Product & Growth | Market Research to 0-to-1 Growth to Shipped Products
Hyperagent Founding 500
Regnor is part of the founding cohort
AIC Techno Incubation Program
Regnor Knowledge selected for the current cohort
I built the knowledge product I could not find: it compiles a team's document archive into a maintained, cited, interlinked knowledge base the team owns outright. A 14-tool Python substrate validates every build, and an adversarial pass signs it off before anyone reads it. They search what you have; this compiles what you know.
I built Veriscore to answer a buying question fast: is this influencer's audience real. It scores authenticity across five dimensions across Instagram, X, YouTube and TikTok, and turns that into a white-label client report while the lead is still warm. When the margin structure stopped working, I repriced it per platform in a day.
I built Stratify to cut prospecting from days to minutes. It discovers, scores and exports ranked B2B prospect lists across five weighted dimensions. No LinkedIn account, no scraping, no account risk.
I built gap133 because the same event trades at two prices on Polymarket and Kalshi, and no scanner showed the gap cleanly. It watches both venues at once, surfaces the gap, and verifies every match against both rulebooks before it earns a place on the board. Receipts are public on the audit page.
I built JaanchLo because the scams hitting Indian phones read in Hindi and Hinglish, and the checkers are all English-first and cloud-dependent. JaanchLo is a free, open-source scam shield that runs on the phone and flags a suspicious message before someone acts on it.
Education
B.E. Civil Engineering · O.P. Jindal Institute of Technology, 2012–2016
I do not just advise on products, I build and run them. I prototype before I spec, evaluate every output against a written rubric, and ship on a number, not a hunch. These are the agents and systems I operate across my products and engagements, and how one person ships work that used to take a team.
A coordinated set of agents that take a narrow mandate each, run country and competitor studies in parallel, and return sourced, confidence-rated briefs. This is the system behind the three-country market-entry programme.
Every knowledge build passes a maintenance gate that runs index, lint and evaluation together, then an adversarial pass that tries to prove the content wrong before a reader sees it. It has caught fabricated facts that passed every earlier check.
Load-bearing facts in each domain are pinned to written assertions, 9 to 20 per domain, so a silent corruption flips a check red instead of reaching a reader. The same discipline drives my LLM evaluation and model-selection work.
Output quality across my products is measured by blind-judge evaluations against a written rubric, alongside latency and cost per unit, rather than by preference. Model selection is a score, not a hunch.