Investment-Memo-for-Portfolio-Company.md
Authors
Michael Staton, Tugce Ergul
Augmented with
Claude Code (Sonnet 4.5)
Tags
Workflow · Investment-Analysis · Content-Generation · Venture-Capital · AI-Assisted-Writing

Goal

Generate investment opportunity briefs for [[moc/Hypernova|Hypernova]] portfolio companies that maintain the firm’s distinctive analytical voice, structural consistency, and investment rigor.

Context

Hypernova’s investment memos follow a specific format developed through deals like [[client-content/Hypernova/Portfolio/Aalo Atomics|Aalo Atomics]] (Series B, nuclear microreactors) and [[client-content/Hypernova/Portfolio/Star Catcher|Star Catcher]] (Pre-Series A, space power infrastructure). The memos balance:

  • Enthusiasm for frontier technology and macro tailwinds
  • Skepticism about execution risks and market uncertainties
  • Specificity over generalization (exact metrics, named investors, dated milestones)

Required Inputs

Before prompting the AI model, gather the following information:

Company Fundamentals

  • Company name, stage, headquarters location
  • Founding team backgrounds (prior companies, exits, relevant experience)
  • Origin story (lab spinout, second-time founders, strategic pivot)
  • Current status (prototype, pilot, commercial, etc.)

Market Intelligence

  • Total Addressable Market (TAM) with sources
  • Market growth drivers (technological, regulatory, economic)
  • Current market size and projected growth (with timeframes)
  • Target customer segments and use cases
  • Competitive landscape and alternative approaches

Technology & Product

  • Core technology description (what it does, how it works)
  • Key differentiators vs. alternatives
  • Development stage (prototype, validated, production-ready)
  • Technical risk factors and mitigation strategies
  • IP position (patents filed/granted, FTO analysis)

Traction Metrics

  • Revenue (ARR, bookings, pilots)
  • Letters of Intent (LOIs) - with caveats about non-binding nature
  • Customer pipeline (named if possible, anonymized if sensitive)
  • Technical milestones achieved
  • Regulatory progress (if applicable)
  • Partnership announcements

Team Assessment

  • CEO/Co-Founders: prior exits, relevant domain expertise
  • Key executives: previous companies, specialized skills
  • Board composition and advisor network
  • Team gaps and hiring roadmap

Deal Specifics

  • Round type (Seed, Series A, Series B, etc.)
  • Round size and pre-money valuation
  • Lead investor(s) and key participants
  • Hypernova allocation target
  • Use of proceeds (specific, prioritized)
  • Deal timeline and closing date

Risk Analysis

  • Technology risks (validation, scale-up, dependencies)
  • Market risks (adoption cycles, competitive response)
  • Regulatory risks (licensing, permitting, export controls)
  • Execution risks (capital intensity, team gaps)
  • For each risk: concrete mitigation strategies

Strategic Context

  • Alignment with Hypernova thesis
  • Exit scenarios (strategic acquirers, public markets, timeframe)
  • Key value inflection points (licensing, pilots, partnerships)

Structural Template

Generate the memo using this exact section structure:

Header Block

[Stage] Opportunity Brief
Date: [Month Day, Year]
by Michael Staton & Tugce Ergul

[Company Name] Investment Memo

1. Executive Summary

  • Opening statement: One-sentence value proposition
  • Stage & Status: Current funding round and traction
  • Focus: Core technology/market category
  • HQ: Location
  • Use of Proceeds: Specific allocations

2. Business Overview

  • Company mission and approach
  • Target market(s) - prioritized
  • Key differentiators (3-5 bullet points)
  • Business model (hardware sales, SaaS, licensing, service contracts)
  • Early commercial traction

3. Market Context & Macro Drivers

  • Market size metrics (current and projected, with sources)
  • Growth drivers (3-5 bullets, each with specific evidence)
  • Regulatory/policy tailwinds (if applicable)
  • Target customer economics and pain points

