Instinct founder says over half of platform transactions are travel-related

Highlights

Almost every AI assistant demo showcases travel booking as a primary use case, and Instinct is no exception. Founder Noah Shinn told a podcast audience that more than 50% of the platform’s transactions involve travel, and that the invite-only service is nearing $1 billion in annual transaction volume. He noted rapid daily growth and described opportunities to improve booking experiences, including restaurant reservations. Travel demand driving the majority of activity is a standout insight, suggesting priority product focus and potential market direction.

Sentiment Analysis

• Overall sentiment: Positive and optimistic. The company’s reported metrics — high travel share and approaching a billion dollars in transactions — convey strong market traction. The progress bar below reflects a favorable outlook on growth and product-market fit.
  
  
  

  
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Article Text

AI assistants frequently demonstrate their capabilities by helping users plan trips, and Instinct appears to follow that pattern. Founder Noah Shinn told an interviewer that travel-related bookings account for more than half of transactions on the invite-only platform. He also said Instinct is approaching nearly $1 billion in annual transaction volume, although he did not elaborate on the precise method used to calculate that figure. These comments point to travel as a dominant use case for conversational agents on the platform.

Shinn contrasted the agent-driven approach with conventional travel booking sites and agencies. Traditional interfaces aggregate hotels, airlines, and other services, presenting users with combined options and a straightforward checkout flow. Instinct’s agents aim to offer a different experience: a conversational, task-oriented flow in which users can describe constraints and priorities — for example, an urgent need to be in a specific city the same night — and have the agent handle coordination across suppliers. This shift toward conversational, urgency-aware booking could reshape how people handle last-minute and complex travel plans.

Beyond travel, Shinn discussed restaurant reservations as another area where agents can add value. He argued that many restaurants operate on a first-come, first-served reservation basis that fails to capture the context behind a booking, such as a milestone celebration. An automated agent can monitor reservation availability closely and alert users the moment a suitable slot becomes available. Shinn suggested that agents could eventually help restaurants prioritize guests who bring special occasions or interesting profiles, while de-emphasizing routine, lower-impact covers.

These ideas raise practical and ethical considerations. Observers have noted that users could misrepresent events — claiming anniversaries or special occasions to secure desirable reservations — and that some restaurants prefer local regulars who provide steady business. Balancing user convenience with fairness for venues will be an ongoing challenge as agents gain more influence in booking flows.

Shinn also touched on growth metrics, saying the platform was growing about 10% day-over-day, with transaction volume rising at a similar pace. If sustained, such growth rates would translate into rapid scaling and significant market momentum. Instinct’s recent fundraising helps underscore investor confidence: the company announced a $1 billion Series C round that values the business at $10 billion, with participation from major firms including Sequoia Capital, Benchmark, and Coatue.

Instinct operates with a relatively small team, reported at 14 members, and competes in a crowded space of personal agent products. Competitors include Meta’s Muse and other startups such as Wajo. The competition highlights a broader trend: companies are racing to build AI agents that can reliably handle real-world tasks like travel booking, dining reservations, and other time-sensitive services.

As conversational agents become more capable, their dominant use cases may shape product roadmaps. For Instinct, travel appears to be the primary driver of transactions, guiding resource allocation and feature development. At the same time, features aimed at restaurants and other booking contexts demonstrate the platform’s broader ambition to coordinate across services on behalf of users. How these agents balance convenience, transparency, and fairness for service providers will influence adoption and regulatory scrutiny as the space matures.

Looking ahead, the company’s valuation and funding signal strong expectations for continued growth and influence in personal agent technology. The prominence of travel use cases suggests that companies delivering smooth, reliable booking experiences will have an advantage, particularly for urgent or complex itineraries. As AI agents expand their reach into more aspects of daily life, both users and businesses will need to adapt to new interaction patterns and the trade-offs they introduce.

Key Insights Table