Personal Finance & Financial Forecasting App – iOS & Android

@diektech

Hi — Elias here from Miami. I see you're developing a personal finance and forecasting app for iOS and Android. The goal is to offer users a seamless experience in managing their finances. What usually matters most here is ensuring the app scales efficiently and maintains a robust architecture. A common issue in systems like this is managing complex workflows, especially when integrating financial data and ensuring accuracy. The tricky part is often setting up the right permissions and automating forecasting logic. My approach would focus on a clean separation of concerns between the frontend and backend, utilizing Flutter for a unified codebase. The backend, built with FastAPI and PostgreSQL, would be optimized for performance and future expansions. This ensures the app remains maintainable and adaptable to user needs. I’ve worked on similar financial applications, implementing secure user authentication and efficient data handling for high reliability. A few questions to better understand the scope: Q1 – What specific user roles and permissions do you envision for the app? Q2 – How do you plan to handle data integrations for financial forecasts? Q3 – Are there any compliance requirements we should consider for user data? Happy to discuss the details and suggest the best technical approach. Looking forward to hearing from you.

@MashoodurRehman1

I am a seasoned developer with strong expertise in Flutter and mobile applications, backed by extensive experience in the fintech domain. My background includes successful development of financial applications that involve complex forecasting engines, secure data handling, and multi-currency support. My technical proficiency spans across building deterministic financial engines tailored for personalized financial management and forecasting platforms. In the past, I have delivered robust solutions involving scenario analysis, cash-flow forecasting, and comprehensive dashboards, ensuring high quality and security standards. Additionally, my knowledge of Python, FastAPI, and PostgreSQL aligns well with your preferred technology stack. I have also worked with RTL design, ensuring seamless functionality for Arabic users. I am keen to discuss further how my skills can perfectly align with your project's Phase 1 MVP requirements and your vision for future phases. Could we schedule a detailed conversation to delve deeper into the RFP specifics and explore a potential collaboration?

@mikelilei82

Hi there, I can help you build the Phase 1 MVP as a production-ready Flutter app with a backend and a deterministic financial engine at the center of the system. Your key risk is not just building screens; it is making sure recurring transactions, scenario isolation, forecasting horizons, currencies, RTL/LTR UI, exports, and reports all produce consistent results that can be tested and trusted. My approach would be Flutter for iOS/Android, FastAPI or Node.js for the API layer, and PostgreSQL for structured financial data. I would keep the calculation engine separate from UI and API concerns, with documented inputs/outputs, versioned rules, and automated tests covering one-time transactions, recurring date ranges, monthly/annual views, scenario comparison, and edge cases. This also keeps Phase 2 AI features safely outside the source of truth, allowing AI to explain or suggest while the deterministic engine performs the calculations. I have 20+ years in software development, 12+ years in mobile, and strong backend/database experience, which is well suited for an end-to-end MVP like this. I would deliver clean source code, regular test builds, concise technical documentation, QA/UAT support, and store submission assistance. I’d be happy to review the full RFP and align on scope, assumptions, milestones, warranty, and a practical Phase 2 path before finalizing the fixed proposal.

@DrSyafiq

For a Personal Finance & Financial Forecasting App – iOS & Android, the key is not just the screens but keeping the API and platform-specific behavior stable across devices. I've handled similar builds involving Python, Mobile App Development, Android, PostgreSQL, usually where the important part was translating the brief into a reliable working system. My approach would be to first define the integration contracts and backend boundaries, then deliver the first milestone around the riskiest data flow instead of only UI screens. For this project, I would focus especially on: - Python implementation risks and acceptance criteria - Mobile App Development integration points and edge cases - Android milestone planning and handover clarity If helpful, I can outline the first milestone around the riskiest part of the build before we start. Best, Dr. Syafiq

