I’m looking for an experienced U.S.-based Full Stack React Developer to help build a modern sports platform for high school athletics. The backend and database have already been started in Base44. I need someone who can improve the frontend, clean up the data architecture, and help scale the project. This is a long-term opportunity. Ideally, I’d like someone who can become the lead developer as the project grows.

We are seeking an elite, senior-level Full-Stack Developerto engineer a high-velocity, real-time horse racing web platform from the ground up. The core application loop revolves around a fast-paced snake draft for individual horse races, complete with an integrated, synchronized sub-second live video stream of the race. Following official track results, the platform automatically executes structured financial payouts to users using Venmo/PayPal Payout rails. The entire tech stack must be built utilizing a unified all-JavaScript environment (MERN stack) optimized to eliminate database race conditions and handle volatile real-time traffic spikes. Core Key Milestones & Project Deliverables: Milestone 1: Backend Infrastructure & User Security (15%) Set up a Node.js/Express.js application environment and establish a scalable MongoDB Atlas architecture. Implement user registration, secure JWT/bcrypt authentication, profile management, and verified phone-number registration and/or email registration. Milestone 2: Sports Data Ingestion & Automation (25%) Establish integration with a third-party commercial horse racing API (e.g., Equibase or Sportradar). Build persistent background workers (using BullMQ, Redis, or Node-Cron) to automatically ingest daily race cards, scratches, gate changes, and final official race metrics. Milestone 3: Real-Time Draft & WebRTC Video Integration (40%) Develop an interactive React.js draft dashboard utilizing Socket.io for live, synchronized state management. Implement our custom mathematical snake draft logic featuring a strict 20-second user-pick countdown timer. Build server-side automatic timeout handlers to auto-assign choices if a user disconnects or freezes. Embed an ultra-low latency HTML5 video canvas layer leveraging WebRTC (via WHIP/WHEP protocols) to ingest an RTMP stream from a media server (e.g., Ant Media or Wowza) ensuring sub-500ms video playback. Milestone 4: Venmo Payout Integration & Compliance Guardrails (20%) Seamlessly integrate the official PayPal/Venmo Payouts API to programmatically distribute money from our platform wallet directly to users' accounts and/or phone numbers. This can be worked around using a p2p format, if necessary due to compliance and regulation. Code a reliable system ledger that deducts a custom platform percentage rake prior to finalizing winner distributions. Implement an IP geo-fencing gateway (such as MaxMind GeoIP2) to block real-money contest entry from illegal jurisdictions. Technical Stack Requirements: Frontend: React.js (Next.js preferred), Tailwind CSS, Socket.io-client. Backend: Node.js, Express.js, Socket.io, Node-Cron or BullMQ.Database & Memory: MongoDB (Mongoose), Redis (for lightning-fast leaderboard and timer caching). Streaming Protocols: WebRTC, WHIP/WHEP, RTMP stream handling. Integrations: PayPal/Venmo Payouts SDK, REST/JSON Sports Data APIs, GeoIP lookup utilities. Strict Operational Code Quality Terms: 1. Repository Ownership: All codebase code and architectural modules must be pushed to our private company GitHub repository at least three times a week. Milestone releases will only be approved after clean local compilation and inspection. 2. IP Assignment: By applying for and accepting this position, you acknowledge that 100% of the developed application logic, system schemas, and code components represent a dedicated Work-for-Hire owned exclusively by the client. 3. ACID Database Transactions: You must guarantee and demonstrate via unit testing that the MongoDB schema handles marketplace swaps and concurrent drafting selections via absolute ACID Transaction Sessions to totally prevent double-spend or double-draft race conditions. To Apply, Please Answer the Following 3 Screening Questions: 1. How do you plan to structure the server environment and React architecture to keep a 30-second live countdown timer perfectly synced down to the millisecond for 4 or more different players concurrently browsing via WebSockets? 2. Please share a summary or a live link of a project you built from scratch that handled live WebRTC ultra-low-latency video delivery or complex stream handshakes. 3. What is your specific experience with financial ledger architectures? Explain how you intend to protect the MongoDB operations against multi-user transactional conflicts.

