Live from Vivatech for the TechCrunch Hackathon | Summary and Q&A

May 26, 2018
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Live from Vivatech for the TechCrunch Hackathon


TechCrunch organized a hackathon where teams presented their cool projects, showcasing artificial intelligence, blockchain, augmented reality, and more.

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Key Insights

  • 😨 The TechCrunch hackathon showcased the creativity and innovation of teams in various industries, from car maintenance to social networking.
  • 🌍 The event highlighted the importance of AI, blockchain, augmented reality, and other emerging technologies in solving real-world problems.


hello alright we're going to get started in just a few minutes but first we need the first five teams who are going to present and open the show to set up on stage right now and the twelve teams after that to come back stage right now and to be ready and to stay around so that they can go after the first five teams thank you the under test test to ... Read More

Questions & Answers

Q: What are some of the projects showcased at the TechCrunch hackathon?

Some notable projects included an AI-powered car maintenance platform, an app that helps predict waiting times at emergency rooms, and an app that uses augmented reality to visualize furniture pieces in your home.

Q: Who were the judges for the hackathon?

The judges included representatives from TechCrunch, as well as sponsors and industry experts from companies such as IBM, Microsoft, and Ledger.

Q: How were the teams scored during the hackathon?

The teams were scored based on the awesomeness of their projects, with a scale of one to five. Any team scoring a three or above received TechCrunch Disrupt tickets and tickets to future events.

Q: What support did the teams receive for their projects?

The teams received support from sponsors and mentors, including TechCrunch, IBM, and Microsoft, who provided guidance and resources to assist with the development of their projects.


This video features the TechCrunch hackathon at VivaTech. Various teams present their ideas and projects, showcasing their innovative solutions to different problems. The projects range from car maintenance and autonomous vehicles to marketplace platforms and AI applications.

Questions & Answers

Q: What is the format of the TechCrunch hackathon?

The hackathon involves 64 teams, each presenting their project for one minute. They are then scored based on awesomeness, and any team with a score of 3 or above receives TechCrunch tickets and tickets to VivaTech for the following year.

Q: How does the system work to predict waiting times at emergency rooms?

The system, called Help Watson, uses pre-trained IBM Watson machine learning services and IBM Cloud. By analyzing travel times and incident details, it can predict waiting times for treatment using AI.

Q: What is the idea behind the Local Public Newsletter platform?

The platform aims to improve the relationship between buyers and sellers by providing a localized marketplace. It allows users to not only buy and sell items but also meet up and attend events together.

Q: How does Commerce DNA help improve the searching and selling experience on platforms like Lavon Qua?

Commerce DNA uses machine learning to automatically decipher and fill in missing product information. This makes items easily searchable and sellable, benefiting both buyers and sellers.

Q: How does Team 27, Alula, contribute to optimizing automotive service and maintenance?

Alula has developed a predictive maintenance platform that analyzes user behavior and provides recommendations for vehicle service and maintenance. It helps optimize service scheduling and improve overall efficiency.

Q: Can you explain how EasyFlix simplifies service center logistics for car maintenance?

EasyFlix utilizes self-aware cars to generate notifications for required services. When a notification is received, users can open an app that shows nearby service stations certified to perform the required service. This streamlines the logistics process and improves efficiency for service centers.

Q: What is the goal of the TrustCar team and their use of blockchain technology?

TrustCar aims to ensure the trustability of car maintenance history using blockchain. By certifying maintenance events on the blockchain, the system provides a verified and reliable history, enhancing trust in used car transactions.

Q: How does Team 63, Labounbroker, use blockchain to ensure the trustability of car history?

Labounbroker utilizes blockchain technology to certify the trustworthiness of car history. By verifying and securing all the car information on the blockchain, it ensures transparency and reliability for buyers.

Q: How does Honoka's car maintenance system predict the next maintenance schedule?

Honoka utilizes AI and machine learning to predict the next car maintenance schedule based on user behavior and vehicle data analysis. By calculating factors such as mileage and usage patterns, it provides accurate maintenance predictions.

Q: What is the focus of the Lost Items team's app and how does it work?

The Lost Items app uses image recognition technology and artificial intelligence to help users locate their lost belongings. By analyzing visual data and applying computer vision, the app detects and provides users with clues about the last known location of their misplaced items.

Q: What is the purpose of the Safe Life app and how does it help in emergency situations?

Safe Life is an application designed to provide stroke diagnosis in a few seconds. By utilizing AI and machine learning algorithms, the app enables users to quickly determine if someone is experiencing a stroke, allowing for immediate action and potentially saving lives.

Q: What is the aim of the LaVon Quang AR app and how does it work?

The LaVon Quang AR app allows users to virtually try out furniture items before purchasing them. By utilizing augmented reality technology, users can place virtual furniture in their physical space to see if it fits and suits their needs.

Q: How does Resco provide stroke diagnosis in a few seconds?

Resco uses AI and machine learning algorithms to analyze facial images and predict the likelihood of a stroke. By capturing an image of a person, the app provides a quick diagnosis and recommends appropriate actions such as seeing a doctor or going to the hospital.

