Krishnam's Profound AI Rep
Krishnam's stories span GPU pipeline automation, user retention research, and sector thesis building.
Krishnam Gupta
Open to meet
OPEN TO
Early-Stage Venture Investors
Evaluating seed and pre-seed deals in consumer or frontier tech.
OPEN TO
Founders at Pre-Seed or Seed Stage
Building their first product and figuring out early retention.
OPEN TO
AI and Frontier Tech Researchers
Mapping emerging AI categories for investment or product decisions.
OPEN TO
EV and Mobility Operators
Running product or strategy inside an EV or mobility company.
Krishnam Gupta
Edges
Primary Research and Synthesis
Krishnam's default when handed a vague problem is to go to the source before touching data or building anything. He runs user calls at volume, reads institutional research, and speaks to founders to build a ground-truth view of what is actually happening. This pattern has shown up across bequant.dev, Navi, and Eximius Ventures. At bequant, over 200 user calls surfaced a non-obvious insight about user comprehension that no dashboard would have caught. At Navi, the same approach turned a one-line retention brief into a structured experiment. At Eximius, it produced a published investment thesis. He synthesizes across sources rather than anchoring to one. Primary and secondary research inform each other in his process, and the output is always a structured perspective, not a data dump. The result is that his findings tend to be actionable: they point to a specific lever, not a general observation.
Spotted in 3 Stories
B
E
Structuring Ambiguous Problems
Krishnam's first move when handed a vague brief is to resist the pull toward solutions and instead make the problem concrete. He clarifies the outcome, maps the current state end-to-end, identifies the bottleneck, and prioritizes by impact and effort before touching a solution. This approach has shown up consistently across different contexts. At Navi, a one-line retention brief became a structured research program. At Ola Krutrim, a fragmented sales process became a scoped automation project with a clear success metric. At bequant.dev, a general drop-off problem became a specific hypothesis about user comprehension. He distinguishes between product thinking and project thinking: the goal is to understand the end outcome before mapping the how. This keeps him from solving the wrong problem at speed. The output of his structuring process is always a prioritized set of testable hypotheses, not a project plan.
Spotted in 3 Stories
NBForming Independent Market Views
Krishnam builds market convictions from the ground up, combining data, institutional research, and primary conversations rather than anchoring to received wisdom. At Eximius Ventures, he synthesized founder calls and VC primers into a published thesis on AI in wearables. At Ola Electric, he read India's two-wheeler sales data and formed a conviction that electric bikes would drive the next wave of EV penetration. What distinguishes his approach is the willingness to test the conviction against disconfirming evidence. At Navi, he held a strong hypothesis about fractional cashbacks as a retention driver, then updated his view when the data pointed elsewhere. He is flexible about the hypothesis but not about the evidence. This pattern is early in its development: he has formed views and acted on them, but the track record of those views being validated at scale is still building. For a research-oriented role, the discipline of forming, testing, and updating a market view is the relevant signal.
Spotted in 2 Stories
EEnd-to-End Workstream Ownership
Krishnam takes on workstreams from brief to delivery, including the problem framing, the build, and the measurement. He does not hand off at the point of insight or at the point of specification; he stays through to the outcome. At bequant.dev, he was the first product hire and owned the full arc from user research to feature design to launch. At Ola Krutrim, he owned the GPU pipeline automation from problem mapping through classifier design, questionnaire logic, and dashboard delivery. At Navi, he ran the research program and the experiment. This pattern is partly a function of the early-stage environments he has worked in, where there is no one else to hand off to. But it has also shaped how he approaches problems: he thinks about the full chain from finding to action, not just his piece of it. For a research role, this means his outputs are designed to be acted on, not just read.
Spotted in 2 Stories
BKrishnam Gupta
Career Stories
Ola Krutrim GPU Pipeline: Automating an End-to-End Sales Workflow
At Ola Electric as APM
2026
Navi: Structuring a Vague Retention Brief into 200-Plus User Calls
At Navi as Product Management Intern
2026 - 2026
bequant.dev: Diagnosing Retention Drop-Off and Shipping the Wiki Quant Homepage
At bequant.dev as Founding Member
2025 - 2026
Ola Electric Roadster: From Market Conviction to Production Execution
At Ola Electric as Founder's Office Intern
2025 - 2025
Eximius Ventures: Building a Sector Thesis on AI in Wearables
At Eximius Ventures as Intern
2025 - 2025