Both Sides of the Table
JUNE 30, 2011
This is the final part of a 3-part series on the major changes in the structure of the software & the venture capital industries. With more competition in early-stage many VCs are investing smaller amounts at earlier stages. Some are going later stage to not miss out on hot deals.
David Teten
SEPTEMBER 23, 2017
Private equity and venture capital investors are copying our sisters in the hedge fund and mutual fund world: we’re trying to automate more of our job. Advances in machine learning, specifically natural language processing, have made generating these baseline, aggregate datasets possible, at scale, with high accuracy.
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David Teten
JULY 25, 2017
At HOF Capital, we support our companies through 7 main levers (i.e., the “TOPSCAN” framework from my research study on value creation by VCs ): T eam-Building – We aggregate openings across our portfolio on our jobs page. – Aggregation, ranking, and discounts from service providers. Ethics Policy, Expenses policy).
Both Sides of the Table
JUNE 27, 2021
If you’re a later-stage fund that comes in when there’s less upside but a lower “loss ratio” you might have only 8–12 investments in a fund. Another 3–5 could return in aggregate $300–500 million. Early-stage venture capital is about extreme winners. The right number of deals will depend on your strategy.
VC Adventure
AUGUST 15, 2018
Back in the olden days of venture capital, company boards had wide discretion in pricing company options. It was and is imprecise science but – at least in the case of venture backed startups – there wasn’t much harm in an option being priced low. Quick note: I’m not your lawyer. I was wrong.
Startup Professionals Musings
SEPTEMBER 1, 2014
Accelerators generally accept startups at a slightly later stage, and attempt to compress the timeline to commercialization into a few months, instead of a year or more. Think of that challenge like competing for limited venture capital. billion, with the total amount raised topping $2 billion.
Version One Ventures
SEPTEMBER 6, 2017
Over the next two weeks, I set out to build my own Mattermark / CBInsights by aggregating the APIs of Crunchbase, AngelList, and Twitter, as well as any other relevant datasets I could get access to. At later stages, there’s more access to private data that they can benchmark against their own successful portfolio.
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