4. Technology & Product

  • Product description (features, capabilities, form factor)
  • Technical architecture (high-level, non-jargon)
  • Development lineage (lab origins, key innovations)
  • Current status (prototype, pilot, production)
  • Competitive advantages

5. Traction & Investors

  • Previous funding rounds (amounts, leads, dates)
  • Select investor highlights (with portfolio examples)
  • Commercial traction (LOIs, pilots, revenue)
  • Notable partnerships or validations

6. Team

  • CEO & Co-Founders (backgrounds, prior exits)
  • Key executives (C-suite, VP-level with relevant expertise)
  • Board and advisors (if notable)
  • Team narrative: Why this team can execute

7. Deal Terms

  • Round type and status
  • Lead investor(s)
  • Strategic investors
  • Use of funds (prioritized bullets)

8. Risks

Numbered list (typically 4-6 risks), each with:

  1. Risk category: Specific concern
    • Mitigation: Concrete mitigation strategy

9. Strategic Fit & Exit Scenarios

  • Alignment with Hypernova thesis
  • Potential strategic acquirers (with rationale)
  • Public market pathway and timeline
  • Key value drivers to monitor

10. Conclusion

  • 2-3 sentence summary of investment case
  • Emphasis on convergence of technology, timing, and team
  • Forward-looking statement on company’s positioning

Style Guide

Voice & Tone

  • Analytical, not promotional: Present evidence, acknowledge uncertainties
  • Balanced: Highlight strengths AND risks with equal rigor
  • Specific: Use exact numbers, named entities, dates
  • Confident but measured: Avoid superlatives (“revolutionary,” “game-changing”)

Formatting Preferences

  • Bullets over paragraphs: Maximize scannability
  • High information density: Every sentence should add new information
  • Acronyms: Spell out on first use, then abbreviate consistently
  • Sources cited: Especially for market sizing (“WEF/McKinsey project…”)
  • Dates included: For all milestones, projections, and commitments

Good vs. Bad Examples

Market Sizing

Good: “The addressable market for distributed industrial power solutions is projected to exceed $250 Billion by 2030, with SMRs capturing an estimated $50 Billion segment as data-center operators and heavy-industry customers seek off-grid solutions. [^1]”

Bad: “The market opportunity is enormous and growing rapidly.”

Risk Assessment

Good: “LOI conversion risk: $14B in signed LOIs are non-binding.

  • Mitigation: Stage-gated contracts and pilot-to-production paths.”

Bad: “There are some risks around customer adoption, but the team is experienced.”

Team Description

Good: “CTO: Former Head of MARVEL Program at Idaho National Lab; previously led Westinghouse eVinci microreactor.”

Bad: “The CTO has extensive experience in nuclear technology.”

Traction Metrics

Good: “Aalo’s Series A round was led by Valor Equity Partners ($30M), alongside Hitachi Ventures, Nucleation Capital, and Fifty Years VC.”

Bad: “The company has raised significant funding from top-tier investors.”

Prompt Template for AI Model

Use this structure when prompting:

You are an investment analyst at Hypernova, a venture capital firm focused on frontier technology that enables the next industrial infrastructure cycle. You are writing an opportunity brief for [Company Name]'s [Stage] round.

CONTEXT DOCUMENTS:
1. Review the attached reference memos (Aalo Atomics, Star Catcher) for structural template and voice
2. Match the analytical tone: balanced, specific, investor-focused (not promotional)
3. Follow the exact section structure provided in the template

RAW COMPANY DATA:
[Paste organized inputs from the Required Inputs checklist]

TASK:
Generate a complete investment memo following the structural template and style guide.

SPECIFIC EMPHASIS FOR THIS DEAL:
[Customize based on deal-specific priorities, e.g.:]
- Regulatory pathway is critical - deep dive on NRC licensing timeline
- Technical validation risk - need detailed mitigation in Risks section
- Market timing is key driver - emphasize macro tailwinds in Market Context

CONSTRAINTS:
- Include 4-6 specific risks, each with concrete mitigations
- All market sizing must include sources or caveats
- Maintain analytical balance (acknowledge execution challenges)
- Use bullet format for scannability (minimize paragraph blocks)
- Match information density of reference memos
- Acronyms spelled out on first use

OUTPUT REQUIREMENTS:
- Complete memo following all 10 sections
- 4-6 page target length (equivalent to reference memos)
- Ready for review by Michael Staton & Tugce Ergul

Iterative Refinement Workflow

After initial generation, refine with targeted prompts:

Pass 1: Structural Completeness

“Review the memo against the template. Are all required sections present? Flag any missing elements.”

