NeonFin – Manage your personal finances and budgets

Hacker News

Hey HN! We've been working tirelessly for the last few months to perfect neonFin: We know how frustrating it can be to use budgeting apps that just don't give you the information and analytics you need to truly take control of your finances. That's why we've created neonFin - the ultimate budget book app that offers powerful tools to help you make sense of your spending and achieve your financial goals. With neonFin, you'll enjoy features like: Effortless expense tracking with our AI-powered receipt scanning feature that allows you to add new purchases to your budget in just seconds. Understanding what you are actually buying with the integration of detailed information about products, like the share of vegan products, CO2 emissions, price changes, and more. Advanced analytics in real-time to help you track your expenses by category and see your spending habits over time. Create budgets for different aspects of your life like CO2 emissions, average nutriscore, and more. We believe that with neonFin, you'll have everything you need to take control of your finances, and we can't wait to hear your thoughts about our app!

Visit product View on Hacker NewsJan 21, 2023

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

93%93% 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.

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

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

62%62% 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

47%47% 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 · Missing: plus, platform, intuitive

27%27% 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

10%10% 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 · 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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