# Job post — copy/paste into Upwork (or Contra/Fiverr Pro) **Title:** Launch a finished static website on Vercel + add Stripe/Tilopay payments and intake forms (small, well-defined project) **Category:** Web Development · Full Stack **Budget:** Fixed price, per milestone (see below) — please bid per milestone **Experience level:** Intermediate–Expert --- ## Description I have a **fully built and tested** magazine/advertising website for the Costa Rica travel market (TidesRight). The design and all 23 pages are DONE — built from a completed design prototype, verified working (all pages render, popups, search, filtering, and a 4-step advertiser signup wizard). The site is plain HTML/CSS/JavaScript (precompiled React, no build step required) sitting in a private GitHub repository, ready to serve as static files. I am not technical, so I need someone who communicates clearly and can own the plumbing end-to-end. A `DEVELOPER-BRIEF.md` in the repo explains the structure, and the repo also contains the full product specs (ad package pricing, form fields, approval flow). ### Milestone 0 — Go live (small, fast) - Fix/redo the Vercel project so the site serves from the repo's `main` branch (files are already at repo root; a fresh import should work with zero config — the current project got stuck on a bad first import) - Connect my custom domain - Confirm all pages load on desktop + mobile **Deliverable:** the site live on my domain. Est. a few hours. ### Milestone 1 — Real payments + advertiser intake (the core job) The site has an advertiser flow at `advertise.html` → `package.html`: package selection → payment → intake form → "submitted for approval" confirmation. Today the payment step is a demo (no real charge). Make it real, keeping the existing look: - Wire each package to real payments — **Stripe** (or **Tilopay** if we settle to a Costa Rica bank; advise me on the right choice for my situation). Packages: Standard $29/$79/$149 per month, Real Estate $99/$399/$899 per month (annual = 2 months free), plus a one-time SEO add-on from $49 - After successful payment, the advertiser fills the intake form (existing fields); submissions must be **saved** (database or a form service like Tally/Jotform) and **emailed to me** with the payment reference - I approve by replying/clicking; nothing goes live automatically - Failed/abandoned payments must not reach the form step **Deliverable:** I can watch a real test payment land and receive the intake submission. Est. 2–4 days. ### Milestone 2 (optional, later) — Admin dashboard Approval dashboard, auto-publish of approved ads, subscription management. Scope after M1 ships. ## What you get from me - Private GitHub repo access: finished site (`main`), full source + design-spec documents (`source` branch), `DEVELOPER-BRIEF.md` - Vercel account access (this project only), domain registrar access, and fast decisions ## Requirements - Shipped at least one real Stripe (or similar) payment integration — link me an example - Comfortable with static sites / vanilla JS (the site is precompiled React — no framework build needed; do NOT rebuild it) - Plain-English communication with a non-technical owner - Timezone overlap with Americas preferred ## To apply, answer these 3 questions 1. Link to a payment flow you built (live if possible). What did you use — Stripe Checkout, Payment Links, or custom? 2. For Milestone 1, would you recommend Stripe Payment Links + a form service, or a small custom backend? Why, in 3 sentences. 3. Your fixed price and turnaround for Milestone 0 and Milestone 1 separately. **Important:** the design is final. This job is plumbing (hosting, payments, forms, email) — not redesign, not a rebuild. Bids proposing to rebuild the site in another framework will be declined.

We're building a confidential, AI-native operating system for high-volume plaintiff-side litigation. This is not a generic legal chatbot. It's an operating system for litigation operations — and we already have a live law firm as the proving ground, a working visual prototype, a pitch deck, and a near-term demo deadline. We need a senior full-stack engineer who can take an existing prototype, schemas, prompts, and workflow package and turn it into a secure working demo, then a production-track MVP. The right person thinks like a product architect, engineer, and security operator at once — fast, but disciplined with confidential legal data. Required: React/Next.js, TypeScript, Node or Python/FastAPI, PostgreSQL, auth and role-based access control, OpenAI or comparable LLM APIs, structured JSON/schema outputs, secure file handling, PDF/export generation, GitHub workflows, and strong security discipline. Strong plus: Legaltech, plaintiff-side litigation, case management systems (Filevine, Litify, Clio, Salesforce, HighLevel), RAG/document extraction, audit logging, and SOC 2 / PII / regulated-data experience. Ground rules: NDA required. No public repos. No real client data in the demo — sanitized data only. No API keys in browser code. No external sharing or deployment without approval. First deliverable: A build-readiness report identifying what's mock, what's reusable, and what needs rebuilding, plus architecture, security risks, database plan, API integration path, and a 7–30 day build roadmap. The path: Paid 7-day build-readiness sprint → 30-day demo sprint → longer-term technical lead / founding engineer discussion. To apply, please include: A short note on why you're right for this project 2–3 relevant products you've built (links) GitHub or code samples, if available Your availability for a 7-day build-readiness sprint Your hourly rate, fixed sprint price, or contract-to-hire preference Remote acceptable. U.S.-based preferred; South Florida a plus.

