How Much Total Capital Do Startups Actually Need to Build

How Much Total Capital Do Startups Actually Need to Build

Author

Peter Walker

|

Read time: 

1 minute

Published date: 

March 9, 2025

Adding seed through Series D for software startups totals around $100M—but AI startups with dramatically different economics are challenging whether that...

LinkedIn: How Much Total Capital Do Startups Actually Need to Build

The biggest question around startups today: how much money do you 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗻𝗲𝗲𝗱 to build a generational business?

If you just look at software startups (so leaving out Hardware, Biotech, etc), the data below shows how much VC-backed companies are raising per round.

Add it all up, from Seed through Series D, and you get $100M.

But do startups, especially those building with AI, really need that much money?

𝗔𝗿𝗴𝘂𝗺𝗲𝗻𝘁𝘀 𝗙𝗼𝗿

  • Money solves money problems. In spaces that are becoming more and more crowded by the day, capital can help you stand out from the 100 other software solutions.

  • Investments from brand-name VCs help with hiring, with enterprise contracts, with new investors.

  • The cost of building a company is going down, but what you used to spend on payroll you now spend on compute and distribution.

𝗔𝗿𝗴𝘂𝗺𝗲𝗻𝘁𝘀 𝗔𝗴𝗮𝗶𝗻𝘀𝘁

  • Midjourney has never raised a round and makes hundreds of millions in revenue (insert all other examples).

  • Less funding = less dilution = more equity for founders (and hopefully early employees).

  • Getting to profitability early on in a company's lifecycle, with or without lots of funding, increases founder optionality in terms of growth paths.

No perfect path. But it's got to be good for startups overall to see so many founders choosing their own capital journey as opposed to the binary "Bootstrap vs VC" that dominated in prior years.

#startups #founders #fundraising #VC #bootstrap

Peter Walker
Author: Peter Walker
Peter Walker runs the Insights team at Carta, focused on discovering key data and narratives across the private capital ecosystem. In a former life, he was a marketing executive for a media analytics startup and led the data visualization team at the Covid Tracking Project.

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