SoundsIndian

Compare global products with local alternatives, claim community discounts, and back homegrown creators!

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Inspiration

Local for Vocal and seeing the struggles of new startup founders...

What it does

SoundsIndian is an AI-augmented B2B2C product discovery engine mapping consumer intent from global incumbents to local Indian D2C alternatives. Powered by Amazon Bedrock LLM reasoning for specification matching and trade-off scoring, the zero-inventory platform utilizes merchant-bound promo tokens and serverless UTM telemetry for deterministic, zero-cookie attribution. Complete with an Alexa+ MCP voice skill, it routes fulfillment directly to merchant storefronts.

How we built it

We built SoundsIndian using Next.js App Router for our responsive frontend and UI components. For intelligence, we integrated Amazon Bedrock (Claude) to parse global product specs and generate trade-off scores. We built an Alexa+ MCP HTTP endpoint for voice discovery. Finally, we deployed serverless UTM telemetry on Supabase to log outbound referral traffic, ensuring deterministic zero-cookie attribution across merchant storefronts. And a we built it with a lots of love

Challenges we ran into

Attribution Leakage LLM Spec Matching Hallucinations

Accomplishments that we're proud of

Pitched to College's Placement Head and earned sponsorship and startup credits

What we learned

Apart from technical learning: Brand promotion, Marketing, Content Creation, Video Editing, Cold calling, depression handling and what not In Technical aspect: All of it. Literally Everything!!

What's next for SoundsIndian

launching automated link-uptime monitoring, and onboarding our first cohort of 10 Pune D2C footwear and wellness brands

Sorry we do not have a youtube video currently and no time to make it.

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