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.

Description: I am looking for an experienced freelancer to help me build a centralized AI-integrated knowledge management system in Notion. This system will serve as the backbone for managing large-scale projects, organizing 1,000+ PDF documents, and leveraging AI tools for semantic search, automated categorization, and document summarization. It must be scalable, user-friendly, and designed to support long-term collaboration and growth. The ideal candidate will have expertise in Notion, AI integrations (e.g., Claude, OpenAI, LangChain), automation workflows (e.g., Zapier, Make, or APIs), and file management processes (including OCR). The system should be operational from day one, with all files uploaded, categorized, and fully searchable. Project Goals: 1. Fully Functional System in Notion: Create a centralized knowledge management hub in Notion to organize and manage all scanned files and documents. Upload and categorize 1,000+ PDF files into the system during setup. Build a clean, intuitive interface for managing projects, tasks, and documents. 2. AI Integration: Integrate AI tools (e.g., Claude, OpenAI, Notion AI) for the following: Semantic search: Search by meaning rather than keywords. Document summarization and tagging: Automatically generate summaries and metadata for files. Automated categorization: Categorize files by topics, projects, and metadata (e.g., project name, date, type). AI conversation logs: Enable collaborative decision-making and log AI-generated insights for shared review. 3. File Management and Automation: Automate workflows for importing, renaming, tagging, and categorizing files based on pre-defined rules. Ensure the system can handle OCR (Optical Character Recognition) to make PDFs fully searchable. Provide a blueprint for OCR settings, file-naming conventions, and file preparation best practices. 4. Collaborative Features: Enable multi-user access with role-based permissions for specific projects or categories. Set up dashboards and shared views for collaboration and task tracking. 5. Scalability and Independence: Design the system to handle thousands of files and multiple projects without performance issues. Provide training and documentation so I can independently manage and expand the system in the future. Deliverables: A. Scanning and File Preparation: Provide a step-by-step blueprint for scanning files, including OCR settings and file-naming conventions. Ensure all 1,000+ PDF files are uploaded, tagged, and categorized in Notion during setup. B. Notion Knowledge Base Setup: Build a clean and interconnected workspace in Notion with: Categories, tags, and metadata for file organization. Dashboards for managing projects, tasks, and documents. Automated workflows for file renaming and categorization. C. AI Integration: Integrate Claude, OpenAI, or Notion’s AI for: Semantic search and document summarization. Automated tagging and categorization based on file content. D. Collaboration Features: Set up shared access for multi-user collaboration with role-based permissions. Incorporate an AI conversation log feature to track collaborative decisions and insights. E. Testing and Final Documentation: Test the system with all files uploaded to confirm functionality. Provide a short video tutorial or detailed written guide explaining how to use, maintain, and expand the system. Requirements: The ideal candidate will have: Proven experience with Notion, including advanced setups and database design. Expertise in AI integrations, such as Claude, OpenAI, LangChain, or Notion’s native AI. Familiarity with OCR workflows, file automation, and document management best practices. Strong communication skills to provide clear documentation and training. A proactive approach to safeguarding data, including locking pages, setting permissions, and creating backups. Budget and Timeline: Budget: $900–$1,200 for the full setup and integration. Timeline: Completed within 2–3 weeks from project start. To Apply: Please include the following in your proposal: A brief overview of your experience with similar projects. Examples of previous work, including Notion setups, AI integrations, or file management workflows. Your proposed timeline and approach to completing this project. Any suggestions you have for improving the system.

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.

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.

Hi We are looking for someone who is expert in Replit/Lovable to for 3 week series of workshops of app building. We are looking for someone who can enjoy imparting knowledge to kids worldwide and align with our vision of giving a level playing field to all kids around the globe. We believe most kids are being shelled by their ecosystem, and we have to expose them to the world. We are looking for someone who can enjoy the process, enjoy working with young brains and can make the workshops fun learning. If this is something you can enjoy. Let's talk. Best Sam

We are building a semiconductor manufacturing intelligence platform designed to help engineers rapidly identify yield excursions, investigate root causes, and capture institutional process knowledge. A working foundation already exists, including yield dashboards, lot tracking, process-route visualization, maintenance-event correlation, and investigation timelines. We are now looking for a highly capable developer to extend and refine the system into a production-grade engineering decision-support tool. This is not a basic dashboard project. The goal is to enhance an existing platform into a system that connects manufacturing data, equipment history, and engineering knowledge with lightweight AI-assisted analysis. Key Objectives Help engineers answer questions such as: * Why did yield drop? * What changed before the excursion started? * Which tools or chambers are most likely responsible? * Have we seen a similar issue before? * What corrective actions worked previously? Scope of Work Investigation Workspace * Improve investigation timelines * Correlate process events, SPC/FDC signals, maintenance activity, and yield changes * Enhance interactive debugging workflow Historical Excursion Search * Simple similarity matching using rules or embeddings/API-based methods * Retrieve past investigations and outcomes Engineering Knowledge Layer * Searchable notes, documents, and reports * Store corrective actions and process changes AI-Assisted Summaries (lightweight) * Generate investigation summaries using an LLM API * Suggest possible contributing factors based on available data Ideal Candidate * Strong full-stack or data engineering experience * Comfortable working with existing codebases * Experience with analytics dashboards or industrial systems * Familiarity with APIs, databases, and data modeling * Bonus: exposure to manufacturing or semiconductor data Notes * This is an extension of an existing platform, not a rebuild * Focus is on practical implementation rather than complex architecture * Speed and execution matter more than theoretical design * Potential for ongoing work if collaboration goes well

I need a Discord bot built that posts positive expected value (+EV) sports betting picks to a channel, plus esports match schedules/scores. I have the full technical spec already written — APIs picked, EV formula defined, architecture outlined. This is integration work, not research. What's provided: Working API keys for The Odds API (sports odds) and PandaScore (esports stats) — I'll provide on hire Complete EV calculation formula (Python, ready to use) Full architecture spec (polling schedule, caching approach, bookmaker lists) Core deliverables (must-have, fixed price): Discord bot that connects to my server Scheduled polling (1-2x daily, not live) of The Odds API for sports moneylines + player props EV calculation comparing soft-book odds (DraftKings/FanDuel/Caesars) against Pinnacle as the sharp reference Caching layer (database) so the bot never calls the API live per Discord command Bot posts flagged +EV picks to a designated channel, above a configurable EV threshold PandaScore integration for esports match schedules/results posted to a separate channel Basic error handling with retry/backoff (no runaway API costs) Documentation: how to run it, how to add new sports/leagues, how to change the EV threshold Stretch goal (only if time allows within budget — not required): OddsPapi integration for esports moneyline EV detection (this API is unverified/free-tier, so treat as experimental) Tech preferences: Python or Node.js, whichever you're stronger in. Open to your hosting recommendation (needs to run 24/7 cheaply). Budget & Payment Structure: $500 fixed price, split into milestones Milestone 1 ($150) — Foundation: Discord bot connects to server, The Odds API integration pulling live sports odds data, caching layer working. Paid on demo of working data pull + bot online in server. Milestone 2 ($200) — Core Logic: EV calculation implemented and verified accurate against manual spot-checks, picks posting to Discord channel automatically on schedule. Paid on demo of at least 3 correctly-calculated +EV picks posted live. Milestone 3 ($150) — Esports + Polish: PandaScore esports schedule/results integration, error handling/retry logic, documentation delivered. Paid on final delivery + handoff call. To apply: Tell me your estimated hours for each milestone, and confirm you've worked with Discord bots + REST API integrations before.