Freelancers using Apps Script

Freelancers using Apps ScriptFreelancers using Apps Script

Projects People

proLahore, Pakistan

AI Integration & Automation Engineer | Full-Stack Web Apps

$50k+: Earned

66x: Hired

4.9: Rating

132: Followers

Expert

Expert

+2

AI Integration & Automation Engineer | Full-Stack Web Apps

Cover image for AI-Powered Sales Automation via Google Sheets Add-on

AI-Powered Sales Automation via Google Sheets Add-on

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18

Cover image for Magnai | UK Public Affairs

Magnai | UK Public Affairs

5

75

Cover image for Humoni - secure housing in under 72 hours

Humoni - secure housing in under 72 hours

6

128

Cover image for Wellbeing Wizard AI

Wellbeing Wizard AI

8

185

proSanta Cruz de Tenerife, Spain

AI Video Creator | Automations Engineer | AI SaaS Developer

$50k+: Earned

13x: Hired

5.0: Rating

383: Followers

Top

Partner

AI Video Creator | Automations Engineer | AI SaaS Developer

Cover image for Automated n8n Workflow for Data Management

Automated n8n Workflow for Data Management

6

352

Cover image for AI-Driven Social Media Content Pipeline

AI-Driven Social Media Content Pipeline

15

420

Cover image for SaaS Development Replit

SaaS Development Replit

12

646

Cover image for Lovable Web App Development

Lovable Web App Development

4

225

Anastasia Kavzovich

Kodable founder, Full Stack Developer passioned for AI

5.0: Rating

43: Followers

Kodable founder, Full Stack Developer passioned for AI

Cover image for Automation for Music Quiz Game Script Management

Automation for Music Quiz Game Script Management

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19

Cover image for 🎯 The Challenge
Selection Friction &

🎯 The Challenge Selection Friction & Decision Paralysis: Traditional wine e-commerce filters are overwhelming for non-expert buyers who struggle with complex sommelier terminology. Custom Conversational AI Engine: Training and integrating an LLM capable of accurately understanding domain-specific wine terms, tasting notes, and meal pairings in real-time. Ground-Up Architecture: Building a high-performance web platform and API infrastructure capable of linking conversational chat outputs directly to live inventory, cart systems, and checkout flows without latency. 🛠️ What We Developed 1. 🏗️ Custom Web Platform (Ground-Up Build) Designed and engineered a modern, high-performance web application tailored specifically for wine and gastronomy sales. Built a clean, mobile-first responsive interface with custom product cards, filtering systems, and order management workflows. 2. 🍷 AI Sommelier Engine Implemented a custom LLM-based recommendation pipeline trained on detailed wine metadata (tasting notes, grape varieties, body, acidity, aging, region, and food pairings). Enabled natural-language inputs (e.g., "I'm having grilled salmon tonight and need a crisp white wine under $30"). 3. 💬 Digital Wine Chat Assistant Integrated a real-time interactive chat module with streaming responses (via WebSockets). Embedded interactive product cards directly inside the chat interface, allowing users to add AI-recommended bottles to their cart with one click. 4. ⚡ Seamless E-Commerce & Inventory Integration Connected the AI assistant directly to real-time database stock levels, pricing tiers, and checkout pipelines. 💻 Tech Stack & Architecture LayerTechnologies & ToolsAI & NLP IntegrationOpenAI API, Custom LLM Prompt Engineering, Vector Embeddings, LangChainFrontendReact.js / Next.js, Tailwind CSS, WebSocketsBackend APINode.js, Express.js, REST APIDatabase & CachePostgreSQL (Wine Catalog & Metadata), Redis (Session Caching)Deployment & CloudDocker, Nginx, Linux / AWS 📊 Key Results & Business Impact 100% Custom Delivery: Successfully launched a complete end-to-end platform built from scratch. 40%+ Engagement Rate: Over 40% of unique site visitors actively consult the AI Sommelier during their browsing session. +28% Higher Average Order Value (AOV): AI-generated food pairing and multi-bottle suggestions significantly increased order size. Reduced Cart Abandonment: Instant conversational guidance eliminated choice paralysis, driving higher checkout conversions.

1

75

Cover image for Client Communication Automation for a Beauty Studio

Client Communication Automation for a Beauty Studio

0

16

Cover image for Automating Lead Scraping & Email Enrichment With n8n

Automating Lead Scraping & Email Enrichment With n8n

1

24

Genadiy Ryabyev

Batumi, Georgia

Full-Stack Developer | React, TypeScript, Node.js, APIs

6: Followers

Full-Stack Developer | React, TypeScript, Node.js, APIs

Cover image for Built a system that automatically

Built a system that automatically creates documents from Google Docs templates using data from Google Sheets or Google Forms. Templates include simple placeholders (like name, date, address), which are replaced with real data through a script. The solution generates ready-to-use documents in seconds, organizes them in folders, and can also export them as PDFs or send by email if needed. This helps eliminate manual work and ensures documents are always consistent and error-free.

