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Fynyky–Zero-Based Budgeting and Personal Finance Management

Hacker News

Fynyky–Zero-Based Budgeting and Personal Finance Management

We are launching our MVP with our zero based budgeting feature, as it defines the structure of the whole app. You can also easily import your transactions with secure bank syncing. We use Plaid to fetch only your latest transaction data. Rest assured, we don't save any sensitive information in our database. We only save the bank account name, which you can edit, or you can simply revoke the connection to Plaid, which only has access to receive the latest transactions. We're working on CSV imports too, coming soon! While we're kicking off with budgeting, we've got big plans ahead. Think leverage , tax filing , and smart projections for you high-earners out there. But first things first – let's get that budget sorted! Our mobile app is in the works, and we will release beta access to early adopters soon.

Visit productView on Hacker NewsJul 22, 2024
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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
65%65% 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
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
49%49% 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
38%38% predicted probability of success on AppSumo, 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
36%36% 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 · 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: smart · Missing: web3, chat, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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