Just wrapped up a custom property management platform for a client that handles everything from property scraping to agent-client collaboration. The system pulls apartment listings from multiple sources, displays them on an interactive map with custom radius filtering, and lets users filter by price, bedrooms, bathrooms, and square footage in real-time. The coolest part is the agent workflow - agents can create curated property lists for their clients, clients review and select their favorites, and agents instantly see what their clients liked without any back-and-forth emails or calls. Built features like magic link authentication for instant access, favorites management, admin dashboards showing all users and activity metrics, and dynamic filtering at both the portfolio and individual property level. When you need software that fits your exact business workflow instead of forcing you into generic SaaS limitations, custom development makes all the difference. Full platform walkthrough: https://www.loom.com/share/48da24b65b65403897bb51401e3ebb42 What custom software would transform your business operations if you could build it exactly how you wanted?

Just scraped over 7,000 influencer leads for an ecommerce agency looking to scale their creator partnerships. They needed comprehensive data across Instagram, Shopify, and various creator partnership platforms to build out their influencer outreach campaigns. The dataset includes creator contact information, follower counts, niche categories, and demographic information (location, age, etc). Instead of manually building lists or paying premium prices for outdated influencer databases, they now have fresh, targeted leads they can segment and reach out to based on their specific campaign needs. I'm working to deliver 7,000 leads per week, so they always have a steady stream of creators to contact. When you're running an ecom agency, having direct access to thousands of potential brand partners can completely change your growth trajectory. What's the biggest bottleneck in your lead generation process right now - volume, quality, or finding the right contact info?

Built a TikTok creator sourcing automation for an ecommerce client who needs a constant pipeline of UGC creators. The system scrapes specific hashtags relevant to their niche, extracts creator usernames from top-performing content, then automatically hunts down email addresses for each creator. What used to be hours of manually scrolling through TikTok, copying usernames, and tracking down contact info is now fully automated. The client gets a clean CSV with creator names, their content performance metrics, and verified email addresses - ready for outreach campaigns. Perfect for brands that need to scale their UGC content production without burning out their team on manual prospecting. Watch the full automation: https://www.loom.com/share/954b72b5248645c09444b5c5fcb55fea How are you currently finding and vetting UGC creators for your brand campaigns?

Just built a Harris County court records scraper that processes over 7,000 search terms automatically. The client runs a judgment recovery business and needed to search thousands of case names to find potential leads - doing this manually would've taken weeks or even months of non-stop searching. The Python script handles the entire workflow: takes the list of search terms, runs each one through the Harris County database, collects all matching case results, and outputs everything into a single organized CSV file. Now instead of spending countless hours on manual courthouse research, my client gets a complete database of prospects they can immediately start working with to recover judgments. Here's the automation in action: https://www.loom.com/share/f71c905c6f7e4ca38a622a7fcb16e21f What's a website you wish you could scrape and why?

Just scraped 6,500+ restaurant owner leads across Australia for a client who runs a B2B AI automation service. They're targeting local restaurant businesses with automation solutions, so having a large database of Australian restaurant owners with contact information was critical for their outreach strategy. The dataset includes business names, owner details, locations, phone numbers, emails, and other key data points that make cold outreach significantly more targeted. Instead of buying generic lead lists or manually building a database one business at a time, they now have thousands of qualified local prospects ready to contact. When your offer is location-specific and industry-focused, having this level of data precision makes all the difference in conversion rates. What types of leads would help your business the most right now and why?