Hello, my name is David. Currently I am having trouble in facebook ads manager concerning pixels/ datasets. I know these two aren't exactly the same, but I'm not an expert here. In the ad in facebook ads manager, under Conversion, under Conversion Event, it reads, "Your ad may not be optimized for conversions because we haven't received any activity from your pixel in more than 7 days. To optimize for conversions: View Pixel Email Pixel Code Get help" Maybe all of this is in my head, but I feel like it is not working. I was getting conversions from my website and now I'm not. In Events Manager under Datasets there are triangle exclamation marks under Status and Event match quality on Pageview. Event match quality says 4.6/10 - Update recommended. When I click it, it shows everything as 100% of total events except email which says, "Email Hashed 7.69% of total events Coverage Meter" Last night, External ID had a low percentage, too but now it's showing 100%. I just want to be able to understand what is going on so I can fix it. I don't want to just hand something off and say, "Oh, go and do this." Then when it happens again I have no idea what to do. I'm really interested in learning about this, because I feel like it is affecting my ad significantly - how facebook reads it, understands it, and sends it out to the right people. Right now it feels like I'm just throwing money down a black hole, and facebook is driving in the dark.

About Us We’re a California-based residential drafting and design firm. We specialize in single-family homes, additions, remodels, ADUs, decks, conversions, and as-built permit documentation. We pride ourselves on delivering high-quality plans fast, and we work hard to make sure every project moves efficiently from design through permit without sacrificing accuracy or quality. Our clients rely on us to get things done right and on time, and we hold our collaborators to the same standard. Role Overview We are looking for a California-licensed Structural Engineer to join our network of trusted collaborators on a per-project contract basis. You will work closely with our owner and design team, providing the structural input needed to bring our plan sets across the finish line, from initial review through stamping. This role is ideal for an engineer who genuinely enjoys residential work, understands the practical realities of small project budgets, and takes pride in finding smart, code-compliant solutions rather than defaulting to over-engineered ones. What You Will Do • Review plan sets prepared by our design team and provide redlines and structural details • Prepare or supply calculation packages to support permit submittals • Stamp and sign completed plan sets for California jurisdiction submittals • Respond to plan check comments in a timely manner • Work collaboratively with our owner and draftsmen through each round of revisions • Maintain compliance with the California Building Code and applicable local amendments What We Are Looking For • Active California Structural Engineer (SE) or Civil Engineer (PE) license • Significant experience with small residential projects including single-family homes, decks, additions, remodels, room conversions, and as-built permits • A practical, solution-oriented mindset, someone who looks for ways to make a project work within real-world budget constraints without cutting corners or compromising safety • Ability to begin work within a few days of receiving a project brief and turn around redlines or revised documents within a few days of client or contractor feedback • Strong communication and collaborative working style • Familiarity with California county and city plan check processes is a plus What We Are Not Looking For We are a legitimate drafting service that does things right. We are not looking for engineers who over-engineer straightforward residential projects or who treat small jobs as low priority. If you thrive on practical problem-solving and fast turnarounds, you will fit right in here. Compensation Negotiated per project based on scope and complexity. We offer consistent project flow and a collaborative team that respects your time and expertise.

