We are seeking an experienced developer to create a mobile app for both Apple and Android platforms. The ideal candidate will have a strong background in mobile app development, with the ability to design, develop, and deploy apps on the App Store. Responsibilities include developing user-friendly interfaces, ensuring app stability, and collaborating with our team to meet project goals. Looking to integrate pictures and videos to YouTube channel with preset settings. NDA required. Job Title: iOS & Android App Developer – Branded Fan Video Submission App (Fast Car Geek) Project Type: Fixed Price Project Scope: Large Duration: 3–6 months estimated Project Overview Fast Car Geek (youtube.com/@FastCarGeek) is a 239,000-subscriber YouTube automotive channel based in Sedona, Arizona. We are looking for an experienced mobile app developer to design, build, and submit a fully branded fan video submission app to both the Apple App Store and Google Play Store. The app will allow subscribers to film or upload car videos from their phones and submit them directly to our team for potential feature on the Fast Car Geek YouTube channel. Core Features Required User-Facing (Subscriber Side) Fast Car Geek branded UI (logo, colors, fonts provided) In-app video recording OR video upload from camera roll Submission form: submitter name, car year/make/model, city/state, brief description Mandatory Terms & Content License Agreement checkbox (must be accepted before submission can be sent) Confirmation screen and email receipt upon successful submission Push notification capability (for status updates: received / selected / featured) Admin-Facing (Our Side) Secure web-based admin dashboard View, preview, download, approve, or reject submissions Tag submissions by status (pending / approved / featured / declined) Basic search and filter (by date, car type, location) Storage solution for submitted video files (cloud-based, scalable) Technical Requirements Native iOS & Android OR cross-platform (React Native or Flutter acceptable — please specify your preferred stack and justify) App Store submission (Apple App Store + Google Play) Cloud video storage integration (AWS S3, Firebase, or equivalent) Secure user authentication (email sign-up or social login) Compliance with Apple App Store and Google Play content guidelines Scalable to handle up to 10,000 registered users at launch Deliverables Full source code (transferred to client upon final payment) iOS build submitted to Apple App Store Android build submitted to Google Play Store Admin dashboard (web-based) Basic user/admin documentation 30-day post-launch bug support Content Rights & Submission Agreement Language (Draft — requires attorney review before implementation) By submitting video content through this application, you ("Submitter") grant Fast Car Geek and its owner(s) a perpetual, royalty-free, worldwide, non-exclusive license to use, reproduce, edit, display, distribute, and publish the submitted video content across all platforms and media, including but not limited to YouTube, social media, and promotional materials. You represent and warrant that you are the sole owner of the submitted content and that it does not infringe upon the intellectual property, privacy, or other rights of any third party. Fast Car Geek reserves the right to accept or decline any submission at its sole discretion. Submission of content does not guarantee feature, compensation, or credit. ⚠️ Flag for your attorney: Have this reviewed before the app goes live. You specifically want coverage for: IP ownership, minor privacy (if any submitters are under 18), release/waiver language, and CCPA/GDPR compliance if you collect user data. What We're Looking For Portfolio of 2+ published iOS/Android apps (links required) Experience with video upload and cloud storage integrations App Store submission experience (both Apple and Google) Strong communication — we need milestone updates, not silence Ability to provide a phased project plan with clear milestones Budget & Proposals Please include in your proposal: Your recommended tech stack and why Estimated timeline broken into phases Your fixed-price bid OR milestone-based pricing structure Links to relevant prior work.

