Accepted player card · Rank #1078

@subho007

Subho Halder

Hacker, Programmer, Entrepreneur, Pentester and Exploiter. Loves to exploit Android and iOS. Creator of #AFE. Founder of @appknox

28.6Tier F

Category breakdown

rating-rubric/3

Consistency

28

The supplied repositories show limited visible activity: one older Java fork and a cluster of recent forks, with no contribution totals available.

Impact

29

The repository themes point toward security, AI, code analysis, and benchmarking, but the metadata primarily identifies forks rather than clearly owned, distinctive projects.

Quality

27

Language metadata and repository status provide little evidence about engineering maturity; the visible fork-heavy portfolio does not support a higher score.

Breadth

31

The names span networking, security, AI, code analysis, leaderboards, and benchmarking, though most entries are unknown-language forks.

Depth

24

The metadata shows little evidence of sustained ownership or maintenance of original work; the only Java project listed is a fork with an older push date.

Community

50

Community evidence is limited to profile followers and minimal repository stars; popularity is treated only as a neutral-to-weak positive signal.

Contribution activity

365 day window

Playful reviews

The vintage guest appearance

Forking okhttp is like bringing a famous networking veteran to your portfolio: impressive company, though the metadata suggests you mostly handed it a visitor badge.

Security, now with more AI

AI cybersecurity is an ambitious intersection, but as a forked collection it currently feels like a conference track waiting for its keynote implementation.

The sequel nobody numbered

The numbered AI-security repository has the energy of a franchise expanding before the first installment has finished explaining the plot.

Leaderboard of leaderboards

An LLM leaderboard collection is perfectly on theme: even the project is keeping score of projects that keep score.

Evaluation with extra seasoning

The unusually named LLM evaluation collection gives the portfolio a memorable flourish—proof that even benchmarking can arrive with a typo-shaped signature.

Repository highlights

subho007/okhttp

31

A Java fork of okhttp, showing association with a substantial networking project but limited evidence of original ownership in the supplied metadata.

Java0 stars

subho007/awesome-ai-cybersecurity

28

A forked collection focused on AI cybersecurity resources, suggesting topical interest but not clearly demonstrating original implementation work.

Unknown1 stars

subho007/awesome-security

26

A forked security resource collection; the metadata supports curation interest, with no evidence here of distinctive authored content.

Unknown0 stars

subho007/awesome-code-llm

26

A forked collection centered on code-focused language models, indicating current-topic exploration without visible original engineering scope.

Unknown0 stars

subho007/static-analysis

28

A forked static-analysis resource project, aligned with a technically meaningful topic but not enough metadata to establish depth of ownership.

Unknown0 stars

subho007/awesome-gpt-security

26

A forked collection about GPT security, reflecting a focused security theme while offering little evidence of independent implementation.

Unknown0 stars

subho007/awesome-ai-security-1

25

A forked AI-security collection with a numbered name, suggesting experimentation or duplication rather than a clearly differentiated project.

Unknown0 stars

subho007/awesome-ai-security

26

Another forked AI-security collection, reinforcing the portfolio theme but not establishing distinct authored scope from metadata alone.

Unknown0 stars

subho007/awesome-llm-leaderboards

27

A forked collection of LLM leaderboards, pointing to evaluation interests without visible evidence of a maintained original system.

Unknown0 stars

subho007/awesome-foundation-model-leaderboards

27

A forked foundation-model leaderboard collection with a clear evaluation theme but limited evidence of independent contribution.

Unknown0 stars

subho007/awesome-llm-benchmark

27

A forked LLM benchmark collection, relevant to model evaluation yet not demonstrably an original benchmark implementation from the supplied fields.

Unknown0 stars

subho007/awaresome_llm_eval_benchmark

25

A forked LLM evaluation collection with an unusually spelled name, suggesting exploratory curation but little visible evidence of ownership.

Unknown0 stars