Consan Coaching โ Kajabi Website
The Brief
Consan needed a Kajabi site that felt warm, modern, and trustworthy. Their old layout lacked personality and didnโt show the depth of their coaching, podcast, and community work.
The Direction
I used soft pink tones, rounded elements, and confident photography to create a friendly, approachable feel. Each section guides visitors naturally intro story, services, podcast, community, success stories making the journey clear and encouraging.
The Build
Built in Kajabi with custom blocks for podcasts, testimonials, and opt-ins. Designed for clean mobile reading and quick edits.
The Impact
The new site feels human and inviting, helping visitors connect instantly and converting more traffic into leads and course members.
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I helped streamline the lead-to-quotation process for a signage company. When a new lead comes in, we automatically use SerpAPI and RapidAPI to gather a list of potential vendors. Quotations are then requested from these vendors, submitted via email, and automatically extracted using Python. All leads, vendor info, and quotations are organized in Airtable, and the system intelligently selects the best quotation based on predefined criteria โ all orchestrated seamlessly with Make.com (http://Make.com) automation.
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๐๐จ๐๐ข๐ ๐ก๐๐๐ฏ๐๐ฅ ๐๐๐๐ ๐
๐ฎ๐ง๐ง๐๐ฅ | ๐๐๐ & ๐๐จ๐ซ๐ค๐๐ฅ๐จ๐ฐ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐จ๐ง
A lead submits your form. What happens next?
This video demonstrates a GoHighLevel funnel that connects lead capture, CRM organisation, automated follow-ups, appointment booking, and pipeline tracking.
It walks through form-triggered workflows, lead tagging, team notifications, email and SMS follow-ups, and appointment remindersโshowing how each step supports a clear journey from enquiry to booked appointment.
My services include GHL funnel design, CRM setup, workflow automation, calendar integration, and follow-up sequences tailored to your business.
๐๐๐๐ ๐ ๐๐จ๐ง๐ง๐๐๐ญ๐๐ ๐ฅ๐๐๐-๐ฆ๐๐ง๐๐ ๐๐ฆ๐๐ง๐ญ ๐ฉ๐ซ๐จ๐๐๐ฌ๐ฌ? ๐๐๐ญโ๐ฌ ๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ ๐ฒ๐จ๐ฎ๐ซ ๐๐๐ ๐ฌ๐๐ญ๐ฎ๐ฉ.
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Henna by Sakina, Lahore ๐ฟ
A home-based bridal mehndi artist who lost hours every day to WhatsApp quotes, advance chasing and double bookings now turns any inquiry into a confirmed, deposit-backed booking in minutes.
My sister runs Henna by Sakina, named after her daughter. Every booking used to start on WhatsApp: "What's your rate? Is the 14th free? Will you come to DHA?" She answered every message and worked out every quote by hand, often late into the night.
What I built with Lovable:
โ AI chat that understands English and Roman Urdu and gives an exact quote from her real price list
โ One bride per day: taken dates are refused and the nearest free dates are suggested
โ Dates held for 24 hours, then released automatically
โ Advance payment details, screenshot upload and one-tap approval
โ Owner dashboard with a follow-up list, one-tap WhatsApp messages and a calendar
โ A gallery of her real mehndi work
Before: every inquiry meant long chats and hand-made quotes.
After: quotes are instant, holds expire on their own, advances are tracked and follow-ups take one tap.
Live app: https://hennabysakina.lovable.app
(https://hennabysakina.lovable.app)Lovable project: https://lovable.dev/projects/de2640d6-a85b-4dbd-bc4e-de72094acc01
#lovablechallenge @Lovable
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AI Sports Stats Automation | n8n Data Pipeline + Parent Dashboard
An automated data pipeline built in n8n that pulls sports statistics on a schedule, cleans and structures the data, and pushes it into a live dashboard for parents to track, with no manual data entry required.
The workflow handles scheduled triggers, API pagination, data transformation, and structured writes to the dashboard's data source, with retry logic so one failed request does not break the entire run.
Demonstrates the data engineering side of automation work: scheduled triggers, pagination, data cleaning, and dashboard-ready output, not only chatbots and lead generation.
Stack: n8n, REST APIs, Google Sheets and dashboard integration.
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AI-Powered PDF Data Extraction
Organizations often face challenges in extracting useful information from a large volume of unstructured data in PDF format.
The lack of standardized data formats makes it difficult to efficiently retrieve relevant information, when dealing with documents.
The goal of this solution was to develop a flexible automated solution that allows users to specify entities to extract, enabling quick and accurate data retrieval from diverse PDFs.
The demo is available on request.
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๐ Moonshift โ an AI night-shift front desk for small businesses.
Why: most leads arrive after hours, while the team sleeps. By morning they've gone cold. The idea came from a real comment on one of our posts: "The morning summary is what sells it." So we built the whole product around that moment.
What it automates: โข Answers every lead in seconds with real prices and open slots โข Books in-lane requests straight into the diary โข Holds anything outside the owner's rules (discounts, complaints) for a human, and auto-releases the slot if nobody acts in 6 hours โข Follows up when a customer goes quiet, and sends a reminder the day before โข Hands the owner a 7 AM Morning Brief: what got booked, revenue, and a "Needs you" list with one-tap Confirm / Release
Design: a live night sky that moves from navy to a gold sunrise as the night plays out, with a moon that becomes the sun. Mobile-first.
Try it with no login: hit "Simulate a night" to watch 8 hours in 60 seconds, then talk to the agent and ask for a discount.
Demo salon (Lumen Studio) and all data are fictional. Built with Base44. https://moonshift.base44.app
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