We've built FinWise over the last 7 months

Hacker News

Hey HN :) My husband and I have spent the last 7 months building FinWise, and I'm excited to share it with you. FinWise is the modern way to manage your personal finances, including budgeting, net-worth tracking, financial planning and forecasting, reports and insights, and more. Jason and I have a background in software engineering and finance, and FinWise is pretty much all we've been doing over the last few months. So far we have just over 300 sign-ups, and we've been rolling out new features on a daily basis. Our app is built in Next.js, Typescript and PostgreSQL, and we have many more exciting features planned for the next few months. We've been using this as an opportunity to expand on our AI knowledge, and have an AI Assistant feature planned next. We've implemented multi-currency from the get-go, support bank syncing using Plaid in USA, Canada and South Africa, and are planning to expand into Europe soon. Would love to hear your thoughts :) Nicol x

Visit product View on Hacker NewsOct 31, 2023

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

86%86% 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: new, using · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, including · Missing: https docs, just released, exist

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% 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 · 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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