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CLUSTER DIGITS-HANDWRITTEN-RECOGNIZES · 3 ENTRIES · EARLIEST ENTRY 2026-09-26

Handwritten digit recognition apps

The cluster consists of interactive web apps that recognize handwritten digits, typically drawn on a canvas, and display predictions. One app also computes math operations from the digits, and another shows confidence and class probabilities. The cluster's dated history is too thin to read a shape from—it predates the index or its members are undated. Among traction leaders, digit-recognition-model has the strongest activity signal with 2 stars, while others have none.

Entry timeline

ENTRY TIMELINE

AUG 2026: 2SEP 2026: 1
AUG 2026SEP 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 · 3 unlabelled

Operator · 1 hobby · 2 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 3 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01digit-recognition-model2★22 dayslivehobbyWeb app that recognizes handwritten digits drawn on a canvas and shows the predicted digit with confidence and class probabilities.
  2. 02Hand Written Digit Recognition using TensorFlow.js0★unknownliveInteractive web app that recognizes handwritten digits drawn by users and displays the predicted number.
  3. 03snapmath0★unknownliveWeb app that recognizes handwritten digits using machine learning and computes math operations from the digits.

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.