Ship fast, stay close to customers: AI for founders who can't afford to slow down

​More tools should mean more speed. Instead, most startups end up with information silos – feedback in one place, bugs in another, product decisions in a third. Nothing connects.

​The real cost? Information leakage. A critical bug surfaces in a support chat but never reaches engineering. A pattern in complaints points to a product gap, but it's buried in a queue. The result: production delays and customers who feel unheard.

​Hirebound hit this wall early. Instead of adding more tools, they prioritized customer support as their intelligence layer using Computer, by DevRev. Now every conversation informs their product roadmap – support isn't a cost center, it's how they decide what to build next.

​Hear directly from Hirebound's founder – how his team turned support into a product feedback engine, automated deflection without dedicated staff, and built a system where nothing falls through the cracks.

​What you'll take away:

• ​Why traditional support stacks break at the early stage and what to use instead

• ​How Hirebound automated support using existing Notion docs, no content rewrite needed

• ​What staying close to your users looks like without a dedicated support team

• ​Real numbers: deflection rates, cost savings, and time won back

• ​A live demo of AI handling real support queries, triaging bugs, and syncing knowledge from Notion

• ​A candid founder conversation on what worked, what didn't, and what Vikramaditya would tell other founders

​Exclusive for Antler founders

​This session is co-hosted with Antler India. Attendees get exclusive access to DevRev's startup program – built specifically for early-stage teams who want enterprise-grade tooling without the enterprise price tag. More details shared live during the session.