We made BudgetMaker for you to know where your money goes

Hacker News

So my pal's great at design, and I'm all about coding. We've been itching to put our heads together and build something awesome. After bouncing around a bunch of ideas, we zeroed in on one common pain point we all face - budgeting and expense tracking. Let's face it, most of the apps out there are either jam-packed with annoying ads or super confusing to use. That's why we're buidling a straightforward, user-friendly budgeting and expense tracking app that's ad-free and totally free to use. Plus, it's built on React Native, which I've been absolutely enjoying working with. We'll sort out how to make money from it later, but we promise: no ads, ever. We're still fine-tuning and would really appreciate your thoughts on how we could do better. And hey, a little positivity never hurt either! Thanks for your time!

Visit product View on Hacker NewsSep 8, 2023

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

87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

45%45% 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 · Missing: https docs, excited, just released

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: make money · 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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