When Google deprecated the Cookbook feature on Nest Hub, I was frustrated — I'd invested in several for my kitchen based on the promise of voice-guided recipes. So, I built RecipeCast — a browser-based app that lets you cast any recipe to your Nest Hub, Chromecast, or smart TV.
✅ Cast any recipe from your phone or laptop
✅ Simple interface designed for cooks
✅ Free for 3 RecipeCasts, then $5/month unlimited
Planned features:
🗣️ Voice navigation while cooking
🖱️ Chrome extension for 1-click RecipeCasts
➕ Add your own recipes
🔗 Try it free, no cc needed: https://recipecast.app
(https://recipecast.app)🎥 Demo: Watch on YouTube (https://www.youtube.com/watch?v=jL_aHcyLy7Q)
🛠 Tools Used:
- Figma (for wireframes & design planning)
- Google Cast SDK
- OpenSaaS
- Wasp
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Built an automotive demo for YUKTAAI — an AI Vehicle Advisor for used-car marketplaces.
The demo shows how a shopper can go from:
“I’m looking for a used car”
to a confident vehicle decision through smart qualification, relevant car recommendations, vehicle-history signals, comparison support, and dealer lead capture.
Instead of just showing hundreds of listings, YUKTAAI helps shoppers understand which vehicle fits their needs, which one they can trust, and what the next best step should be.
From browsing to buying confidence.
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My own script kit for Shopify catalog work, shown on made-up files for a fictional lighting brand. New products go into an import file built on the store's export columns, each as a draft, and a missing spec is left empty and listed. Edits to existing listings come first as a side-by-side preview to approve. Afterwards it compares the fields in the before and after exports you supply and lists differences outside the agreed batch (here, one planted price change); it can't verify that an export is complete. Tested on made-up files only, not on a client's store, and it never writes to a store itself.
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I developed an Instagram Direct tracking integration using Cloudflare Workers, D1, and Meta Business Messaging Conversions API.
The system authenticates incoming Instagram webhooks, records first observed contacts, prevents duplicate counting, and manages event delivery to Meta with retry and recovery mechanisms.
The beta implementation was validated using real Instagram Direct messages, production database records, and controlled failure-recovery tests.
The solution focuses on reliable contact-event tracking. Campaign-level attribution, CRM bookings, and revenue tracking are outside the current scope.
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