LP Intelligence for $50M+ Fund Managers
Board-verified LP intelligence for $50M+ fund managers. Sourced from public pension board minutes, endowment disclosures, and SEC filings — published within 72 hours of the vote.
What Preqin does in 3–9 months, we do in 72 hours.
$64M
Raised under direct advisory, last 12 months
147+
Funds advised
121.5K
Active LP audience
27%
Open rate (vs. 18% industry)
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.
Every company has an "AI Strategy Consultant" who makes decks but can't write code. I open the Vercel logs and write the SQL queries myself. I deploy GCP, Vertex AI, and BigQuery infrastructure without asking for a 5-person engineering team.
The gap between the boardroom's vision and the actual codebase? I am that bridge. No vaporware. No committees. Ship it.
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 platform that undercuts Preqin, PitchBook, and Dakota on price and beats them on data freshness. I know what fund managers actually pay for. Most product teams don't.
If you're raising $100M+ and need custom strategic engagement — operating agreements, weekly strategy sessions, pipeline monitoring against institutional benchmarks — that's what I do directly.
Book a conversation →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.
// Proprietary Signal Extraction Pipeline
// What gives a FinTech product or a fund an actual edge
$ node pipeline/sec-form-d-scraper.js
[OK] 4,200+ Form D filings ingested (last 90 days)
[OK] Cross-referenced with 13F holdings data
[OK] LP commitment signals extracted → BigQuery
$ gcloud ai models predict --model=lp-intent-scoring
[OK] Vertex AI model: 147 active GP profiles scored
[OK] Intent signals: webinar attendance + form submissions
[OK] High-intent prospects flagged → CRM webhook
$ npm run verify:email-pipeline
[OK] 75,000+ LP contacts verified via MillionVerifier API
[OK] Bounce rate: <0.3%
[OK] Stripe telemetry: churn recovery sequence active
$
75K+
Verified LP contacts in the platform
<0.3%
Email bounce rate (enterprise-grade)
$199/mo
vs. $15K–50K/yr legacy data subscriptions
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, 14M annual page views, engagement rates that consistently beat tier-one financial media by 20-30%.
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.