I’m looking for an experienced Bubble developer to convert an existing Figma design into a responsive Bubble web app and assist with turning the completed web app into iOS and Android mobile apps using a reliable mobile wrapper or native-wrapper solution. The UI, page flow, and core user journey are already prepared. The work may include building the screens in Bubble, creating reusable elements, setting up responsive layouts, connecting page navigation, and ensuring the finished app closely matches the Figma design across desktop and mobile. The developer may also assist with securely integrating the OpenAI API and other APIs with Bubble, reviewing backend workflows, protecting API keys and sensitive credentials, and advising on RevenueCat and iOS/Android subscription integration. Experience with Bubble mobile wrappers, such as Natively or similar platforms, is preferred. The developer should be able to advise on the best approach for converting the Bubble web app into App Store and Google Play-ready mobile apps, including native mobile functions, in-app purchases, push notifications, and store submission requirements. This project is confidential. The selected freelancer must sign an NDA and Statement of Work before receiving the full Figma file, product details, app access, or credentials. Please include examples of similar Figma-to-Bubble projects and explain your experience with responsive Bubble development, backend workflows, API security, mobile wrappers, RevenueCat, and iOS/Android app deployment.

About the Business I own Meet U @ The Net, an established beach volleyball league in Southern California. Website: https://meetuatthe.net The league currently runs multiple seasons per year, has strong player retention, and regularly reaches registration capacity. I am looking for a developer or small team to help modernize the business systems while providing documentation and knowledge transfer so I can eventually manage and improve the platform myself. This is not a one-time project. I intend to build the platform in phases over multiple seasons. Phase 1 Goals CRM Foundation Current data exists across: Excel Airtable Google Sheets The goal is to consolidate historical league data into a single CRM/database. Examples: Players Teams Seasons Registrations Waitlists Payments Participation history Website Rebuild Build a modern website focused on: Registrations League information Schedules Standings FAQ Mobile responsiveness SEO foundation AEO foundation Registration System Support: Individual registrations Team registrations Waitlists Coupon codes Discount codes Payment tracking Waiver System Requirements: Team captains can register teams Individual players must create their own profile Individual players must sign their own waiver Waiver tracking and status management Knowledge Transfer (Required) I do not want a black-box system. I want: Written documentation Loom walkthrough videos Live walkthrough sessions Ability to ask questions after launch The goal is to learn how the system works while it is being built. Future Phases (Not Part of Phase 1) Future projects may include: Scheduling tools Referee score entry portal Automatic standings Sponsorship CRM AI features Mobile applications The initial focus is building a strong foundation. Preferred Technologies Open to recommendations. Currently interested in: Next.js Supabase OpenAI GitHub Budget Approximately: $5,000 – $7,000 for Phase 1 Future phases expected if Phase 1 is successful. Looking For Full-stack developer or small team CRM/database experience SaaS experience Strong communication Documentation-focused Comfortable working with non-technical founders Please send: Relevant projects Technologies used Availability Pricing model Examples of documentation or client training

We're looking for a Google Ads specialist who actually understands the data side, not just the algorithm. Plenty of people can run campaigns. We need someone who can go into the account, look at what the conversion data is actually telling them, and know whether it's healthy or broken, then fix it or flag it before we have to ask. You'd be working across several local, multi-location, business-to-client accounts. These run Google Search, Performance Max, and Local Services Ads. We'd start you on one account, and if it's a fit, expand from there. What the role actually requires: You need real, hands-on experience with offline conversion tracking. Not "I've heard of it," but actually passing conversion data back to feed the algorithm a better signal. You should know your way around the Google Ads Data Manager API. And you need genuine Local Services Ads experience, since LSAs are a core part of these accounts. Just as important: you need to be proactive and vocal. If leads are coming in but not converting, we want you asking why before we do, pushing on conversion rate optimization… don’t just sit. We work on a cadence built around specific KPIs, and we want someone who wants to keep iterating and optimizing against them, month over month. You'd join one monthly all-hands with the rest of the team and report directly to the CMO. A few questions. Please answer these directly in your application: 1. How do you use offline conversion tracking to prime the algorithm? Walk us through what you're actually passing back and how. 2. Would you run Performance Max on these accounts? If so, when would you turn it on, and what would you want in place first? 3. Have you worked directly with the Google Ads Data Manager API? What did you use it for? 4. How do you approach tracking and optimizing Local Services Ads leads differently from standard Search? 5. An account is getting plenty of leads, but they're not converting. What's your first move? How this works: This is a multi-step process. First, we'd have you audit one of our current accounts, then present your findings to us on a call. From there, we'll scope out the ongoing engagement together. Three things to note: 1. Anyone using AI to generate automated responses to this post will be disqualified immediately. We can tell, and we're not interested. 2. If you are just outsourcing your work, please be upfront. We sometimes will do working sessions together. Do not apply if you plan on just outsourcing. 3. Bonus points if you answer the questions above on a quick Loom.

