Case study
Live prototype
ValueDriver OS.
A greenfield operating system for PE value-creation teams — seeded with Red Iron Group's portfolio, built solo in days with Claude Code.
- Build team
- Solo
- Concept to live
- Days
- Portfolio co's seeded
- 6
- Primary surfaces
- 12
Context
Red Iron Group's thesis embeds operators — Builders — inside portfolio companies to drive value creation across technology, revenue, acquisitions, and operations. In practice that means a small team runs concurrent engagements across ~6 portfolio companies and tries to spot patterns across all of them.
The tooling for that job is off-the-shelf at best — general-purpose PM tools, spreadsheets, Notion pages. Nothing is shaped to the specific workflows of a PE operating team: cross-portfolio pattern recognition, value-creation roadmaps, executive cadence, a steady pipeline of ideas, clean handoffs between the fund and the company.
I wanted to answer a simple question: what would a purpose-built operating system for this team actually look like?
The premise
Before writing code I studied Red Iron's actual portfolio. ValueDriver OS is seeded with real company names, real sector shapes, and the four-pillar value-creation frame the fund operates inside. This isn't a generic PE product — it is a full-fidelity sketch of what a dedicated Red Iron operating platform could be.
The design premise: every surface is Claude-native. A Portfolio Assistant orchestrates an AI layer that does real operator work — finding opportunities, drafting requirements, generating reports, ingesting context from calls and emails. Learn Mode and guided walkthroughs sit alongside for onboarding. AI isn't a sidebar — it's the layer doing the work.
What I built
Twelve primary surfaces, solo, in days — built with Claude Code as the primary tool and deployed on Cloudflare Workers.
- Portfolio Dashboard. Combined ARR, projected EBITDA lift, hold period, reporting status across all portcos.
- Portfolio Companies. Per-company deep views — seeded with Red Iron's actual portfolio (Charter Impact, Graphite Financial, Finance Operations as a Service, Charter School Management, and more).
- Cross-Portfolio Patterns. The pattern-recognition surface that defines strong operating teams — learn once, apply across the fund.
- Deal Pipeline & Projects. Inbound diligence tracking and active value-creation workstreams alongside each portco.
- Playbooks & Benchmarks. Reusable value-creation methods plus portfolio company performance against market benchmarks.
- Operators, Knowledge Base, Academy, Integrations. Team roster and workload, shared reference material, onboarding curriculum, and the connective tissue to external systems.
Cutting across every surface: an AI layer that does real operator work — Open Discovery surfaces the highest-ROI opportunities, Cross-Portfolio Patterns finds reusable wins across portcos, Thesis Health tracks every pillar against live data, and Report Generator turns hours of prep into minutes. A persistent Portfolio Assistant ties it all together.
The AI layer in detail
Each feature targets a specific operator task. Each earns its place.
AI feature
What it does
The edge
Portfolio Assistant
What it does
Conversational interface grounded in the full portfolio context — every portco, project, metric, and pattern alert accessible in one chat
The edge
Compound questions answered in seconds without a query or a reporting sprint
Open Discovery
What it does
Scans a portco's metrics, thesis health, and operational context to surface ranked value-creation opportunities
The edge
Operators walk into every CEO conversation already knowing the highest-ROI next move
Cross-Portfolio Patterns
What it does
Detects shared opportunities and risks across the fund — flags when the same automation or playbook applies to 2+ portcos
The edge
One operator's solution becomes reusable across the portfolio — wins compound at fund scale
Report Generator
What it does
Produces portco-specific reports on demand — current metrics, thesis health, project status, and recommended actions
The edge
Weekly operating updates and board prep collapse from hours to minutes
Thesis Health
What it does
Continuously assesses each investment-thesis pillar against live data and classifies as On Track / At Risk / Off Track
The edge
Early warning before any pillar drifts off thesis — no surprises in the LP conversation
In the app
Click any screenshot to expand. Use ← → to navigate, Esc to close.
Portfolio Dashboard — combined ARR, value created YTD, projected EBITDA lift, and active projects across all portcos at a glance.
Per-company deep view — seeded with Red Iron's actual portfolio. Investment thesis, organizational pillars, key contacts, and the full operating picture on one surface.
A Claude-powered assistant lives persistently in the UI — ad-hoc analysis across the whole portfolio without leaving the page.
Toggle Learn Mode and hover any element — the model explains what you're looking at and why it matters to the operator.
What this demonstrates
ValueDriver OS is not a product I'm shipping to market. It's a proof — that I can research a specific fund's model, synthesize a dedicated product for their operating team, and ship a polished working prototype in days, solo, with AI as the build partner.
For a PE operating role, that is the loop in miniature — map a company, identify the leverage, ship the thing, show the CEO. The prototype exists so the same muscles I'd use inside a portfolio company are visible up front.