Suggestr
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 wo
Y Combinator
yc-company-directory #5134Suggestr 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 wo
sourceSuggestr is classified as Developer tools from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to Suggestr
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Aleph Solutions (Alephee)
match 86Aleph helps companies with thousands of products like General Motors and Bosch increase their revenue in Latin America by listing their inventory on large e-commerce sites like Mercado Libre and Amazon. Our customers sell over U$D 4M dollars’ worth of product every month using our software. Many brands struggle with the shift to sell on marketplaces. They want resellers to be involved in their online sales strategies, but both still need to maintain 10,000 products, prices and inventory up-to-da
shared product terms: like, large, commerce, amazon; shared product theme: sales and marketing; shared affiliation: Y Combinator
Preki
match 83Preki creates easy to use e-commerce solutions for local businesses in LatAm, you can think of us as Shopify for LatAm. Setting up an online business in LatAm is expensive, hard to learn and time consuming. With us, all businesses have to do is follow an onboarding process and add products - no code or design involved. This process takes less than 30 seconds and users can start selling immediately.
shared extracted concept terms: commerce; shared product terms: commerce, shopify, up, do; shared product theme: developer infrastructure; same category: Developer tools; shared affiliation: Y Combinator
Yuma AI
match 82## What is Yuma AI? Yuma is automating customer support by providing an AI Support Agent orchestration platform. Yuma provides autonomous AI agents dedicated to customer service and e-commerce. We integrate directly with help desk software (Zendesk, Kustomer, Gorgias, etc.) and focus on helping large Shopify brands deal with their high volume of support requests. Top merchants using Yuma can automate up to 80% of their support tickets fully autonomously. ## Why do Shopify merchants need Yuma? Th
shared extracted concept terms: commerce, brand; shared product terms: commerce, brand, shopify, up; shared product theme: sales and marketing; shared affiliation: Y Combinator
Breadcrumbs.io
match 72Breadcrumbs analyzes customer and prospect data to identify hidden revenue opportunities. It does this through a no-code scoring engine that can be set up in minutes rather than months. Because of Breadcrumbs sales teams can now focus on the right opportunity at the right time.
shared extracted concept terms: engine; shared product terms: customer, no, code, engine; shared product theme: developer infrastructure, sales and marketing; same category: Developer tools; shared affiliation: Y Combinator
Hello Chair
match 69Hello, Chair Inc. was founded in 2006 by Luke Iannini, Mike Jacobs and Kevin Corcoran to explore opportunities in applied machine learning and internet advertising. After receiving funding from Y-Combinator in 2007, we produced Adpinion, one of the first advertising networks to utilize user feedback to drive personalized targeting. Our core technology — the recommendation engine called SparseReduce — has since proved infinitely adaptable in such diverse problem domains as Amazon product recommen
shared extracted concept terms: recommendation, engine; shared product terms: drive, personaliz, recommendation, engine; shared affiliation: Y Combinator
Signals
match 66Signals is a new iMessage revenue channel for DTC ecommerce brands that gets customers to buy again. After a purchase, we open a real two-way conversation over iMessage, the channel customers actually read and reply to, and turn it into repeat revenue. In A/B tests, that drives ~$30 in average incremental repeat revenue per conversation.
shared extracted concept terms: dtc, brand; shared product terms: dtc, brand, customer, drive; shared product theme: sales and marketing; shared affiliation: Y Combinator