2

108

Cover image for Developed a custom Google Apps

Developed a custom Google Apps Script automation system for a real estate investment company focused on fundraising and property development across Europe. The solution automated complex financial and operational calculations inside Google Sheets, helping the team evaluate investment opportunities, project returns, and construction-related metrics. The system supports scalable calculation models for different property types and investment scenarios, improving accuracy, reducing human error, and significantly speeding up decision-making for investment analysis and project planning.

2

119

Cover image for Developed a custom Google Workspace

Developed a custom Google Workspace Add-on to enhance productivity within Gmail, Google Docs, and Sheets. The add-on provided specialized functionality according to the client's workflow, such as automated data enrichment, template generation, and third-party integrations.

2

110

Cover image for Developed a custom Google AppSheet

Developed a custom Google AppSheet application inspired by Jobber to manage clients, jobs, scheduling, and invoices. The app integrates with Google Sheets for real-time data updates, automates task tracking, no-code business management solution.

2

117

Buenos Aires, Argentina

Business Systems Architect | Roadmap & GSheets & Automation

5.0: Rating

2: Followers

Business Systems Architect | Roadmap & GSheets & Automation

Cover image for Apps Script to create Google

Apps Script to create Google events and tasks when a cell is updated. The requirement was to automatically create Google Tasks and Calendar events when a task is entered in Google Sheets. • Implemented automatic updates to Google Tasks when the task name, status, or date is modified in the sheet. • When a task is completed in Google Tasks, its status updates automatically in the spreadsheet for all assigned users. • Meetings are scheduled via the sheet, generating Google Calendar events for all Gmail participants listed in the cell. • Added automatic updates to calendar events when changes are made in the sheet. • Entire solution built using Google Apps Script.

1

36

Cover image for My proprietary system for managing

My proprietary system for managing and achieving any goal you set

1

4

216

Cover image for The client’s goal was to

The client’s goal was to enter a new international market with a defined value proposition — but lacked clarity on the required steps. I conducted a focused strategy session with the business owner, structured the full market entry strategy into clear blocks, and mapped every step into my proprietary task management system. I defined timelines, estimated budgets, assigned responsibilities, and outlined the necessary org structure to execute the plan. The client received a complete roadmap, including a mind map in xmind and pdf formats, along with a fully structured Google Sheets action plan.

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34

Cover image for Profit and loss tracker for

Profit and loss tracker for daily financial indicators +KPI dashboards. I developed a spreadsheet with an advanced system for tracking daily P&L metrics. The sheet allows analysis across different time frames (week, month, 6 months, year) and includes dynamic projections based on the last 3, 5, or 7 days of performance. It features: – Automatically calculates planned targets and actual results using built-in formulas. – Assigns responsible owners and priorities to each metric. – Manager evaluation system that links daily performance ratings to employee compensation. – KPI dashboards for clear visualization.

1

41

Kresimir Peraic

Google Sheets & Data Automation Expert

Google Sheets & Data Automation Expert

Cover image for Google Sheets Real Estate CRM Automation

Google Sheets Real Estate CRM Automation

1

8

Cover image for Looker Studio Budgeting Dashboard

Looker Studio Budgeting Dashboard

1

24

Cover image for Car Sales PowerBI Dashboard

Car Sales PowerBI Dashboard

1

20

Cover image for MailerLite Automatic Campaign Report

MailerLite Automatic Campaign Report

1

7

Dhaka, Bangladesh

Google Analytics, Meta Pixel | Server-Side Tracking Expert

Google Analytics, Meta Pixel | Server-Side Tracking Expert

Cover image for You are not running ads.
You

You are not running ads. You are guessing. You see WhatsApp clicks and think ads are working. But do you actually know what happens next? How many people message you? How many are real leads? How many actually buy? And most importantly, which campaign brought them? Without this data: • You can’t scale winning campaigns • You can’t cut wasted ad spend • You can’t optimize for real revenue You are just optimizing for clicks. Not for customers. Real WhatsApp tracking shows you the full picture: Campaign → Click → Message → Conversation → Customer → Revenue If you can’t see this journey, you are making decisions in the dark.

