Elena Burger
Showing 1–4 of 4 transcripts.
- a16z45 min
How Borderless Founders Build Global Companies
Elena Burger, Angela Strange, Gabriel Vasquez
A16C's global strategy targets "Borderless Founders" from overlooked regions who leverage hybrid profiles and deep local networks to build full-stack solutions with international ambitions. The firm facilitates this growth through "Borderless Dinners" and visa support, helping diaspora members navigate Silicon Valley's infrastructure while maintaining engineering hubs in their home countries. This approach has already positioned international founders as 40% of A16C's portfolio, aiming to diversify venture returns beyond the traditional Silicon Valley dominance.
- a16z44 min
Lighthouse or Landgrab? How to Pick Your AI Sales Strategy
Elena Burger, Andy McCall, Joe Schmidt
Founders are advised to strategically align their early-stage sales motion with either a high-risk "Lighthouse" approach targeting regulated enterprise logos or a high-velocity "Land Grab" strategy focusing on mid-market customers with immediate budget availability. This framework distinguishes between markets requiring social proof for decision-making and those driven by mathematical ROI, utilizing historical precedents like Samsara and Meraki to demonstrate how companies can scale by selecting the appropriate playbook before verticalizing. Successful execution involves hiring distinct sales talent, managing rigorous proof-of-concept timelines to avoid pilot purgatory, and recognizing that early-stage momentum often relies on rapid mid-market adoption rather than chasing prestigious but slow-moving enterprise contracts.
- a16z46 min
How Open Source Became AI's Backbone | Inferact with a16z
Elena Burger, Matt Bornstein, Simon Mo
VLLM serves as a critical inference engine for over half a million GPUs, bridging the gap between research and production by collaborating with hardware vendors and model labs to ensure day-zero compatibility for over 1,000 architectures. The platform addresses the industry's shift toward open-weight models by providing granular control over performance tiers, data retention, and guardrails that proprietary APIs often restrict. Looking forward, VLLM advocates for an ecosystem where open and frontier models become indistinguishable in capability, with infrastructure innovation focusing on optimization speed and algorithmic efficiency rather than mere data sourcing.
- a16z1h 1m
The New Rules of Enterprise Software with Steven Sinofsky
Steven Sinofsky, Seema Amble, Elena Burger
As enterprise software evolves to support AI agents accessing core logic via APIs rather than traditional interfaces, incumbents like Salesforce are pivoting toward "headless" architectures to facilitate direct data retrieval. However, the immense stickiness of legacy systems such as SAP persists due to deeply codified business logic and regulatory compliance that cannot be easily replaced by simple automation or "vibe coding." Consequently, high-value startup opportunities emerge not by competing directly with these giants but by building invisible layers that capture unstructured human context, bridge functional gaps between departments, and manage the complex "long tail" of exceptions that legacy platforms ignore.