I create a web application named Tidve to manage subscription

Hacker News

Hello HN, I've developed Tidve App, a subscription management tool designed to help users monitor and understand their monthly expenses. The app displays all upcoming subscriptions set to renew within the next 30 days and provides currency conversion estimates based on approximate figures. Key Features: Upcoming Subscription Alerts: Receive timely notifications for subscriptions renewing within the next 30 days. Currency Conversion Estimates: View approximate costs in your preferred currency to better understand expenses. Expense Tracking: Monitor and analyze various monthly expenses, including subscriptions, installments, and fixed costs. You can explore the project on GitHub: https://github.com/weehong/tidve-app

Visit product View on Hacker NewsFeb 25, 2025

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Did not reach leaderboard

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

80%80% 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.

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

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

41%41% 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, including · Missing: https docs, excited, just released

28%28% 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 HuntUnlikely to reach the leaderboard · Strong signals: user, new · Missing: mac, agents, macos

26%26% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription · 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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