Total Compensation Calculator get more out of your startup equity

Hacker News

I always managed startup equity in google sheets, and tracking the different grants and vesting schedules just got really complex. As I modeled different scenarios out and plugged in all the grants, it became obvious there was value in a more structured way of visualizing things - a better way to compare offers at different companies, understanding tax implications, getting a sense of future equity cliffs. This is an MVP and you'll notice there are only a few states supported so far (California and New York for example)for the tax scenarios, as well as different tax situations like married filing separate or itemized deductions. This was a project inspired by some of SecFi's tools - but I wanted a bit more control over how to present the data. Another way to improve would be to integrate with Carta to avoid inputting grants manually. In general, this is what I've always wanted - a single URL I visit now if I receive another equity grant or want to understand different exit scenarios at a private company.

Visit product View on Hacker NewsDec 30, 2024

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

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Strong signals: ios, google, way · Missing: mobile apps, personal, entrepreneurs

67%67% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

50%50% 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

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

13%13% 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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