The world's No. 1 incubator recently held 50 AI startups

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Founded in 2005, Y Combinator is a leading U.S. startup incubator dedicated to supporting startups and providing them with startup guides.

Y Combinator has incubated more than 4,000 startups since 2005, with more than 90 of them reaching a valuation of $1 billion or more. This includes Reddit, a prominent social news and discussion site.

Fifty-one of Combinator's first investments in 2023 are in AI startups, 32 of which are generative AI companies. Such a layout of investments shows Y Combinator's confidence and expectation in this field.

Recently, 10 more very promising AI startups emerged from Y Combinator's latest batch of announced investments.

Today, let's take a look at how innovative these companies are in terms of their AI technologies and business models.


Magicflow, a startup incubated by Y Combinator, aims to make it possible for anyone to build AI applications in natural language, just like building websites with Webflow.

It was part of Y Combinator's Winter 2023 Demo Day batch, along with 59 other AI and machine learning startups showcasing their products and innovations.

Magicflow's biggest strength is that it doesn't just build websites with generative AI, it builds AI websites with generative AI. That is, it allows users to describe their desired website features and interfaces in natural language, and then generates the corresponding HTML and CSS code, as well as the AI services and content that go with it.

Currently, individual users can use Magicflow's basic features for free, but need to pay to unlock more templates, effects, domain names and other resources. Enterprise users need to pay according to the size and difficulty of the project.

Stack AI

Stack AI is a Y Combinator-incubated startup that aims to enable users to quickly design, test, and deploy Large Language Model (LLM)-based AI workflows using a graphical interface.

It lowers the barrier and cost for users to use LLM, allowing them to design and test the AI features they want using a graphical interface without having to buy and maintain their own hardware devices or write and debug their own code.

Stack AI's business model is a subscription-based SaaS service that provides a cloud-based platform for users to use and manage LLM, as well as build and deploy AI workflows.

Stack AI is unique in that it not only provides LLM, but also a complete solution that allows users to easily use and manage LLM, saving them from various hassles such as data collection, model training, and code writing.



Quazel is a company that learns languages through conversational AI tutors.

Its goal is to allow users to learn a foreign language through natural conversation, whenever and wherever they want.

Quazel uses some of the most advanced technologies to create the personality of each conversation partner, such as a ChatGPT-based language model that generates helpful, creative, and interesting responses based on user input to move the conversation forward.

It can also adjust the difficulty and content of the conversation based on the user's level and goals to improve learning.

Quazel's business model is a subscription service based on the number of conversations, where users start with 10 free conversations, which are automatically replenished to 3 per day if their balance falls below 3. If users want more conversations, they can buy more conversations in the app.



Linum is the equivalent of a video-oriented Midjourney company.

Its goal is to allow anyone to create animated videos with the help of AI, generating video footage and iterating and modifying it with just a few input prompts.

Linum provides a creative tool that allows users to use powerful generative AI models such as ChatGPT to create videos in a variety of styles and themes, such as horror, comedy, sci-fi, and more.

Linum's business model is a subscription service based on video length, allowing users to choose different packages based on their needs and budget, each with certain video length limits and feature restrictions.



Layup is a company that has developed AI for building workflows across company applications.

Layup's goal is to enable users to quickly complete workflows with one simple line of command, search for documents, generate insights, and leverage data from their company's systems and services.

Layup provides an intelligent chat interface that allows users to ask questions, get answers and relevant documents in natural language.

More comprehensive and integrated than comparable products, Layup integrates and manages over 170 commonly used products covering file storage, human resources, recruiting, accounting, customer relationship management, work orders, communications and more without requiring users to switch or synchronize themselves.

Users publish their developed applications to Layup's marketplace or other platforms to earn revenue through fees, advertising, partnerships, etc. Layup takes a cut of the developer users' revenue.



JustPai is an AI-powered financial controller platform that helps startups control spending, understand financials, and identify opportunities.

This platform provides a variety of intelligent financial tools such as payment management, contract tracking, industry benchmarking, income and expense analysis, opportunity alerts, etc. It automates financial processes to the maximum extent.

For example, one of them, AI Contract Reader, allows you to translate signed contracts into expected revenue and expenses and automatically import journal entries into your accounting software.

And one of them, ChatGPT Financial Query, allows you to query your financial information anytime, anywhere, in natural language, without waiting for your accountant to provide a report.

Currently, the platform offers a package for startups for a monthly fee of $199, and they are targeting startups that need a financial controller but don't want to spend too much money.



This is an AI development tool for searching and understanding large code bases. It allows developers to perform contextual searches by describing the function of the code, rather than simply string matching.

It currently supports Javascript and Typescript languages. Its target customers are companies that need to deal with millions of lines of code base.

Its product features include

Contextual search: allows you to search code based on its function rather than its name, better than simple string matching.

Code Interpretation: allows you to quickly understand how certain parts of your code base work, as if you had an expert sitting next to you.

Cross-file code generation: allows you to automatically generate complete file code based on a template of your choice, without the need to tap line by line.

The business model for this tool is based on a subscription fee. It provides developers with a VS code extension that can be installed and tried for free. It also offers some paid packages that can be customized according to the user's needs and the size of the code base.


persana AI

This is an intelligent sales assistant powered by fine-tuned models. It helps salespeople generate personalized emails with AI to improve response and conversion rates.

It can also provide a comprehensive picture of customers by integrating with CRM and other data sources. Its target customers are companies that need to improve sales efficiency and effectiveness.

With its intelligent analytics capabilities, users can continuously optimize their own sales strategies.

For example, one of the AI data analysis features allows you to use historical email data, CRM data, public data, etc. to analyze your customers' behavior and needs and provide personalized suggestions and strategies.

Also, it allows you to integrate with your common tools and platforms such as Gmail, Salesforce, Slack, etc. to easily manage and track your customer relationships.

Their business model is based on pay-as-you-go, which means that customers only pay for the services they use, and do not need to sign long-term contracts or subscriptions. This lowers the barrier to entry for customers and also gives them the flexibility to adjust their usage to their needs.



It is an AI native operating system for data analytics teams. It helps data analysts to create and manage data pipelines with the help of AI.

It can also provide contextual search, one-click exploratory data analysis, code generation, and more. Their target customers are companies that need to handle large amounts of data.

Essentially, it is a collaborative data pipeline creation and management platform.

It helps companies write and optimize code with coding suggestions and first drafts of documentation to build and test data models using tools such as dbt.

Their product is based on dbt, a popular open source tool that allows data analysts to build and test data models using SQL. They can leverage dbt's community and ecosystem to attract and retain customers, as well as be compatible and integrated with dbt.

Currently, enterprise users need to pay for the resources and features they use, with different pricing plans.

Individual developers can use the basic features for free, but need to pay to unlock more resources such as API calls and storage space.



The product is called Type, and it is an AI-assisted document editor. It can help you quickly write high-quality documents such as reports, articles, resumes, and more.

It can also provide grammar check, writing suggestions, document templates and other features. It is founded by Alex and Ben, both developers who are interested in AI and writing. Their target customers are those who need to improve the efficiency and quality of their writing.

What's surprising is that Type is currently free.

It allows users to increase creativity and flexibility as can generate various types and styles of text content, such as blog posts, landing pages, emails, product descriptions, etc., based on instructions. One can try different commands and options to get different results.


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