## 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.

ABOUT THE PROJECT I’m building a premium concierge matchmaking service that connects people through a thoughtful, human-curated process. This isn’t a swipe-based app or a subscription platform. It’s a carefully designed member experience where real people are matched by hand and meet in person. I’m looking for a developer who wants to build something meaningful from the ground up. The product is entirely digital but deeply human, and the person building it should care about both of those things. The project has a well-defined scope, a detailed brief, and a founder who has done the strategic and operational thinking upfront so you’re not figuring out requirements as you go. This is a founder-budgeted project, not a corporate one. I’m looking for someone who uses every tool available to work efficiently and deliver a production-ready build at a price that reflects a smart, modern development workflow rather than traditional hourly rates on a blank canvas. If you’ve developed a system for using AI coding tools intelligently as part of your process, I want to hear about it. WHAT YOU’LL BUILD A custom web application handling the full member journey from first click to post-meetup follow-through. The core components: Marketing site with clean, branded design (style guide and brand assets provided) Member application flow covering account creation, email verification, terms acceptance, payment collection, identity verification, intake survey, and confirmation screens Stripe Payments integration for two separate fee collections at different points in the member journey Stripe Identity integration for government ID scan and liveness verification, which is a safety feature core to the product Twilio integration for phone OTP verification and outbound SMS communications throughout the member journey Member database storing intake responses, verification status, match pairings, and journey history Admin dashboard for the founder to manage members, view pipeline status, track match confirmations, and receive operational notifications when key events occur Automated logic for time-sensitive business rules including a 48-hour confirmation window with conditional branching and a 7-day rematch guarantee with automatic Stripe refund trigger Resume flow for members who drop off mid-application Referral program integration Post-meetup feedback survey with conditional contact exchange logic and safety flag escalation to the founder THE TECH I’m looking for a Node.js developer who is comfortable working across the full stack. Beyond that I don’t prescribe the approach. If you have a preferred framework, database, or architecture that fits this scope and lets you work efficiently, make the case for it in your proposal. I’m open to AI-assisted development workflows. If you’ve trained or refined how you use AI coding tools and know how to validate, own, and implement the output at a production level, that’s a genuine asset on a project like this. What I care about is that you bring real expertise to every decision the AI can’t make for you, including security, data handling, edge cases, and the integrations that require deep API knowledge. Smart use of available tools is part of how we get to a founder-friendly budget without cutting corners on quality. WHAT I’M LOOKING FOR Solid full stack experience with Node.js. This is a production application handling payments and biometric identity data, not a first project. Demonstrated experience with Stripe API integrations. Stripe Identity experience specifically is a strong plus and worth calling out in your proposal. Experience with Twilio or comparable SMS and verification APIs. Comfort building member-facing web applications with authentication, gated content, and user-specific flows. A security-conscious mindset. You understand that handling government ID scans, liveness data, and payment information carries real responsibility and you build accordingly. Clear communication skills. You’ll be working directly with a non-technical founder and explaining what you’ve built in plain language is part of the job. Ability to document your work thoroughly. Loom walkthroughs and written technical documentation are required deliverables, not optional extras. A modern, efficient approach to development. Whether that means AI tooling, well-chosen frameworks, reusable components, or a workflow you’ve refined over time, I want someone who works smart and can speak honestly to how they arrive at their pricing. ENGAGEMENT STRUCTURE Initial build: fixed price project. Please provide your estimate based on the scope above. I have a realistic founder budget and I’m not looking for the lowest bid. I’m looking for someone who builds things that work reliably, takes pride in the craft, and uses a smart efficient workflow to make the numbers work for both of us. Ongoing retainer: after launch I’d like to keep you on a light monthly retainer for maintenance, monitoring, and occasional additions as the business grows. Scope and rate to be discussed before project close. CODE OWNERSHIP All code, design, and intellectual property produced during this engagement transfers fully and exclusively to me upon payment. You retain no ownership, licensing rights, or claim to any part of the codebase, design assets, or documentation produced for this project. This is non-negotiable and will be reflected in our written contract before work begins.

Senior Full Stack Developer — AI Platform Hardening (Trial-to-Hire) HillDave Labs builds an AI-driven platform for ad content and media buying, backed by 30 years of Fortune 500 production experience (Coca-Cola, PepsiCo, Microsoft, Disney). We're a lean, founder-led team of two heading toward a self-serve platform for brands and agencies. The platform works today but is fragile in places. We need a senior engineer to take ownership, fix what's brittle, and bring real engineering rigor before we open it to self-serve users at scale. Starts as contract work with a path to full-time once we see strong fit. What you'll do: Audit the codebase and fix the highest-risk fragility Harden core modules for reliable multi-user use Own architecture as we shift toward a self-serve product Work directly with founders, no layers What we need: Senior full stack experience, front-end to database Proven record stabilizing existing codebases Strong communicator US time zone, fluent English, real-time availability Comfortable with startup ambiguity and pace Engagement: 25-30 hrs/week, $85-95/hr, 8-12 week trial. Strong fit leads to full-time with salary, equity, and benefits. To apply: describe a time you inherited a messy codebase and made it trustworthy. What did you prioritize? Include your time zone and rate.

