Built a app to track monthly expenses and spend hotpoints

Hacker News

Hi, I have developed a simple budgeting website over the holidays. Features. 1) The app is in very early stages. But the basic functionality of Adding Income and Expenses and the respective visualizations work. 2) Visualization and Sankey representation of your budget can be seen on the home page. 3) Yearly View - Represents all expense for chosen year. 4) Monthly View - Allows you to add income and expenses for a specific month. 5) Recurring Income and Expenses can also be added. 6) Analytics View - Provides detailed insights on your spending habits. Note: I developed it as a personal project and thought it would benefit someone looking for a similar tool. This app is not for everyone as it involves time to be spent for tracking expenses. Certain bank applications offer this in their app. Mine doesn't and I also wanted to bring a holistic view from different accounts. Aware of multiple similar product offerings. I just built it as an exercise to learn and have something convenient at my end which provided detailed money flow diagrams. The app does not support automated bank integration or credit card integration. Will never do this. I want to keep the app simple and make budgeting a habit and it's for the people who take personal finance seriously and spend time to manage it. Thoughts and Feedback welcome.

Visit product View on Hacker NewsDec 30, 2024

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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.

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

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

55%55% 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

39%39% predicted probability of success on AppSumo, 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

35%35% 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: recurring · Missing: arr, mrr, revenue

17%17% 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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