We are looking for an experienced Quantitative Trading Strategist / Trading Systems Lead or Senior Algorithmic Trading Developer with quant strategy experience to review an existing small-cap momentum trading bot. This is not a coding implementation role at this stage. We are looking for an independent reviewer who can analyze the bot’s backtesting results, scoring model, gate logic, tactical trigger logic, entry/exit rules, and trading workflow, then provide a clear written report with developer-ready recommendations. The full scope of work will be provided as a PDF. Project Background We have an existing small-cap momentum trading bot designed to scan U.S. equities, identify potential gappers and momentum candidates, score them using a structured 0–100 model, and prepare them for dry-run / paper-trading validation. The system includes: • Hard gates and soft gates • Wheelhouse / Just Outside Wheelhouse classification • One soft-failure rule in certain conditions • 0–100 scoring model • Structure, Momentum, Tactical Trigger, and Context scoring • Tactical Trigger confirmation before entry • Buy/no-buy decision logic • Exit and risk-management logic • Backtesting and timestamped replay results We now need a qualified trading systems expert to review whether the system is realistic, properly structured, and capable of identifying the type of small-cap momentum setups we are targeting. Main Goal The main question we need answered is: Even if the bot is built correctly according to the current rules, how should the strategy, scoring model, gates, entries, exits, and decision logic evolve to become smarter, more adaptive, and more effective in real market conditions? What You Will Review You will review: • Backtesting results • Decision trace files • Trade results • Scoring model • Hard gate and soft gate logic • Wheelhouse / Just Outside Wheelhouse rules • Tactical Trigger / candlestick logic • Entry logic • Exit and risk-management logic • Missed opportunities • False positives • Time-of-day behavior • Market-regime behavior • Whether the system is too restrictive or not restrictive enough • Whether the score threshold is realistic • Whether the bot is identifying valid small-cap momentum opportunities early enough Important Clarification This role is for an independent report and strategy review only. You will not be modifying the production code directly. The current developer will handle code changes after your review. Your job is to provide a clear, practical, developer-ready report that explains what should change, why it should change, and how it should be tested. Ideal Candidate The ideal candidate has real experience with: • Intraday equity trading systems • Small-cap momentum trading • Gap-and-go strategies • High relative volume / low float stocks • VWAP, EMA, ORB / ORH / ORL logic • Candlestick-based tactical entries • Backtesting and timestamped replay • Trade-entry optimization • Exit and risk-management logic • False-positive and missed-opportunity analysis • Translating trading strategy findings into developer-ready requirements We are not looking for someone who only gives vague trading opinions. We need someone who can review real backtesting evidence and produce a clear, practical report. Expected Deliverables Deliverables should include: 1. Backtesting Review Report 2. Top red flags from the backtest 3. Missed-opportunity analysis 4. False-positive analysis 5. Scoring model review 6. Gate logic review 7. Tactical Trigger review 8. Entry logic recommendations 9. Exit / risk-management recommendations 10. Market-regime and time-of-day recommendations 11. Developer-ready change list 12. Priority ranking of recommended changes The final report should clearly explain: • What is working • What is not working • What may be too restrictive • What may be too loose • Whether the current 85/100 threshold is realistic • Whether different entry profiles are needed • Whether exits are protecting capital properly • Whether the bot is missing good setups • Whether it is accepting poor setups • What changes should be made first First Milestone For the first milestone, we would like a 10–15 hour review. The goal of the first milestone is not to solve everything. The goal is to determine whether you can quickly identify the real issues and provide a useful, practical report. If the first milestone is successful, we may extend the work. Required Application Response Please do not send a generic proposal. In your response, please answer the following: 1. What experience do you have with small-cap momentum, gap-and-go, low-float, or high-relative-volume trading systems? 2. Have you reviewed backtesting or timestamped replay results before? Please describe. 3. Have you worked with VWAP, EMA, ORB / ORH / ORL, candlestick triggers, or tactical entry logic? 4. What would you look at first if a bot is not trading even when the score threshold is lowered? 5. What are examples of prior strategy reviews, backtest reviews, trading system reports, or developer-ready recommendations you have produced? Please provide redacted examples if available. 6. How would you determine whether the issue is scoring, gates, tactical triggers, data timing, execution readiness, or a broader strategy issue? 7. Are you comfortable providing a written report only, without directly modifying the production code? 8. What would you need from us to complete a strong first review? Screening Requirement Please include the phrase “decision trace review” at the top of your proposal so we know you read the full posting. What We Are Not Looking For We are not looking for: • A general Python developer only • Someone to rebuild the bot from scratch • Someone to directly modify production code at this stage • Someone who only provides broad trading opinions • Someone who cannot explain their review process • Someone who cannot provide examples of prior work • Someone who wants to tune thresholds without evidence

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.

