Freelancers using Google App ScriptFreelancers using Google App Script
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Abubakar Chan's avatar
Abubakar Chan
proLahore, Pakistan
AI Automation Engineer | Full-Stack Apps & Integrations
66x
Hired
4.9
Rating
154
Followers
ANYTHING_EXPERT

Expert

REPLIT_EXPERT

Expert

+2
AI Automation Engineer | Full-Stack Apps & Integrations
Cover image for AI-Powered Sales Automation via Google Sheets Add-on
AI-Powered Sales Automation via Google Sheets Add-on
3
24
Cover image for Gut Health SaaS Platform Development
Gut Health SaaS Platform Development
1
14
Cover image for Magnai | UK Public Affairs
Magnai | UK Public Affairs
6
87
Cover image for Humoni - secure housing in under 72 hours
Humoni - secure housing in under 72 hours
7
144
Google App Script(1)
J Hanafi's avatar
J Hanafi
Bekasi Regency, Indonesia
Website Designer | Google Workspace Automation | AI Solution
10
Followers
Website Designer | Google Workspace Automation | AI Solution
Cover image for This tiny Apps Script can
This tiny Apps Script can turn a Google Sheet into an automated notification system. One of the simplest automations I use: Google Form ↓ Google Sheet ↓ Apps Script ↓ Automatic email notification Instead of checking the spreadsheet manually every time a new lead comes in, the workflow can trigger an email automatically. The interesting part? You don't need to build a complicated SaaS to automate a repetitive task. Sometimes, a few lines of Apps Script are enough. I use this approach as a foundation for larger Google Workspace automation systems. What repetitive task would you automate first with Google Sheets?
0
102
Cover image for WellnessFlow — Email Automation &
WellnessFlow — Email Automation & Workflow Management System
0
54
Cover image for From Spreadsheet Chaos to Automated
From Spreadsheet Chaos to Automated CRM System. Most businesses don't need more tools. They need better workflows. Many small businesses still manage customer data manually: ❌ Leads scattered across multiple spreadsheets ❌ Follow-ups forgotten ❌ No clear sales pipeline ❌ Customer history difficult to track This is where automation can help. I built a lightweight CRM system using Google Workspace + Google Apps Script that helps businesses: ✅ Capture and organize leads automatically ✅ Track customer progress through sales stages ✅ Create follow-up reminders ✅ Generate reports and insights ✅ Keep everything connected inside their existing workspace The goal is simple: Transform repetitive manual processes into a smarter business system. No complicated software. No unnecessary subscriptions. Just a workflow designed around how your business actually works. Building practical automation systems for businesses using Google Workspace. What process in your business takes too much manual work?
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117
Cover image for 🚀 From Google Sheets to
🚀 From Google Sheets to a Professional CRM System Many businesses start by managing customers with Google Sheets. At first, it's simple. As the business grows, however, spreadsheets become harder to maintain. 🔴 Customer information is scattered. 🔴 Sales opportunities are difficult to track. 🔴 Follow-ups are often forgotten. 🔴 Team members work with outdated data. 🔴 Reporting takes hours instead of seconds. Google Sheets is an excellent foundation—but when combined with Google Apps Script and Google Workspace, it can evolve into a complete business application. Instead of replacing your existing workflow, automation enhances it. ✨ Customer records are organized in one place. 📊 Interactive dashboards provide real-time business insights. 🎯 Sales pipelines clearly show every opportunity from lead to closed deal. 📧 Automated email notifications reduce manual follow-ups. 📄 Documents and reports can be generated automatically. 🔗 Everything stays connected inside the Google Workspace ecosystem. The objective isn't simply to build another CRM. It's to create a workflow that helps businesses save time, reduce repetitive work, and make better decisions with accurate data. Every automated process means less time spent on administration—and more time focused on growing the business. How are you currently managing your customer pipeline—spreadsheets, CRM software, or a combination of both?
1
193
Google App Script(11)
Anastasia Kavzovich's avatar
Anastasia Kavzovich
Paris, France
Kodable founder, Full Stack Developer passioned for AI
5.0
Rating
46
Followers
Kodable founder, Full Stack Developer passioned for AI
Cover image for Automating Content & Campaign Management for a Marketing Team
Automating Content & Campaign Management for a Marketing Team
1
36
Cover image for Automation for Music Quiz Game Script Management
Automation for Music Quiz Game Script Management
2
21
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
116
Cover image for Client Communication Automation for a Beauty Studio
Client Communication Automation for a Beauty Studio
0
16
Google App Script(2)
Hasan Humam's avatar
Hasan Humam
Baghdad, Iraq
AI chatbots & game systems — C#, Steam, GPlay
5.0
Rating
12
Followers
AI chatbots & game systems — C#, Steam, GPlay
Cover image for Built an AI-powered customer support
Built an AI-powered customer support chatbot for Fontty Games from the ground up. Designed the system prompt architecture, intent scoping, and structured JSON output pipeline using the DeepSeek API. The assistant — Sir Alfonzo Quareno IV — handles game inquiries across three titles and escalates flagged cases (refunds, bug reports, collabs, and more) by collecting user data conversationally and logging it automatically to Google Sheets via a custom Apps Script webhook🔥. Key engineering decisions: Structured JSON output enforced via response_format to guarantee parseable replies Stateless service with conversation history managed per session on the frontend Escalation logic driven entirely by model output — no hardcoded UI triggers Prompt designed to resist persona attacks, scope creep, and language confusion Built on Blazor Server with MudBlazor for the frontend.
