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Likely Startup Ideas



2 years ago

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

141
2 years ago

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.

122
2 years ago

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.

114
1 year ago

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.

113
1 year ago

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.

113
2 years ago

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

112
2 years ago

A personal assistant that helps you organize your life by helping you keep an eye on the things you are most likely to forget.

111
2 years ago

A startup that is using data analytics to help small businesses make better decisions. The company says it can help a company make a better marketing decision by determining which of their customers are the most likely to buy, or which of their products are most likely to be sold, based on behavioral data.

108
2 years ago

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.

108
2 years ago

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

105
2 years ago

NOTE: These projects are not ranked in order of how likely they are to succeed.

102
2 years ago

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.

99
2 years ago

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

99
2 years ago

A machine learning tool that helps companies assess which employees are most likely to be able to transfer to a new job.

97
2 years ago

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.

96
2 years ago

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.

96
2 years ago

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.

88
1 year ago

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

87
1 year ago

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.

84
1 year ago

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.

81
1 year ago

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.

80
1 year ago

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”.

79
1 year ago

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

74
1 year ago

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.

67
4 months ago

The company that makes the Tiny Guide app is building an app that will help the blind navigate the streets of cities. The app uses a combination of technology and human volunteer navigators to point out street names, traffic lights and other landmarks. It also is likely to be the first app to integrate with the Apple Watch.

64
5 months ago

A startup that uses AI to predict which customers are most likely to churn and suggests discounts to bring them back.

60
1 year ago

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

56
1 year ago

A personal assistant that helps people figure out which of their friends is most likely to be on Twitter and Instagram.

55
1 year ago

 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.

52
9 months ago

A software company that starts by building a predictive model for which loans are more likely to default and then uses that model to predict which loans are particularly risky. The company then buys up those loans and uses them as collateral for insurance on other loans.

52
1 year ago

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

50
1 year ago

An AI-powered product that helps you determine whether you’re likely to succeed at something, like getting into a top university.

45
1 year ago

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.

45
1 year ago

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

43
3 months ago

A new product that helps TV programmers figure out which shows to buy and which to cut, with the startup’s AI software picking out the network’s greatest hits and those that are most likely to get canceled.

39
8 months ago

This startup wants to use big data to predict which customers are most likely to leave a store and where they’ll go next.

37
14 days ago

This startup uses machine learning to identify and rank the candidates most likely to succeed at a company.

37
11 months ago

A dating app for people with mental illness. The app asks you to rate your symptoms and asks you how you interact with people, giving you a score between 0 and 10 based on how likely you are to get into a fight or be abusive.

34
10 months ago

This startup wants to make it easy for anyone with a bad credit score to get a loan. The company’s co-founder says that when running a small business, it’s likely that they know the person they’re dealing with personally. The company uses that advantage to provide a personalized loan experience.

30
10 months ago

In 2014, Y Combinator’s summer program accepted 14 companies, with four eventually being launched as companies. In 2015, Y Combinator saw 20% more applicants than 2014, with the startups 35% more likely to succeed. In 2016, the number of companies accepted has been set at 14 by Y Combinator.

30
10 months ago

This is a software platform that allows call center workers to find out which of their client’s questions are likely to be answered by a computer and which ones need a human operator.

29
9 months ago

A good way to get more consumers to buy more from you is to make them feel more confident about buying from you. We’re all more likely to buy from companies we feel like we can trust, so this startup wants to help companies make their websites a better place for customers to interact with them.

26
7 months ago

A machine learning platform to predict which cases in the hospital will likely succeed and which ones will likely fail. The startup says they can reduce the average cost of a surgical procedure by a third with this system.

26
3 months ago

This startup is building an analytics dashboard that uses machine learning to tell which clients are most likely to churn.

25
1 month ago

Evalues how likely a user is to return to a place or site. The company wants to provide a platform for merchants to determine how likely they think a customer is to return to their location.

25
5 months ago

A data science platform that helps companies identify the best way to market to new customers by helping them analyze millions of data points and answer questions like: what are the products that are most likely to drive new customers and how can we best reach them with ads

23
7 months ago

A company that helps people collect and report information on the state of the planet and helps them predict where the next natural disaster is likely to strike. It’s a project for The Planetary Society, an international not-for-profit organization dedicated to space exploration.

21
5 months ago

The startup has a suite of products, including a digital assistant that helps manage marketing. It’s aimed at large companies that want to tell their stories in a way that’s more likely to get attention.

14
11 days ago

A new way to provide your friends with their favorite drinks, based on the idea that if you’re going out and it’s 3:30 in the morning, you’re more likely to want a beer and a shot than you are a glass of champagne.

5
2 years ago

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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