Product Designer (UI + Front-End) | Design & Build Digital Experiences About Optimism Optimism is a modern media and technology platform building the future of well-being. We operate a growing ecosystem of health, wellness, and longevity brands—and are building toward becoming the most trusted and accessible destination for well-being. We are highly design-driven and care deeply about clarity, taste, trust, and human-centered experiences. We’re looking for an exceptional Product Designer who can both design and build. We’re looking for someone who can move fluidly between UI design and implementation—creating elegant interfaces and bringing them to life. The Opportunity You’ll help shape the digital experience across Optimism’s ecosystem—from landing pages and subscription flows to editorial products, email experiences, quizzes, onboarding journeys, and lightweight product interfaces. You should feel comfortable moving from: Concept → Design → Build → Launch → Test → Optimize We value people who care equally about aesthetics and performance. What You’ll Work On - Design high-quality UI across web, email, and product experiences - Create landing pages, onboarding journeys, quizzes, subscription flows, and conversion experiences - Translate strategy and user journeys into elegant, intuitive interfaces - Build and launch experiences directly (or work closely with engineering where needed) - Prototype rapidly and test ideas in market - Optimize experiences through iteration, experimentation, and performance insights - Help evolve scalable design systems and reusable UI components - Partner across product, growth, editorial, and engineering teams What We’re Looking For Strong UI Craft You have exceptional visual taste and understand: - Layout - Typography - Hierarchy - Interaction design - Conversion-focused UX - Systems thinking Builder Mentality You are comfortable turning designs into live experiences and understand front-end implementation. Experience with some of the following: - Figma - HTML/CSS - JavaScript - React - Webflow - Framer - WordPress You do not need to be a full-stack engineer, but you should be highly implementation-minded. Experience We Value - Product design, UI design, growth design, or front-end experience design - Designing conversion flows and onboarding experiences - Email design systems and responsive templates - A/B testing, experimentation, and optimization - Subscription, media, editorial, or content platforms - AI-assisted workflows for design and prototyping Ideal Candidate You are: - Highly detail-oriented - Fast-moving and iterative - Systems-minded - Collaborative - Curious - Comfortable operating in ambiguity - Obsessed with creating thoughtful, beautiful digital experiences Most importantly: you love building, not just designing. To Apply Please include: 1. Portfolio (required) 2. Examples of experiences you both designed and implemented 3. Your favorite product or digital experience and why you think it works 4. Your experience with front-end tools and no-code/low-code platforms 5. A brief note on how you use AI in your design workflow

TITLE US-Based CEDIA Designer — Lutron + Control4 Home Automation & low-voltage System Design for 5,800 sq ft Home IMPORTANT — PLEASE READ BEFORE APPLYING This job is for a US-based designer with direct, recent experience designing Lutron and Control4 systems for US custom homes. I will not consider: • Designers based outside the United States • Designers whose primary specialty is KNX, Loxone, or other European/non-US platforms • Designers who plan to recommend a platform other than Lutron (for lighting/shades) and Control4 (for automation) • Hourly bids — fixed price only • Applications without work samples This isn't a judgment on other platforms — it's about matching the design to my local installer pool, which is Lutron / Control4 / Crestron based. PROJECT SUMMARY I'm a homeowner finalizing plans for a new single-story custom home in Texas. I'm hiring an independent CEDIA designer to produce a complete pre-construction design package that my builder, electrician, framer, and HVAC contractor can build to — and that any qualified DFW integrator can later bid on for Phase 2 install. This is a DESIGN-ONLY engagement. Installation will be bid separately to multiple integrators after the design is complete. The new home is 5800 Square feet Single-Story home, with 4 bedrooms, great room, kitchen, dining, study, library, combined den/media room, covered outdoor patio. No pool, gazebo, or detached structures. SCOPE OF DESIGN The design must cover all of the following as a coordinated whole-home system, designed to current US (NEC) electrical code and standard DFW residential construction practice: • Structured cabling and network (Cat6A home-runs, RG6, speaker wire, fiber, conduit paths, central equipment rack specification) • Wi-Fi design with predictive heat map and access point placement • Lighting control on Lutron (HomeWorks QSX or RadioRA 3, designer's recommendation), with keypad locations, neutral wire and deep-box requirements documented for the electrician • Layered lighting design (ambient, task, accent, decorative) coordinated with the architectural reflected ceiling plan • Motorized window shades (Lutron Sivoia / Palladiom or compatible US-market brand), including shade pocket and header framing details the framer can build to • Whole-home audio (in-ceiling speakers, amplification, streaming zones, outdoor patio) • Den/media room AV design • Security and surveillance — PoE cameras, video doorbell, smart lock, alarm and sensor strategy • Smart thermostats with C-wire requirements per zone • Control4 as the unifying automation platform; controller and touch panel locations • Voice control recommendation • Surge protection and dedicated circuit requirements (rack, EV charger, etc.) DELIVERABLES • Low-voltage blueprint / reflected ceiling plan (RCP) overlaid on the architectural plans • Wiring schedule listing every cable: type, origin, destination, label • Wi-Fi heat map with AP locations and coverage analysis • Riser / one-line diagrams (network, AV, lighting/automation) • Rack elevation showing equipment, ventilation, power distribution • Lighting plan with fixture schedule and circuit/keypad layout • Motorized shade schedule with shade pocket and header framing details • Surveillance camera placement plan with coverage / proximity analysis • Equipment bill of materials (full BOM) with US model numbers, quantities, indicative pricing tier • Power and electrical coordination notes for the electrician (neutral wires, deep boxes, C-wires, dedicated circuits) • Construction-phase timeline showing when each decision must be locked • Summary document (5–10 pages) explaining the design and trade-offs in plain language FILE FORMATS • Scaled PDFs (full-size and 11x17 prints) AND native source files (AutoCAD .dwg preferred; Revit, SketchUp, or D-Tools acceptable — please specify) • BOM in editable Excel • Summary document in PDF and editable .docx TIMELINE — PREFERRED 3 WEEKS, ACCEPTABLE UP TO 4 • Preliminary draft within 14 days of kickoff (preferred) • Final package within 7-14 days of kickoff (preferred) If your current workload makes 3-4 weeks tight but you're a strong fit, I'm willing to extend time. State your committed timeline in your application. REQUIREMENTS • Based in the United States (will be verified) • CEDIA certification, Lutron certification, or equivalent senior US-market experience • Demonstrated experience designing whole-home Lutron + Control4 systems for US custom homes — minimum 3 comparable projects in the last 24 months • Comfortable coordinating directly with US builders, electricians, framers, and HVAC contractors • Designs to NEC code and standard US residential construction practice With your application, please submit: 1. 2–3 redacted samples of comparable past US custom-home designs (low-voltage RCP, lighting plan, rack elevation, BOM). Sample submissions are required; applications without them will not be reviewed. 2. A short note (3–5 sentences) on your US location, design platform, CEDIA / Lutron / Control4 credentials, and number of comparable US projects in the last 24 months. 3. Your fixed price. 4. Your committed timeline (2 or 3 weeks). 5. Confirmation that all deliverables transfer to me with unrestricted rights to use them for construction of my home and for soliciting Phase 2 installation bids from any qualified integrator. HOW TO APPLY Reply with the five items above. Applications that don't match the criteria in the IMPORTANT section at the top will not be reviewed.

