Architect of the Post-Labor Institutional Agency
15,635 manual analyst hours replaced in 28 days. 122,000+ institutional investors across VC, PE, Growth Equity, Infrastructure, Hedge, Credit, and Real Estate — tracked, matched, and injected into client CRMs autonomously. $7-10M+ anchor checks for fund managers raising $50M+.
I replaced a $1.5M annual labor cost with 13 autonomous GCP data trains. 65 analyst-equivalent throughput. $200/mo cloud bill. The $1.5M doesn't exist on my P&L—because I codified it into a machine.
$61.75M+
Raised under direct advisory (Fund I-III)
15,635h
Manual research replaced in 28 days
122K
Active institutional subscribers
$200/mo
Cloud bill for 65-person equivalent output
The Dual Threat
Most execs know capital or code. I deploy both. That's not a pitch — it's a structural advantage you can't hire for twice.
B2B tech companies spend millions trying to crack the LP market. Their sales teams sound like outsiders because they are. I own the largest investor relations audience globally — 121,500+ fund managers, allocators, and LPs who already trust the brand.
This isn't a marketing channel. It's a pre-built, proprietary pipeline of institutional capital and buyers that plugs directly into your P&L.
I built 13 autonomous data trains on GCP Cloud Run that produce the output of a 65-analyst research floor — for a $200/month cloud bill. The engine monitors global LP activity across VC, PE, Growth Equity, Infrastructure, Hedge, Credit, and Real Estate with a focus on $7-10M+ anchor commitments. LP signals flow from BigQuery to client HubSpot CRMs via programmatic upsert cron jobs — zero manual data entry.
103,000+ rows written to BigQuery in 28 days. 15,635 manual analyst hours replaced. The entire platform was built in under a month by one engineer.
How I Engage
I'm looking for one of these roles. The right fit depends on what problem keeps your CEO up at 2am.
For PE/VC firms that need a portfolio-level operator who can walk into a company, diagnose the revenue leak, and fix the plumbing — not just advise on it.
For FinTech or data companies trying to sell into institutional capital. Your sales team sounds like outsiders because they are. I bring the audience, the credibility, and decades of closing.
For companies building AI/data products for private markets. I've shipped a SaaS app that threatens Pitchbook, Preqin, and Dakota — at $99/month. I know what fund managers actually pay for. Most product teams don't.
The Engine
I build automated data trains that extract proprietary signals from SEC filings, board minutes, and LP commitment data. Here's what runs under the hood.
// The "Post-Labor" Math: $1.5M labor cost → $200/mo cloud bill
// 13 autonomous trains, 1 engineer, 15,635 hours replaced in 28 days
$ bq query 'SELECT COUNT(*) FROM sourcing_agent.*'
[OK] 103,492 rows written since Feb 1, 2026
[OK] 78,562 LP contacts | 12,629 signals | 9,550 recommendations
[OK] 15,635 manual hours replaced (65 FTE equivalent)
$ gcloud scheduler jobs list --filter="state=ENABLED"
[OK] 13 Cloud Scheduler jobs active | $1.5M labor cost displaced in 28 days
[OK] SEC Form D, 13F, Board Minutes, Shadow Wealth, Liquidity Events
[OK] Autonomous HubSpot injection: Sunday 9PM ET (cr-weekly-crm-sync)
$ curl app.lpblueprint.com/api/admin/deadman-switch
[OK] status: ALL_GREEN | trains_checked: 10 | stale: 0
[OK] Last heartbeat: <8h ago (all trains healthy)
[OK] Uptime: 99.7% across all data pipelines
$
78K+
Verified LP contacts in the platform
103K
BQ rows written in 28 days
$200/mo
Cloud bill for 65-FTE output
Background
Deep B2B sales background. Built and sold a social media consultancy. #1 Amazon bestselling author. Promoted 100+ punk shows. Grew up in the DIY scene and never left.
I built LP Blueprint from a failed VC fundraise into the largest investor relations publication globally — 121,500+ subscribers, 9M+ annual page views, engagement rates that consistently outperform tier-one financial media.
Then I built the SaaS platform to match. Real-time LP check tracking. Verified contacts. Proprietary data pipelines. The whole thing runs on infrastructure I deployed myself.
I didn't learn this in a boardroom. I learned it the hard way — and then I watched 147+ fund managers learn it the same way, one painful quarter at a time.
If you need someone who can close a $50M allocation and debug your API webhook in the same week — I'm that person.