🧠 Discord Bot Developer Needed (Sports + Esports EV+ Bot) I’m looking for a developer to build a Discord bot that tracks live betting odds for both traditional sports and esports and identifies positive expected value (EV+) bets. like in the video under neath but with esports as well https://youtu.be/vaQ7vSeEEYA?is=NiQVDKh5sGs36Bo5 ⸻ ⚙️ What the bot should do: * Pull live odds from APIs (must use The Odds API + OddsJam where possible) * Update odds every 5 minutes (real-time scheduled refresh system) * Support moneyline, spreads, and totals * Calculate implied probability + EV% * Detect and alert EV+ betting opportunities in Discord * Support sports (NBA, NFL, MLB, soccer, tennis) + esports (CS2, Valorant, LoL, Dota 2) ⸻ 🤖 Discord features: * Slash commands (moneyline odds, match info, EV+ alerts) * Real-time EV+ notifications * Optional user roles (free/premium) * Configurable EV threshold alerts ⸻ 🧰 Tech: * Python (preferred) or Node.js * API integration + database (MongoDB or PostgreSQL)

Slackbot Developer (API Integration, Single Sign-On) We’re looking for an experienced developer to build a custom Slackbot that integrates with our existing APIs. This application will run as a small Python app on Heroku, hosted by Qwoted. The goal is to create a seamless, user-friendly bot that authenticates via Single Sign-On, can interact with our platform, retrieve data, and trigger actions directly within Slack. This is a freelance project with potential for ongoing work as we expand functionality. What You’ll Do Design and develop a Slackbot using Slack’s APIs (Events API, Web API, or Bolt framework) Integrate our existing REST APIs into the bot Build structured workflows (buttons, forms, popups) Ensure secure authentication and handling of API requests Test, deploy, and document the solution Collaborate with our team to refine use cases and user experience Key Features We’re Looking For Ability to trigger actions via Slack (e.g., commands, buttons) Pull and display data from our APIs in a clean, readable format Handle user authentication Scalable structure so we can add features over time Requirements Proven experience building Slack apps/bots Experience connecting outside logins into an existing system a prominent requirement: single sign-on, automatic account creation Strong experience with API integrations (REST/JSON) Experienced in Python Familiarity with Slack Bolt framework (preferred) Understanding of authentication methods (OAuth, API keys, etc.) Ability to write clean, maintainable, and well-documented code Project Details Project Type: Freelance / Contract Duration: Short-term (with potential extension) Start: ASAP To Apply Please include: Examples of Slackbots or similar integrations you’ve built Brief description of your approach to this project Estimated timeline and cost

We are looking for a hands-on senior Python/FastAPI trading-system developer with strong testing, debugging, and broker API experience. This person should be able to work inside an existing codebase, identify what is breaking, fix the issues, and prove the fixes with tests, logs, API output, and dashboard evidence. Ideal experience: • Python backend development • FastAPI • MongoDB • Heroku logs and deployment workflow • React/TypeScript frontend debugging • Alpaca API or similar broker API experience • Trading bot lifecycle experience • Automated testing and regression testing • Market data, candle/bar data, indicators, and timestamp handling • Ability to trace scanner → scoring → decision → order readiness → position state → sell/hold logic This is not a rebuild project. The goal is to test and repair the current system.

We are developing a hybrid system, Needing coding for c# into ninjatrader, qml layering w/ python or other, Looking to do something different here, not the norm, thinking outside the box