Pass 2: Specificity Audit

“Review the memo for vague claims. Replace generalities with specific metrics, dates, and named entities. Flag any unsupported market sizing claims.”

Pass 3: Risk Rigor

“Strengthen the Risks section. Ensure each risk has a concrete mitigation strategy. Add any missing risk categories (technical, market, regulatory, execution, competitive).”

Pass 4: Voice Consistency

“Compare tone and density to the reference memos. Adjust any sections that are too promotional or too sparse. Match the analytical, balanced voice.”

Pass 5: Source Validation

“Identify all market claims, growth projections, and competitive assertions. Add source citations or flag for manual verification.”

Validation Checklist

Before finalizing the memo, verify:

  • Follows exact 10-section structure
  • Includes specific metrics throughout (not vague “strong growth”) along with citations.
  • Risk section has 4-6 items, each with mitigation
  • All acronyms spelled out on first use
  • Market sizing includes sources or caveats along with citations.
  • Team section includes prior companies/exits, including citations and or links.
  • Deal terms section is complete and accurate, if Deal terms provided.
  • Deal terms section follows template, if Deal terms not provided.
  • Maintains analytical tone (not promotional)
  • Information density matches reference memos
  • Clear investment recommendation in Conclusion
  • No unsupported superlatives or generalizations
  • Dates included for milestones and projections

Edge Cases & Special Scenarios

Earlier Stage (Seed/Pre-Seed)

  • Emphasize team backgrounds and technical validation over traction
  • Market sizing can be broader, but acknowledge uncertainty
  • Risks section should include “market validation” as primary concern

Later Stage (Series B+)

  • Require revenue metrics and customer names (if not confidential)
  • Deeper competitive analysis
  • More detailed unit economics
  • Clearer path to profitability or exit

Deep Tech / Regulated Markets

  • Add dedicated “Regulatory Pathway” subsection under Technology & Product
  • Expand risk mitigation on technical validation and approval timelines
  • Include government partnerships or non-dilutive funding (SBIR, grants)

International Companies

  • Note regulatory environment differences (EU vs. US)
  • Address currency and cross-border considerations
  • Identify strategic rationale for Hypernova geography

Related Files

Reference Memos

  • /Users/mpstaton/content-md/lossless/client-content/Hypernova/Files/Investment_Memo_Aalo_Atomics_SeriesB.pdf
  • /Users/mpstaton/content-md/lossless/client-content/Hypernova/Files/Starcatcher Investment Memo.pdf

Potential Supporting Documents (to be created if needed)

  • Master-Investment-Memo-Template.md - Fillable template with field descriptions
  • Hypernova-Voice-and-Style-Guide.md - Expanded good/bad examples
  • Investment-Memo-Input-Checklist.md - Data gathering worksheet
  • Validation-Criteria.md - Quality review rubric

Usage Notes

  • Garbage in, garbage out: The quality of the generated memo depends entirely on the quality and completeness of the input data. Do not skip the Required Inputs checklist.
  • AI as draft, not final: Always expect to iterate 3-5 times to match Hypernova voice and rigor.
  • Human judgment required: AI cannot assess deal quality, only format the analysis. Investment thesis, risk assessment, and recommendation require human expertise.
  • Update reference library: As new high-quality memos are written, add them to the reference set to improve AI training.
  • Maintain consistency: Use the same structural template across all deals to enable comparative analysis.

Outcome: Investment memos that maintain Hypernova’s analytical rigor, structural consistency, and distinctive voice while accelerating first-draft generation and ensuring comprehensive coverage of required analysis areas.