Immediate project: • Integrate a standalone HTML demo (a risk-indicators dashboard) into the main Next.js app • Restyle the integrated demo to visually match the existing landing page (typography, color, spacing, components) • Use static or mocked data for the dashboard views — this does not need to be wired to live Supabase data for this phase • UI consistency pass limited to the demo-facing pages a prospect would see in a live walkthrough (not the full app) • Deliver a clean, working build deployed on Vercel, ready for live demo use Timeline: Targeting completion within 2–3 weeks — this supports an active sales conversation, so reliability and responsiveness matter. Possible follow-on work (separate scope, hourly): • Wiring the dashboard demo to live Supabase data • Bug fixes and feature requests • Periodic maintenance, including an upcoming Supabase policy/security deadline • Ongoing point of contact for a non-technical founder

Summary Senior Full-Stack Developer with experience in JavaScript, python, nodeJS, php.

 We are building a multi-tenant AI-powered marketing operating system for SMBs. 

This is NOT an autonomous AI agent project.

 The platform uses deterministic workflow orchestration enhanced with AI services for:

* content generation,
* approvals,
* publishing,
* engagement analysis,
* brand-style learning,
* multi-platform social posting, * social media campaign.

 We need a senior engineer who understands production SaaS architecture, workflow reliability, API integrations, queues/retries, and AI integrations.

 REQUIRED EXPERIENCE:

* Multi-tenant SaaS applications
* Queue/retry systems
* Webhook reliability
* Idempotency / duplicate prevention
* API integrations (multiple social media platforms)
* Structured AI outputs (JSON schema validation)
* Background jobs / async workflows
* Production-grade backend architecture

 YOU SHOULD UNDERSTAND

* deterministic workflow orchestration,
* retries/backoff,
* distributed locks,
* tenant isolation,
* workflow state management,
* structured AI pipelines,
* cost governance,
* approval workflows.

 DO NOT APPLY IF YOUR EXPERIENCE IS MOSTLY:

* autonomous AI agents,
* chatbot-only projects,
* prompt engineering only,
* no backend SaaS experience.

 Project Scope:

* starting with 50 concurrent clients
* AI-generated social content
* approval-gated publishing
* multi-platform posting
* adaptive brand memory
* analytics + engagement tracking * paid social media campaigns

 To apply, please provide:

 1. Relevant SaaS/backend projects
 2. Experience with OpenAI structured outputs
3. Your preferred architecture approach for scalable workflow systems

We're seeking an experienced developer or agency to create a premium, modern website for a subscription-based platform. The project involves integrating AI technologies with Next.js to enhance user experience. The ideal candidate will have a strong background in web development and a keen eye for design.

Full-Stack Developer — EdTech Subscription Platform (Next.js + Supabase) · USA Only Overview I am building a production-grade subscription learning platform for students and parents. A complete BRD is available under NDA after initial screening. Looking for a skilled US-based developer or small team who can deliver a polished, secure, scalable product. Tech Stack (Non-Negotiable) Next.js 14 (App Router) · TypeScript strict · Tailwind CSS · Supabase (PostgreSQL + Auth + Storage) · Stripe Billing + Stripe Tax · Vercel · PostHog (self-hosted) · Resend · PDF.js WordPress, PHP, and MySQL are explicitly prohibited. Core Deliverables 1. COPPA-compliant parent-child account system — parental consent flow, 1+ child profiles per account, post-login profile picker, parent dashboard with billing and data rights controls. 2. Public marketing site — homepage, pricing, blog, FAQ, contact, and supporting pages. Full SEO, Core Web Vitals compliant, fully responsive. 3. Subscription billing — Stripe Billing + Stripe Tax, PayPal secondary, free trial, promo codes, dunning, all admin-managed without code changes. 4. Secure content library — in-browser PDF viewer, server-side dynamic watermarking, multi-filter search, favorites, download counter. 5. Educational games integration. 6. CMS and admin panel — two roles (Moderator, Super Admin), full content and subscriber management, promo codes, analytics, editable email templates. What I Provide Complete BRD (under NDA) · brand assets · all content files · all third-party service accounts · attorney-reviewed legal text before launch. What I Expect From You US-based — required Excellent understanding of COPPA compliance Full source code to my private GitHub — I retain full ownership No vendor lock-in, no proprietary frameworks Prior subscription SaaS or edtech experience preferred Fixed-price or milestone-based quote with breakdown To Apply Relevant work samples (Next.js + Supabase preferred) Estimated timeline for full scope Fixed price or milestone breakdown Confirmation you are US-based Short, specific proposals only. Generic bids will not receive a response.

