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CLUSTER ANALYZES-CALCULATES-CHECKS-3 · 4 ENTRIES · EARLIEST ENTRY 2026-09-24

Personal finance loan dashboards

The cluster consists of personal finance web dashboards that combine loan eligibility checks, credit score analysis, EMI calculations, and AI-generated financial tips. The dated history is too thin to read a shape from, as fewer than five dated entries exist before the index start, indicating the cluster predates the index or its members are undated. Traction leaders, all with zero stars, include Supriya-Pakhare-BFSI, Supriya-BFSI, and Supriya.BFSI-Project.

Entry timeline

ENTRY TIMELINE

SEP 2026: 4
SEP 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 4 unlabelled

Operator · 4 hobby

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 4 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01Supriya-Pakhare-BFSI0★24 days—hobbyWeb dashboard that checks loan eligibility, analyzes credit scores, calculates EMIs, and provides AI-generated financial tips for personal finance users.
  2. 02Supriya-BFSI0★24 days—hobbyWeb dashboard that checks loan eligibility, analyzes credit scores, calculates EMIs, and provides AI-generated financial tips for personal finance users.
  3. 03Supriya.BFSI-Project0★26 days—hobbyWeb dashboard that checks loan eligibility, analyzes credit scores, calculates EMIs, and provides AI-generated financial tips for personal finance users.
  4. 04loan-approval-dashboard0★1 mo—hobbyWeb-based dashboard that predicts loan eligibility from applicant data and visualizes the outcome with charts.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.