Suggestr YC Application

Winter 2022Inactive

Suggestr went through Y Combinator in the Winter 2022 batch as a B2B company. Below: what the company does, who founded it, and its application to YC, reconstructed question by question in the real YC form.

YC batch: Winter 2022
Industry: B2B
Team size: 2
Status: Inactive
Launched: 2021

Founders

Aditya MehtaFounder
Oleksii SidorovFounder

What Suggestr does

Suggestr is a self-serve, no-code personalization solution for the 20M+ e-commerce brands that sell on platforms like Shopify. Marketplaces like Amazon drive up to 30% of their sales from personalized surfaces (recommendations, bundles, frequently bought together, et cetera). They have large data science teams that build such in-house recommendation engines. However, DTC brands can't afford to do this, and they don't have enough customer data to make the conventional recommendation approaches work. Suggestr uses innovative multi-modal AI technology that sees and understands products (needs 100x less data), allowing it to work with brands of all sizes (SME, mid-market, enterprise). The solution takes less than 30 minutes to integrate and helps merchants increase online store revenues by up to 10% with AI-driven upsells and cross-sells.

Suggestr's YC application, reconstructed

Y Combinator application

Suggestr, Winter 2022 batch. The real form questions, answered from public data.

Founders2
Company7
Progress7
Idea4
Equity3
Curious2
Batch Preference1

Company

Company name

Suggestr

Describe what your company does in 50 characters or less.

Amazon-level personalization for Shopify merchants

What is your company going to make? Please describe your product and what it does or will do.

We built a no-code personalization tool for Shopify merchants that uses AI to recommend products, create bundles, and upsell. Unlike typical recommenders, our AI understands product visuals and metadata with far less data, making it accessible to small and mid-sized brands that don't have massive customer histories or in-house data science teams.

Where do you live now, and where would the company be based after YC?

We live and are based in Singapore and plan to keep the company there after YC.

Explain your decision regarding location.

Singapore is where we currently live and work. It's a hub for e-commerce businesses and provides access to the growing Asia-Pacific Shopify merchant base, which fits our initial target market.

21 more answers in the full application

Founders, Progress, Idea, Equity, Curious, Batch Preference are in the full version. Create a free account to open it in YC Insights, next to every other YC batch.

See full application

Frequently Asked Questions

Is this the real Suggestr YC application?

No. Y Combinator keeps submitted applications private. This is a reconstruction: the real YC form questions, answered from Suggestr's public data (launch notes, founder backgrounds, product description). It shows how a company like Suggestr would present itself to YC, not the text they submitted.