💡 Ideas AI

Startup ideas are 100% generated by AI, without human involvement, and trained by you and 1,947,245+ other people who liked or disliked ideas. How it works

Likely Startup Ideas

3 years ago

A startup that uses algorithms to determine if two people are likely to become a romantic couple.

911

4 years 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.

229

3 years 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.

222

4 years 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.

221

2 years ago

A social network for U.S. military veterans who are looking for jobs. The company’s model runs on the assumption that veterans are more likely to have a job, but that job might not be the one they want.

204

4 years ago

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

197

2 years ago

An AI that predicts if a person is likely to have a heart attack or stroke.

194

4 years 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.

186

5 years ago

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

185

3 years 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.

175

4 years 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.

170

5 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.

169

5 years ago

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

159

5 years ago

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

156

5 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.

155

5 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.

153

5 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.

152

5 years ago

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

151

5 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.

147

5 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.

141

5 years ago

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

141

5 years ago

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

136

5 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.

134

3 years ago

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

132

5 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.

128

2 years ago

A startup that uses proprietary algorithms to predict when customers are likely to run out of a particular product.

128

5 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.

125

5 years ago

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

124

5 years ago 1 views

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.

122

5 years 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.

118

5 years 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”.

113

5 years ago

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

113

2 years ago

A startup that predicts who is likely to get cancer so doctors can better treat them

110

5 years ago

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

102

3 years ago

A personal finance platform that provides a better user experience for millennials, who are more likely to use mobile devices to check bank balances.

101

5 years 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.

97

4 years 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.

91

5 years 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

90

2 years ago

A platform that improves the process of search by giving users more likely results, making it easier to find answers to their questions.

88

4 years 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.

86

4 years ago

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

83

5 years ago

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

81

4 years ago

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

81

5 years 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.

80

4 years 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.

80

4 years 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.

74

3 years ago

A data analysis service that helps employers determine which workers are likely to leave their jobs.

71

2 years ago

A startup that develops AI-driven tools to help real estate agents accurately estimate the value of a home and determine who it is most likely to appeal to. The company is also developing software to help real estate agents find and obtain financing for properties.

71

3 years ago

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

70

4 years 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.

69

4 years 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.

66

4 years 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.

66

4 years 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.

64

3 years ago

The startup’s starting point is that online dating is difficult for introverts. Introverts, however, are 25% more likely to find love online, and Intro.me wants to help them do just that.

64

2 years ago

Startup that helps students get higher grades by helping them organize and structure their work. By switching to a study schedule, students take on less work and are more likely to complete it.

59

3 years 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

58

3 years ago

A “on-demand” school that lets you pick up a tute and then drop it off when you’re done. The company recently closed a $1.5 million round of funding, and will likely be headed for an IPO soon.

56

3 years 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.

53

3 years ago

A “social shopping” app, built around the idea that “we are more likely to buy from brands that we already like.”

53

3 years ago

A social network designed for people on a budget, who know they’re unlikely to find another apartment at the last minute.

52

4 years 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.

51

2 years ago

A tool to target millions of customers with local deals. The company uses SMS and email to deliver deals to customers who they are most likely to convert to sales.

51

3 years 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.

50

3 years ago

A lending platform designed to help consumers with bad credit get loans by using data from credit references and credit reports to gauge whether applicants are likely to pay back their loans.

50

3 years ago

A hardware startup that takes a radically different approach to computer security. Rather than trying to block malware, the company says it can help protect against it by learning to predict what types of attacks are likely. It’s meant to work with mobile devices, and has a deal with Facebook to “secure” the social network’s billion users.

48

2 years ago

A personalized financial planner meant to help consumers understand their own spending, as well as the likely impact of their decisions on their financial health.

45

2 years ago

A software company that hopes to use machine learning to predict which customers will be most likely to buy a certain product in a store, based on their buying patterns and past purchases.

42

3 years 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.

40

3 years ago

A platform that helps online merchants from developing countries sell their products to the developed world, where their customers are more likely to pay for them.

40

3 years ago

A $1.3 billion dollar medical technology company. The startup is building a CRISPR-based tool that can identify molecules that are likely to be on the path to becoming cancer drugs.

40

2 years ago

The VCs have been criticized for not investing in women-led companies. Women-led companies are 44% more likely to receive VC funding than male-led companies.

40

3 years ago

This startup is building an AI-powered service that can help advertisers and agencies determine which consumers are most likely to buy a product and when.

38

2 years ago

A cloud-based “digital assistant” for brands and marketers to target customers more effectively. Users can make predictions about what they are interested in, and the software works to deliver ads that the users are likely to click on.

36

2 years ago

A cloud-based service that helps retailers determine how many of their customers are likely to buy something and how many sales are needed to make up for the losses from the ones who don’t.

30

2 years ago

If you’re a freelance journalist, you’re likely doing your job in a room with a bunch of computers. The startup is building a way to take all the great content that journalists produce and put it in one place, so freelancers can benefit from a bigger audience.

26

2 years ago

A startup that lets people upload their tax documents and get an estimate of how much money they are likely to owe, all without ever visiting a tax office.

23

2 years ago

A company that helps employers reduce their health insurance costs by taking advantage of shopper data and predicting which people are likely to use a premium drug.

21

2 years ago

A mobile phone app that seeks to make it easier to remember everything you need to do in a day. The app helps users to remember to do tasks that are more likely to be forgotten if not reminded.

17

2 years ago

A startup that wants to use technology to make downtowns safer and more vibrant. The company says it can use machine learning to identify high-risk groups and crowd-source intelligence to identify where urban violence is most likely to occur.

16

2 years ago

A company that uses machine learning to recommend videos to you that are “most likely to go viral”. It’s based on an algorithm that learns from the most popular videos on YouTube and Facebook.

14

2 years ago

In November 2018, "Return of Kings" founder Daryush Valizadeh, known as Roosh V, was banned from entry to the United Kingdom. Valizadeh published an article in "Return of Kings", titled "How to Stop Rape" which suggests that women are more likely to be raped if they stay in their home countries rather than moving to the United States or Europe. This article has been criticized by people as being misogynistic and conservative.

13

5 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

12

2 years ago

An AI-based product for real estate agents that aims to help them sell more property by predicting the most likely offers, and schedules, and mis-selling.

12

2 years ago

In May of this year, the company launched an app called “Spend on Hiring” that offers companies a way to pay employees in a variety of ways, including services, education, products, and other perks. The idea is that companies can use the app to encourage their employees to spend money on their own, specific, needs, and the company gets to know what things employees are interested in and thus more likely to buy.

11

💡 Ideas + 🪲 Bugs

38ms