I'm building "Autopilot My Brand" a multi-client SaaS platform that automates personal branding by scheduling and auto-posting content to social media for multiple users/clients. Looking for an experienced developer with real multi-tenant SaaS experience. I want to launch in phases: a lean Phase 1 MVP first, then expand. Phase 1 (target: 1-3 months) core MVP: -User signup/login and per-client dashboard (basic multi-tenant setup isolated accounts/data) -Connect social accounts via OAuth, starting with 1-2 platforms (Instagram + TikTok, or your recommendation) -Upload/input content (text, image, video) and schedule posts -Auto-posting engine that publishes on schedule via the platform API(s) -Basic paid signup/access (simple Stripe integration doesn't need to be a full billing system yet) Phase 2 (later, scope/timeline TBD based on Phase 1 results): -Additional platforms (LinkedIn, X) -Full subscription/billing system with plans, upgrades, cancellations -Admin panel for me to oversee all client accounts -Expanded analytics per client What I'd like from you in your proposal: -Your experience building multi-tenant SaaS products (not just single-user apps) please share examples -Relevant experience with social media API integrations (Meta/Instagram Graph API, TikTok API), since platform approval/rate limits are often the biggest bottleneck -Experience integrating Stripe or similar payment systems -Your recommended approach (framework/stack) and why -Your estimated timeline and cost for Phase 1 specifically, quality and the right experience matter

We have built a functional demo/prototype of a Leave of Absence Case Management Portal in Replit and are looking for an experienced SaaS developer to help us productionize and deploy it on AWS. The platform is designed for employers to manage employee leave requests, documentation, approvals, and case workflows. Current prototype includes: • Employee leave intake portal • Manager and HR dashboards • File upload capabilities • Leave status tracking • Intermittent leave reporting • Extensions and renewals • Employee data feed integration (HRIS file feeds) • Role-based workflows We need someone to: • Review the current Replit codebase and deployment files • Assess architecture for scalability and security • Rebuild/refactor where necessary for production readiness • Deploy to AWS (best architecture recommendations welcomed) • Set up authentication and user roles • Secure document storage • Configure database structure • Build audit trail/logging • Implement API integrations for HRIS file imports • Establish CI/CD pipeline • Advise on SaaS multi-tenant architecture for future clients Ideal experience: • SaaS application architecture • AWS (Lambda, RDS, S3, Cognito, API Gateway, ECS, or similar) • HIPAA/SOC2 compliant architecture preferred • Secure file handling/document storage • Workflow/case management systems • HR tech or leave management experience is a plus Please include examples of similar SaaS platforms you have built and explain your approach to taking a prototype to production.

We are looking for 2-3 AI engineers/developers to help us build/complete an AI go-to-market (GTM) tool that looks at both structured and unstructured data, runs it all through our AI engine, and provides insights and recommendations straight to sales people. The tool is able to handle large volumes of data and provide actionable insights for business decision-making. Our engine consists of a prioritization algorithm, pattern matching and sentiment analysis. We use our recommendation engine to deliver the output (insights) straight to our tool which is "Apple-simple", intuitive and gamified. No more sales time wasted on looking at dashboards and trying to agree on which insights are important and which should be acted on. What you'll do Own features end-to-end across theFastAPI backend (IEngine) and Next.js 15 / React 19 frontend— from Claude prompt design to UI polish. Extend the intelligence pipeline: meeting ingestion (Google Drive + Deepgram realtime), Claude-driven action card generation, Neo4j relationship graph, and Supabase-backed state. Build customer-facing dashboard surfaces — deals, gamification, coaching, trust graph — with TypeScript, Tailwind, shadcn/ui, and D3. Operate WebSocket transcription sessions and async job pipelines reliably under real meeting load. Instrument with Sentry, harden auth (NextAuth :left_right_arrow: JWT :left_right_arrow: FastAPI service-to-service), and keep deploy pipelines green. Build with simulators: when you can't test against live meetings, generate realistic synthetic transcripts through our simulator service. Stack you'll work in Backend: Python 3.11, FastAPI, Uvicorn, PyJWT, Anthropic SDK, Deepgram, Neo4j, Supabase (Postgres + realtime), WebSockets Frontend: TypeScript, Next.js 15 (App Router), React 19, NextAuth 5, Tailwind, shadcn/ui, D3, Stripe Infra: Fly.io, GitHub Actions, Sentry, Supabase AI: Claude (Opus/Sonnet) for transcript analysis, action card generation, and agentic dev workflows What we're looking for 4+ years building production web applications, ideally across Python and TypeScript. Comfort designing and shipping features against an LLM API — prompt iteration, structured outputs, evals, cost/latency tradeoffs. Real Claude or OpenAI production experience required. Experience with multi-tenant SaaS patterns, JWT auth, and one or more of: graph databases, realtime systems, audio/transcription pipelines. Comfort with AI-assisted development workflows (Claude Code, Cursor, etc.) — not just as a code-completion tool, but as a way to plan and ship features. Bias toward shipping. Small surface area, high ownership, no committee.

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.