We’re seeking a Full Stack Engineer (mid- to senior-level) with strong expertise in Node, React, and TypeScript to design, build, and maintain the APIs, workflows, and interfaces that power the Probada platform. This is a hands-on, end-to-end role that blends backend logic, data-driven workflows, and modern, component-based frontend development. You’ll work directly with our Lead Developer and CEO to ship features that have immediate, meaningful impact in classrooms and communities. Key Responsibilities Design, implement, and maintain backend APIs and workflows using Node and TypeScript Build responsive, maintainable user interfaces in React following component-driven best practices Integrate frontend and backend components into cohesive, scalable systems Collaborate closely with designers, product managers, and engineers to deliver high-quality features Optimize platform performance, reliability, and maintainability Participate in code reviews, testing, and CI/CD processes Requirements 3+ years of professional full-stack development experience Strong proficiency in Node, React, and TypeScript Solid understanding of component-driven architecture and modular design Familiarity with Git workflows, Agile development, and CI/CD pipelines Excellent problem-solving, debugging, and communication skills Additional Preferences Experience with MongoDB, Parse Server, GraphQL, Docker, Jest, Material UI, IntelliJ IDEA, or Jira Interest or experience in edtech, workforce development, or scalable SaaS platforms

We are looking for a highly skilled Domo BI consultant to support the development of executive-facing marketing dashboards and reporting frameworks. This engagement will begin as a paid pilot project designed to evaluate both technical capabilities and overall fit for a larger body of work. The selected consultant will work within a staging Domo environment using pre-built frameworks and sample datasets to help us further operationalize and scale reporting infrastructure. The primary objective of the pilot is to assess the candidate’s ability to: - Build and enhance dashboards in Domo - Translate business frameworks into scalable reporting logic - Integrate and model data across multiple sources - Create clear, executive-ready visualizations and KPI structures - Work quickly and independently within an existing analytics framework The work is heavily focused on marketing analytics, including campaign performance, influencer measurement, ROI frameworks, and cross-channel reporting. This is not an entry-level or training-oriented engagement. We are specifically looking for someone with strong existing Domo experience who can execute quickly with minimal ramp-up. Successful completion of the pilot project may lead to additional ongoing consulting work tied to broader dashboard development and analytics initiatives.

