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Aneel Lakhani
Investor, Advisor, Growth Therapist, Marketing Exec
Aneel Lakhani is an experienced investor and technology professional currently serving as an Investor at Crane Venture Partners.14 With over 25 years of experience in the tech industry, Aneel has worked across various roles including engineering, product management, and marketing at companies such as IBM, Cisco, SignalFx, and Honeycomb.34
At Crane Venture Partners, Aneel focuses on leading Pre-Seed and Seed investments in software infrastructure startups.14 His areas of interest include developer infrastructure, data platforms, machine learning infrastructure, vertical AI products, supply chain modernization, and fintech.4
Career Highlights
- Crane Venture Partners: Joined as an Advisory Partner in September 2020 and became an Investor in June 2021.4
- Board Positions: Serves as a Seed Investor and Board Member for companies like Deta, Veratrak, and Nuclia.14
- Angel Investments: Has made angel investments in startups such as Béa Fertility, Overmind, Caribou, and Calyptia.4
- Previous Roles: Held positions at Honeycomb.io (VP Strategy & Business Development, VP Marketing), SignalFx (Director of Marketing), and Gartner (Research Director).4
Education
Aneel holds a BS in Computer Science from Rensselaer Polytechnic Institute, which he attended from 1999 to 2003.14
Investment Philosophy
Aneel leverages his broad experience to help founders successfully go to market and reach their next growth stage.3 He is particularly interested in critical infrastructure software in AI, data, dev, payments, and supply chains.2
Aneel's LinkedIn profile (username: aneel) provides more detailed information about his professional background and current activities in the venture capital space.4
Highlights
Watching people slowly realize that LLMs aren’t semantic
Is weird
Because these are all “engineers” with a fundamental incuriosity about how the thing they’re playing with works and doesn’t work
VC’s, on the whole, seem completely disconnected from any ground truth
🧵 of things that all the people working on generative AI could fix, but won't. Eventually, in a lets-boil-the-ocean-to-deliver-a-cup-of-tea way, these things might get better. But not because anyone is trying. Let's begin! 👇🏽

