Eq

Equities.fyi – Startup valuations based on public company data

Hacker News

Equities.fyi – Startup valuations based on public company data

With the current down markets, we were wondering what private company valuations looked like when compared to similar public companies. We were inspired by the a16z article ( https://future.com/framework-valuation-navigating-down-marke... ) for calculating valuations and figured out the sales-to-valuation ratio of public companies at the time of the last fundraising round and applied the change in the public market to get the current startup valuation. If things don’t look right, our defaults might be off - please feel free to change those if they’re too different from what you’d expect.

Visit product View on Hacker NewsJul 28, 2022

Actual performance

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: lua, io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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