1

320

Cover image for Your Meta Pixel is tracking

Your Meta Pixel is tracking purchases, but do you know which ones are from new customers? Most businesses can’t separate new vs returning buyers. And that means… poor targeting and wasted ad spend. I set up advanced tracking to identify: • New customer purchases • Accurate server-side events (CAPI) • Clean, deduplicated data So you can optimize for real growth, not just numbers. If your tracking isn’t precise, your scaling won’t be either. 🔥

2

1

188

Cover image for Your GA4 Ecommerce report is

Your GA4 Ecommerce report is full of data… but is it actually driving decisions? Most ecommerce stores collect data. Very few actually use it. I turn raw GA4 data into clear, actionable insights: • Top selling products • Customer journey behavior • Revenue by source and location So you can stop guessing and start scaling your store. If you can’t read your data, you can’t grow your business.

4

2

276

Cover image for If you are using Shopify

If you are using Shopify and relying only on native app tracking, you are probably missing a lot of accurate data. I recently worked on Shopify conversion tracking using Google Tag Manager instead of native integrations, and the difference is huge. With GTM setup: • Tracking becomes more accurate and controlled • You can properly send data to multiple platforms like Meta, Google Ads, GA4, TikTok • Server-side and data layer based tracking improves attribution • No duplicate or missing events like native apps often cause • You get full flexibility to customize events based on business goals Native Shopify apps are easy, but they are limited. GTM gives you full control over your tracking system. If you want clean data, better optimization, and real performance insights, GTM is the smarter way to go. Because at the end of the day better data = better decisions = better ROI

2

229

Senior Web Front End Engineer

Senior Web Front End Engineer

Cover image for There is much arguing everywhere

There is much arguing everywhere about jobs. JOEF (Job Opportunity Email Filter) is a Google Apps Script that I am developing in order to filter the deluge of job alert emails originating from various job boards (like LinkedIn or Indeed). Most of the job positions that these services claim to be a fit with your expertise and your preferences are, in fact, false positives. Such services ignore, possibly on purpose, many of your preferences (one among others, the work location type: "remote", "hybrid" or "on-site") and fail to match the job position accurately with your experience profile. JOEF fills that gap. Coded in pure JavaScript, linted with ESLint, formatted with Prettier, bundled with esbuild, and with only one runtime dependency: linkedom, a lightweight DOM API for email body parsing. Since I deployed it in November, it filtered thousands of job postings, and discarded more than 3/4 of them that didn't match my expertise or my preferences. - It can be fine-tuned through a number of user preferences, included various blacklists and whitelists for companies, professional titles, languages, skills, locations, etc... - It has a basic plugin system that permits to add parsers for any possible job board mailing list. - It uses Google Maps service to normalize locations. It can detect the job posting language and discard it if it doesn't match your known languages. Soon I will add a partner script to periodically scrape the job posting pages and collect further information in order to perform a second filtering step with the full job description and data (often, more strict residency requirements or language skills are not visible in the email excerpt). And I plan to add support for analyzing the job posting using AI, even local models, running on Ollama. JOEF has been coded by me, often with the assistance of AI models. If anyone is interested in my coding abilities, feel free to contact me.

4

2

78

Cover image for Little news about my JOEF.

Little news about my JOEF. Yesterday I was taking some time to code (with the help of AI) a Bot that: 1. Gets the job posting records which "status" cell is blank from my job offers spreadsheet. 2. Gets each job posting web page content and parse it to a structured data. 3. Queries a custom llama3.2 model locally via Ollama to evaluate if the job opportunity is a match or not. It is notable how LinkedIn sends me offers in Spanish, Polish, German, etc. All languages not even mentioned in my profile. To filter out these ridiculous situations is one of the reasons I begun JOEF project. The "NO", "YES" and "MAYBE" in the sheet are from this new Bot. Playwright might not be necessary. Gemini suggested to use it, convinced that it was the only way to circumvent LinkedIn anti-bot gates. As usual, Gemini (just as like Copilot and the others) made me waste a lot of time, because of this assumption. The cause was much simpler than that. Somehow, when JOEF main app stores a job posting link in the sheet, the cell actual value is different from the display value (i.e. formatted value). And, in the case of LinkedIn, the actual value is for authenticated agents. The public link, suitable for non-authenticated agents, is the formatted value. I guess that JOEF fills the cell with the actual value. The display value is then generated by Google Sheet automatically via link analysis. ... Which is an issue that will need further investigation.

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32

Cover image for Camera Hierarchy - Blender Add-on

Camera Hierarchy - Blender Add-on

0

5

Cover image for Second Life Skeleton Loader for Blender

Second Life Skeleton Loader for Blender

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18