Conversational Nutrition Coach App — MVP (Fixed Price) **Budget:** $1,500–$4,000 (fixed price) **Platform:** Open to your recommendation — single platform only (web app, iOS, or Android — not both) **Timeline:** Aiming for around 4 weeks, but open to a realistic timeline based on your bid ## What I'm Building A mobile-friendly app that helps people understand their nutrition through friendly, conversational AI — not heavy logging and dashboards like MyFitnessPal or Cal AI. Users log meals mainly by photo, and instead of just seeing numbers, they get a short, friendly conversation about what was nutritionally good, what might be missing, and a bit of practical education. The goal is something that feels like chatting with a knowledgeable friend, not being tracked by an app. ## Core MVP Features 1. **Photo-based meal logging + conversational follow-up** — snap a photo, app estimates food/portions/nutrients (with manual text-entry backup), then opens a brief friendly chat about the meal — what was good, what's missing, and why it matters (including naturally asking about activity/exercise when relevant, rather than a separate logging screen) 2. **Nutrient awareness** — macros (carbs/protein/fat/calories) plus key vitamins/minerals, with insights delivered conversationally rather than as a strict scorecard 3. **Custom or default targets** — track totals against a standard benchmark or a user-set target (e.g., a 50/30/20 macro split) ## What I'm Looking For - Experience with mobile/web app development, AI vision APIs (e.g., GPT-4o, Gemini, Claude vision), and conversational AI/LLM integration (this last one is central to what makes the app different) - Comfortable working with a non-technical founder — able to explain tradeoffs clearly - Portfolio examples of similar apps (tracking, conversational AI, or AI-powered image apps a plus) ## To Apply, Please Include - Your recommended platform (web/iOS/Android) and why - Which vision/AI and nutrition data APIs you'd use, and your approach to the conversational/educational piece - A rough timeline and milestone breakdown for your fixed-price bid Full detailed spec available for serious candidates — happy to share after an initial conversation (may ask for an NDA before sharing full details).

I have a fully built Bubble.io web application that needs a Relevance AI RAG (Retrieval-Augmented Generation) integration completed. The core foundation has been partially built — document upload to knowledge base and basic chat functionality were working at one point. I need an experienced developer to complete and properly implement the full integration. What's Already Built: Complete Bubble.io application with user authentication and role-based routing Multi-tenant database structure (multiple separate accounts each with their own isolated data) Document upload portal Chat interface UI (fully designed and functional — just needs AI connected) Bubble API Connector installed and partially configured Relevance AI account with agents and knowledge bases set up All necessary database fields already created What I Need Completed (4 Tasks): Task 1 — Document Upload Syncing When a user uploads a document in Bubble, it must automatically sync to their specific Relevance AI knowledge set. The Relevance AI document ID returned must be saved back to the corresponding Bubble record. Task 2 — Chat Integration When a user sends a message in the chat interface, it must be routed to their specific Relevance AI agent and return a synchronous response displayed in the chat. Each account must only receive answers from their own isolated knowledge base — cross-account data must never mix. Response must be saved to the database. Task 3 — Document Deletion Syncing When a user deletes a document in Bubble, it must simultaneously be deleted from their Relevance AI knowledge set using the document ID stored in the database. Task 4 — Citation Tracking When the AI responds, it must extract which source document was cited and save that reference back to the database for analytics purposes. Technical Stack: Bubble.io (no-code frontend and backend) Relevance AI (RAG engine) REST API integration via Bubble's API Connector Region and API credentials will be provided upon hiring Important Requirements: Must have demonstrated Bubble.io experience Must understand RAG systems and API integrations Multi-tenant account isolation is non-negotiable — each account's data must be completely separate Please provide examples of similar Bubble.io API integration projects you have completed Project Scope: This is a focused integration project — not a full app build. The application is complete. You are connecting the existing Bubble app to the existing Relevance AI setup and ensuring all four tasks above work correctly and reliably.

