🧠 Inspiration
Like many of us, I’ve often found myself endlessly scrolling through product listings, juggling 10+ tabs, reading reviews, comparing specs and prices, just to find the right gadget within my budget. Whether it's for a new phone, laptop, or smartwatch, this process is time-consuming and frustrating. I kept thinking, “What if shopping felt like texting your shopaholic bestie who knows your taste and nails it every time?”
This idea led me to build QuickPick, and the KIRO.dev AI Editor by AWS helped me turn that raw frustration into a product spec, fast.
But building solo? That’s a one-man orchestra—drums, wires, specs, backend, frontend, sanity—all at once.
⚙️ What It Does
QuickPick turns plain language into smart product picks.
Just type:
“Laptop under ₹60K with long battery life”
“Phone with 5G and best camera under ₹15K”
And it returns curated products from Amazon.in based on price, features, and your intent.
No fluff. No filters. Just personalized picks that make sense.
👉 Try QuickPick built by Highguts Solutions LLP
🛠️ How We Built It (Me + KIRO)
The entire product was built over a weekend hackathon using KIRO.dev – an AI development environment built on AWS Bedrock.
Here’s how KIRO changed the game:
- 🧩 Spec Creation: I typed my raw idea. KIRO refined it into features, milestones, and wireframes.
- 🛠️ Code Assistance: From FastAPI endpoints to ER diagrams and unit tests, it paired with me like a co-pilot.
- 🚀 Task Execution: Milestone-based tasks with built-in testing meant fewer bugs, more focus.
Tech Stack:
- Backend: FastAPI + AWS Lambda
- Frontend: ReactJS + JS with fingerprinting
- Data: Amazon search API
- AI: Prompt-engineered product matching with Gemini
- Usage: Guest access with credit system via browser + IP tracking
🔍 Challenges I Ran Into
- 🧪 Parsing product results consistently from messy e-commerce data
- ⚖️ Balancing speed and depth of recommendations
- 👤 Designing usage tracking without requiring logins
- 💬 Making AI suggestions feel human, not robotic
Being solo meant I had to play all the roles: planner, designer, coder, tester, marketer.
But KIRO helped me think like a team.
🏆 Accomplishments I’m Proud Of
- ⏱️ From idea to working product in 80 hours
- 👥 50+ guest and 5+ real users on a launch day
- ⚡ Over 150 credit-based product queries processed
- 🛒 15+ actual purchase decisions influenced by AI
All from a solo dev with no team, no budget, no noise, just a keyboard, KIRO, and clarity.
🧠 What I Learned
- Ideas aren’t the hard part—execution is.
- AI tools like KIRO can be force multipliers for solo devs.
- Every small feature (like caching or good UX copy) matters.
- Building alone doesn’t mean building in the dark.
🔮 What’s Next for QuickPick
- 🛍️ Expand to categories like fashion and home appliances
- 🧠 Add price tracking, review summarization, and AI comparisons
- 🌐 Support Indian languages for tier-2 audiences
- 🤝 Partner with more e-commerce platforms
- 🧪 Launch on Product Hunt, Reddit, and Discord for feedback
💬 Final Words
Building QuickPick was like conducting a one-man symphony.
But with KIRO, I wasn’t just making noise, I was making music.
To every solo builder out there:
Your idea is valid. Your journey is messy.
But with the right tools, you can turn chaos into clarity.
👉 Try QuickPick built by Highguts Solutions LLP
💬 Let’s connect on Twitter / LinkedIn
Top comments (2)
Amazon, shopping is now eaiser with using QuickPick 😍
Something like this was pretty much needed