
aiPatri · Veo tu patrimonio entero — y sé en qué año serás libre
aiPatri 一张照片分析你的全部资产,用蒙特卡洛模型模拟退休时间。
@aiPatri_app · X
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aiPatri 一张照片分析你的全部资产,用蒙特卡洛模型模拟退休时间。
@aiPatri_app · X

通过蒙特卡洛分析模拟退休计划,查看达成目标的概率。
u/Negative-Ticket-9716 · Reddit
I open-sourced a free retirement planner with real Monte Carlo simulation (React + Supabase + edge functions) I built a free retirement planning tool that runs the analysis financial advisors charge $2,000+ for: a 10,000-trial Monte Carlo simulation over your savings, allocation, and withdrawal plan — probability of success instead of a single-point guess. It also models Social Security claiming ages, Roth conversions, and has a stress test that replays 2008, 1970s stagflation, and the Lost D

AIWMC Quantis:90秒内AI分析商业创意的财务预测和风险场景。
@AIWMCX1 · X
Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.

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