A minimalist net worth tracker for individuals

Hacker News

Hi HN, Today I'm launching the Net Worth Tracker by Flow Finance, a beautiful and minimalist Excel template that allows individuals to track their assets, liabilities, income, and spending on a monthly basis. The focus of this template is understanding long-term trends in the incoming and outgoing expenses for an individual—always with a focus on maximising insights while minimising user inputs. This project was created because the alternatives, frankly, are completely overwhelming. A friend of mine introduced me to the FIRE Movement and, after doing deep dives through Reddit, I tried to find templates to help facilitate a financial tracking system of my own. Every template felt like complete overkill: portfolio tracking for shares, mortgage repayment calculators, even a kind of speedometer which moved depending on my savings rate. Clever, no doubt, but unnecessary for my purposes. After years of tinkering and refining what I truly wanted out of this spreadsheet, I realised it was to clearly understand the flows of my finances. This spreadsheet does not attempt to compete with a typical FIRE spreadsheet or tools like YNAB/Mint, it is about capturing the big picture once a month and essentially taking a snapshot of my financial health. I've priced this spreadsheet at $15 which I believe is a fair price for the value you'll see in taking more control over your personal finances, however as an added incentive (and because I am proud of what I've created and would love more people to use it), I'm currently offering a 50% discount to all HN users, who can use the code f3g27mt at the Gumroad checkout. Thank you for your time and I sincerely hope this product can assist you as much as it has for me. I am more than happy to answer any questions you may have so please feel free to comment below or reach out at contact@getflow.finance. Thank you!

Visit product View on Hacker NewsApr 12, 2023

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

85%85% 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: user, code · Missing: mac, agents, macos

61%61% 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

59%59% 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

42%42% 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 · Strong signals: users · Missing: plus, platform, intuitive

30%30% 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

15%15% 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, introduce · 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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