Google Voice Projects

opportunity

Build iOS & Android Frontend for Existing Platform

I am looking for an experienced mobile developer (React Native or Flutter) to build the iOS and Android applications for an existing, fully-featured web platform. The platform is a comprehensive app that connects users with local listings, a multi-vendor marketplace, job boards, and event bookings. You do not need to build any backend infrastructure. The backend is powered by Supabase, and we have 83 documented Edge Functions acting as a complete REST API. Everything from Stripe payments, auth, geocoding, and chat is already built and working on the web. Your job is purely frontend mobile development and API integration. Key Features to Implement (Mobile UI): Authentication: Email/Password & Profile setup (Supabase Auth). Discovery & Maps: Location-based search, filtering, and interactive map views for local listings. Marketplace: E-commerce product browsing, cart management, and Stripe Checkout integration. Events: Browsing and interacting with job postings and event schedules. User Dashboards: Order history, favorites, real-time chat messaging, and basic account settings. (Note: Complex admin tools and business owner dashboards will remain web-only for now to save scope). Tech Stack Requirements: Framework: React Native (Expo preferred) or Flutter. (React Native is a plus since our web app is built in React). Backend Integration: Supabase (Database, Storage, Auth) and REST APIs. State Management: Your preferred robust solution. What I Will Provide: 1. Full API documentation (Route map, endpoints, payload structures). 2. Access to the fully functioning web application for feature reference. 3. Design inspiration/guidelines for the mobile UI. Budget & Timeline: Budget: £5,000 - £6,000 (Fixed Price) Timeline: Please propose a realistic timeline in your bid. A milestone-based payment structure is preferred. To Apply, Please Include: 1. Links to 2-3 apps you have published on the App Store/Google Play. 2. Your preferred framework (React Native vs. Flutter) and why. 3. Confirmation that you are comfortable working with an existing Supabase REST API backend.

Content Manager + Outreach Manager

Content Manager + Outreach Manager: Do not apply if you don't know how to use ai for research and Bitscale/Clay or similar.Ability to use AI tools for content ideation, research, and workflow efficiency is a MUST. We’re looking for a proactive Content Manager and Outreach Manager to support personal brand growth on LinkedIn. Role Overview You will help with both content creation/posting and manual LinkedIn outreach to grow visibility, engagement, and qualified conversations. Responsibilities 1. Content Creation & Posting Create and publish 12 LinkedIn content pieces per month This includes: 4 reels/videos 8 posts/carousels/static posts Research trends and identify topics with strong viral potential Use AI tools and trend analysis to generate fresh, relevant, high-performing content ideas Ensure content matches the brand voice and audience 2. LinkedIn Outreach Do manual LinkedIn outreach Identify and reach out to prospects based on: Ideal Customer Profile (ICP) Competitor audience research Send personalized connection requests and follow-ups Keep outreach organized and targeted Requirements Experience with LinkedIn content management and LinkedIn outreach Strong understanding of current content trends, hooks, and viral formats Ability to use AI tools for content ideation, research, and workflow efficiency Good research skills to identify ICPs and competitor audiences Strong written English and attention to detail Organized, consistent, and proactive Ideal Candidate You understand how to combine content + outreach to build a strong LinkedIn presence. You stay updated on trends, know how to spot content that can perform well, and can execute outreach manually with care and precision. If you’ve worked on LinkedIn personal branding, content growth, or lead generation, please share examples of your work. Do not apply if you don't know how to use bitscale.

opportunity

Ancient History Research Paper Guidance

I need a clear, actionable plan that walks me through every stage of completing a research paper in Ancient History. Starting from refining a precise question to assembling primary and secondary sources, I want to understand exactly what to do, in what order, and why each step matters. Scope of help • Clarify how to narrow my broad interest in Ancient History into a focused, research-worthy thesis. • Show me where and how to locate credible primary records (inscriptions, chronicles, archaeological reports) and peer-reviewed secondary literature. • Explain the structure of a standard history research paper—introduction, historiography section, argument development, evidence analysis, and conclusion—so I can see how each part fits together. • Provide citation and formatting guidance, preferably in Chicago style, with examples. • Offer tips on time management and note-taking techniques suited to historical research so I can stay organised from proposal to final draft. Deliverable A concise, step-by-step guide (PDF or Google Doc) that I can follow while writing, including: 1. A sample outline tailored to an Ancient History topic. 2. A short annotated bibliography template with a few model entries. 3. Formatting and citation checkpoints for quick reference. Once I have this roadmap, I’ll feel confident tackling the assignment on my own.