Forum Intelligence: Project Brief & Initial Rollout 1. Executive Summary & Objective Forum Intelligence is a beginning as a localized data retrieval, processing, and archiving system designed to scrape public municipal records and state legislative data for public oversight. The immediate objective is to build a functional, highly resilient prototype focused on the Tri-Cities region (Burbank, Glendale, and Pasadena, California). The system will autonomously ingest messy, unstructured municipal data (City Council meeting minutes, agendas, public notices, and legislative PDF text, recorded mp4), clean it, and make it fully searchable and queryable via a localized AI agentic framework. 2. Phase 1 Scope: The Tri-Cities Rollout Th engineer will be responsible for building two primary pillars: A. Resilient Scraper Bots • Target Ingestion: Monitor and pull data from Burbank, Glendale, and Pasadena municipal portals and California legislative feeds. • Data Types: Brittle HTML sites, heavily nested tables, public notices, legislative drafts, and massive unstructured PDF archives. • Requirements: The scraping architecture must be exceptionally robust, utilizing intelligent error handling, retry semantics, and pagination tracking to handle frequent municipal website layout changes without breaking the pipeline. B. Ingestion & Vector Pipeline • Parsing: Extracting clean text from poorly formatted documents and scanned PDFs. • Local RAG (Retrieval-Augmented Generation): Chunking and embedding the data locally into a vector database (e.g., pgvector, Chroma, or Milvus) to enable semantically accurate entity linking and contextual search. 3. Targeted Hardware Stack To ensure maximum data security, strict public oversight integrity, and predictable operational costs, Forum Intelligence is skipping commercial cloud APIs in favor of an on-premise, localized NVIDIA enterprise deployment. The production roadmap aligns precisely with the new computing patterns detailed in NVIDIA’s latest hardware roadmap: • Inference & Token Generation: Running local open-weight frontier models (e.g., Neotron 3 Ultra or Claude/Llama equivalents) optimized for reasoning and long-context tool use. • Compute & Orchestration: The backend infrastructure is architected around NVIDIA’s dedicated agentic architecture, utilizing high-instructions-per-clock (IPC) Vera CPUs paired with Vera Rubin GPUs. • Memory & Storage Processing: Utilizing NVIDIA’s unified memory fabric and data processing units (DPUs) for ultra-low latency context management, KV caching, and fast vector database retrieval. 4. Immediate Milestones for the Engineer 1. Architecture Design: Map out the database schema and local inference ingestion loop. 2. Tri-Cities Scraper Deployment: Write and deploy the initial automated bots for Burbank, Glendale, and Pasadena. 3. Local MVP Pipeline: Demonstrate a local RAG pipeline where a user can query the Tri-Cities scraped records and receive grounded answers with exact source attributions. The above was AI generated from months long conversations with Gemini. The goal is to prove the concept then roll out to LA County, state of CA, and then the country.

