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Likely Startup Ideas

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A startup that provides a service for companies to help them figure out which employees are likely to leave the company

117

Using AI to help brands reach their customers with the most relevant ad campaigns. The startup offers a “personalized” message algorithm that’s meant to deliver ads that are more likely to be clicked.

89

A marketing tool that lets you track your social media interactions, and see which customers are most engaged, most likely to buy, or engaged at all. The company has raised $2 million in funding.

87

Retail startup that works with retailers to get merchandise into the hands of customers on an evening delivery service, making it more likely that customers will buy.

84

A ride-hailing company that lets people find a ride based on the route they’re most likely to take.

82

This startup is building a tool for banks to determine whether their customers are likely to pay back their loans.

78

A company that wants to help you manage your network of colleagues, friends, and customers. The startup wants to build a smarter network of people to keep up with connections and build a community with. It plans to focus on small companies because they tend to have more existing relationships to build on, and are more likely to use social networks.

77

A digital health platform for employees that allows them to book medical appointments, track usage, and get feedback from a doctor. The company wants to use machine learning to predict when employees are likely to need care, and to allow for more timely and personalized care, making it more efficient for employers.

72

A SaaS platform that helps B2B companies figure out when their employees are most productive and when they are most likely to leave. The startup says that their clients have saved a net of $20 million over the past two years.

71

A startup that allows users to automate their interactions with Uber. A spin on the existent “Uber for X” category, Upply pulls in Uber data and uses a predictive algorithm to help predict what a user is likely to say in an Uber interaction and then use that to automate the interaction.

70

A startup trying to make the creation of a new app as simple as asking a friend to help you. The idea is that creative people will be more likely to give their own time free to help others who may need it, and the startup hopes to eventually help with getting new users on their apps.

66

A way to automatically sell your old stuff on eBay, using big data to determine what you’re likely to buy again.

66

A tech company that creates a platform for companies to market their apps and services, in a way that is more likely to catch the attention of consumers.

66

The company uses machine learning for risk management, identifying which customers are likely to default on their debt and which loans are more likely to default on their debt.

59

A Tinder for the runway, using an algorithm to find the looks that are most likely to be the next big thing.

57

B2B companies are more likely to use YC-backed startups as employees, as compared to one where the founders are located in the Bay Area.

54

A data science tool that automatically turns data into “actionable, knowledge-rich insights” about any given user, looking for insights like “which users are most likely to convert to customers, or which users spend the most money”.

50

This company is building a platform to help merchants in the UK identify which of their customers are most likely to close a sale. It’s a tool for retailers to get better at selling to their customers.

46

A startup that wants to bust the myth that just because you’re over 40, you’re not likely to find a job.

42

 A company that collects data from credit cards to build a predictive model of which cardholders are likely to pay back their debts (and which ones are likely to default). It’s looking to offer a free model to banks for their riskiest customers.

32

The other factor is the service-based nature of B2B companies. B2B companies typically spend on services, such as accounting or legal services. The most common B2B service businesses include accounting, banking, and legal services. B2B marketing startups are therefore more likely to be targeting B2

29

A fitness-centric social network, with fitness-centric content, for people who are content-first, not fitness-first. The startup wants to use AI to recommend activity, food, and other content that people are likely to enjoy.

21

A data-driven platform that helps brands find new customers on Instagram. Each week, it finds tens of thousands of new customers that are likely to buy based on data such as recent activity and location.

20

A startup that wants to improve the way health insurance companies use data to find people who are likely to need health care.

14

A startup that uses artificial intelligence to help companies set up software development programs that will be more likely to succeed.

10

Idea: A startup that wants to use machine learning to solve the problem of sifting through job applications to find the candidates who are likely to be a good fit for your company

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