Data scraping

I require an experienced data researcher / scraping specialist to extract high-quality, niche-specific data from multiple UK sources and deliver it in a clean, structured format. This is not a bulk scraping job — accuracy and relevance are critical. Scope of Work: 1. Target Data (Initial Focus) I am looking to build lists for the following niches: • Property investors (Buy-to-Let, HMO, developers) • Company directors in property-related businesses • Business owners suitable for commercial finance ⸻ 2. Data Sources You may use a combination of: • Companies House (via SIC codes & director data) • Property-related platforms (where legally accessible) • Public directories • LinkedIn (Sales Navigator filtering – manual research, not scraping if restricted) • Other compliant UK data sources ⸻ 3. Required Data Fields Each record should include (where available): • Full Name • Company Name • Role (Director / Owner) • Email Address (verified where possible) • Phone Number (if available) • Location (UK-based) • Industry / SIC Code • Notes (if relevant, e.g. property investor / developer) ⸻ 4. Data Quality Requirements • UK-based contacts only • No duplicate entries • No generic or irrelevant businesses • Data must be accurate and up-to-date • Avoid scraped junk or low-quality lists ⸻ 5. Compliance (VERY IMPORTANT) • All data must be sourced from publicly available or compliant sources • Must comply with UK GDPR guidelines • No illegal scraping or data extraction methods • No use of prohibited LinkedIn automation tools ⸻ 6. Output Format • Excel / Google Sheets • Clearly structured columns • Clean, ready for outreach use ⸻ 7. Initial Volume • Phase 1: 4000-5000 high-quality leads • Potential for ongoing weekly/monthly work ⸻ Ideal Candidate: • Experience with UK data sourcing (Companies House, etc.) • Strong data cleaning and validation skills • Familiar with B2B lead generation • Understanding of property / finance sector is a plus • Able to suggest better data sources (not just follow instructions) ⸻ Budget & Timeline: • Open to proposals based on quality • Looking to start immediately • Ongoing work available for the right person ⸻ To apply, please include: • Examples of similar data projects • Tools you use for sourcing and verification • Your approach to ensuring data accuracy ⸻ Start your proposal with: “Quality over quantity — understood” ⸻ Additional Notes: This project is focused on building a long-term data pipeline for targeted outreach campaigns. I am looking for someone reliable who can consistently deliver high-quality results.

Data scraping for influencers (automation)

Hello I’m looking for data for a specific set of influencers Specifically for influencers with 75K+ followers on Instagram or 50k subs on YouTube With an audience over 40 The influencer will be speaking on topics like financial planning, many wellbeing categories. Pls tell me how you would do this and how much you’ll charge for the data Also can we verify the engagement rate? Say per 1,000 emails and verify the emails? A Python script using the YouTube Data API v3 (free, official) and Phantombuster (Instagram) to automatically search, filter, and export influencer data to a Google Sheet or CSV. YouTube (API — Free & Clean) Use: YouTube Data API v3 Script logic: 1. Loop through keyword list 2. Search type=channel for each keyword 3. Pull channel details: name, URL, subscriber count, description, email (regex parse from description) 4. Filter: subscribers between 50,000 and 500,000 5. Export all results to CSV Keywords to loop: retirement planning lifestyle retirement vlog over 60 grandparenting tips grandma empty nest life over 50 pickleball over 50 senior fitness over 60 menopause health women over 50 midlife women wellness caregiver aging parents RV retirement full time gardening over 50 vegetable men's health over 50 medicare senior health Christian women over 50 faith retirement lifestyle active aging senior Output columns: Channel Name | URL | Subscribers | Email | Description snippet | Keyword searched Instagram (Phantombuster) Use: Phantombuster Instagram Hashtag Scraper + Profile Scraper (client will provide API key and session cookie) Script/phantom logic: 1. Run Instagram Hashtag Post Scraper on each hashtag below 2. Pull 500 posts per hashtag → extract unique profile URLs 3. Feed profile URLs into Instagram Profile Scraper 4. Extract: username, follower count, bio text, email from bio, website URL 5. Filter: followers 50,000–500,000 6. Export to CSV Hashtags to scrape: #retirementplanning #retirementlife #retireearly #grandparents #grandmalife #nanalife #grandpalife #emptynesters #lifeafterkids #over50life #pickleballlife #activeaging #seniorfitness #womenover50 #menopause #midlifewomen #caregiverlife #agingparents #seniorcare #rvlife #fulltimerv #retirementtravel #vegetablegarden #gardeningover50 #growyourown #menshealth #healthyaging #over50fitness #medicare #seniorliving #agingwell #christianwomen #faithoverfear #christianliving Output Format Single CSV, one row per creator: Platform | Handle/Channel | URL | Followers | Email | Bio/Description | Category | Source Keyword Filtering Rules (build into script) ∙ Followers: 50,000–500,000 only ∙ Skip accounts with 0 posts or last post over 60 days ∙ Skip accounts where bio contains: “under 18”, “teen”, “student”, “college” ∙ Flag rows with no email (for Apollo enrichment pass) ∙ Deduplicate on URL before export Deliverable

