Deliverable Requested from Developer Build a Google Workspace solution that: 1. Monitors incoming emails in slab-sewer@, rough@, and trim@ 2. Uses AI (Gemini, OpenAI, or similar) to classify severity and category 3. Automatically applies Gmail labels 4. Marks RED items as important 5. Runs automatically every few minutes 6. Requires no action from Project Coordinators Success Metric: A Project Coordinator can open their inbox and instantly identify which emails require immediate action versus which can wait until later in the day, without manually reading and sorting every message.

Need: A verified lead list — 50–75 decision-maker contacts at small private California businesses: healthcare clinics, behavioral/mental health, senior living, home care, dental groups, social services, cannabis retail. 10–100 employees, California only. Many of these are small private companies whose best email is on their own website, not in ZoomInfo or Sales Navigator — so this is hands-on sourcing, not just a database export. For each company: find the owner / office manager / operations contact, get their work email, and verify it through Hunter.io (must return valid — no guesses, no catch-all). Deliver in this exact column order: Company | Contact Name | Title | Email | Source | Status. Research + data entry only — no outreach. Accuracy over volume; I'll check bounce rate on the first 10. A clean first batch leads to ongoing weekly work.

This is what I am looking for: Long Beach, CA - all dispensary info ~10 fields to fill-in Los Ángeles, CA - all dispensary info ~10 fields to fill-in Please let me know how you would approach this within your tech stack. I also need a quick turn around, so let me know how long it would take you to complete? There should be about 200 records in total. Ive attached a copy of my table for your review. Thank you!

I am real estate investor in need of help to set up and maintain a data scrap app for lead research. App would download PDFs and scrap data, then dump into a spreadsheet. Once data is scraped and in excel, then app needs to go to 4 differnet platforms to process and optimize the leads. Looking for long term help maintaining the programs.

I have a file with the name, address, zip code and county of 5,550 retail businesses in the U.S., such as Quick-Serve Restaurants. 650 of the total 5,550 are rented units or suites of a larger building, while the remainder appear to be free standing buildings. I need a highly credible estimate of the square footage for each free standing building, and for as many of the rented units / suites as possible. For all locations, I need: Year Built, Roof Shape, Roof Cover, Number of Stories of the building. Finally, I need Construction Type where available.

We are seeking a skilled freelancer to build a social listening tool that can scrape data from various online sources. The tool should be able to handle large volumes of data and provide insights into social media trends and user interactions. The ideal candidate will have experience in data scraping and social media analysis, and be able to develop a tool that is efficient and reliable. Prior to contract, I'd like to have a 15 minute discussion that gets into specific needs and uses for this tool

We are seeking a skilled freelancer to download an Excel file from Bloomberg, applying 7 specific filters to the Russell 2000. The ideal candidate should have experience working with Bloomberg Terminal and be proficient in Bloomberg & Excel data manipulation. If you are detail-oriented and can work efficiently under time constraints, we would love to hear from you. Must have file ASAP. Ongoing role possible for successful candidate

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

We are seeking an experienced AI Data Mining and Lead Generation Team to help us build and scale two distinct sales verticals through advanced AI prospecting, automation, data enrichment, and lead qualification. This is not a simple list-building project. We are looking for professionals who understand how to leverage modern AI tools, automation platforms, CRM systems, and data intelligence to identify qualified prospects, verify contact information, and create systems that consistently generate meetings and sales opportunities. Our goal is simple: Vertical #1: Custom Apparel Sales Through The Tee Shirt Store, we provide custom apparel solutions for: Schools Sports teams Churches Nonprofits Small businesses Corporate organizations Fundraising campaigns Events and conferences We need qualified buyers actively looking for custom apparel, screen printing, embroidery, promotional products, and branded merchandise. Vertical #2: Youth Entrepreneurship Education Through Education With A Profit, we deliver entrepreneurship education programs designed to help youth develop business, leadership, financial literacy, and entrepreneurial skills. We need introductions and meetings with: Youth organizations Community organizations Workforce development programs Nonprofits serving youth Corporate community outreach departments Foundations and grant-funded programs What We Need You To Build The ideal candidate or team will: AI Lead Generation Systems Develop AI-powered lead sourcing processes Build automated prospect identification workflows Create lead scoring systems Implement contact verification procedures Use data enrichment tools to improve lead quality Reduce manual prospecting through automation Qualified Lead Acquisition For Custom Apparel: Identify decision-makers responsible for apparel purchasing Verify contact information Capture buying signals Prioritize high-intent prospects For Entrepreneurship Education: Identify educational leaders and program decision-makers Locate grant-funded and budget-approved opportunities Identify organizations actively seeking youth programs Build targeted outreach databases Automation & CRM Integration CRM setup and optimization Automated lead routing Follow-up automation Meeting scheduling integration Reporting dashboards Pipeline tracking AI Outreach Optimization Email personalization systems Prospect segmentation Multi-channel outreach workflows Lead nurturing sequences Appointment-setting automation

I have 5 separate lists that are currently home addresses in the US valued at $7M+ USD. Other then the address, I have what I believe are the correct first and last names of the home owners. Given each home is minimum $7M, it is safe to assume each person on the list is UHNW (ultra high net worth). As such, this should be taken into high account as you work on this project. The project itself will require you to use Google, Linkedin, and other online resources to identify the owners employment data. I will specifically want you to find the job title, and company name of each person. Keep in mind, there are many instances where people have generic names, and there might be several people with the same first and last name within a geographic area. You will need to evaluate which is likely to be the correct person based on the UHNW aspect. This means that most of the correct people will work in positions of power - C-level exuctive, MD, Partner, celebrity, investor, doctor, surgeons etc etc. There will be some instances where the owners do not have much of an online footprint and have inherited their money, earned it in a divorce, spouse of the breadwinner for the family, or other unusual ways. This is not the norm, but should be considered. I will want to understand your previous experience here so I can decipher your ability to complete this project with little to no error. It is not an easy project given the earlier examples of many people having the same name, or not having much of an online presence. In special circumstances, you can list two people who you think are the correct person if there are two or three close calls, these people will need to be reviewed together with me before a final submission is accepted, as we will then delete any duplicates. Further making this project difficult is the fact that while most people will live within the same geographic metropolitan area as the listed home addresses, this is not always the case as some people have two or three homes, and the listed address could be their vacation home. Some locations are more known as vacation destinations then full time residences, so you will need to take this into account. Many UHNW people have articles written abobut them, or photos on google images, and in my experience, searching both owners together and the city that the home is listed can help with the search. On rare occasion, you will simply not be able to find any employment data online for the listed owner. These addresses will need to be re-checked to confirm whether or not the listed owner is actually the correct person. If not, we will need to correct the list with the correct property owner name, and then research as noted above. Some owners are LLCs, and you will need to have a process for researching the LLC to find the actual human owner. Note, many "agents" listed behind LLC's are not the owner, but rather an attorney who created the LLC. We want owners only, so more detailed digging might be required. Please provide an estimated time for completion, previous work you have completed similar to this, whether you are a team or a sole proprietor, and your review process to ensure that completed work is thoroughly checked before submitting to me for completion. List 1 - about 1,050 rows List 2 - 1,116 rows List 3 - 606 rows List 4 - about 8,043 rows List 5 - about 2,500 rows Finally, please propose a fixed cost (either per list or total for all 5) and milestones you plan to break the project up into. Please do not reach out to me outside of this platform, I will not respond.