Summary: We are building Sphere Inc., an AI-powered SaaS platform focused on the real estate industry. The product is currently in the MVP stage, and we are looking for a strong full-stack developer who can help us build, refine, and launch the first working version. The platform is designed to help real estate businesses automate daily operations, improve decision-making, and use AI agents to support workflows such as property management, lead handling, deal analysis, document processing, reporting, and business automation. This is not a basic website project. We are building a real SaaS product with a modern frontend, reliable backend, AI-powered workflows, and scalable AWS infrastructure. Current Project Status: The product vision and core direction are already defined. We are currently shaping the MVP workflows, user experience, and technical structure. At this stage, our main need is execution. We need someone who can help turn the concept into a working MVP that can be tested with real users. Some workflows are still being refined, so we are looking for a developer who can contribute both technically and practically — not just write code from fixed tickets. Current Progress & Bottlenecks We have a clear direction, but need support with - Structuring the MVP architecture - Building the frontend and backend features - Designing practical AI agent workflows - Connecting AI features with real estate data and user actions - Setting up AWS infrastructure for development and deployment - Creating a clean experience for non-technical business users - Prioritizing the most important MVP features The main bottleneck right now is moving from concept/prototype stage into a stable, usable product. We are looking for someone who has experience with - Building SaaS products from MVP to production - Full-stack development with Python, Node.js, JavaScript, and TypeScript - Frontend development using React, Next.js, or similar frameworks - Backend APIs, database design, authentication, and user roles - AI agents, LLM integrations, workflow automation, or RAG - AWS deployment, storage, monitoring, and security - Real estate platforms, CRMs, property data, document workflows, reporting, or automation tools - Writing clean, maintainable, and scalable code Tech Stack: Python, Node.js, JavaScript/TypeScript, React or Next.js, PostgreSQL, AWS, REST APIs, and AI/LLM tools such as OpenAI, Anthropic, AWS Bedrock, LangChain, LangGraph, or similar frameworks. Responsibilities: - Build frontend and backend features for the MVP - Design and implement AI-powered workflows and agent features - Connect APIs, databases, authentication, and user roles - Set up or improve AWS infrastructure - Help prioritize features and identify technical risks - Communicate progress clearly and regularly Some Knowledge That Is a Plus: - Real estate CRM, property management, brokerage, acquisitions, or leasing platform experience - AWS Bedrock, LangChain, LangGraph, or vector databases - Multi-tenant SaaS architecture - Stripe or subscription billing - DevOps, Docker, CI/CD, and testing - Analytics dashboards, reporting tools, or document automation The ideal candidate is a reliable full-stack developer who can work independently, understand the product vision, ask smart questions, and help us make practical technical decisions during the MVP stage. We need someone who is comfortable in an early-stage environment and can help turn a clear idea into a working SaaS product for real estate users. Please include: 1. Your GitHub, portfolio, or examples of previous work 2. A brief description of your related SaaS experience 3. Examples of AI agent, AI automation, or LLM-powered products you have built 4. Your AWS experience 5. Any real estate platform, CRM, data, or automation experience 6. Your availability and preferred working style We are looking for someone who can help us build the MVP now and potentially continue with us as the platform grows.

Sphere Inc. is building a new AI-powered SaaS platform for the U.S. healthcare industry. We're looking for a senior engineer who enjoys building products from scratch, making technical decisions, and shipping production-quality software. This is an MVP that will quickly transition into production, so we're looking for someone who is comfortable owning architecture, development, deployment, and AI integration. We're developing a HIPAA-compliant Care Coordination Platform that helps physicians, nurses, and care coordinators manage chronic care patients more efficiently. A patient with diabetes and hypertension visits a primary care clinic. Instead of manually reviewing hundreds of pages of clinical notes, lab results, discharge summaries, and specialist referrals, the provider uploads the patient's records. The AI platform will: - Extract structured medical information from uploaded documents - Generate concise clinical summaries - Highlight medication conflicts and missing follow-ups - Detect abnormal lab trends - Recommend preventive care actions based on clinical guidelines - Generate visit notes and patient-friendly summaries - Allow physicians to approve, edit, or reject AI-generated recommendations - Maintain complete audit trails for HIPAA compliance The system must never expose PHI to unauthorized users and must meet healthcare security best practices. You'll work directly with our founders to design and build the MVP. Responsibilities include: - Design scalable backend architecture - Develop responsive React/Next.js frontend - Build secure REST APIs - Integrate OpenAI, Anthropic, or Azure OpenAI - Implement Retrieval-Augmented Generation (RAG) - Build document ingestion pipelines - Implement vector search - Build role-based access control - Design PostgreSQL database schema - Implement authentication and authorization - Deploy production infrastructure on AWS or Azure - Write automated tests - Optimize AI performance and costs Candidates should understand: - HIPAA Security Rule - PHI handling - Encryption at rest and in transit - Audit logging - Role-based permissions - Secure cloud architecture - Least-privilege access - Secrets management - BAA-aware cloud services Previous healthcare or medical SaaS experience is highly preferred. To Apply Please include the following in your proposal: - Links to recent AI SaaS or healthcare projects - Your GitHub profile - A brief description of your HIPAA or healthcare experience - 5–10 minute Loom video walkthrough of a HIPAA-compliant AI or SaaS project you personally built, highlighting the architecture, technical decisions, and your specific contributions.

