The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
AI Case Management System (Palantir Foundry + Salesforce)
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
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...
AI Agent Automation & Intelligent Workflow System
Building a smart AI agent powered by advanced AI models and workflow automation.
Integrating webhooks, AI memory, conditional routing, and automated responses.
Designed for customer support, product recommendations, and intelligent task handling.
Creating scalable, efficient, and business-focused AI automation solutions.
Designed & Developed by Shubham Tripathi.
I really found this so amazing personally
What if an AI assistant could tell you exactly which law supports its answer?
That's the idea behind Seera, an AI-powered legal research platform I'm building to make Ethiopian legal information easier to explore.
Instead of relying only on an LLM's general knowledge, I built a retrieval-based approach that searches indexed legal documents and grounds answers in relevant sources.
The stack includes:
Go for the backend and streaming responses
React + TypeScript for the frontend
PostgreSQL + pgvector for legal document retrieval
RAG to connect AI-generated answers with source material
One design principle matters to me: when the available sources don't support an answer, the system should make that clear rather than pretend to know.
Seera is still a work in progress, but building it has taught me a lot about combining backend engineering, AI, and a real-world problem.
Building useful things, one challenge at a time.
Feel free to check it here https://www.seera.site/
I'd test Seera with a question that retrieves a closely related law but asks for a conclusion the passage doesn't support. Does it still abstain when retrieval similarity is high?