We are looking for an experienced Quickbase user to assist with a complex report configuration. Project Details: Review an existing Quickbase application Help troubleshoot and configure a report Assist with report filters, relationships, formulas, and summary fields Provide recommendations for improving report accuracy and performance Assist via screen share or remote meeting Preferred Experience: Complex Quickbase reports and dashboards Relationships and reference fields Formula fields and summary reports User roles and permissions Quickbase Pipelines (a plus) Project Length: This is a one-hour test project. If the engagement goes well, there may be opportunities for additional Quickbase work in the future. To Apply: Please provide: A brief summary of your Quickbase experience Examples of complex reports or applications you've worked on Your availability for a one-hour session

We are seeking a PE licensed structural engineer located in Pennsylvania to do a structural calculation review and PE stamp for a new 16'x30' residential deck addition and an associated structural wall opening on an existing single-family home. To keep your billable time as low as possible, I have pre-compiled all necessary master prints, dimensions, and layout specifications The project involves working with existing blueprints to ensure the addition is structurally sound and meets local building codes. The ideal candidate will have experience in residential projects and be able to provide stamped plans for permit submission.

We are seeking a US-based computer vision and full stack developer to build a platform for sports card recognition. The project includes developing subscription management, dashboards, and user account features. The ideal candidate will have experience creating scalable applications and integrating computer vision capabilities into a user-friendly platform. Hiring: Computer Vision + Full Stack Developer for Sports Card Live Auction Overlay App (SaaS) 📌 Overview I’ve built an MVP of a real-time sports trading card scanning and comping overlay tool using Loveable.dev. The product helps buyers gain an edge during live auctions by instantly identifying cards and showing real-time market comps. Now I’m looking for a U.S.-based developer (or strong US-aligned freelancer) to take this from MVP → production SaaS. This is a subscription-based product, so I need someone who can help build something fast, accurate, scalable, and hard to replicate. 🧠 What the product does Users can: Capture or upload sports trading card images during live auctions (mobile + desktop) Instantly identify: Player Year / set Parallel / serial number Pull live market comps Display a real-time “buy / avoid / fair price” overlay The goal is speed + accuracy in live buying situations (seconds matter). ⚙️ What I already have MVP built in Loveable.dev Basic overlay + UI flow Initial comp logic concept Subscription idea (not yet fully implemented) 🛠️ What I need help building (Phase 1 → Scale) I’m looking for someone to help rebuild and harden the system into a real SaaS product: 1. Computer Vision / OCR Layer Card detection from images (mobile + desktop) OCR extraction (player name, set, serial numbers) Image recognition / matching to known cards Confidence scoring (very important — must avoid wrong matches) 2. Comp Engine (Core Value) Integrate or build system for: eBay sold listings 130point or similar comp sources Card Ladder / ALT-style pricing logic Return: last sale average comp trend direction liquidity estimate 3. Real-Time Overlay System Lightweight overlay that works during live auctions Low latency (fast lookup is critical) Works on mobile + desktop workflows 4. SaaS Infrastructure User accounts + authentication Subscription billing (Stripe) Usage tracking / rate limiting Admin dashboard 5. Scaling / Production Hardening API architecture improvements Database structure Performance optimization for real-time use Error handling for imperfect images 💡 Ideal candidate You should have experience with: Computer vision (OpenCV, YOLO, or similar) OCR pipelines AI image classification or similarity matching Full-stack SaaS development Stripe subscriptions API design (Node.js / Python / Next.js preferred) Huge plus if you have: Sports card / collectibles knowledge Experience with marketplaces or scraping pricing data Real-time / low-latency systems 🎯 Why this is interesting This is not a generic app. It’s: A real-time decision engine for high-value collectibles Built for a passionate, high-spend niche (sports cards) Subscription-based with strong monetization potential Designed for speed advantage in live auctions 📍 Requirements Must be U.S.-based (preferred for communication/time zone alignment) Must be able to work independently Must have strong GitHub/code examples Bonus if you’ve built AI or vision-based SaaS tools before 💰 Budget Open to: Hourly or fixed project 📩 To apply, please include: Relevant CV / GitHub Past AI / computer vision projects Any SaaS or startup experience Your approach to building a real-time image → comp system Availability per week

