CommonAR
Last Updated on: Feb 18, 2026
CommonAR
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What is CommonAR?
CommonAR.com is an AR-powered (Augmented Reality) networking events application designed to help people network more efficiently at in-person events. It leverages augmented reality on your iPhone to show you profiles of people around you and provides AI-curated conversation starters, facilitating meaningful interactions. The app uses facial recognition to overlay profiles of fellow attendees and populates "match data" using AI from both users' profiles, helping steer conversations in a relevant direction.
Who can use CommonAR & how?
  • Event Attendees: Individuals attending conferences, meetups, or networking events who want to make more meaningful connections.
  • Networking Professionals: People who frequently attend networking events and seek to maximize their time and the quality of their interactions.
  • Conference/Event Organizers: Potentially integrate CommonAR to enhance attendee engagement and facilitate networking among participants.
  • Social Individuals: Anyone looking for a more efficient and insightful way to connect with others in a crowded social setting.
What's so unique or special about CommonAR?
  • AR-Powered Networking: Uniquely uses Augmented Reality on the iPhone to provide real-time, spatial information about people around you, enhancing the in-person networking experience.
  • AI-Curated Conversation Starters: Leverages AI to provide intelligent prompts and "match data" based on shared interests or compatibility, helping users quickly find common ground and avoid awkward small talk.
  • Facial Recognition Integration: Utilizes facial recognition (when scanning around) to identify and link to profiles of attendees, streamlining the discovery process.
  • Automatic Connection Tracking: Automatically tracks connections made and provides access to social media links, simplifying post-event follow-up.
  • Solves "Cold Start" Problem: Aims to address the difficulty of initiating meaningful conversations at networking events, providing a "better cold start."
Things We Like
  • Innovative Use of AR: Applying AR to real-time in-person networking is a novel and potentially highly effective concept.
  • Directly Solves a Problem: It targets a common challenge in networking – making relevant connections quickly and efficiently.
  • AI-Driven Relevance: The AI-curated conversation starters and compatibility data can significantly improve the quality of interactions.
  • Simplifies Follow-Up: Automatic connection tracking and access to social links streamline the post-event process.
Things We Don't Like
  • Privacy Concerns: The use of facial recognition and sharing of "match data" and profiles, even if user-controlled, could raise significant privacy concerns for some users.
  • Requires User Adoption: The effectiveness relies heavily on a critical mass of attendees at an event actively using the app and having populated their profiles.
  • Battery Drain: Augmented reality and continuous scanning/processing could potentially lead to high battery consumption on mobile devices.
  • Technical Reliability: The accuracy and seamlessness of AR and facial recognition in a dynamic, crowded environment would be crucial for user experience.
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Pricing
Free
This AI is free to use
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FAQs

CommonAR.com is an AR-powered networking application that helps users connect efficiently at in-person events by showing profiles of nearby attendees and providing AI-curated conversation starters.
It uses AR to overlay profiles of fellow attendees directly onto your iPhone's camera view as you scan the room or take a "selfie" with someone.
These are intelligent prompts or topics suggested by the AI, based on shared interests or compatibility data between your profile and another attendee's profile.
Yes, it uses facial recognition to identify attendees and link them to their profiles within your immediate space.
Based on the information, it is an iPhone app ("using your iPhone"), suggesting it may be iOS-exclusive.

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This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.

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