Q: What is the goal of Logan Wang and their use of augmented reality technology?

Logan Wang aims to enhance the shopping experience by utilizing augmented reality. Users can select and view products from LaVon Quang and see how they would look and fit in their own spaces through the app.

Q: Can you explain how the Mr. Car app helps predict car maintenance needs?

Mr. Car utilizes artificial intelligence and machine learning algorithms to predict car maintenance needs. By analyzing user behavior and vehicle data, the app provides recommendations and predicts when the next maintenance is required.

Q: How does Pinky Car combine autonomous driving with being a travel guide?

Pinky Car is an autonomous taxi service that also acts as a travel guide. Users can book a Pinky Car and get driven to their desired destination while receiving interesting information and stories about the places they are visiting.

Q: What is the purpose of the ID app and how does it help in stroke detection?

The ID app is designed to assist in stroke detection through a quick and simple process. By taking a photo of a person, the app uses machine learning algorithms to identify possible stroke symptoms and provides recommendations for medical attention.

Q: Can you explain how Safe Connects uses connected and autonomous cars to ensure road safety?

Safe Connects aims to make roads safer by connecting autonomous cars with non-autonomous cars. When an emergency vehicle is approaching, autonomous cars can communicate with other vehicles, ensuring a safe and coordinated response.

Q: How does Ballad transform the travel experience with autonomous cars and virtual guides?

Ballad creates an interactive experience for passengers in autonomous cars. Users can engage with virtual guides to receive information about various destinations and attractions, making their travel experience more enjoyable and informative.

Q: What is the idea behind Phoebus and how does it support musicians?

Phoebus is a platform that brings together musicians and artists. It assists in career development, learning, and improvement by providing a space for musicians to connect and collaborate, enhancing their musical journeys.

Q: What is the purpose of the Be Swift app and how does it improve the buying and selling process?

Be Swift is a marketplace app that aims to enhance the buying and selling process. Users can buy and sell items, request deliveries, and interact with each other on the platform, streamlining the overall transaction experience.

Q: Can you explain how Display Projects uses augmented reality in the marketplace?

Display Projects utilizes augmented reality and blockchain technology to create a secure and immersive marketplace experience. Users can view products through their mobile devices and purchase them, ensuring secure transactions and building trust between buyers and sellers.

Q: How does Choice help people with sign language using AI and visual recognition?

Choice uses AI and visual recognition to aid people with sign language. It recognizes sign language gestures and translates them into text or speech, providing a voice for those who communicate using sign language.

Q: What is the purpose of Car Guard and how does it optimize car maintenance services?

Car Guard aims to optimize car maintenance services by leveraging machine learning algorithms. It predicts user behavior, allowing for proactive and efficient car maintenance scheduling. This streamlines the process and improves the overall car maintenance experience.

Q: What is the function of the LabonBlood platform and how does it improve the marketplace experience?

LabonBlood is a decentralized marketplace that utilizes blockchain technology. It enables secure and direct peer-to-peer transactions with the help of smart contracts, providing users with a transparent and efficient marketplace experience.

Q: How does the Han Seto app provide information about products in real time using visual recognition?

Han Seto uses visual recognition and AI to provide real-time information about product models, brands, and price ranges. By simply pointing the camera at a product, users can access relevant information and make informed purchasing decisions.

Q: What is the aim of the Screwed Labs project and how does it help in making informed purchases?

Screwed Labs aims to provide buyers with reliable product information. By scanning an item, the app uses AI to analyze and provide a brief description, suggested price range, and user reviews. This helps buyers make informed purchasing decisions.

Q: Can you explain how the BeSmart app simplifies the buying and selling process?

BeSmart is an app that simplifies the process of buying and selling items. Users can take a picture of the item they want to sell, and the app uses AI to recognize the item and suggest a price range. This streamlines the process for both sellers and buyers.

Q: What is the goal of the DBD platform and how does it optimize car maintenance services?

DBD is a platform that aims to optimize car maintenance services by providing a concierge service. Users can easily schedule car maintenance, and a service provider will pick up the car, take it to the workshop, and have it serviced. This eliminates the need for car owners to spend time at the workshop, making the process more convenient.


The TechCrunch hackathon at VivaTech showcased a range of innovative solutions, from car maintenance and autonomous vehicles to marketplace platforms and AI applications. Teams utilized technologies such as AI, machine learning, visual recognition, and blockchain to provide solutions to various problems. The event highlighted the potential of these technologies in improving different industries and addressing customer needs. The presentations were a testament to the creativity and technical expertise of the participants. Overall, the hackathon demonstrated the power of innovation and collaboration in driving positive change and pushing boundaries.

Summary & Key Takeaways

  • TechCrunch organized a hackathon with 64 teams presenting cool projects they developed over a 24-hour period.

  • Projects ranged from augmented reality apps for furniture shopping to AI-based car maintenance and assistance platforms.

  • Judges evaluated the teams based on their presentations and awarded prizes, including TechCrunch Disrupt tickets and opportunities for future collaboration.

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