Built a free cap table tool to save founder form spreadsheets

Hacker News

Quick story time: Despite my finance degree and years in banking consulting, when I moved to VC I struggled a lot with cap table calculations. I could analyze business models all day, but equity dilution? Pure nightmare fuel. Then actually I've discovered that MANY founders struggle with that.That's why when I left VC to double down on Indie Hacking I decided to build EquityCap: What it does: - Visualizes equity dilution without the complex math - Projects future cap table scenarios - Makes equity planning actually understandable Why I'm sharing: 1. It's completely free (forever) 2. No signup required to get started 3. Just a tool I built to solve my own pain point that can help others If you're great at growing businesses but get a headache from equity calculations, hope this can help. I'm launching on Product Hunt today so I'd love to hear your feedback also there https://www.producthunt.com/posts/equitycap Questions welcome!

Visit product View on Hacker NewsJan 15, 2025

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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, visual · Missing: mac, agents, macos

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

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

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: ios, visualize · Missing: mobile apps, personal, entrepreneurs

17%17% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

16%16% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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