opportunity

Rebuild WordPress – Clean Code - SEO/ No Shortcode Dependencies

Project Overview I have an existing WordPress site (inenergyltd.com) that has been experiencing ongoing issues with a page builder plugin that keeps deactivating. I need a complete rebuild using modern, clean development practices. The content should be migrated, but the technical foundation must be free from shortcode‑dependent page builders and built for performance, SEO, and long‑term stability. 1. Scope of Work Theme & Page Builder Use a lightweight, SEO‑friendly theme such as GeneratePress, Kadence, or Astra. Build pages with the native WordPress Block Editor (Gutenberg) and a lightweight block plugin like GenerateBlocks or Kadence Blocks. Do not use WPBakery, Elementor, or any other shortcode‑based page builder. 2. Content Migration Migrate all existing content (text, images, pages) from my current site into the new build. Ensure no legacy shortcodes remain. Preserve important URLs or set up 301 redirects to maintain SEO value and backlinks. 3. Plugins & Licensing List all plugins you will install. For any premium plugins, clearly state whether I will need to purchase my own license after launch and what the annual renewal costs are. I want to avoid any situation where the site breaks because a bundled license expires. 4. SEO & Performance Install and configure Rank Math SEO (or Yoast). Set up titles, meta descriptions, and schema markup (LocalBusiness, FAQ where applicable). Optimise images (WebP, lazy loading). Enable LiteSpeed Cache (my hosting uses LiteSpeed) with appropriate minification and optimisation. Aim for 80+ mobile score on Google PageSpeed Insights. 5. Testing & Handover Build on a staging site (my host, A2 Hosting, provides staging). Provide a full backup before launch. After launch, give me a list of all plugins used, their license status, and a brief guide for basic content updates. Include 30 days of post‑launch support for any issues. What to Include in Your Proposal Fixed price for the full scope (including content migration, SEO setup, and staging). Estimated timeline from start to launch. List of plugins you plan to use, noting any with ongoing license fees. Brief description of your approach to ensure the new site is fast, secure, and easy for me to update. About My Site Current site: inenergyltd.com (energy procurement consultancy) Content: Approximately 12 pages that includes a blog section (to be added later). Hosting: A2 Hosting with LiteSpeed Cache. Important Note I’ve had a poor experience with unstable page builders and plugins that deactivated themselves. I’m looking for a developer who values clean code, transparency about ongoing costs, and a reliable final product.

Concept Design for a Modern Villa

Job title Front Entrance & Driveway Concept Design for a Modern Villa (Photos + SketchUp Provided) Job description I am looking for a creative exterior architect or landscape designer to help design the front outdoor layout of a villa currently under construction. The goal is to propose a coherent and elegant entrance concept for the front of the house, based on photos that I will provide. I can also share the original architect’s 3D model in Google SketchUp to make the work easier and more precise. The design should focus on the organization of the front exterior areas, including the access to the garage, the main entrance path, and a small parking area. Ideally, the proposal would include a ramp on the left side of the façade leading up to the garage. The pedestrian access to the front door could either be integrated within this ramp or designed as a staircase. A staircase solution where light could pass underneath the steps would be particularly interesting and architecturally appealing. One important constraint is accessibility: the design must allow someone to reach the front door using a wheelchair. The entrance should therefore include a smooth and practical accessible path. On the right side of the house, I would like to integrate a small parking area in front of the building. There are also a few specific constraints to consider. From the front door and the small patio area, there is a staircase that goes down on the right side toward the basement level. This staircase is hidden behind the small wall visible on the right side of the façade and should remain discreetly integrated into the design. A mailbox should also be included at the front of the property along the street. Finally, the far left side of the property must remain a clear passage allowing a car to drive through to access the back of the house. This circulation space must remain open and functional. Front Entrance & Driveway Concept Design for a Modern Villa (Photos + SketchUp Provided) The objective is not detailed construction drawings but strong visual design proposals that help define the look, circulation, and atmosphere of the front exterior. Deliverables ideally include visual concepts, sketches, or simple 3D views showing the proposed layout and design ideas. from the initial drawing we can discuss more $ to elaborate

