What’s good, everyone? I’ve been off the grid for a minute.
I got completely fed up with manually filtering through hundreds of job leads, staring at screens, and writing the same proposals. It takes hours, and honestly, who has the time? I wanted to touch grass, so I built a fully autonomous engine to do the heavy lifting.
Here is what I just cooked up:
The Real-Time Lead Scoring Dashboard. I didn't just string a couple of basic prompts together; I built a legit two-tier AI architecture to avoid rate limits and keep costs at the absolute floor.
- The Vibe Check: Incoming data is processed by a lightning-fast Llama 3 model running on Groq hardware. Its only job is to grade the lead on a 1-10 scale in literal milliseconds.
- The Heavy Lifter: If the lead passes the vibe check, it gets routed to a massive 70B-parameter model that drafts a highly tailored, bespoke proposal.
- The Aesthetics: I piped all of this backend logic through Supabase Realtime WebSockets into a custom Next.js UI styled with Tailwind and Framer Motion. The dashboard updates instantly as the AI works—no page refreshes, just smooth animations.
Why this is a massive W if you run a business: I built this specific dashboard for my own pipeline, but the underlying engine is completely universal. If your company is manually qualifying inbound leads, sorting data, or dealing with clunky AI tools that crash when you try to scale, you are burning cash and time. This two-tier architecture drops API costs by 90% and runs entirely hands-free.
I just recorded a Loom video breaking down the exact Next.js and n8n architecture. Drop a comment below if you want the link (or if you want me to send over the local deployment files so you can test the code on your own machine!).
If you’re a founder looking to build this exact real-time infrastructure into your operations—my DMs are open. Let's chat.