@starttechno

Your RFP is clear: Phase 1 must be a real financial decision foundation—not a cloned expense tracker—with an original Arabic/English mobile experience, isolated Base Plan and alternative scenarios, and forecasts that reconcile precisely to transaction rules. I will build this in Flutter for one iOS/Android codebase, FastAPI for secure APIs, and PostgreSQL for transactional integrity. The calculation engine will be a standalone, versioned domain module: it receives normalized transactions/scenario inputs and produces monthly forecast outputs for 1/3/5/10 years. One-time dates, recurrence schedules, start/end dates, balances, and scenario overlays will be covered by fixture-based unit and integration tests, making results deterministic and independently verifiable. The app will include RTL/LTR localization from onboarding through charts and tables, SAR/USD/EUR/GBP/AED formatting, managed authentication, encrypted transport, export/reset, GitHub Actions CI, and production builds with store-submission support. I recommend keeping Phase 1 focused on transaction-driven deterministic forecasts; probabilistic projections, inflation/salary sensitivity, events, and the AI assistant belong cleanly in Phase 2 as separate modules that query—not replace—the engine. I will personally lead architecture, Flutter/FastAPI implementation, documentation, and automated QA. Muhammad Saad

@zeeshan5121472

Your main requirement is a production-ready Flutter personal finance app with a deterministic forecasting engine that accurately handles transactions, recurring plans, scenarios, currencies, and 1–10 year cash-flow projections. With 9+ years of full-stack and mobile development experience, I can build Flutter + FastAPI/PostgreSQL architecture with a single, independently testable financial engine as the source of truth, including Arabic RTL/English LTR, charts, reports, authentication, exports, and automated calculation tests. I’ll deliver the complete Phase 1 MVP with production-ready iOS/Android builds, strong QA, documentation, and a scalable foundation for the future AI layer.

@tangramua

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@gotucat

Hi, I reviewed the Phase 1 RFP and I’ll build a Flutter-based iOS & Android personal finance dashboard with income/expense management, scenarios, and cash-flow forecasting using a deterministic financial calculation engine. I’ll implement secure authentication, Arabic RTL and English LTR support, SAR/USD/EUR/GBP/AED multi-currency formatting, and reusable scenario isolation/comparison logic. I’ll design the forecasting engine as the single source of truth, with independently testable calculation modules, automated calculation tests, charts/reports, and backend APIs with PostgreSQL-compatible data modeling. You’ll get clean, maintainable code, reliable MVP builds, and support through QA/UAT and App Store/Google Play submission, with a fix warranty after launch. Let’s discuss here now.

@gutibs

Hi! This is something we can handle — the stack aligns well with what we work with daily. A couple of things before I have all clear in my mind: - Is the RFP attached somewhere? I don't see it in the listing, and you mentioned pricing should be based on it. - On the forecasting engine: are the calculation rules already documented (formulas, edge cases, rounding logic), or is defining that part of the scope? - For Arabic RTL — does the UI design already exist, or does that go into Phase 1 too? On approach: we'd go Flutter for the mobile layer, FastAPI + PostgreSQL on the backend. The forecasting engine would live as an isolated, independently testable module — no shortcuts there, since it needs to carry Phase 2 without a rebuild. We'd cover App Store and Play submission as part of delivery. On budget: the Phase 1 scope as described is substantial. Depending on what the RFP adds, USD 3k–5k is tight for everything listed — I'd rather tell you that now than over-promise and under-deliver. Once I see the full RFP I can give you an honest fixed-price breakdown with milestones. Happy to keep going through the details here. Gustavo & the DoTheCode team

@shivmirthyusl

Hi, I went through your requirement carefully. The most important part I understand is not just the Flutter app, but building a deterministic and independently testable financial forecasting engine that remains the single source of truth. We can build this with Flutter + FastAPI/Python + PostgreSQL, separating the financial engine from the UI so future AI features can be added without rebuilding the core system. We also understand the importance of recurring transactions, scenario isolation/comparison, 1–10 year forecasting, RTL/LTR and automated calculation testing. One quick question: are the forecasting formulas/business rules already fully defined in the RFP, or would you expect us to help formalize them? Phase 1: ~10–12 weeks. Happy to discuss. Best, SNR

