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GitHub seismograph — discoveries and growing interest

MAZHARMIK/Interview_DS_Algo

Learning & listsC++#interview-ds-algo#coding-interviews#algorithms#algorithms-and-data-structures#companies-list
Total stars
5,130
Today · UTC
+1since 11:04 UTC
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Super Repository for Coding Interview Preperation

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About the project

A repository of data structures and algorithms solutions for coding interview preparation, organized by topics and subtopics. Each solution includes the problem link, company tags, frequency, and a video explanation.

Useful for
  • Prepare for interviews by solving problems grouped by topic (trees, DP, graphs).
  • Find problems frequently asked by a specific company using company tags.
  • Study different solution techniques for a problem via subtopics within a topic.

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

1.2 Steady Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of October 7, 2026, 12:58 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

0612July 10, 2026October 7, 2026

Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.

Why it’s trending

  • Star-counter measurements on 2026-10-07 (UTC), 11:04–12:52: 5129 → 5130 stars (+1). This is the change over that interval.
  • Estimated end-of-day forecast: about +3 stars, using observed gains and the previous day.
  • GitHub Trending C++ today: #9, +7 stars.

Three GitHub discoveries in each edition

What they do, why they are gaining interest, and what to check before using them.

Editions at 10:00, 16:00, 22:00 MSK.

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Numbers

Total stars
5,130
Today
+1 star measured 2026-10-07, 11:04–12:52 UTC, ≈ 3 by evening
Forks
2,134
Issues and pull requests
106
Watchers
55
Language
C++
Created
July 12, 2020
Last push
October 7, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

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