金融商业1 month ago
Money GPT — Your accounts, one clear picture
Money GPT 连接账户，查看余额、支出、预算和投资。
@moneygptapp · X
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22 projects
Money GPT 连接账户，查看余额、支出、预算和投资。
@moneygptapp · X
用手工优先的个人财务平台管理预算、债务、现金和投资。
@YoloBust · X
free financial education for the people
expenie — 跟踪开支、收入、账户和预算，支持定期规则。
@umarbashir · X
I just shipped my first ever SaaS product. It's a small personal fiance tracker especially to manage expense , incomes, loans, subscriptions, and set budgets for your expenses. You can find it here:
FinBoard is a personal finance dashboard that lets you track accounts, budgets, transactions and a multi-currency investment portfolio (including crypto) in one place. Connect your
@finboardme · X
Moo Money helps you track spending, budgets, net worth, accounts, and investments together in one clear personal finance app.
@moomoneyapp · X
Clarity是AI财务教练，帮你计算发工资前能安全花多少钱。
u/simba2k20 · Reddit
Clarity – An AI financial coach What actually brings users back to a personal finance app every week? I’m exploring whether a weekly recommendation, safe-to-spend update, goal progress, or alerts create the strongest retention loop. For people who have built finance or habit-based apps, what worked and what did not? Landing Page: https://clarity-web-seven.vercel.app/landing.html Web App: https://clarity-web-seven.vercel.app/ I’m especially looking for feedback on onboarding, ret
在一个仪表板中追踪支出、订阅和定期付款。
@tauro2585 · X
All your finances in a single clear platform.
跟踪个人支出、预算和财务目标的一站式仪表板。
@Bogdan266624 · X
监控AI成本，预测支出，为团队设置成本限制。
@eastbase_studio · X
连接QuickBooks Online追踪补助金预算并生成资助方报告。
@wesmcole · X
Bargeldsucher - 无需电子表格跟踪资金收入、支出和余额。
@Susu_Omo · X
Shipped my first SaaS MVP today! Bargeld Sucher is a simple fund management app built to help track money received, expenses, and balances without spreadsheets. Built with: Next.js, Prisma I’d love your honest feedback. 🔗 #BuildInPublic #NextJS #SaaS
通过TrackMyTank记录加油来追踪油耗和支出。
@GururajCC · X
The first version was honestly built just because we wanted to answer one question: "Is my vehicle actually becoming more expensive to run?" Turns out the answer is much easier when you have the data. Link: