Assetsrank – Rank and compare historical stock and crypto returns

Hacker News

I made this website to rank and compare historical returns for stocks and cryptocurrencies. The list of assets tracked is just over 500 long and the data goes back approximately 9 years to 2016 (9 since its almost 2025). The chart shows the cumulative returns over the timeframe requested for the top 5 assets in the list while the datatable has information for every asset tracked. There's also some basic filtering to play with and some text to read on the about page. A lot of the frontend was made with the help of o1-preview. I'm sure theres a ton of bugs currently, but I used it for a while today for research and it went pretty well. I hope you find this tool useful!

Visit product View on Hacker NewsOct 18, 2024

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Actual performance

2points

Did not reach leaderboard

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

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best fitHighest predicted score across all platforms for this description.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

37%37% 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

24%24% 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

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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