Dev Jindal

LoanVati - Turn loan leads into approvals

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LoanVati helps DSAs close more loans by telling you which leads will actually get approved. Most DSAs waste time pitching to the wrong customers and lose deals to rejection. LoanVati uses AI to predict approval chances before you apply, so you focus only on high-conversion leads. * Check approval probability in seconds * Filter out low-quality leads * Increase conversions and commissions * Spend time where it matters Stop guessing. Start closing smarter

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Dev Jindal
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My friend told me this story. His dad needed a loan. Went to a DSA, sat across from him, answered every question. The DSA looked at his profile, did some mental math nobody else could see, and told him not to bother applying. Said it would get rejected. No breakdown, no numbers just a confident shrug dressed up as expertise. His dad trusted him. Decided not to apply. Months later, they tried a different route, went to the bank directly. The loan got approved. That DSA wasn't lying. He probably believed what he said. But he was working with no real system behind him - gut feel, rough estimates, years of pattern-matching he couldn't explain even if he tried. And because he couldn't show his reasoning, there was no way to question it, verify it, or catch where he went wrong. One bad call cost a family months of delay on a decision that was already theirs to make. That story is what became LoanVati. An AI credit pre-screening tool that takes the process from 40 minutes to under 2 and actually shows its work. Not black-box outputs. Plain English explanations for every decision, specific enough that a DSA can defend it to a lender, or a borrower can understand why. "Trust me" isn't a system. This is. Early access is open now. Happy to go deep on how we built it ask me anything.
Saul Fleischman

@dev_jindal1 This is a compelling origin story because it highlights a real problem that affects both sides of the equation. Borrowers get rejected or discouraged based on unexplainable hunches, and DSAs have no defensible framework. Showing your work in plain language is the right approach—it builds credibility and actually helps people make informed decisions instead of just accepting a verdict.

Dev Jindal

@osakasaul Appreciate that, Saul. That was exactly the gap I kept on seeing.
A lot of decisions in lending are still based on intuition that’s hard to audit, defend, or even improve over time.

We realized the problem wasn’t just “wrong approvals” or “wrong rejections” it was the lack of visibility into why a decision was made in the first place.

Our goal with LoanVati is to make underwriting reasoning inspectable instead of mystical. If a borrower gets rejected, the DSA should know what to fix. If a lender approves something risky, they should know what assumptions led them there.

Glad the core idea resonated with you.!