## Project at a Glance - Project stage: Partially built; bootstrapped project where efficiency, speed, cost, and lean execution matter. - Expected project duration: Approximately 1 to 2 months. - Engagement type: Independent contractor / hourly engagement only. - Scale target: The app should be architected with future growth in mind, including a target capacity of 80,000+ monthly active users with reasonable headroom to scale without avoidable rework, security degradation, or performance issues. - Security posture: SOC 2 readiness should be considered from day one; certification may occur later. - Meetings: One weekly video sync of up to 60 minutes may be scheduled by mutual agreement and should be accounted for in the contractor’s proposed budget. ## Overview We are building a production-grade, multi-tenant SaaS web application designed for enterprise-level scale, security, and reliability. The application may handle employee data and is being built with SOC 2 readiness in mind from day one. This is a bootstrapped project. Speed and lean execution are critical, and every decision should balance quality with pragmatism. The product is being designed to last, scale, and withstand technical, security, and operational scrutiny. We are seeking a U.S.-based individual senior full-stack engineer who can personally lead the web app development scope through production-ready implementation, end to end. No outsourcing outside the U.S. No agencies. ## Technology Stack - Front-end: Next.js App Router, TypeScript, Tailwind CSS - Backend / API: Next.js API Routes, Supabase Edge Functions, FastAPI / Python - Database: Supabase PostgreSQL - Authentication: Supabase Auth, OAuth, SSO, MFA - Authorization: RLS / Row-Level Security, RBAC - Realtime: Supabase Realtime - LLM / AI: OpenAI / Anthropic / Gemini-compatible LLMs - Billing: Polar.sh - HRIS Integration: Unified third-party connector - Email Delivery: Resend - Analytics: PostHog - Error Monitoring: Sentry - Infrastructure: Vercel + Supabase - CI/CD: GitHub Actions - Testing: Vitest / Jest, Playwright - AI Agents: Agentic workflows, tool use, and related architecture - MCP Integrations: MCPs for ChatGPT, Claude, Gemini, or similar environments - Additional technologies may be used. ## What We Are Looking For - Experienced full-stack SaaS product engineer with a strong, verifiable portfolio - Deep expertise in Next.js and TypeScript - Production-grade Supabase experience, including RLS, Realtime, and Edge Functions - Python back-end development experience with LLM integration, including RAG pipelines, memory, or fine-tuning workflows - Experience implementing subscription lifecycle flows and seat-based access control end to end - A genuine standard for clean, well-organized, maintainable code - Demonstrated ability to design systems that can scale horizontally without structural rework - Demonstrated ability to work efficiently in a lean, bootstrapped environment - Security-first development practices, especially when handling sensitive or regulated data - Clear, prompt professional communication - Experience building AI agents or agentic workflows - Experience building MCP integrations for ChatGPT, Claude, Gemini, or similar platforms - Experience designing hierarchical multi-tenant account structures with seat-based access control ## Strongly Preferred - Hands-on experience building RAG pipelines and LLM fine-tuning workflows in production - Experience handling employee or HR data, including PII access controls, audit trails, and data residency considerations - Experience building toward SOC 2 readiness in a prior engagement - HRIS or enterprise HR system integration experience - Familiarity with OWASP, NIST CSF, or CIS Controls ## This application is being built to last and may handle sensitive employee data. We are looking for an engineer who takes code quality, data responsibility, lean execution, and long-term system health seriously. ## Please answer all 5 screening questions in your response. ## Communication - Contractor should identify normal availability windows and provide timely responses, generally within one business day during those agreed availability windows. - Day-to-day communication will generally be async through the applicable platform or contract workroom. - One weekly video sync of up to 60 minutes may be scheduled by mutual agreement for status updates, completed-work summaries, blockers, and upcoming priorities. Contractor should account for this meeting time in the proposed hourly rate or budget. - Pre-engagement sales, proposal, or introductory scoping discussions are not billable. ## Confidentiality and IP Project details are shared only after the client’s NDA is executed. If both parties decide to move forward, a separate IP Assignment Agreement is required before any offer is accepted or substantive work begins. This is an independent contractor / hourly engagement only and does not include full-time employment, salary, benefits, equity, revenue share, product ownership, or any ongoing engagement beyond the agreed scope.

