VC schedules, and thoughts on being a VC noob.
-- VC schedules to know --
Most venture capital firms hold partner meetings on Mondays. This is typically when the investment committee votes on new investments and other key decisions. Savvy founders learn the exact timing and may need to provide additional data over the weekend to stay in motion.
It is also well known that many venture capitalists observe a “European summer,” with August often being light or fully off.
Similarly, the winter holidays reduce activity across much of December. That said, data from Carta shows a meaningful year-end push to close deals in December, followed by a flurry of activity in January.
Founders should be cautious about kicking off fundraising during these slower periods. You do not want a raise to go stale and fall apart. VCs talk to each other, the industry is highly interconnected.
-- I’m a mid career Noob! --
I am an “emerging manager,” effectively a new VC, less than three years in. In venture capital, the timeline is long.
On my Linkedin you'll see I have two roles at Blitzscaling: Limited Partner means I put money into a fund, but have no decision making ability, and General Partner means I'm actively finding startups, bringing them to the partnership, and funding.
As a General Partner, you are often considered an emerging manager for close to a decade, as it takes years for a fund to fully mature and establish a VC track record.
Investing is a long game, but the upside can be extraordinary. Fortunately, I entered this role with a positive angel track record from my own bank account, which is often a good idea to have as a VC.
When I learn a new VC concept or term, I’m an AI first, I’ll link to my post a few days ago in the comments, I totally live for constant growth and learning, if you’re not growing you’re dying.
Fun fact: Many/most start their VC career in their 40s, as they need to have enough tech and biz cycles, a broad enough network, resources, and a platform to stand upon.
As we end the year, I'm sharing more career thoughts, and productivity thoughts, rather than industry trends and market maps and frameworks and forecasts.
I wrote all of this by hand myself, but used AI to edit some of it.