We're looking for a developer to build a lean, working Proof-of-Concept of an automated pipeline that ingests podcast episode audio, generates a clean transcript with speaker diarization and timestamps, and uses an open-source NotebookLM alternative (Notex or Open Notebook) to automatically produce a suite of repurposed content assets — show notes, episode summaries, social media posts, blog drafts, and pull quotes. The goal is to validate the end-to-end workflow on 2–3 sample episodes, not to build a full production platform yet. We want to see the plumbing work cleanly before investing in scale. Envisioned stack: n8n for orchestration, a speech-to-text API (Deepgram, AssemblyAI, or Whisper), a lightweight DB (Supabase or PostgreSQL), and an open-source NotebookLM alternative as the content generation engine. The whole system should be self-hostable via Docker. We're open to the developer's recommendations on the best tools and tradeoffs. Deliverables include a working n8n workflow, Docker-compose setup, a short README, demonstration on 2–3 sample episodes we provide, and a brief written recommendation on Notex vs. Open Notebook for scaling this pipeline to ~500 episodes/year. Required skills: n8n (or similar orchestration), speech-to-text APIs, Docker / self-hosted deployments, hands-on experience with NotebookLM alternatives or RAG-based content engines, LLM prompt engineering for structured output, and PostgreSQL / Supabase basics. Nice to have: Prior podcast or media-tech automation work, pgvector / RAG experience, structured output via JSON schema or function calling, and experience scaling automation pipelines. To apply, please include: a short overview of your automation / AI pipeline background, specific experience with n8n + STT APIs + open-source NotebookLM alternatives, links to GitHub or prior workflows, a 2–3 sentence note on whether you'd recommend Notex or Open Notebook for this use case and why, and your estimated turnaround time. This is a fixed-budget POC (~$100). If the workflow is clean, reliable, and well-documented, we plan to expand it into a full production build (client portal, human-in-the-loop editor, admin dashboard, scaling to 500+ episodes/year) with a significantly larger budget.

We're a 30-year, family-owned home improvement company in Michigan. We run a modern but disconnected software stack and we're looking for a developer to connect the pieces, automate manual work, and build reporting that actually gets used. This is project-based contract work to start, with steady ongoing work for the right person. Not a full-time role. What you'd be working on: Our tools don't talk to each other and too much still runs on manual data entry and spreadsheets. We want someone who can look at a workflow, find the bottleneck, and build the fix. Examples of projects on our list: Replace an antiquated Google Sheets scheduling system with something modern and connected Build and maintain integrations between our core tools (CRM, call tracking, phone, accounting) Build BI and reporting dashboards that pull from multiple sources into one clear view Automate manual data entry, lead routing, and reporting tasks Set up AI-assisted tooling where it makes sense (call summaries, automated reporting, data cleanup) Our stack: JobNimbus (CRM, system of record) CallRail (call tracking, ~50 numbers) RingCentral (phone) Rilla (sales conversation analysis) QuickBooks (accounting) Google Ads and Facebook Ads Google Sheets / Google Workspace You should have: Strong experience with API integrations and connecting SaaS tools (Zapier/Make is fine for some of it, but we want someone who can write custom code when the no-code tools fall short) Experience building reporting dashboards or BI tools Comfort with one or more CRM platforms (JobNimbus experience is a big plus) Ability to scope a problem, propose a solution, and ship it without heavy hand-holding Clear written communication and the ability to explain technical work to non-technical people Nice to have: Experience with JobNimbus, CallRail, RingCentral, or QuickBooks specifically Experience building AI-assisted workflows (LLM-based summaries, data extraction, etc.) Experience in home services, construction, or contracting businesses

