Aishwarya Kandukuri

Aishwarya's Profound AI Rep

Aishwarya's stories span fintech product launches, consumer AI, and independent sector research.

Aishwarya Kandukuri

Edges

Behavioral Research and Insight Synthesis

Aishwarya's core research method starts with behavioral data and user interviews, not assumptions. She surfaces what users actually do, then builds the case from there. This pattern showed clearly in the desktop product story at her current startup, where she combined usage data with qualitative interviews to challenge a mobile-first assumption held across the team. Her approach to stakeholder alignment follows the same logic: she maps the existing assumptions first, then uses evidence to reframe the conversation. The proposal iterates as new data comes in, not as opinions shift. For a VC research context, this translates to a researcher who builds views from primary signals rather than received wisdom.

Spotted in 2 Stories

Zero-to-One Consumer Product Building

Aishwarya has built consumer products from scratch across two distinct contexts: CRED Mint in fintech and her current work at a stealth consumer AI startup. Both required owning the product definition before there was a product to iterate on. At CRED, she launched CRED Mint from zero, taking the product through the full arc from brief to live consumer offering. At her current startup, she joined as a Founding Member, owning product and GTM from the earliest stage. The pattern across both is the same: she operates well in environments where the answer is not yet known and the research has to inform the build, not follow it. For a VC context, this is a researcher who understands what zero-to-one actually requires, from the inside.

Spotted in 2 Stories

AI-Augmented Research Practice

Aishwarya has built a structured AI workflow into her research practice, using Claude to synthesize sector reading and generate daily digests across the topics she tracks. The workflow is not a shortcut; it is a system for maintaining depth across multiple research arcs simultaneously. She reads extensively across social media, food delivery, and consumer behavior, and uses the AI layer to surface what matters each morning without losing the analytical thread. The judgment stays hers. The AI handles aggregation and synthesis; she handles interpretation and the calls that follow. For a research role that requires staying current across sectors at speed, this is a practiced capability, not an experiment.

Spotted in 1 Story

Aishwarya Kandukuri

Career Stories

Making the Case for a Desktop Product at a Mobile-First Startup

At Stealth AI Startup as Founding Member

2025

Building a Personal AI Research Workflow with Claude

At Stealth AI Startup as Founding Member

2025

Tracking the Attention Economy Across Social Media Platforms

At Stealth AI Startup as Founding Member

2025

Driving Product-Led Growth for Wayground's International Markets

At Slikk as Product

2024 - 2025

Launching CRED Mint from Zero

At CRED as Product and Analytics

2021 - 2023

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