Who is the buyer for this idea?

Head of Risk at a $50M-500M loan-book NBFC / neobank. Reach them through warm intros via ex-lendingkart / kredivo operators and underwriting-alpha bake-offs vs incumbent scorecards. Skip broad SEO on day 1 — start where your first 20 customers already hang out.

How would you monetize it?

5-15 bps of loan volume + $10k platform fee, $500k-3M ARR per lender. Pricing is the most under-thought step for these buyers, so anchor to the outcome you replace, not the tool you resemble.

RBI + BI + CBN pushed digital-lending rules that force auditable models. That's the underlying shift — if it fades, so does the wedge.

What tech stack would you use?

Suggested stack: Python, XGBoost, Postgres, and Airflow. You can build the v1 in weeks on this stack; the moat is workflow depth, not framework choice.

Who are the incumbents I'd be competing with?

Study CredoLab, Trusting Social, and Lenddo — read their 1-star reviews, price ladder, and onboarding. That's where your positioning lives.

Who is the buyer for this idea?

Head of Risk at a $50M-500M loan-book NBFC / neobank. Reach them through warm intros via ex-lendingkart / kredivo operators and underwriting-alpha bake-offs vs incumbent scorecards. Skip broad SEO on day 1 — start where your first 20 customers already hang out.

How would you monetize it?

5-15 bps of loan volume + $10k platform fee, $500k-3M ARR per lender. Pricing is the most under-thought step for these buyers, so anchor to the outcome you replace, not the tool you resemble.

RBI + BI + CBN pushed digital-lending rules that force auditable models. That's the underlying shift — if it fades, so does the wedge.

What tech stack would you use?

Suggested stack: Python, XGBoost, Postgres, and Airflow. You can build the v1 in weeks on this stack; the moat is workflow depth, not framework choice.