Project Overview I’m launching a multi‑product SaaS platform and need a UI Finisher who can jump into an existing Next.js + Tailwind + shadcn/ui codebase and deliver pixel‑perfect UI updates based on Base44 designs. This is a precision frontend implementation role — not design, not full‑stack, not a rebuild. You’ll be working directly in the codebase to finalize hero sections, pricing cards, routing behavior, and OAuth UI polish. What You’ll Work On • Pixel‑perfect hero section implementation • Pricing card layout + responsive behavior • Navigation + product domain routing fixes • OAuth button + callback UI polish • shadcn/ui component cleanup (spacing, variants, tokens) • Matching Base44 designs exactly Tech Stack Requirements • React • Next.js (App Router) • Tailwind CSS • shadcn/ui • TypeScript Nice to Have • Experience with Base44 or similar design systems • Strong eye for detail + responsive polish • Ability to work fast in tight iteration loops Deliverables • Hero parity • Pricing card alignment • Routing corrections • OAuth callback polish • Component cleanup Timeline Immediate start. Estimated 6–12 hours of work for the right person. To Apply, Answer These 3 Questions Share a link to a project where you implemented UI in Next.js + Tailwind + shadcn/ui. What’s your workflow for achieving pixel‑perfect fidelity from Figma/Base44? How many hours do you estimate for the scope above?

We are building a next-generation workflow automation platform that combines deterministic business rules, artificial intelligence, document intelligence, and human review workflows into a single operating system. This is not a traditional CRM project. Our vision is to develop a doctrine-driven platform where business rules serve as the system authority, AI serves as an analytical and drafting layer, and human reviewers serve as the final compliance checkpoint. We are seeking an experienced engineer or engineering partner who can help architect and build the platform from the ground up. Project Objectives The platform will: • Ingest and analyze large volumes of structured and unstructured documents • Extract data from reports, PDFs, and supporting documentation • Apply rule-based workflow logic • Generate AI-assisted recommendations and draft outputs • Maintain complete audit trails and workflow transparency • Route work through human review checkpoints • Support future deployment of local AI infrastructure for privacy and performance Core Architecture The system will be built around four primary layers: 1. Rules Engine * Deterministic business logic * Workflow orchestration * State management * Trigger and escalation logic * Audit tracking 2. AI Layer * Document analysis * Classification * Pattern detection * Summarization * Draft generation * Structured outputs 3. Local Processing Layer * OCR * Document parsing * Data extraction * Vector search * Local inference capabilities * Privacy-first processing 4. Human Review Layer * Quality assurance * Workflow approvals * Compliance review * Exception handling Initial Development Priorities Phase 1 • User authentication • Client record management • Document upload system • OCR and document extraction • Workflow engine • Rule-based status management • Review dashboard Phase 2 • AI-powered document analysis • Automated classification • Recommendation engine • Draft generation workflows • Response parsing Phase 3 • Local AI infrastructure • Vector database integration • Knowledge retrieval system • Multi-agent workflow orchestration • Advanced automation Desired Technical Experience Required • React / Next.js • Node.js, Python, or similar backend framework • PostgreSQL or equivalent relational database • REST APIs • Cloud infrastructure (AWS, Azure, or GCP) • Workflow automation systems • Document processing pipelines Preferred • OpenAI APIs • Anthropic APIs • Retrieval-Augmented Generation (RAG) • LangGraph, LangChain, or similar frameworks • Vector databases • OCR technologies • AI agent architectures • NVIDIA AI ecosystem • Local model deployment What We Are Looking For We are not looking for someone who simply builds forms and dashboards. We are looking for a builder who understands how to combine: • Rules engines • Artificial intelligence • Workflow automation • Human review systems • Scalable software architecture The ideal candidate enjoys solving complex business process problems and translating expert decision-making into software systems. Engagement Structure Open to: • Fractional CTO • Lead Architect • Senior Full-Stack Engineer • AI Systems Engineer • Development Agency • Long-term strategic technology partner To Apply Please provide: • Relevant project examples • Experience building workflow automation platforms • Experience with AI-powered applications • Technology stack recommendations • Estimated availability • Preferred engagement structure