
Most founders think it's timing or traction.
It's usually the architecture, the team structure, or the pitch.
5 exits. 20 years at scale. $1.2B acquisition.
Let me show you what VCs see that you don't.
15 minutes. Walk away with a clear action plan and an honest read on what's actually blocking your growth.
Book a strategy call→6 founders. 6 weeks. Validate your idea, ship an MVP, and get funding-ready. Most participants apply to YC or a16z within 90 days.
$ apply --now→The four patterns that keep showing up — regardless of stack, stage, or funding round.
You chose fast-to-market over scalable. Now you're rewriting core systems during fundraising.
Everyone says 'add AI.' No one explains which problems AI actually solves at your scale.
You're still writing code. Your team needs strategy. Investors want a leader.
Series A closes. You need 10 engineers. You've never hired at scale before.
Real outcomes. Real companies. Real numbers.
Re-architected push notification delivery for 1B+ events/sec. Cut p95 latency from 10 seconds to 80ms. Shipped before acquisition closed.
COVID surge hit. Global infrastructure had to scale 200% overnight with zero downtime. Done in 8 weeks as SRE lead.
Built from scratch, shipped to customers, raised institutional backing. Most founders learn one side of the table. Glo has lived both.
Microsoft. IPO. Amazon. OpenFit. Lyric. Five different outcomes, two decades. Acquisition, public market, strategic — all from the inside.
Who she helped and what changed.
Building a vet AI diagnostic platform, exploring B2C. Needed business model clarity and a YC application path. Advised on premium subscription structure, Latin America as test market, and UC Davis vet student pipeline.
Outcome: Clear YC path. MVP development timeline delivered.
Had $200k ARR but VCs wanted sharper differentiation. Repositioned from "AI assistant that works" to "AI copilot for salespeople." Restructured the competitive story around coaching vs monitoring.
Outcome: Deck rebuilt. Warm VC intros secured post-memo refinement.
Strong team, $100K ACV verbal LOIs. Needed pitch sharpening for a16z Speedrun — 20,000 applicants, 60 selected. Applied 3-2-1 framework across multiple sessions with all three founders.
Outcome: Selected for a16z Speedrun video interview round.
Talks, essays, frameworks, and guides — open to anyone who wants to learn from someone who's been there.
Handouts from QCon SF 2024. 30-60-90 plans, co-founder frameworks, customer validation templates, due diligence checklists.
Datadog Dash, QConSF, RailsConf, Conf42. Real war stories from production systems at billion-event scale.
AI infrastructure, distributed systems, and what actually matters at Seed→Series A. No fluff, no vibes.
Discovery call. We discuss your current state, pain points, and whether advisory makes sense. Straight talk, no pitch.
If we're a fit: co-design scope, outcomes, timeline, budget.
Typical: 3–6 months, $15k–30k/month
Weekly check-ins. Async Slack. Frameworks delivered. Code reviews as needed. Decisions that compound for 18–24 months.