.png&w=256&q=75)
Utpal Gaurav@utpal-gaurav
1
Events attended
1
Submissions made
India
6+ years of experience
About me
I'm a Software Developer with over 5 years of experience building enterprise-scale applications and cloud-native solutions. I specialize in Java, Spring Boot, microservices architecture, and Flutter, with hands-on expertise in designing scalable backend systems, API development, database optimization, and test automation. Beyond my corporate experience, I'm passionate about product building and entrepreneurship. I've independently developed and launched applications such as BudgetLab and Venturoir, exploring areas ranging from personal finance management to meaningful travel storytelling. My interests extend into AI-powered products, multi-agent systems, developer tooling, and consumer-facing platforms. Combining strong engineering fundamentals with a product-oriented mindset, I enjoy transforming ideas into real-world solutions that solve meaningful problems and create lasting user value.
š„ Own Projects
š¤ Latest Submissions
Forge
Most founders rehearse their pitch in front of friends who nod along. FORGE does the opposite. Before any high-stakes investor meeting, founders submit their pitch context - funding ask, equity, valuation, traction, business model - and are put through a live adversarial session with four distinct AI agents: an Investor who attacks your valuation math and runway, a Competitor who probes your moat and differentiation, a Red Team that hunts for logical contradictions and execution blind spots, and a Customer who challenges whether anyone actually wants what you're building. Agents don't take turns nicely. They each maintain a live priority queue of questions, evaluate every founder response in parallel, and inject follow-ups dynamically - mimicking the pressure and unpredictability of a real investor room. Founders respond by voice or text, with no ability to edit once submitted. After the session, FORGE generates a ranked debrief report identifying the five most dangerous weaknesses by deal-kill probability, including questions the agents queued but never got to ask - the gaps the founder never had to defend. The system evolves across rounds: founders log real meeting outcomes, and agents adapt their attack patterns based on what actually happened in the room.
19 Jun 2026
