A beautiful way to track your CrowdStrike stocks

Hacker News

Our two developer team has been bootstrapping this for quite some time, launched on Product Hunt also and managed to rank #3 fintech of the Month. Now that CrowdStrike is trending and many are hopping onto the buy the dip train, why not track those shares on Stockle and view their daily movements and how much you are winning. Here's the core features: - Aggregated / Portfolio views - Open / Closed position metrics - Historical Performance tracking (TWR, Simple Return) with benchmarking and option to set up custom benchmark for each portfolio - Market value + cost basis charts - Allocation - Dividend tracking - Volatility, trend & profit rate etc. stats & Bunch of other features Feel free to leave feedback on what's missing and what we should add next

Visit product View on Hacker NewsJul 22, 2024

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Actual performance

3points

2comments

Did not reach leaderboard

Launch Intel predictions

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

82%82% 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.

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

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

41%41% predicted probability of success on AppSumo, 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 released

30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

27%27% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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