Brew

Inspiration: Networking often feels like a performative, high-stakes audition rather than a genuine human connection. Students frequently face "networking paralysis" caused by anxiety and unclear social expectations, while traditional coffee chats can feel draining and transactional. We wanted to solve the "Cold Start" problem by transforming awkward cold outreach into warm, activity-based connections.

What it does: BREW is an AI-powered platform that bridges the gap between a student's current skills and their future career trajectory through shared experiences. Instead of just "grabbing coffee," users connect over shared hobbies like golf, arts and crafts, or mountain climbing. The platform features a "Warm Start Generator" that uses AI to draft personalized intros, eliminating the "Anxiety Barrier" and reducing the time-to-outreach from 45 minutes to under 60 seconds.

How we built it: We designed BREW with a focus on "Social Capital Automation". The core architecture includes:

• Personalized User Mapping: Profiles that integrate professional goals with personal interests and technical skills.
• AI Draft Engine: A tool that analyzes shared context—such as mutual clubs like AggieWorks—to generate authentic, low-friction conversation starters.
• Sentiment & Metric Tracking: We built internal KPIs to measure "Response Warmth" and "Conversion-to-Chat" to ensure the tool creates high-quality connections rather than spam.

Challenges we ran into: One of our primary hurdles was understanding the "Cold Start" of why users avoid reaching out even when the upside is high. We had to navigate the "Transactional Wall"—the feeling that every outreach is a high-stakes favor rather than a natural conversation. We also had to consider the logistical friction of "no-shows" and the varying preferences between introverts and extroverts when choosing between physical third spaces or virtual activities.

Accomplishments that we're proud of: We are incredibly proud of our "North Star" KPI: Time-to-Action. We successfully prototyped a system that can potentially reduce the time spent in networking paralysis by 90%. Additionally, we created a model that doesn't just "match" users but facilitates the entire interaction—from the first AI-generated "Warm Start" to the final activity-based meeting.

What we learned: User research taught us that a "Third Space" (like a shared activity) provides significantly more incremental value in encouraging students to connect than a traditional professional setting. We learned that specialized, high-quality guidance is often more effective than trying to solve every networking problem at once. Most importantly, we realized that authenticity is the key to overcoming the "Anxiety Barrier" in career development.

What's next for Brew: Our next steps involve:

• Hyper-Specialization: Focusing on specific user groups, such as 1st-generation students, to solve their unique networking challenges with high conviction.
• Expanding Activity Maps: Refining how we match users based on more nuanced hobby and interest data.
• Alumni Retention: Developing deeper incentives for alumni to stay engaged in the "third space" model after they graduate.

Built With

• figma
• lovable
• pitchdeck
• vercel