Pricing calculator for marketplace sellers (Amazon, Etsy, eBay)

Hacker News

Hi HN, I built ProfitPilot after noticing many online sellers price products using incomplete marketplace calculators or spreadsheets. Most tools show platform fees but ignore advertising costs, returns, taxes, and target profit planning — which means sellers often discover real profit only after listing. ProfitPilot focuses on pre-listing decisions: • calculate true profit and margin • reverse pricing from target profit • test multiple pricing scenarios quickly It’s intentionally simple and platform-independent. Would really appreciate feedback — especially from anyone selling online or working in ecommerce tooling.

Visit product View on Hacker NewsFeb 27, 2026

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Actual performance

3points

2comments

Did not reach leaderboard

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

77%77% 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.

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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% predicted probability of success on TrustMRR, 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

38%38% 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, margin · Missing: arr, mrr, revenue

24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

9%9% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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