Senior AI Developer /AI Automation Engineer (LLM, AI Agents,)

Job Overview: We are looking for an experienced AI Developer / AI Automation Engineer to design and build advanced AI applications, intelligent agents, and automation platforms similar to leading AI products for different industries.: • (AI-powered enterprise legal assistant) • (AI agent-based digital workforce platform) • (Generative AI business automation platform) • (AI analytics and marketing intelligence platform) These platforms leverage LLMs, AI agents, data pipelines, automation workflows, and API integrations to automate business operations, data analysis, marketing insights, and enterprise workflows. The ideal candidate should have strong experience in Generative AI, LLM development, AI agent frameworks, and automation systems. Key Responsibilities: 1. AI Application Development • Design and build AI-powered applications using LLMs • Develop AI agents capable of performing automated tasks • Implement retrieval augmented generation (RAG) systems 2. AI Agent & Workflow Automation • Build multi-agent AI systems • Create automated business workflows for: • marketing • analytics • customer support • data processing 3. LLM Integration • Integrate AI models such as: • OpenAI • Claude • Gemini • Llama • Fine-tune models for domain-specific applications. 4. Data & Knowledge Systems • Implement vector databases and semantic search • Build knowledge bases for enterprise AI assistants. 5. API & SaaS Integration Integrate AI with: • CRM systems • Marketing platforms • Google Ads / Meta Ads • analytics dashboards • internal business systems. 6. AI Analytics & Reporting Develop AI-powered analytics dashboards for: • marketing data • campaign optimization • predictive insights. Required Technical Skills AI / Machine Learning • Generative AI • Large Language Models (LLMs) • Prompt Engineering • RAG architecture • AI agents Programming Languages • Python (mandatory) • JavaScript / TypeScript • Node.js AI Frameworks Experience with at least one: • LangChain • LlamaIndex • AutoGPT • CrewAI • Semantic Kernel • HuggingFace AI Infrastructure • Vector Databases (Pinecone, Weaviate, Chroma) • Model deployment • AI APIs Cloud Platforms • AWS • GCP • Azure Databases • PostgreSQL • MongoDB • ElasticSearch DevOps • Docker • Kubernetes • CI/CD Preferred Skills • AI agent development • AI workflow automation • Data pipeline development • Marketing analytics AI • NLP systems • Chatbot / AI assistant development AI Products / Systems You May Work On Develop systems similar to: • AI Legal Assistant Platforms • AI Business Automation Agents • AI Marketing Analytics Platforms • Enterprise AI Knowledge Systems • AI SaaS Automation Tools Candidate Profile: We are looking for someone who: • Has strong experience building AI products • Understands LLM architecture and AI workflows • Can design AI SaaS platforms from scratch • Has experience building scalable AI systems Note: This is going to be a long term Full time position with good salary package. Please only apply if you are not working for any agency and you will be fully dedicated to work only with us since this is not one time project and we want those to be a part who want to be with us for long time. Best Regards Ashish

