I

I built my own financial planinng app

Hacker News

I built my own financial planinng app

A few years ago, I started managing my finances using Google Sheets. It worked fine for a while, but then I hit some limitations. As my financial planning needs grew more complex, I found myself struggling with tracking assets and forecasting future financial scenarios. Thus, I started to work in my spare time on building FinancialAha: https://www.financialaha.com - a financial planning app designed to do everything my spreadsheets couldn’t. It is completely free and I intend to add some paid features later on as listed on the pricing page, but I want to keep it free for people that need to do basic financial planinng and projections. Currently it works best on desktop screens, and I working on making it available on mobile devices. Key Features: - track all your assets & debt - manage various types of assets including cash, stocks, real estate, digital assets, etc., all in one place. - cash flow insights - visualize and optimize your income and spending habits. Understand where your money is going and plan smarter. - financial projections - use your current data to create realistic projections, plan for future expenses or investments, and keep your finances on track. - privacy and Security - by default, your data remains in your browser, and when stored, it's encrypted end-to-end. The data never gets on our servers unencrypted and all the encrypt/decrypt is done on client. This way, the plain data never gets to FinancialAha. You can try it for free and see how it works. Check it out here: https://www.financialaha.com I'd love to hear your feedback!

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5points
3comments
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, ios, including · Missing: supports, reddit linkedin, podcasting
90%90% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io, including · Missing: https docs, excited, just released
67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, visual, using · Missing: mac, agents, macos
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios, google, visualize · Missing: mobile apps, personal, entrepreneurs
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
38%38% 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, 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: finances, paid, smart · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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