@Hubready

Hello!, This is James from Hollywood... I’ve built fintech-style apps where the real pain point is not just displaying balances, but turning messy financial data into something users can trust and act on. For your Personal Finance & Financial Forecasting app, I’d handle it in clear phases: define the core flows and forecasting rules, build a secure FastAPI + PostgreSQL backend, then deliver the iOS/Android app in Flutter with clean budgeting, cashflow, and projection screens. I’d focus on: - reliable API structure and data model - forecasting logic with clear assumptions - secure sync between mobile app and backend - simple UX so users don’t get lost in numbers - testing for accuracy and edge cases I’m very detail-oriented on finance products because small mistakes create big trust issues. If you want this done properly, I’ll treat it like a product, not just a build. Relevant work: - a personal budgeting app with forecasting and recurring expense logic - a cashflow tracker for freelancers and small businesses - a finance dashboard connected to live data APIs - a mobile planning app with alerts and goal tracking Questions: 1) What forecasting approach do you want, rule-based, trend-based, or custom? 2) Will the app use bank data, CSV imports, or manual entry first? 3) Do you already have wireframes, or should I help shape the UX from scratch? If you want, I can also outline the best MVP path before development starts.

@temoberishvili

Hello! I see you’re looking to develop a Personal Finance & Financial Forecasting App for both iOS and Android. Your main goal is to create a robust, user-friendly platform that helps users manage their finances effectively. I’ve carefully reviewed your project requirements, and I’d like to clarify a few things. Are there specific features you envision for the financial forecasting aspect? Additionally, how do you plan to handle user data security, given the sensitive nature of financial information? To ensure a smooth development process, I suggest breaking the project into phases: starting with a prototype, then moving to core functionalities, followed by user testing. I have extensive experience with similar projects, including a financial tracking app for a local startup, a budgeting tool for small businesses, and a comprehensive financial dashboard for a non-profit. I’m confident I can bring this project to life. Looking forward to your thoughts!

@mubeenm5026

With a broad understanding of Financial Technology and Personal Finance combined with immense experience in Android and Flutter, I am an ideal candidate to design your coveted personal financial management app. As the founder and project head at Web Crest, my team and I specialize in creating AI-backed applications, SaaS platforms, web & mobile applications with a meticulous focus on efficient UI/UX designs. I understand the paramount significance of absolute precision when it comes to matters of finances. This understanding propelled us to build highly robust applications. One aspect that sets us apart is our proven mastery over Flutter, the main technology stack you prefer for this project. Having developed numerous fintech applications including ones catering Arabic RTL users, we are cognizant of your audience’s diversity. Identifying cash flow fluctuations, income compositions or using what-if analyses or event-based forecasting will be implemented efficiently by our adept programmers. Moreover, considering your future plan for Phase 2 which includes advancements like AI-Financial Assistant et al; our experience with OpenAI APIs, LangChain and LangGraph will be a game-changer. You can rely on us for immediate post-launch bug fixes as we provide an extended warranty period. Given the clarity and understanding showcased in your project description, I assure you of the same degree of clarity, accuracy and diligence from our end throughout the entire project lifecycle.

@HamparProd

Hi, I’ve reviewed the Phase 1 scope, and the architectural requirement I agree with most strongly is keeping the forecasting engine deterministic and completely independent from any future AI layer. I’d build the mobile application in Flutter, with FastAPI/Python, PostgreSQL and a versioned REST API. The financial engine would be a separate domain module responsible for recurring transaction expansion, scenario isolation, monthly/annual aggregation and 1/3/5/10-year projections. The UI and future AI assistant would consume its results rather than duplicate calculation logic. I’d test the engine using fixed financial fixtures and expected outputs, including recurring boundaries, scenario isolation, date/currency edge cases and long-horizon projections. This gives Phase 2 a stable source of truth. Flutter will handle Arabic RTL and English LTR from the same codebase, with localization and directionality tested across the complete user journey. I can handle the project end-to-end through QA, production builds, store submission support, source/documentation handover and a 30-day critical bug-fix warranty. Phase 1 fixed price: $3500 USD Delivery: 42 days For Phase 2, I’d preserve the calculation engine and add AI as an interpretation/tool layer rather than allowing generated responses to become financial truth. I would scope and price Phase 2 separately after its requirements are finalized.

