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Everything you wanted to know about US startups in 2024 in 100 charts.

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Here are last year's highlights

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𝗙𝘂𝗻𝗱𝗿𝗮𝗶𝘀𝗶𝗻𝗴 • US startups on Carta raised ~85billionthisyear,upfrom85 billion this year, up from 75 billion in 2023. Progress. • That cash boost was raised on about 12% fewer rounds. Less progress.

𝗩𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻𝘀 • Closed near record-highs for seed & Series A, slightly below that for B, and well off peaks for C and beyond.

𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝘀 • The year of AI has extended into the 3 years of AI. It dominated discussions, valuations, and attention.

𝗣𝗿𝗲-𝗦𝗲𝗲𝗱 & 𝗦𝗔𝗙𝗘𝘀 • The majority of rounds that raised less than 3millionwerecompletedonSAFEsthispastyear.903 million were completed on SAFEs this past year. • 90% of rounds under 1 million have moved to SAFEs.

𝗖𝗼𝗺𝗽𝗲𝗻𝘀𝗮𝘁𝗶𝗼𝗻 & 𝗛𝗶𝗿𝗶𝗻𝗴 • Salaries were flat, equity was slightly down, but both stopped falling (which they had been for a year or so). Hiring, however, did not bounce back meaningfully.

• Startups internalized the lean message and are now smaller (in terms of total headcount) at every fundraising stage.

𝗠𝗲𝘁𝗿𝗼 𝗖𝗼𝗺𝗽𝗮𝗿𝗶𝘀𝗼𝗻𝘀 • The Bay Area remained the home of startups, but many metros saw a bounce back from lows in 2023. Within AI, the Bay took in 55 cents of every dollar invested into the sector.

𝗙𝘂𝗻𝗱 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 • The decline from 2021 peak valuations had a lagged but predictable impact to fund performance metrics like IRR and TVPI. Conversations turned towards when is the appropriate moment for investors to push for DPI...opinions differed.

• The elongation of private company lifecycles (median time to IPO has now crossed a dozen years) has major implications for the fund lifecycle as well.

𝗘𝘅𝗶𝘁𝘀 • Very few IPOs, but M&A picked back up (15% higher than 2023). Remains to be seen if those acquisitions generated real wealth for founders and employees. As is usually the case, pundits are optimistic about exits in 2025.

• Shutdowns hit a new peak for Carta companies. This was expected after the funding glut of 2021 but was none the easier for those founders, employees, or families.

I love being able to pull data that covers founders, investors, and employees to give a 360 picture of startup life. Too many fascinating data points to list them all here.

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