I already have the backend up and running, as well as an AI generated front end. I want to take my frontend design to the next level, which I just can't seem to get AI to do. I am absolutely horrible and also have 0 interest in designing things. What I need from you: - Take my rough draft generated by AI and turn it into something way better, including all functionality that AI has already introduced, just looking way, way better. - Backend is already done. You're just responsible for making the design look good. - If you have backend experience, this could become very lucrative for you. While I am a hobby developer, I am not an expert. At some point, I will need/want someone to go over everything I've done, to make sure it is acceptable/secure. The site is overall rather simple as far as design goes. That's actually one of my selling points. The workflow is as follows: Visit mainpage... - From mainpage you have following options: --- Upload file as guest/registered, public or private --- About & ToS page --- Control Panel page --- Logout Not sure what else to include. If you need further information, feel free to reach out! That's about it! Look forward to hearing from you.

Note: We are a well-funded startup with a very high engineering bar, working alongside senior engineers with experience from leading AI labs. This is a smaller initial paid task, but we pay well for excellent work and there is potential for a much larger collaboration if the fit is strong. Your PRs will be reviewed by strong engineers, so we are looking for someone who takes ownership, thinks clearly, and cares about shipping clean, production-ready code. Please only apply if you can hold yourself to that standard. We are not looking for generic AI-generated output or low-effort execution. # Implement Probabilistic Attribution Between Marketing Website and Electron Desktop App We have a marketing website where users can click to download our Mac desktop app. The app is distributed as a standard Mac DMG and built with Electron. We use PostHog for product analytics, and we also run Google Ads. Users may eventually sign in inside the desktop app through ChatGPT/auth, but many users will first be anonymous. We want to implement a simple first version of attribution that helps us understand which website visitors / ad campaigns / download clicks later become desktop app users. ## Goal Build a lightweight probabilistic matching system that connects: 1. A user visiting the marketing website 2. The same user clicking “Download” for the Mac DMG 3. The desktop app being opened for the first time 4. The user later signing in, when applicable The goal is not perfect identity matching. The goal is good-enough attribution for our current low-volume flow, roughly around 100 download clicks per week. ## What needs to be figured out The developer should determine the best simple implementation for: - Capturing enough information on the marketing website when someone clicks the Mac download button - Capturing enough information from the Electron app on first open - Matching those two events probabilistically on the backend - Passing useful attribution information into PostHog events - Associating the attribution with the authenticated user once the user signs in - Testing that the full flow works end-to-end The likely matching signals are things like timestamp proximity, hashed IP, platform, timezone, language/locale, and other non-invasive browser/app context. The implementation should avoid overcomplicated or privacy-invasive fingerprinting. ## What we should do Implement a simple backend-backed attribution flow: - When someone clicks “Download for Mac” on the website, create a download-attribution record. - Capture campaign data such as UTMs, Google Ads click ID if present, landing page, referrer, and PostHog anonymous/browser ID where available. - When the Electron app first opens, create or retrieve a persistent app install ID. - Send a first-open event from the app to the backend. - Backend attempts to match that first app open to a recent download click. - Store the match with a confidence level such as high/medium/low/unmatched. - Send attribution metadata as properties on relevant PostHog events. - Once the user signs in, connect the app install and attribution record to the authenticated user ID. ## What we should not do in this version We do not want to overbuild this. Do not: - Generate a unique DMG per user - Modify the signed Mac app bundle - Inject tokens into the installer - Implement custom deep links yet - Build a full deterministic attribution system - Use probabilistic matching to permanently merge PostHog user identities - Send raw IP addresses to PostHog - Add invasive browser fingerprinting Probabilistic attribution should be treated as estimated attribution, not as guaranteed user identity. ## Expected deliverables The task is complete when: - The website download flow records download intent and campaign metadata. - The Electron app records first-open/install metadata. - The backend can probabilistically match app first opens to recent website download clicks. - PostHog receives app events with attribution properties when a match exists. - The system links the app install to the authenticated user after sign-in. - There is a way to inspect/debug attribution matches. - The implementation is tested locally or in staging with realistic flows: - normal download → immediate app open - delayed app open - no matching download - multiple download clicks from the same network - user signs in after opening the app ## Important constraint This is a first version. We prefer a simple and maintainable solution that gives us useful attribution data over a complex solution that tries to be perfectly accurate.