@Eliteinno

Hello, The critical part of this MVP is the deterministic forecasting engine, not the dashboard itself. I would keep that engine independent from Flutter and the API, with explicit financial rules, scenario isolation, and automated test cases covering recurring transactions, date boundaries, currencies, and long forecasting horizons. Flutter can then consume the same calculated results for the Arabic and English interfaces, charts, and reports without duplicating financial logic. I would structure Phase 1 around the financial engine and data model first, followed by the mobile workflows, scenario comparison, reporting, QA, and store builds. The main point I would clarify before committing to the timeline is whether currency conversion is required for forecasting or whether each financial plan operates entirely in its selected base currency. That distinction materially affects the calculation engine and data model. Have a nice day

@flapjakc

Hi, Mateo here, from Toronto, to help you. A forecasting engine only stays trustworthy long-term if it's built as an isolated, deterministic module from day one, since that's what lets Phase 2's AI layer sit on top of it later without ever touching or duplicating the actual calculation logic. You mentioned the engine must be the single source of truth and independently testable, so I'd design it as a pure calculation layer, separate from the UI and API, with automated tests validating every scenario (recurring transactions, scenario comparison, multi-horizon forecasting) against known expected outputs before any mobile screen ever calls it. I'd build the Flutter app for iOS and Android with Arabic RTL and English LTR support, Python/FastAPI backend, PostgreSQL, the full income/expense and scenario management flow, cash-flow forecasting across the four horizons, and secure auth, all documented with source code handed over, plus App Store/Play Store submission support. Could you share the attached RFP so I can align my scope, milestones, and pricing precisely with the detailed forecasting logic and acceptance criteria rather than working from the summary alone? Looking forward to working with you.

@juanpablomacf

The hardest part of this app isn’t the mobile UI; it’s making the forecasting engine deterministic enough that every scenario, chart, and report always reconciles to the same underlying financial data. I’d keep that engine completely separate from Flutter and treat it as the single source of truth. I’d build the MVP around Flutter for iOS/Android, FastAPI for the backend, PostgreSQL for transaction and scenario data, and a versioned calculation layer with automated tests for recurring transactions, date boundaries, scenario isolation, currencies, and long-term projections. This also gives Phase 2 a clean place to add AI without allowing an LLM to alter financial calculations. I’d start by defining the financial data model and calculation rules from the RFP, then implement the engine with test fixtures before connecting the dashboards. For forecasting, I’d make each transaction event reproducible and traceable so a user can see exactly why a future balance changed. Arabic RTL and English LTR would be designed into the UI from the start rather than added later. One area I’d validate early is recurring transactions crossing month/year boundaries and how scenario changes interact with the base plan. Two questions: Are the forecasting formulas/rules in the RFP fully specified, or should I help formalize them during discovery? Also, should exported data preserve the exact calculation snapshot used to generate each report? Juan Pablo

@purealmaz

Hi! This is a fantastic brief. The focus on a deterministic, independently testable forecasting engine and building an architecture ready for future AI is exactly the right approach for a scalable financial app. A quick question before scoping fully: For secure authentication, are you envisioning standard email/password and social logins (Google/Apple), or something more specific? Also, do you have a preference for cloud hosting (e.g., AWS, GCP), or are you open to recommendations? My approach would be to use your preferred Flutter for the iOS/Android apps. For the backend, I'd recommend a Node.js/Express API with a PostgreSQL database. This stack is excellent for performance, data integrity in financial transactions, and integrates smoothly with Python-based AI services for Phase 2. The forecasting engine is the critical component. I'll build it as a modular, well-documented microservice with its own comprehensive test suite. This guarantees it's deterministic and verifiable, which is non-negotiable for a financial product, and simplifies future upgrades. Philip and The SKIIE Team

@jonasdedzo

Hi there, You’re not just building a finance app—you’re building a financial decision engine users must be able to trust. I’d make that the foundation. I recommend Flutter + FastAPI + PostgreSQL, with a deterministic forecasting engine isolated from the UI and API, so every calculation is reproducible, documented, and automatically tested. I’ll deliver the complete Phase 1 MVP: income/expenses, recurring transactions, financial plans, isolated what-if scenarios, scenario comparison, 1/3/5/10-year forecasting, reports/charts, SAR/USD/EUR/GBP/AED, Arabic RTL + English LTR, secure authentication, export/reset, QA and production-ready iOS/Android builds. The architecture will be Phase-2 ready for AI without ever allowing AI to become the source of financial truth. Fixed: $5,000 | 10–12 weeks M1 $1,250: Architecture, UX, auth, database & transaction engine M2 $1,000: Forecasting engine, scenarios, dashboard & localization M3 $1,550: Automated testing, QA/UAT, deployment & documentation