Make a (production/demo) level install of a DGX Spark cluster

Hi, I'm looking for an experienced AI infrastructure specialist — or a passionate enthusiast with solid hands-on experience — to build a robust, flexible, and high-performance backend foundation for OpenClaw (an open-source autonomous AI agent) on two NVIDIA DGX Spark systems connected via 200 GbE (ConnectX-7). The goal is a stable, demo-ready environment that showcases the power of open-source models. OpenClaw will run on a separate system and connect easily via OpenAI-compatible APIs (or equivalent best-practice interfaces). Everything should prioritize: Easy remote access and external connectivity (via Tailscale/ZeroTier). Fast performance within the hardware's unified memory constraints. Simple model switching/adding later (hot-swappable where possible). Persistent services with web UIs for live demos. On-demand tools that can spin up/down cleanly. Hardware & Current State 2× NVIDIA DGX Spark (Grace Blackwell, 128 GB unified LPDDR5x memory each, ARM64). 200 GbE interconnect + 1 GbE internet links. I have a basic cluster setup, timeshift snapshots, ZeroTier, and Tailscale already running. You're welcome to rebuild from scratch if that's cleaner and faster. Core Requirements (Persistent Where Possible) vLLM as primary inference engine with a large-context main model (e.g., Nemotron 120B or equivalent). Must support easy switching to newer models. Whisper (or best-practice alternative like faster-whisper) – ready for OpenClaw API integration. Piper TTS – ready for OpenClaw API/text-to-voice integration. All persistent services should run with clean web UIs for demo purposes. On-Demand Tools (Configured for Easy External/Tailscale Access + Web UIs) Ollama + web UI (for specific or scheduled models). OCR model + workflow (let's discuss the best option—e.g., EasyOCR/PaddleOCR—and data saving/integration with other tools). Image generation (primary for OpenClaw use) with multiple models available. LoRA training tools for image generation. RAG / vector DB (choose the best integration with OpenClaw and other tools—e.g., Qdrant, Chroma, or Milvus). Multi-agent capable dev tools / environment. Central Portal & Usability A single web-based portal (e.g., OpenWebUI or equivalent) for central access to all tools, easy model switching, admin controls, and live demos. Nice-to-Have / Optional Enhancements (quote separately if interested) Full 2-node clustering with tensor parallelism (e.g., using the open vLLM-DGX-Spark repo or Ray/NCCL). Docker Compose / lightweight Kubernetes orchestration for easy updates and portability. Monitoring dashboard (Prometheus + Grafana). NVIDIA NIM microservices for optimized inference. Any other best-practice tools you recommend for integration, speed, or flexibility. Your Profile You're deeply familiar with these tools (or eager to dive in as an enthusiast), NVIDIA DGX systems (especially Spark/Grace Blackwell), multi-node inference (vLLM, tensor/pipeline parallelism), Docker/containerization, and API integrations. You understand VRAM/unified-memory optimization and can make everything work together smoothly. Bonus if you have experience with OpenClaw, OpenWebUI, RAG pipelines, or agent frameworks. Proper English communication (written and spoken) is a must for smooth collaboration. Timeline & Expectations We have a tight deadline — I need a stable, running environment live as soon as possible. You're completely free to experiment, test, and play around with different configurations during setup, but the priority is delivering a functional, demo-ready system quickly. Speed matters, while still maintaining quality and stability. Compensation Competitive hourly rate (fully flexible and based on your region, experience, and the exact scope) or a fixed-price project bid if preferred. I'm completely open to discussion—propose whatever rate works best for you and your location. This project serves as a test case for potential further collaboration and ongoing work if it goes well. If you're the right fit, there will be plenty of exciting follow-up opportunities. Work Style & Availability This is remote work. I am completely flexible on working hours and not EU-bound. As long as you're excellent at what you do, I'm happy to work with talent from anywhere in the world (including low-income countries—great people deliver great results everywhere). If this sounds like a good fit, reply with: Your relevant experience (especially with DGX Spark, vLLM multi-node, or similar stacks — enthusiasts with strong practical knowledge are very welcome). Rough timeline and cost estimate (with your proposed rate). Any questions or suggested improvements. Looking forward to building something powerful together!

