CONFIDENTIAL AND PROPRIETARY

Venture Capitalist with a track record of sourcing, leading, and scaling investments across AI, blockchain, healthcare, climate tech, deeptech—driving $40M+ in portfolio fundraising and growing AI products from $0 to $5M ARR in one month at Hyperbolic**. Now ~$10M ARR.**

Experienced in platform building, GTM strategy, and ecosystem growth at top-tier funds (Pantera, General Catalyst, Berkeley Frontier Fund) and high-growth startups, with deep technical and founder networks.

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Currently…

Fellow at General Catalyst - Growth / Operator at Hyperbolic Labs ($260M Val, Series A) Compute for AI Startups and Labs (0 —> $5M ARR in a month On-Demand GPUs)
UC Berkeley M.E.T. Program Alum

See Investments Below 👇🏻

Communities / University

EIR Ideas

Blogs

VC Funds I’ve Worked At

Pantera Capital — Ventures & Platform Intern (~$5 billion AUM)
General Catalyst — Venture Capital Fellow & Head of Community (~$36 billion AUM)
Berkeley Frontier Fund — Venture Capital Investment Fellow (~$50 million AUM)
Berkeley Blockchain Xcelerator — Managing Director (~$650 million follow-on fundraising)
Third Sphere (Urban Us) — Venture Capital Fellow Undergrad among MBAs (~$45 million AUM)
TK & Partners — Venture Capital Analyst Intern
Blackskies Investments — Principal & Vice President of Investments
Entrepreneurs at Berkeley — Project Manager, Demo Day Judge

🔑 Key Highlights

<aside> The Numbers

Total Deals Invested: 25+
Sourced over 1000 startups
Investment memos for 100+ startupsa
Follow-on Fundraising: $40M+ for Berkeley Blockchain Xcelerator
Fundraising: Blackskies Investments (Undergrad Fund)
Events Hosted (Hackathons, Founder Meetups, Demo Days etc): 30+
First deal invested before college —> Invitrocue / Welala now acquired </aside>

<aside> Investment Theses / Areas of Focus

Detailed Infra AI domains here 👈🏻

AI Infrastructure (Core Infra Adjacent): Model Serving / Inference Systems, Distributed Training Frameworks, Data Infrastructure for ML (features/embeddings), Experiment Tracking & Model Registry, Monitoring & Observability, Inference Orchestration & Autoscaling

Compute & Performance Engineering: Model Compression & Acceleration, Kernel-Level Optimization, Compiler-Based Acceleration, Scheduling & Resource Allocation, Benchmarking & Profiling

Hardware & Systems: AI Accelerators, Networking for Distributed Training, Memory / Storage Architecture, Data Center Infrastructure, Edge AI Compute

Compute Markets & Economic Layers: Spot / On-Demand Compute Markets, Compute Marketplaces & Aggregators, Multi-Cloud Optimization, Supply Routing & SLA Optimization, GPU Sharing Protocols

Data & Pipeline Ops: Data Engineering & ETL/ELT, Streaming Systems, Synthetic Data Generation, Data Labeling & Human-in-the-Loop

Model Lifecycle & Deployment: Continuous Training (CT), Safe Deployment / Rollouts, Retrieval-Augmented Generation Operations (RAGOps), Search & Ranking Infrastructure, Multi-Agent Execution Frameworks

Security, Compliance & Trust Layer: Inference Security / Abuse Prevention, Model Sandboxing, Data Residency & Compliance Infra, Secure Model Delivery & Signing, Verifiability, Cloud Permissioning / Identity Fabric

Developer Tools & ML Productivity: Code Acceleration Tools, Environment & Packaging Systems, GPU Debugging Tooling, SDKs for Distributed Systems

Emerging Technologies & Developer Tools: Low-Code/No-Code ML Platforms, AutoML & Neural Architecture Search, Prompt Engineering & LLM Ops Tooling, Vector Databases & Embedding Stores, Model Fine-Tuning Platforms

Application Layer & Vertical AI: Industry-Specific AI Solutions (Healthcare, Finance, Legal), Workflow Automation & AI Assistants, Content Generation & Creative Tools, Knowledge Management Systems, Customer Experience & Support AI

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<aside> Operator / Growth Lead at Hyperbolic (B2B Compute & Inference)

Led BD, product-led growth, GTM engineering, product marketing, partnerships, and all growth initiatives.
Built and scaled AI product from $0 to $5M ARR in one month through strategic partnerships with AI labs, VCs, and ecosystem players, now at ~$10M ARR.
Developed and executed comprehensive GTM strategy including product-led growth motions, technical sales enablement, and developer community engagement.
Created "The Compute Table Series": exclusive founder dinners connecting early-stage AI startups with compute resources, resulting in 30+ qualified pipeline opportunities.
Established strategic partnerships with AI accelerators and hackathon organizers (AGI House, AI Collective, VCs etc.), sponsoring events that generated 200+ developer signups and many startup leads. </aside>

<aside> Portfolio Development Work (Supporting Startups)

Pantera Capital: Created a comprehensive token launch playbook covering 233+ asks from portfolio companies, including ICOs, market making, launchpads, GTM strategies, and regulatory compliance; produced DePIN market maps and case studies (e.g., Bittensor, GEODNET, Ondo Finance) with growth and marketing strategies.
Berkeley Blockchain Xcelerator: Mentored and advised startups such as AutoAPE.AI and Societal Labs; drove pivots in business/revenue models, revalidated PMF through customer interviews, and supported fundraising via VC introductions. $40M follow-on fundraising, $650M total at BBX.
Blackskies Investments: Guided Squeeze Me in scaling CV analytics tools to 250+ locations, raising $6.7M seed at $22M valuation; supported Karu Learning with EdTech market research and fundraising strategy, leading to $100K seed financing. </aside>

My Blurb:

Across roles at General Catalyst, Pantera Capital, Berkeley Frontier Fund, Third Sphere, and Blackskies Investments, Belle has developed a sourcing engine grounded in technical pattern recognition and the 30+ curated founder events she has hosted, ranging from AI/compute meetups and co-hosted hackathons to intimate dinners like The Compute Table Series that reliably generate deal flow.