# Zapier & AI Automation Specialist for Growing Coffee Catering Company ## Overview Pretty Good Coffee Company is a premium mobile coffee catering company based in Raleigh, NC. We serve corporate events, employee appreciation events, universities, weddings, brand activations, and private events throughout North Carolina. We're looking for an experienced automation specialist to help us build practical systems using Zapier, AI tools, Gmail, and our existing software stack. Our goal is not simply to automate tasks. We want to create systems that improve client experience, increase sales conversion, reduce administrative workload, and help us scale operations without sacrificing hospitality. ## Primary Project: Quote Follow-Up Automation Our highest priority is building an automated quote follow-up system. Current workflow: * Lead submits inquiry * Quote is created and sent through booking platform * Follow-up is currently handled manually Desired workflow: * Detect when a quote is sent * Extract relevant quote details * Use AI (Google AI Studio/Gemini) to generate personalized follow-up emails * Create Gmail drafts (not auto-send) * Trigger additional follow-ups after specific time periods * Maintain a natural, human, hospitality-focused tone We have already begun building this workflow but need an expert to finish and optimize it. ## Future Automation Opportunities After the initial project, we'd like help building additional automations such as: ### Sales * Lead response automation * Quote follow-up sequences * Lead scoring and prioritization * Client re-engagement campaigns * CRM updates and pipeline tracking ### Operations * Automatic event briefs * Staff communication workflows * Event assignment notifications * Calendar and scheduling automations * Inventory forecasting ### Marketing * Review request automation * Testimonial collection * Client nurture campaigns * Social media/content workflows * Monthly reporting dashboards ### Executive Reporting * Weekly business summaries * Lead tracking * Conversion reporting * Revenue dashboards * Operational KPI reporting ## Current Tech Stack * Flashquotes * Zapier * Gmail / Google Workspace * Google AI Studio (Gemini) * Google Sheets * Google Drive Additional platform recommendations are welcome if they simplify operations. ## What We're Looking For * Strong Zapier experience * Experience with AI integrations (Gemini, OpenAI, Claude, etc.) * Experience troubleshooting API and webhook workflows * Ability to think through business processes, not just build automations * Clear communication and documentation * Ability to recommend simpler solutions when appropriate ## To Apply Please include: 1. Examples of similar automation projects you've built. 2. Your approach to quote follow-up and sales automation. 3. Your preferred hourly rate or fixed-price estimate for the initial project. 4. Any recommendations you would make based on the information above. We're looking for a long-term automation partner, not just a one-time freelancer.

Looking for an expert developer to build a private, highly secure creative and financial workspace using the Google AI Studio / Gemini 1.5 Pro API. The absolute priority of this project is a 100% complete data migration. You will take a 6-week raw chat log containing precise financial checking/savings ledgers, business blueprints, and long-form biographical story notes, and ingest it flawlessly into a permanent vector database. You will connect this repository to the Gemini API so the system maintains permanent context retention across both a laptop and an Android phone without losing a single digit or syllable. Must deliver a clean, private, password-protected web interface that allows for seamless text dialogue, image uploads (for inventory tracking), and audio processing. Security, privacy, and flawless data retention are non-negotiable.

Looking for an elite problem solver, either an ex-MBB consultant with deep technical fluency or a seasoned AI Product Manager, to act as the crucial bridge between business operations and technical AI implementation. You will be responsible for dissecting client operations, prototyping the AI logic, writing flawless engineering briefs, and driving the development team to the finish line. What You Will Do: Workflow Audits & Discovery: Lead deep-dive discovery sessions. Map out existing operational workflows, identify bottlenecks, and pinpoint high-ROI opportunities for AI automation. Prototyping & Technical Translation: Because you are an AI power user, you will prototype the initial AI prompts and logic. You will then translate your operational findings into crystal-clear engineering briefs (or PRDs) so developers know exactly what to build. Development Management: Act as the project lead during execution. Manage the engineering workstream, clear roadblocks, and ensure the final solution is delivered on time, within budget, and achieves the strategic goal. Stakeholder Alignment: Act as the primary liaison between non-technical business leaders and the technical development team. Requirements & Qualifications: Top-Tier Pedigree: 1+ years of experience at a top management consulting firm (MBB, Big 4, Tier 2) OR proven experience as a Technical/AI Product Manager. Advanced AI Fluency: You are an AI power user. You possess advanced prompt engineering skills (e.g., chain-of-thought, few-shot) and know how to force LLMs to output reliable, structured data. Elite Structured Thinking: You excel at turning highly ambiguous, messy business processes into clean, logical frameworks (using Lucidchart, Miro, etc.) and comprehensive technical requirements. Project Leadership: Proven track record of managing technical resources, tracking deliverables, managing budgets, and driving teams to a deadline.

