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2024 Crypto Recap

Hacker News

2024 Crypto Recap

I made 2024 Crypto Recap to make an engaging way to see how your crypto portfolio stacked up this year. If you aren't someone who spends all day monitoring the latest in crypto, but still have some crypto on eg Coinbase, you might have a general sense of how your portfolio is doing, but might not know other things like: - How did your portfolio fare vs the S&P 500 this year? - What were your best and worst trades, if you had any? - How does your crypto behavior compare to others? I made 2024 Crypto Recap to make a fun, quick way to see all these in a familiar format. I had the idea to make this because around the end of the year is usually when I'm checking in on my own financial situation; and a lot of the personal finance tools I use for that don't have great support for crypto. I was surprised to learn that much of this data was just an API call away thanks to Coinbase, and of course took inspiration from many of the other wrapped products out there, too. I hope you learn something interesting and maybe get a chuckle out of it. Feedback welcome!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
86%86% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
51%51% 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
36%36% 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
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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