Talk to Prateek about
- Fraud detection SDKs
- Agentic AI bot detection
- Data observability platforms
How Prateek thinks
Behaviour‑driven fraud detection
Focuses on capturing device signals and browser‑based behavioural metrics to identify agentic AI bots rather than
For you: You can improve MFA security by analysing user behaviour patterns.
Self‑service market data
Advocates allowing retail traders to write their own self‑queries for market data, removing the need for costly
For you: You could experiment with custom queries to get tailored market insights.
Full‑stack startup experience
Combines technical architecture and business operations in co‑founding a startup, valuing rapid product iteration.
For you: You can leverage both engineering and business skills to launch new products.
Ask this first
- How do you differentiate legitimate AI agents from malicious bots?
- What challenges did you face building the self‑query feature for MarketLens?
- Can you share insights on balancing full‑stack development with startup leadership?
Prateek's brain
Recently updated
I posted on X (formerly Twitter) on 2026-09-22 announcing the NSE's new MarketLens platform. The tweet highlighted that retail traders and…
I am a Software Engineer at Ping Identity working on PingOne Protect's fraud detection SDKs.