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AI-assisted lead qualification, built as a working internal prototype.
Python coordinates real Ollama inference, a separate local CRM API and SQLite persistence. The reviewer corrects the draft, approves its current version and explicitly releases it to the local outbox.
Fictional enquiry. Genuine application capture. No external email delivery. The workflow is condensed for presentation.
Do It by Hotham | https://hothammusic.com
Royalty Free Music by https://www.free-stock-music.com
Creative Commons / Attribution 3.0 Unported License (CC BY 3.0)
https://creativecommons.org/licenses/by/3.0/deed.en_US
Music edited to a 23.37-second excerpt, with fades and loudness adjustment.
The network for creativity
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Market Day — the 15-second ad every seller deserves
Small sellers pour everything into what they make, and then get two seconds of someone's scroll to show it.
Market Day is for that moment. A seller ties off a parcel, the stall lights flicker on, and they hold out a wooden tray toward you. Your product lands on it, a little kraft label hops up to say what it is, and your headline settles onto a frosted-glass card.
I built it as one SVGator template and dropped in three businesses to prove it bends without breaking:
🍕 Forno Lucia, a wood-fired pizza café
🕯️ Ember & Oak, a candle maker
☕ Clay & Co, a ceramics studio
Same animation every time. To make it yours, swap 5 lines of text, 2 images and 1 colour. Every layer is named, the motion lives on wrapper groups, and no keyframe needs touching. About five minutes.
All artwork was made for this template, the brands are fictional and the fonts are open source, so it's free to give away.
If you sell by hand, this one's for you. Which stall should I set up next? 👇
Template: https://app.svgator.com/editor/#/0c516a7c8d234b37bb98c8df7f0b4a29
@SVGator
Your competitors can change their prices overnight. Your data collection system shouldn't miss it. 📊
Imagine checking 50 product pages every morning just to find out which prices have changed.
Now imagine getting that information automatically.
With Python web scraping and automation, businesses can build systems that:
→ Monitor product prices across multiple websites
→ Track stock availability
→ Compare competitor pricing
→ Record changes over time
→ Send alerts when something important changes
→ Export updated data to Excel or CSV
Instead of repeatedly checking websites, you get organized information that helps you make better business decisions.
This can be especially useful for e-commerce businesses, online retailers, and teams that regularly research competitors.
At ScrapePro Solutions, I build custom Python scraping and automation solutions tailored to specific business needs.
A quick question for e-commerce business owners:
If a competitor changed their product price today, how would you find out — manual checking or automatic alerts?
💬 Share your answer in the comments.
Two things bit me while building a price tracker. A page can come back "successful" but empty (in my case, compressed content the client couldn't decode), and saving that blindly overwrites good data. So I refuse any page with no title and no price, and only record a change when...
🗺️ Map design is where technical GIS data meets user adoption. For this ArcGIS API project, we engineered a dynamic spatial intelligence tool—featuring custom polygon territories, real-time geocoded competitor benchmarking with interactive popups, and clean SVG pin UI layers. Result? Clients turn complex competitor metrics into clear, actionable site selection insights instantly ⚡