I'm a marketing consultant managing a Shopify website build for a B2B client. The client is a specialty equipment distributor with an established customer base, existing Zoho CRM and Zoho Books infrastructure, and a mix of public and house-account customers. I have attached a full technical brief and draft sitemap. Please read before applying. WHAT WE'RE BUILDING • Shopify storefront on a premium theme (design provided, no design work needed from you) • E-commerce catalog for consumables and parts: 100-200 SKUs at launch, up to 1,000 at scale • Zoho CRM and Zoho Books integration: product sync, order sync, and pricing sync • Multi-tier B2B pricing: 5-6 price tiers for house accounts, MAP pricing for public visitors • Customer login portal with tier-based pricing at checkout • PO number checkout option for logged-in account holders • Drop-ship and warehouse fulfillment routing • Territory-based sales rep locator (state-level lookup minimum) THE MOST IMPORTANT QUESTION Before anything else, I need your honest assessment: can multi-tier B2B pricing with Zoho sync work on Shopify standard, or does this require Shopify Plus? This single answer shapes the entire project budget. I need a clear, experienced opinion, not a maybe. WHO I'M LOOKING FOR • Demonstrated Shopify B2B e-commerce experience (show me examples) • Hands-on Zoho CRM or Zoho Books integration experience, specifically with Shopify • Familiarity with B2B pricing structures and customer account portals • Strong communicator who flags problems early • Available to start within 6-10 weeks (design runs in parallel) WHAT THIS IS NOT • Not a design project. Approved designs will be handed to you. • Not a content project. Copy and product data will be provided. • Not a Zoho cleanup project. Client's Zoho data will be clean and structured before build starts. BUDGET AND ENGAGEMENT TYPE Hourly engagement. Estimated 80-160 hours depending on integration complexity. The Zoho integration scope is not fully certifiable until a developer has assessed it. Budget range: $6,000-$15,000+ USD total estimated. Rate and hours breakdown welcome in your proposal. HOW TO APPLY Read the attached brief in full before submitting a proposal. In your proposal, include: • Your answer to the Shopify standard vs. Plus question • Your preferred approach for the Zoho integration • A relevant example of a Shopify B2B project you've built with CRM integration • Your hourly rate and rough hour estimate for this scope Proposals that do not address these four points will not be reviewed.

I am looking for someone who can spend 30 minutes (or less) with me on a zoom call to help get my affiliate tracking dashboard, Everflow, connected to my Meta ads account through the Conversion API. Even if it's 30 minutes or less, I'll pay for the full hour.

We're running offline conversion tracking for a home-services client, and it's only half working. Some conversions land in Google Ads with the right value; others silently never show up. We need someone who genuinely lives in Google Ads offline conversions to find out why and make it reliable — not a generalist who has "done some Google Ads." The stack: - GoHighLevel (CRM — holds contacts, opportunities, and lead values) - Google Ads (where converted lead value needs to land) - Make.com (webhook automation — form submissions upsert contacts and create opportunities in GHL) - CallRail (call tracking) - A daily CSV import that's supposed to push converted value + GCLID back into Google Ads What's happening right now: Website form leads flow into GHL through Make.com, opportunities get created and assigned a value, and a daily offline-conversions CSV is set up to send that value back to Google Ads matched on GCLID. The problem is it's partial — some rows import fine, others never appear, even after forcing a manual fetch. A test submission with a known value didn't come through at all, so something in the chain is broken or mismapped. Separately, calls coming straight from ads aren't captured at all. Those don't carry a GCLID, so they can't ride the same CSV — they need their own offline import keyed on caller phone number and call start time. Calls aren't currently tracked through GHL either. What we're trying to accomplish: Get GHL reliably feeding offline conversions — value plus GCLID — into Google Ads so the platform can actually read converted lead value and optimize on it. Then extend the same reliability to ads-driven calls so we're not blind on phone leads. How we want to run it: - Phase 1 is audit and diagnosis. Map the full chain from ad click → GCLID capture → GHL → CSV → Google Ads import, and tell us exactly where it breaks and why some convert and some don't. - Phase 2 is the fix plus call-conversion setup. We greenlight the build once we're aligned on what's actually wrong. You're a strong fit if you've built GCLID-based offline conversion tracking end to end, know the Google Ads import requirements cold, and have wired GHL (or a similar CRM) into Google Ads before. Make.com experience is a plus since that's where our automation lives. Please answer these in your proposal: 1. We have a daily offline conversion import that runs but frequently shows zero successful conversions even when the file has rows. What are the first five things you'd check? 2. What columns does Google Ads require for a GCLID-based offline click conversion import, and what's the most common reason a row fails to import without throwing an obvious error? 3. A call comes straight from an ad with no GCLID attached. How do you get that conversion into Google Ads, and how is that mechanically different from importing a form lead? 4. Walk us through how you capture a GCLID at the moment of form submission and make sure it survives all the way into the CRM record. Where does it usually get dropped?

We are looking for someone who is a registered developer with Amazon to help us connect our account via API to get customization data from our orders into our own software.

Want someone to go over our Retell prompts / get best practices, must be a retell partnered agency. Please share previous projects and the name of your business on retells site.