2
610
Cover image for Building the AI Layer for
Building the AI Layer for a Food Delivery Support Bot🚀 A regional food delivery platform needed a customer-facing AI agent that could handle live order queries in Arabic and English — without hallucinating status, misrouting frustrated customers, or breaking under injection attempts. My role was the AI behavior layer: system prompt architecture, decision logic, and the test suite that kept it honest. I designed an 11-gate decision tree where routing is determined by order status × elapsed time — not customer tone. A frustrated message doesn't trigger escalation. A VENDOR_ACCEPTED order delayed 20 minutes does. The test suite ran 41 versions across 10 categories: routing thresholds, language switching, ETA edge cases, multi-turn flows, and injection resistance. Result: live in production for over a month, 98% customer satisfaction rating from the support team.
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2
451
Cover image for LootLocker has SDKs for Unity,
LootLocker has SDKs for Unity, Unreal, Godot. If you're building in MonoGame or a plain C# project, you're on your own. I ran into this myself while working on Edin's Gate. Wiring raw HTTP calls to a backend you didn't build gets old fast. So I built a wrapper and figured someone else might need it too 😊. What I covered 🔥 Auth: guest sessions with automatic player identity persistence, Steam login. Player: profile info, display name, server-side key-value storage. Commerce: currencies, wallets, balances, catalog browsing, credit and debit. Leaderboards: submit scores, fetch rankings, member lookup, full metadata Progressions: XP systems, battle passes, skill trees. Triggers: achievement-style reward firing, single and batch. How it's built 🧠 Three .cs files. .NET 8, System.Text.Json, no Newtonsoft. Single static HttpClient. CancellationToken on every async method. Full XML docs & IntelliSense on everything. Comes with a README and a working MonoGame demo project 💯 V2 is already planned — Characters & Heroes, real money purchases, additional auth providers. Existing buyers get it at no extra cost 🔥. If you're building a game in C# and need a backend that just works, this might save you a few days.
1
531
Cover image for The most annoying parts of
The most annoying parts of shipping a game have nothing to do with the game itself — store assets, achievement icons, press kits, watermarks, favicons etc. It's all busywork that takes you away from actually building. I made Kur Forge Toolkit to handle all of it. 12 tools in one offline desktop app, built with .NET MAUI and SkiaSharp. No subscription, no internet required, no jumping between five different apps🚀 . Store assets, locked achievement variants, press kit PDF and zip, watermarks, favicons, sprite sheet slicing, image framing, resizing, cropping, compression, format conversion, color palette extraction — it's all there💯 . Available now for Windows🔥 .
1
1.1K
Google App Script(1)
Michael Plowden's avatar
Michael Plowden
Suwanee, USA
SQL Data Engineer | ETL, Power BI & Automation
New to Contra
SQL Data Engineer | ETL, Power BI & Automation
Cover image for I designed and supported automated
I designed and supported automated reporting workflows that moved data from source systems through validation and transformation into databases, spreadsheets, APIs, and reporting tools. The goal was to replace repetitive manual steps with dependable, maintainable automation. My work included API integrations, field mapping, data validation, error handling, and delivery or refresh steps using tools such as Zapier, Google Apps Script, SQL, and Python. The workflow and code shown are sanitized portfolio examples with no client data, credentials, or proprietary automation logic.
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16
Cover image for I built data-quality and reconciliation
I built data-quality and reconciliation checks to catch issues before they affected reporting, downstream processes, or business decisions. The work included validating required fields, standardizing formats, identifying invalid or duplicate values, reconciling source and reporting totals, and creating clear exception outputs for follow-up. The validation query shown is a sanitized portfolio example and does not contain client data or proprietary quality rules.
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13
Cover image for I built Power BI dashboards
I built Power BI dashboards for financial and operational reporting, with row-level security to ensure each user could see only the data permitted by their assigned role and region. The work included designing the data model, creating Power Query and DAX logic, configuring security access, and supporting dependable report refreshes. The dashboard and RLS rule shown are sanitized portfolio examples using sample data, with no client data or proprietary report elements included.
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23
Cover image for I consolidated 13 legacy SQL
I consolidated 13 legacy SQL queries and data pipelines into 2 streamlined workflows, reducing runtime by 60% while making the reporting process easier to maintain and support. The work involved reviewing existing logic, standardizing source data, simplifying transformations, and rebuilding the process around clearer, reusable SQL. The code shown is a sanitized example created for this portfolio and does not contain client data or proprietary code.
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24
Google App Script(1)