Intoit

About Intoit

Intoit is developing an AI-driven nightlife search platform that provides real-time data on venue conditions, including crowd size, wait times, and live music set lists. This technology enables users to make informed decisions about their night out, eliminating the uncertainty of venue experiences before arrival.

```xml <problem> Finding the right nightlife venue can be challenging due to a lack of real-time information about crowd levels, wait times, and the current atmosphere. Uncertainty about venue conditions often leads to wasted time and disappointing experiences. </problem> <solution> Intoit is a mobile platform that provides real-time data on nightlife venues, empowering users to make informed decisions about where to go. By aggregating and analyzing live information on crowd size, wait times, and the current vibe, Intoit eliminates the guesswork associated with planning a night out. The platform helps users discover venues that match their preferences, ensuring a more enjoyable and efficient nightlife experience. </solution> <features> - Real-time updates on venue crowd levels, wait times, and atmosphere - User-friendly mobile app for iOS devices - Aggregated data from various sources to provide a comprehensive view of venue conditions - Personalized recommendations based on user preferences and past behavior </features> <target_audience> Intoit primarily targets young adults and nightlife enthusiasts who frequently go out and seek up-to-date information to optimize their social experiences. </target_audience> ```

What does Intoit do?

Intoit is developing an AI-driven nightlife search platform that provides real-time data on venue conditions, including crowd size, wait times, and live music set lists. This technology enables users to make informed decisions about their night out, eliminating the uncertainty of venue experiences before arrival.

Where is Intoit located?

Intoit is based in East New York, United States.

When was Intoit founded?

Intoit was founded in 2022.

Who founded Intoit?

Intoit was founded by Ansh Jhaveri and Nick Bekos.

  • Ansh Jhaveri - Co-Founder
  • Nick Bekos - Co-Founder
Location
East New York, United States
Founded
2022
Employees
5 employees
Looking for specific startups?
Try our free semantic startup search

Intoit

Score: 24/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Intoit is developing an AI-driven nightlife search platform that provides real-time data on venue conditions, including crowd size, wait times, and live music set lists. This technology enables users to make informed decisions about their night out, eliminating the uncertainty of venue experiences before arrival.

intoitapp.com100+
Founded 2022 – East New York, United States

Funding

No funding information available. Click "Fetch funding" to run a targeted funding scan.

Team (5+)

Ansh Jhaveri

Co-Founder

Nick Bekos

Co-Founder

Company Description

Problem

Finding the right nightlife venue can be challenging due to a lack of real-time information about crowd levels, wait times, and the current atmosphere. Uncertainty about venue conditions often leads to wasted time and disappointing experiences.

Solution

Intoit is a mobile platform that provides real-time data on nightlife venues, empowering users to make informed decisions about where to go. By aggregating and analyzing live information on crowd size, wait times, and the current vibe, Intoit eliminates the guesswork associated with planning a night out. The platform helps users discover venues that match their preferences, ensuring a more enjoyable and efficient nightlife experience.

Features

Real-time updates on venue crowd levels, wait times, and atmosphere

User-friendly mobile app for iOS devices

Aggregated data from various sources to provide a comprehensive view of venue conditions

Personalized recommendations based on user preferences and past behavior

Target Audience

Intoit primarily targets young adults and nightlife enthusiasts who frequently go out and seek up-to-date information to optimize their social experiences.