About Us We're a U.S.-based B2B technology services company (low-voltage / network infrastructure integrator — Wi-Fi, structured cabling, AV, DAS, managed services). We're scaling and need to formalize our sales commission system in HubSpot Enterprise. Important: The architecture is already fully designed. We have a 40-page developer-grade build specification (v3.1) ready to hand off after contract signing + NDA. You're executing against a spec, not designing one. If you prefer greenfield architecture work, this isn't the right gig. What's Being Built A three-object commission tracking system: 1. Deal (existing) — sales-side commission setup at quote stage 2. Project (existing) — execution-side tracking 3. Commission Record (new custom object) — individual commission events with associations to both Deal and Project Concrete Scope - ~48 new properties across the three objects (15 on Deal, ~33 on Project, 21 on the new Commission Record object) - 8 new HubSpot workflows (1 existing workflow stays untouched — you'll extend, not modify) - 5 calculated properties with specific formulas defined in the spec - A bidirectional sync pattern (Project execution data mirrors back to Deal as read-only fields) - 16 reports across 4 role-based dashboards (Sales Rep, Finance/Owner, Quote Accuracy, Sales Engineer) - 7 written test scenarios with expected outcomes Workflows Include - Lock commission baseline at Closed-Won (Deal → Project sync) - Mirror-back execution data (Project → Deal) - Commission Record creation at invoice events (with native Deal Splits handling — Operations Hub Custom Code required) - Variance check + branching at final invoice - Quote Review resolution (4 outcome branches) - Scheduled annual ARR renewal workflow - SE technical close spiff workflow - Clawback workflow for unpaid invoices Must-Have Experience - HubSpot Enterprise — Sales Hub + Operations Hub. Do not apply if you have not worked in Enterprise tier with custom objects. - Custom Object creation and configuration — properties, associations (primary/secondary), pipelines, field-level permissions - HubSpot Workflows with branching logic, scheduled triggers, multi-object enrollment, re-enrollment configuration - Operations Hub Custom Code Actions (JavaScript) — needed to iterate native Deal Splits and create N commission records per split. This is non-negotiable. - HubSpot Calculated Properties including handling nested conditional logic limitations - HubSpot Reports & Dashboards — custom report builder, multi-object reports - Native HubSpot Deal Splits feature Nice-to-Have - QuickBooks Online + HubSpot integration experience (Phase 2 work, August 2026 — separate contract if mutual fit) - Sales operations or commission accounting domain knowledge - B2B services industry context What We Provide - Full 40-page build specification post-contract (covers property inventory, workflow specs with triggers/filters/actions/branches, pipeline-specific logic for 5 delivery pipelines, calculated property formulas, 7 test scenarios, phased implementation sequence) - Existing foundation: 21 commission-related Deal properties already built and validated - Super Admin HubSpot access for the build - Direct access to operator (single decision-maker, no committee) — questions answered within 24 hours - Pre-validated technical decisions on 8 open architecture items Communication Expectations - Daily async standup (teams or email — your preference) - Weekly 30-minute video demo to operator - Architectural questions logged in shared doc