**ChatGPT Business + Google Workspace Integration Consultant** I'm looking for an expert to help set up ChatGPT Business as the central AI platform for my medical practice. I need assistance with: * Fixing/migrating my ChatGPT Business workspace * Connecting Gmail, Google Calendar, Google Drive, and Google Docs * Integrating Basecamp * Organizing Google Drive and workflows * Training me on best practices * Building AI workflows for meeting summaries, task management, and office operations This is an initial 3–8 hour project with the opportunity for an ongoing consulting relationship. **Requirements:** * Experience with ChatGPT Business * Google Workspace expertise * Basecamp experience (preferred) * AI workflow automation (Zapier, Make, n8n, etc.) * Excellent communication skills Please include: * Similar projects you've completed * Your hourly rate * Your availability * Why you're a good fit for this project

I’m building Elevyn, a platform designed to help people better understand themselves through connected data, intentional reflection, and AI-generated insights. This is not a social media platform. This is not a productivity app. This is not just another trading journal. Elevyn is an operating system for self-mastery, with trading serving as the first environment where personal growth becomes measurable. Most apps collect data. Elevyn is designed to observe. The goal is to connect information across different areas of a person’s life and uncover meaningful patterns that help them improve their decision-making, habits, discipline, and overall performance. The Vision Users will log information such as: • Sleep • Mood • Daily reflections • Workouts • Morning routines • Trading activity • Goals • Habits • Personal notes Instead of simply displaying this data, Elevyn will analyze relationships between it and surface meaningful insights. Examples include: • “You slept less than 5 hours before 7 of your last 10 losing trades.” • “Your win rate increases after completing your morning routine.” • “You tend to become more impulsive after multiple winning days.” • “Your consistency improves when workouts and journaling happen on the same day.” The long-term vision is an intelligent system that continuously helps users become more self-aware. Current Stage I already have: • Brand identity • Vision and philosophy • User flows • Interactive prototype • Core feature planning • Long-term roadmap I’m now looking for a developer or small team (2-3 people) to build the first production version. What I’m Looking For I’m looking for someone who can think beyond simply building screens. I want someone who can: • Build scalable architecture • Recommend the best technologies • Think through user experience • Ask thoughtful questions • Help solve technical challenges • Build for future AI integrations • Create clean, maintainable code Experience with AI, analytics, mobile applications, and scalable backend systems is a significant advantage. Technology (Open to Recommendations) I’m open to your recommendations, but I’m considering: • Flutter or React Native • Node.js or Python backend • PostgreSQL • Firebase/Supabase • AWS • AI integrations (OpenAI or similar) • Secure authentication and cloud infrastructure Long-Term Vision Trading is only the beginning. The underlying engine should eventually support entrepreneurs, athletes, creators, students, and anyone pursuing mastery in a specific area of life. The core idea remains the same: Help people understand themselves by connecting patterns across their behaviors, decisions, and outcomes. Who I’m Looking For I’m looking for someone who believes in building meaningful products—not just completing tasks. If you’re excited about creating a platform that combines psychology, data, AI, and personal development into something people genuinely use to improve their lives, I’d love to hear from you. Please include examples of similar work, your recommended tech stack, and how you would approach building a scalable MVP that can grow over time.

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.