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A crypto and dividends dashboard I made for my baby CEO
Hacker NewsA crypto and dividends dashboard I made for my baby CEO
Hey HN! My newborn can’t talk yet, but I figured he needs a portfolio dashboard anyway. So I built one — tracking crypto, dividend stocks, and fun KPIs like: HODL Strength Passive Income % Crypto Mood (emoji-based, of course) Danger Zone if I YOLO too much into one coin No login. No ads. Just data, dad jokes, and dollar signs. Let me know what you think (or what my baby CEO should add next). https://mattiasassets.com
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Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released44%44% 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 · Strong signals: way · Missing: mobile apps, ios, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive39%39% 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, revenue25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos17%17% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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