PKR 3,000 in Meta ad spend.
$1,300+ in closed client revenue.
81 conversations generated.
2 clients closed.
This campaign was a simple reminder that strong results do not always require a massive budget.
The real work was not just launching the ad.
It was understanding the offer, targeting the right audience, handling the incoming leads properly, filtering out low-quality prospects, following up, and converting the serious ones into paying clients.
For SS Services, marketing is not just about getting clicks or messages.
It is about building a complete system that turns attention into real business.
Small budget.
Real campaign.
Real clients.
Real revenue.
This is the kind of result we want to keep building and improving across different markets and services.
#Marketing #MetaAds #LeadGeneration #BusinessGrowth #SSServices
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The owner is cleaning a car. The next customer is booking theirs.
That’s the idea behind Sunday Shine: choose your vehicle, see the price, pick a time. Fewer messages between “Are you free?” and “You’re booked.”
A quick look at my @Lovable challenge build ↓
https://sundayshine.lovable.app/
#lovablechallenge
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Another client closed.
The ask: Client needed a private search engine for their team.
No tracking. No profiling. No data leaving their network.
The problem: Every search on Google is tracked, profiled, and sold.
For a privacy-focused company, that was a dealbreaker.
What we delivered:
Custom-branded search engine ("PrivateEye")
272+ search engine aggregation
Random anonymous profiles per search
Tor integration for maximum anonymity
Self-hosted — zero data leaves the network
Dark themed UI with custom branding
Full Docker deployment — one command to run
Timeline: Delivered in 1 day.
The client now has a search engine that looks and feels like their own product.
No Google. No Bing. No tracking. Just results.
Quick demo 👇
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AI-Powered Job Application Agent for MQL5 / MetaTrader Freelancers
I built an automated agent that monitors freelance job boards in real time, filters postings by budget and competition, and writes tailored, client-specific proposals — then submits them within a safe, human-like time window.
What it does:
Watches new job postings continuously (60-second polling)
Filters out low-budget or oversaturated jobs automatically
Uses AI to read each job description and match it against relevant skills
Calculates fair pricing and delivery timelines per job
Writes a short, specific proposal (not a copy-pasted template)
Applies with human-like delays to stay within platform limits
Built with: Python, Playwright, Gemini AI, SQLite
I use a version of this system for my own MQL5 / MetaTrader / algo-trading work — Expert Advisors, quant strategies, and automated trading tools. The same architecture can be adapted to any freelance niche where fast, relevant proposals matter more than mass-applying.
If you need:
A custom Expert Advisor or trading bot (MQL4/MQL5, MetaTrader 4/5)
Backtesting and strategy optimization
Automation tooling for your own workflow (job monitoring, proposal generation, lead qualification)
I build production-ready systems, not prototypes. Message me with your requirements and I'll scope it out.
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