**Project Overview:** I am looking for an expert developer to build a lightweight desktop stock ticker application (Windows/macOS preferred) where the MAIN focus is high-utility, fully customizable AUDIBLE alerts. I want to monitor the markets by ear without constantly staring at my screen. The app will feature a customizable "Quote Builder" layout running on fast user-defined refresh loops, but the sound engine is the absolute priority of this project. **Core Audio Requirements (The Main Point):** * Event-Driven Sound Profiles: I need to assign distinct, custom text-to-speech (TTS) speeds, pitches, or triggers based on user-defined price movements. * Directional Audio Logic: Distinctly different tone pitches or speech profiles for "Up" ticks versus "Down" ticks so I can instantly hear market direction. * Speech Profiles: A drop-down menu to toggle between "Standard Mode" (reads full labels: "Tesla 100, up 2, bid 99...") and "Pro Mode" (strips all labels for high-speed tracking: "TSLA, 100, up 2, 99..."). * Global Panic Mute: Hitting the Spacebar or a dedicated hotkey must instantly mute/unmute all active audio feedback immediately. * API Key Settings & Data Feeds: The app must use a "Bring Your Own Data Feed" architecture. It must feature a configuration settings screen where users input their personal, API credentials (keys and tokens) to feed data into the ticker. * Brokerage Dropdown Selector: The UI must include a simple drop-down menu allowing users to choose which data provider or brokerage connection to activate (e.g., [Dropdown: Alpaca Markets, Polygon.io, Interactive Brokers, Yahoo Finance]). The developer must build modular data adapters for these connections. **Data & Interface Requirements:** * Custom Quote Builder: Ability to save layout templates choosing from fields like Symbol, Last Price, Up/Down, Bid/Ask Size, Day High/Low, Open, and Close. * Fast Polling Loops: Drop-down selector for data intervals per ticker: 1 second, 5 seconds, 30 seconds, 1 minute, or 5 minutes. * Multi-Monitor Support: Global hotkeys to switch saved templates instantly without needing the app window to be in active focus. * Ticker Looping: Supports inputting a single ticker or a comma-separated list to cycle through multiple stocks on the interval loop. **Budget & Contract Setup:** * Contract Type: Fixed-Price * Total Project Budget: $3,000 (To be broken into milestones upon signing an NDA) ⚠️ CRITICAL: You must start the very first word of your cover letter/proposal with the word "TICKER" to prove you are a human and not an automated bot. If your proposal does not start with the word "TICKER", it will be instantly declined without review. Please reply by explaining your experience with asynchronous programming, audio-based desktop systems, or handling high-speed financial APIs (like Alpaca or Polygon.io). Selected candidates will be asked to sign an NDA before receiving the full requirements document.

Hi, we're building an AI-powered voice and chat system for our business website and need someone experienced to set it up end to end including integrating everything into our website. Here's what we need you to complete: A voice agent that can handle inbound calls and sound natural (not robotic) A chat agent embedded on our website that can answer questions, qualify leads, and book appointments Website integration - embedding the chatbot, building a clean landing/contact page if needed, and connecting forms to our backend N8N workflows to connect everything - CRM updates, notifications, follow-up emails, and more We've looked at tools like Retell AI, VAPI, and ElevenLabs but open to suggestions. Same with the backend - we just want something solid and reliable. Budget is $500–$1000 depending on scope and we want to move fast - ideally within 1-2 weeks. Please only apply if you've actually built something like this before. Share an example or two and tell us how you'd approach it.

Forum Intelligence: Project Brief & Initial Rollout 1. Executive Summary & Objective Forum Intelligence is a beginning as a localized data retrieval, processing, and archiving system designed to scrape public municipal records and state legislative data for public oversight. The immediate objective is to build a functional, highly resilient prototype focused on the Tri-Cities region (Burbank, Glendale, and Pasadena, California). The system will autonomously ingest messy, unstructured municipal data (City Council meeting minutes, agendas, public notices, and legislative PDF text, recorded mp4), clean it, and make it fully searchable and queryable via a localized AI agentic framework. 2. Phase 1 Scope: The Tri-Cities Rollout Th engineer will be responsible for building two primary pillars: A. Resilient Scraper Bots • Target Ingestion: Monitor and pull data from Burbank, Glendale, and Pasadena municipal portals and California legislative feeds. • Data Types: Brittle HTML sites, heavily nested tables, public notices, legislative drafts, and massive unstructured PDF archives. • Requirements: The scraping architecture must be exceptionally robust, utilizing intelligent error handling, retry semantics, and pagination tracking to handle frequent municipal website layout changes without breaking the pipeline. B. Ingestion & Vector Pipeline • Parsing: Extracting clean text from poorly formatted documents and scanned PDFs. • Local RAG (Retrieval-Augmented Generation): Chunking and embedding the data locally into a vector database (e.g., pgvector, Chroma, or Milvus) to enable semantically accurate entity linking and contextual search. 3. Targeted Hardware Stack To ensure maximum data security, strict public oversight integrity, and predictable operational costs, Forum Intelligence is skipping commercial cloud APIs in favor of an on-premise, localized NVIDIA enterprise deployment. The production roadmap aligns precisely with the new computing patterns detailed in NVIDIA’s latest hardware roadmap: • Inference & Token Generation: Running local open-weight frontier models (e.g., Neotron 3 Ultra or Claude/Llama equivalents) optimized for reasoning and long-context tool use. • Compute & Orchestration: The backend infrastructure is architected around NVIDIA’s dedicated agentic architecture, utilizing high-instructions-per-clock (IPC) Vera CPUs paired with Vera Rubin GPUs. • Memory & Storage Processing: Utilizing NVIDIA’s unified memory fabric and data processing units (DPUs) for ultra-low latency context management, KV caching, and fast vector database retrieval. 4. Immediate Milestones for the Engineer 1. Architecture Design: Map out the database schema and local inference ingestion loop. 2. Tri-Cities Scraper Deployment: Write and deploy the initial automated bots for Burbank, Glendale, and Pasadena. 3. Local MVP Pipeline: Demonstrate a local RAG pipeline where a user can query the Tri-Cities scraped records and receive grounded answers with exact source attributions. The above was AI generated from months long conversations with Gemini. The goal is to prove the concept then roll out to LA County, state of CA, and then the country.

