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Title: Server/VPS Monitoring + Automated Alerts — built the same
system for my own infrastructure, $30-50
Hey — I build lightweight monitoring and automation systems for servers,
VPS, and self-hosted setups.
What I actually built (not a mockup): an autonomous monitoring system
running on a Raspberry Pi — a C engine reads live system stats via native
Linux system calls, a Bash layer automates and schedules it, and alerts
fire in real-time to Discord through a webhook API. Every snapshot logs to
SQLite. It's the same pattern big companies pay for with tools like
Datadog or Grafana — just built lean and cheap.
I can build the same thing for your setup:
→ Server/VPS uptime + resource monitoring with Discord/Slack alerts
→ VPS security hardening (SSH keys, firewall, fail2ban)
→ Webhook/API integrations between your tools
→ Custom automation scripts (cron jobs, data pipelines)
Fast turnaround (usually 24-48h), using modern AI-assisted dev tools to
build efficiently without cutting corners on quality.
Proof:github.com/techcrafter03
$30-50 depending on scope. DM me what you need.
github.com
techcrafter03 - Overview
Self-taught developer · Raspberry Pi · Linux · C · Bash · Applying for Ausbildung Fachinformatiker Systemintegration in Germany - techcrafter03
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Title:
Professional Data Entry Project (Microsoft Excel)
Description:
Built a professional Excel-based Data Entry Project for accurate data collection, organization, and management. The project includes structured spreadsheets, automated calculations, data validation, sorting, filtering, and clean formatting to improve efficiency and reduce errors. Designed for businesses to maintain organized records and streamline daily data management tasks.
Skills Used:
Microsoft Excel
Data Entry
Data Cleaning
Data Validation
Data Formatting
Sorting & Filtering
Formulas (SUM, IF, COUNTIF, VLOOKUP/XLOOKUP)
Spreadsheet Management
Data Organization
Could you share a bit about the tech stack you used in your web projects?
You're doing the same thing manually. Every. Single. Day.
Copy-pasting data. Checking prices. Monitoring websites.
Sending the same reports. Watching for alerts that never come
at the right time.
That's not work. That's just noise.
I write Python scripts that eliminate the noise.
→ Web scrapers that pull exactly the data you need
→ Telegram bots that alert you the moment something changes
→ Automation pipelines that run while you sleep
→ APIs that connect your tools so they talk to each other
No bloated software. No subscriptions. Just clean Python code
that does one thing — solves your specific problem.
I've built a 11-module Web3 analytics bot running 24/7 on a
Linux server, a price comparison scraper across two e-commerce
platforms, and a URL shortener API with real-time GeoIP tracking.
If you have a repetitive problem, I probably have a Python
solution for it.
Message me. Let's kill the manual work.
The price comparison scraper across two platforms is the one I'd want details on — normalizing product matching across sites without a shared SKU is usually the hard part, not the scraping itself. How are you matching listings between the two?
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