Build UK activity and experience operator company database

Overview We are building a structured database of UK activity, tour and experience operators. This is a research-focused project requiring accurate company information plus verified senior decision-maker contact details. Pricing Structure & Proposal Requirements This project is structured as fixed-price batches. We are not publishing a budget range and will be assessing proposals based on methodology, accuracy and commercial fit. Proposals without clear pricing will not be considered. Please provide fixed prices for the following: Trial Batch: 50 completed records Production Batch: Per 1,000 completed records Your proposal should also include: Estimated turnaround time per batch Scope of Work – UK Operator Research (Manual List Building) Research UK-based operators that both take bookings and directly deliver experiences, tours or activities themselves. Include only the actual service providers. Exclude agents, resellers, marketplaces, aggregators or any business that does not run and fulfil the activity in-house. Companies must control and fulfil the experience themselves and must not operate solely as listing platforms, brokers, agents, or ticket resellers. Use the attached market categories document as the target markets. Data Required (columns in spreadsheet) Company Information Company Name Website URL City or Region (UK only) Activity Category Source (Google Maps, Tripadvisor, Viator, GetYourGuide etc.) Decision-Maker Information Full Name of Senior Decision Maker Job Title (Owner, Founder, Managing Director, General Manager, Head of Operations etc.) LinkedIn Profile URL Verified Work Email Address (personalised to the named contact only) Mobile Phone Number (if publicly available) Office Phone Number Booking system used (Bókun, FareHarbor, Rezdy, TrekkSoft, Regiondo, Beyonk, TicketingHub, Bookeo, BookingLive, Xola, bookinghound etc) Quality Expectations UK-based companies only Must have a working website Senior decision makers only Emails must be verified and belong to the named individual Email addresses must be validated using recognised professional verification methods and must not be guessed, pattern-generated, or sourced from bulk lead databases. No generic inboxes Phone numbers must be publicly listed or clearly attributable to the company Profiles must be validated against a current LinkedIn page LinkedIn profiles must clearly show the individual’s current role at the listed company. Profiles without visible company alignment may be rejected. No duplicates One company per row Quality Benchmarks Relevance (Pass / Fail) Companies must be genuine operators that run and deliver their own activities. Decision-Maker Accuracy Contacts must hold senior roles such as Owner, Founder, Managing Director, General Manager or Head of Operations and be validated via LinkedIn. Email Standards Only verified work emails for the named senior decision maker are accepted. Data Structure & Consistency Correct spelling, clean clickable URLs and consistent formatting are required. Trial Batch Benchmarks The first batch will be reviewed against the following benchmarks: Minimum 80% relevant companies Minimum 60% verified senior emails Project Structure & Commitment Phase 1 – Trial Batch The project will begin with an initial trial delivery of 50 completed records. This phase will be used to evaluate research quality, relevance and adherence to the requirements. Phase 2 – Scaled Delivery If the trial batch meets expectations, the project may continue in larger batches of up to 1,000 records at a time. Flexible Engagement This is an ongoing research engagement rather than a fixed-volume contract. Work may be paused or stopped by the client at any stage, during or after any batch, without further commitment or obligation and for any reason. Additional batches must not begin without explicit approval. File Format Microsoft Excel (.xlsx) or Google Sheets format only UTF-8 compatible text formatting Data Ownership All data created as part of this project becomes the sole property of the client upon payment and may not be reused or resold elsewhere. Right to Pause or Stop The project may be paused or stopped after any delivery for any reason by the buyer. Client Acceptance Rights The client reserves full discretion to accept or reject any submitted batch based on relevance, accuracy, structure, or adherence to the requirements outlined in this brief. Acceptance is confirmed only when the client explicitly approves the batch in writing within the platform. If a batch does not meet expectations or benchmarks, the client may reject the submission and discontinue the engagement immediately. If a batch is rejected, the client will not release payment for that milestone. Trial Batch Evaluation The initial 50-record trial batch will be assessed against the stated quality benchmarks. Failure to meet benchmarks may result in rejection of the batch and closure of the contract without further obligation.

Needs full website redesign with SEO. Experienced developers onl

Job Post: Complete Website Redesign — Luxury Serviced Accommodation Brand (London) Title: Website Redesign + SEO for Award-Winning Serviced Accommodation Company Budget: Open to quotes (one-off + optional monthly retainer) About Us Stay Smart is an award-winning serviced accommodation operator managing a growing portfolio of short-term rental properties across prime London locations including Golders Green, Fulham, Bermondsey, Deptford, and Farringdon. We've been recognised as: Emerging Luxury Serviced Apartment Brand – London 2025 (Real Estate Insider) Accommodation Specialists of the Year – London & South East England (Prestige Awards 2026/27) Current website: https://stay-smarter.com/ Project Overview We need a complete website redesign — not a refresh, a full redo. The current site does not reflect our brand positioning as a luxury serviced accommodation provider. We're looking for a developer/agency who can deliver a modern, high-converting website that matches the quality of our properties and industry recognition. Scope of Work Full website redesign & development — clean, modern, luxury feel Pages required: Home, About Us, Contact Individual property listing pages per location (5 locations) Location-specific landing pages for local SEO visibility Service pages (Airbnb Management, Become a Host, etc.) FAQ, Privacy Policy, Terms & Conditions Enquiry/booking forms with automated email submissions SEO implementation: Full on-page SEO optimisation Schema markup for enhanced search results Google Business Profile setup & optimisation Location-specific SEO strategy Analytics & tracking setup (Google Analytics, etc.) Mobile-responsive design across all devices Fast load times — performance-optimised Newsletter signup integration What We're Also Interested In (Optional / Quote Separately) Ongoing website maintenance & updates Hosting (if included in your offering) Automated blog setup CRM integration Local business optimisation (citations, directories, etc.) To Apply, You MUST Include: Applications without the following will not be considered. Portfolio link — show us at least 2-3 websites you've designed and built (live URLs, not mockups) At least one project in hospitality, property, or short-term rental — we want someone who understands the space Detailed quote broken down into: One-off design & development fee Monthly fee (if applicable — for maintenance, hosting, SEO) Any additional costs Estimated delivery timeline Tech stack you'd recommend and why (WordPress, custom build, etc.) Your maintenance/support offering — what happens after launch? Ideal Candidate Proven experience building websites for hospitality, property management, serviced accommodation, or vacation rental businesses Strong portfolio of live websites (not templates or demos) SEO knowledge — not just keywords, but schema, local SEO, and technical SEO Excellent communication and clear project timelines Based in UK or comfortable working in UK timezone How We'll Decide We are evaluating multiple developers and will create a shortlist based on: Quality and relevance of portfolio Value for money (not necessarily the cheapest) SEO capability Communication and professionalism Maintenance/long-term support offering We aim to make a decision within 2 weeks of receiving all quotes. To get in touch: Please reply with the items listed above, or message us to arrange a quick call.