Looking for an experienced Claude AI expert to help build and optimize AI workflows, agents, prompts, and automations. This is a immediate position to start right away. Needs: Strong Claude / Anthropic API experience Advanced prompt engineering AI agent and workflow automation experience API integrations Python, JavaScript, or Node.js RAG / vector database experience preferred Please share relevant Claude projects.

I need someone to build reporting in GA4 that will identify and remove bots to see a clear picture of actual bounce rate. The task involves creating a report to filter out bot traffic and provide insights on bounce rates. The ideal candidate should have experience with Google Analytics 4 and data analysis.

We are looking for an experienced AI automation developer to build a private executive assistant named Jarvis for a business owner named Vince. Jarvis must operate as a professional, respectful, fast-moving executive assistant. The assistant will communicate with Vince through iMessage, access his Google Calendar, remember important information, send meeting reminders, and maintain local files/data on an office iMac. This is not a basic chatbot. We need a working AI assistant that can hold real conversations, remember context, anticipate needs, and protect Vince’s time. Core Requirements The assistant must: Communicate with Vince through iMessage on macOS. Store all data, memory, and files locally on the office iMac. Access Vince’s personal Google Calendar. Send Vince a message 20 minutes before meetings. Remember meeting times, preferences, important facts, and prior conversations. Use context from previous messages and stored memory. Start conversations professionally with: “Hello Sir. What do you need today sir.” Maintain a direct, respectful, professional tone. Avoid fluff, long explanations, repetition, and unnecessary questions. Understand that Vince has zero tolerance for wasted time. Validate Vince’s instructions and respond with useful answers quickly. Ask onboarding questions at first launch to learn Vince’s occupation, goals, priorities, communication preferences, daily routines, and assistant expectations. Be built in a way that can expand later into email, task management, document handling, and proactive reminders. Important Personality / Communication Rules Jarvis must be designed around Vince’s communication style: Direct. No fluff. No jargon. Lead with the answer. Never ask for information Vince has already provided. Protect his time, brand, relationships, and workflow. Jarvis should function as an executive personal assistant whose purpose is to remember everything so Vince does not have to repeat himself. Technical Scope The developer should be comfortable with: macOS automation. iMessage / Messages.app integration. Google Calendar API. Local file storage and local memory architecture. AI agent frameworks. Cron jobs or scheduler-based reminders. Secure credential handling. Local database or file-based memory. Python, Node.js, or similar automation stack. Optional: BlueBubbles, AppleScript, Shortcuts, SQLite, vector database, local LLM tools, OpenAI API, Claude API, or similar. There is already a macOS/iMessage path available using CLI-based message tooling, but we are open to the developer recommending the best reliable implementation. Existing iMessage automation concepts include sending, reading, and watching message history through macOS Messages.app tooling. Deliverables We need the developer to provide: Working Jarvis assistant installed on the office iMac. iMessage communication with Vince. Google Calendar integration. Automatic 20-minute meeting reminders by text. Local memory system. Local file/data storage structure. First-run onboarding question flow. Prompt/personality system for Jarvis. Basic admin documentation showing how to restart, update, and maintain the assistant. Security notes for credentials, permissions, and local storage. Testing checklist proving iMessage, memory, reminders, and calendar sync work. First-Run Intro Flow Jarvis should text Vince an introductory message and ask important setup questions such as: What is your primary occupation? What are your top business priorities right now? What meetings or events should I always remind you about? Who are your key contacts? What should I never interrupt you for? What should I always notify you about? What tone do you prefer from me? What daily reminders would make your life easier? What are your current goals for the next 30, 60, and 90 days? Ideal Candidate The ideal freelancer has built AI agents, personal assistants, calendar bots, local automation tools, or macOS/iMessage workflows before. We want someone practical who can build a reliable working system, not just create a demo. Please include: Similar AI assistant or automation projects you have built. Your recommended tech stack. How you would connect iMessage. How you would handle local memory. How you would secure calendar credentials. Estimated timeline. What you need from us to start.