PremiumFlow – Track true cost basis for the "Wheel" strategy and LEAPS

Hacker News

Hi HN, Like many here, I started trading the "Wheel" strategy (selling puts/covered calls) to generate income. I quickly realized that tracking my true cost basis was a nightmare. My brokerage shows the stock's purchase price, but it doesn't "know" that I've collected $400 in premiums over the last three months. I ended up with a massive spreadsheet that I had to update manually every Friday just to see if I was actually profitable. I built PremiumFlow to automate this. It treats the option premium and the underlying stock as a single financial unit. What’s inside: Automatic Basis Adjustment: If you sell a call against a LEAP or stock, your "break-even" price updates instantly. Assignment Risk: It monitors how close your short puts are to being ITM. No Spreadsheet Mess: All the math (annualized returns, DTE, etc.) is handled in the dashboard. I’d love for you to kick the tires and let me know what you think. I'm especially interested in feedback on the UI and any edge cases in your own options strategies that I might have missed!

Visit product View on Hacker NewsDec 23, 2025

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2points

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

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best fitHighest predicted score across all platforms for this description.

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

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TrustMRRLess likely to generate early MRR · Strong signals: month, trading, profitable · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, 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

44%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.

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

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

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

26%26% 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.

Correct prediction on native model

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