opportunity

Trading bot development

Project Overview We are building a high-performance, low-latency trading engine designed for microstructure-based execution strategies in a high-tax (STT) environment. This is NOT a basic retail trading bot. This system requires advanced system-level engineering, multi-core CPU architecture control, shared memory communication, and real-time observability dashboard. The focus of this project is minimizing latency between signal generation and order execution while maintaining regulatory compliance (Order-to-Trade Ratio constraints). The developer must understand low-level performance optimization, concurrency architecture, and Linux system behavior. Core Technical Requirements Python Version (Mandatory) The engine must use: Python 3.13 Free-Threaded build (3.13t) NOT standard Python 3.10–3.12 Reason: Standard Python uses the Global Interpreter Lock (GIL), which blocks true parallelism. In low-latency systems, a 1–2ms delay caused by GIL contention is unacceptable. Multi-Core Architecture with CPU Core Pinning The engine must: Assign specific modules to specific CPU cores Use os.sched_setaffinity (Linux only) Prevent OS core migration (avoid context switching) Modules include: Sentinel (Risk & OTR monitoring) Sonar (Market entropy / regime detection) Oracle (Signal calculation loop) Execution Engine (Order placement) The goal is to eliminate unpredictable latency spikes caused by OS scheduling and cache invalidation. Inter-Process Communication Standard Python queues are NOT acceptable. Communication must use: multiprocessing.shared_memory Memory-mapped buffers Lock-free ring buffer architecture Reason: Standard queues introduce locking and object allocation overhead, increasing latency. The target is sub-millisecond internal communication between signal generator and execution engine. Latency Measurement The system must measure: End-to-end order placement latency Round-trip time (RTT) Module processing time Using: time.perf_counter_ns() Latency histogram logging This data must be streamed to the dashboard. Order Execution Logic The system should: Prefer passive limit orders Include 200ms cancel logic Manage Order-to-Trade Ratio (OTR) Implement controlled order flooding logic (compliant with broker rules) This is not a simple market order bot. FRONTEND REQUIREMENTS (React Dashboard) The frontend is NOT a trading UI. It is a real-time monitoring and control cockpit. Preferred stack: React (Vite or Next.js) WebSocket for live streaming Lightweight charting (Canvas or WebGL-based) Required Dashboard Modules Sentinel Panel Real-time RTT graph 20ms lockdown threshold indicator CPU usage per pinned core Emergency status Sonar Panel Market regime indicator (Attack / Veto mode) Entropy score display Zero-trust gate status Oracle Panel Weighted Order Book Imbalance (WOBI) heatmap Liquidity imbalance % Signal strength score Must use high-performance rendering (Canvas, not heavy SVG). Execution Panel Net Expected Value (NEV) Fill rate % Cancel rate Order-to-Trade Ratio (OTR) status Emergency Kill Switch Dashboard must include: Global kill switch Sends signal to monitoring service Monitoring service writes flag to shared memory Engine halts immediately Dashboard must NOT communicate directly with broker API. Deployment Requirements Linux-based environment (Ubuntu preferred) Dockerized setup preferred Separate processes: Trading engine Monitoring microservice React frontend Google Cloud compatible. 10 MOST IMPORTANT SKILLS TO ADD Attach these skills on Freelancer: Python 3 (Advanced Concurrency & Multiprocessing) Must understand GIL, free-threaded builds, shared memory. Low-Latency System Design Experience reducing microsecond-level bottlenecks. Linux System Programming Knowledge of CPU affinity, process scheduling, performance tuning. Multithreading & Multiprocessing Architecture Designing multi-core optimized applications. Memory Management & Shared Memory IPC Experience with mmap, shared memory buffers. Financial Market Microstructure Knowledge Understanding order books, liquidity imbalance, passive vs aggressive orders. WebSocket & Real-Time Streaming Required for live dashboard data. React.js (Performance-Optimized UI) Real-time data rendering without UI lag. Performance Profiling & Benchmarking Must measure and optimize latency. Cloud Deployment (Google Cloud / Linux VM / Docker) Production-ready deployment experience. VERY IMPORTANT Add this to filter weak developers: Applicants must answer the following: Have you worked with Python shared memory or mmap before? Have you implemented CPU core pinning on Linux? How would you measure internal engine latency? How would you prevent dashboard from affecting trading engine performance? This will eliminate 80% of generic bot developers.

