The Financial Planner Built on Scenario Modeling

Hacker News

We are launching FinP4l, a life-long financial planning tool built with two core principles: actionable complexity and data sovereignty. Scenario Modeling Over Probability: We found Monte Carlo simulations to be too abstract for real life planning. Instead, our engine focuses on deterministic scenario modeling. You model specific, high-impact risk events and what-if scenarios (e.g., "What if the market crashes 50% in year 3 and inflation spikes to 8%?") to build stronger contingency plans and derive actionable conviction. 100% Local-First: Your sensitive financial data never leaves your browser; it runs entirely client-side.

Visit product View on Hacker NewsNov 30, 2025

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best fitHighest predicted score across all platforms for this description.

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

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

40%40% 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

36%36% 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

32%32% 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 · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real life · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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