opportunity

AI Monitoring Platform for UK Company Alerts

Project Title: AI Monitoring Platform for UK Company Financial Distress & Insolvency Alerts (SIC-Based) Project Overview: I’m looking for an experienced developer (or small team) to build an AI-powered monitoring platform or intelligent agent that tracks UK companies within pre-defined SIC codes and automatically alerts me when there are signs of financial distress or insolvency. The system should continuously monitor company data, detect risk signals, and provide both real-time alerts and structured reporting. Core Objective: To proactively identify companies within selected industries that are: Experiencing financial decline (e.g. credit score drop) Entering insolvency processes (e.g. notice of intent to appoint administrators) Showing early warning signs of distress Key Functional Requirements: 1. Company Data Collection The platform must: Pull and maintain a live database of UK companies filtered by selected SIC codes Sources should include: Companies House API Commercial data providers such as Creditsafe, Experian, Dun & Bradstreet (or similar via API) 2. Data Monitoring (Automated & Ongoing) The system should periodically (daily or weekly) re-check and update the following: Credit score (via commercial providers) Filing timeliness (overdue accounts, confirmation statements, etc.) Insolvency indicators: Notice of Intent to Appoint Administrators Administration Liquidation CVAs Director changes: Appointments Resignations 3. Financial Data Enrichment (Important) Where available, the platform should also pull and display from latest filed accounts: Turnover / Revenue Balance sheet data (e.g. total assets, liabilities, net assets) This can be sourced from: Companies House filings (accounts data) Or via commercial data providers if more structured/standardised 4. Alert Triggers The platform must generate alerts when: A company’s credit score drops by 5% or more Include the exact percentage drop in the alert Any insolvency-related event is detected, including: Notice of Intent for Administration Administration Liquidation 5. Alert Delivery Alerts should be sent via: Email (minimum requirement) Ideally also: Slack / Microsoft Teams Web dashboard notifications 6. Reporting (Key Requirement) The system must automatically generate and send: Daily report Weekly report Monthly report Each report should be delivered as a spreadsheet (Excel or Google Sheets) and include: Columns to include (minimum): Company Name Company Number SIC Code Date of event/activity Type of event (e.g. credit score drop, insolvency notice, director change) Previous credit score New credit score % change in credit score Filing status (on time / overdue) Insolvency status Director changes (summary) Turnover (latest available) Key balance sheet figures (assets, liabilities, net position) Reports should clearly show date-stamped activity and allow filtering/sorting. 7. Dashboard / Interface (Preferred) A simple dashboard to: View and filter companies by SIC code Track alerts and risk levels View historical changes and trends Export data 8. AI / Intelligence Layer (Optional but Preferred) Identify early warning signals before insolvency Highlight patterns (e.g. repeated late filings + score decline) Rank companies by risk level or likelihood of distress Technical Requirements: Experience integrating APIs (Companies House + credit agencies) Ability to build automated data polling (scheduled jobs) Cloud-based database and infrastructure Alerting and reporting automation Scalable architecture Data Sources (Must Be Used): Companies House API (free, primary source) Commercial credit data providers such as: Creditsafe Experian Business Dun & Bradstreet Please advise on: Best provider(s) to use API access requirements Ongoing data/licensing costs Deliverables: Fully functioning monitoring and alert system Automated reporting (daily, weekly, monthly) Spreadsheet output format Documentation and user guidance Ability to adjust SIC codes and thresholds Optional ongoing support Nice to Have: CRM integration (e.g. Zoho) Webhooks for automation Customisable reporting Data visualisation Budget & Timeline: Open to proposals – please include: Estimated cost Timeline Recommended tech stack Relevant experience / similar projects