Profiles, repos, scores & roasts
#1069 · Top 2.4%
Vikash Khanna
Elixir, OTP, Phoenix Framework, LiveView, Enterprise Architect Polyglot Programmer , Areas of Interest: AI, ML, DL, Computer Vision, Blockchain
GitHub tourist
red alert
Overall
0.0/ 100
Repository binding unavailable
Naming a repository after yourself is wonderfully direct: no branding meeting, no ambiguity, just you versus the commit history. The metadata leaves the grand reveal teasingly offstage.
Historical result · no repository binding was retained
Repository binding unavailable
A machine-learning course-notes fork says, “I will master the field,” while the fork badge whispers, “after I finish importing the syllabus.”
Historical result · no repository binding was retained
Repository binding unavailable
Flutter plus Google Maps clustering is a bold attempt to make every pin bring a few friends. It is an ambitious mobile-map premise whose visible metadata stops before the expedition report.
Historical result · no repository binding was retained
Repository binding unavailable
Forking Swift’s foundation libraries is the software equivalent of touring the engine room: impressive scenery, though the supplied record does not reveal which wrench was yours.
Historical result · no repository binding was retained
Impact
25% weight
The portfolio touches machine learning, responsible AI, search, messaging, mobile mapping, and foundational Swift tooling, but metadata does not establish original ownership or delivered outcomes for most projects.
Consistency
15% weight
The supplied repositories show activity across several years, but the listed work is mostly forked and the visible push dates are not recent enough to establish sustained current maintenance.
Quality
25% weight
Languages and repository status provide limited maturity signals. The prevalence of forks and unavailable implementation evidence make engineering-quality conclusions necessarily modest.
Depth
20% weight
The only clearly non-forked listed repository is the profile-named repository; the available metadata does not show sustained ownership, scope, or maintenance depth for it.
Breadth
10% weight
The listed projects span Swift, C, machine-learning materials, AI tooling, messaging, course content, and mobile mapping, indicating meaningful topical variety despite limited evidence of original work.
Community
5% weight
Follower and star counts provide weak, neutral evidence under the rubric; the portfolio has some visible public presence, but popularity is not used to raise or lower the other categories.
Based on the bounded repository sample saved with this analysis.
Non-fork sample
1
Last 12 months
0
Accepted fact
22
Profile date
Apr 2009
Scores marked Profile rating use bounded public repository metadata. Full repo analysis appears only when a separate accepted repository analysis exists.
vcashk /
42/100
The sole clearly non-forked repository in the supplied set, named after the account; its metadata supports a credible personal project signal, but gives little evidence about scope or maintenance.
vcashk /
25/100
A fork of the RealWorld project, with no language metadata and a 2021 push date; the supplied evidence does not establish substantial original ownership.
vcashk /
25/100
A Swift fork of Swift Package Manager from 2016; the metadata signals exposure to foundational tooling without demonstrating independent project scope.
vcashk /
24/100
A fork focused on responsible AI, pushed in 2023; the topic is timely, while implementation and original contribution evidence are unavailable.
vcashk /
24/100
A fork named for machine-learning course notes, pushed in 2023; it suggests study-oriented material, but ownership and completeness are unknown.
vcashk /
24/100
A fork of Jina pushed in 2022, indicating interest in AI or search infrastructure, but not enough metadata to assess independent development.
vcashk /
24/100
A fork of Feathr from 2022, pointing toward feature or ML infrastructure interests without evidence of a distinct owned deliverable.
vcashk /
24/100
A fork of Swift corelibs Foundation identified as C, last shown pushed in 2016; useful ecosystem context, but original contribution depth is not established.
vcashk /
23/100
A fork of computer-science video courses from 2022, suggesting learning-resource curation rather than clearly demonstrated original engineering.
vcashk /
23/100
A fork of a community-oriented repository from 2021; the metadata gives little basis for judging distinct technical work.
vcashk /
23/100
A fork related to Flutter Google Maps clustering, last pushed in 2021; it represents mobile and mapping interest, with ownership depth unknown.
vcashk /
23/100
A fork of MongooseIM pushed in 2021; it reflects exposure to messaging software, while project maturity and personal changes cannot be determined.
How this score was produced
Overall = Σ(category × weight) + deterministic top-end curve
| Category | Weight | Score | Contribution |
|---|---|---|---|
| Impact | 25% | 31 | 7.75 |
| Quality | 25% | 32 | 8.00 |
| Depth | 20% | 27 | 5.40 |
| Consistency | 15% | 34 | 5.10 |
| Breadth | 10% | 42 | 4.20 |
| Community | 5% | 50 | 2.50 |
What it measures. Project usefulness, ambition, originality, and coherence. Popularity is not impact.
Evidence for vcashk. The portfolio touches machine learning, responsible AI, search, messaging, mobile mapping, and foundational Swift tooling, but metadata does not establish original ownership or delivered outcomes for most projects.
What it measures. Engineering and project-maturity signals supported by the available public metadata.
Evidence for vcashk. Languages and repository status provide limited maturity signals. The prevalence of forks and unavailable implementation evidence make engineering-quality conclusions necessarily modest.
What it measures. Sustained ownership, meaningful scope, and continued maintenance rather than one-shots.
Evidence for vcashk. The only clearly non-forked listed repository is the profile-named repository; the available metadata does not show sustained ownership, scope, or maintenance depth for it.
What it measures. Recency and contribution patterns across the supplied activity window.
Evidence for vcashk. The supplied repositories show activity across several years, but the listed work is mostly forked and the visible push dates are not recent enough to establish sustained current maintenance.
What it measures. Language entropy and project-type diversity across owned repos.
Evidence for vcashk. The listed projects span Swift, C, machine-learning materials, AI tooling, messaging, course content, and mobile mapping, indicating meaningful topical variety despite limited evidence of original work.
What it measures. A weak positive tie-breaker for supplied community signals, never a popularity penalty.
Evidence for vcashk. Follower and star counts provide weak, neutral evidence under the rubric; the portfolio has some visible public presence, but popularity is not used to raise or lower the other categories.
Validate. The server validates the login, signed browser session, attempts, cooldown, daily ceiling, and the single provider permit.
Collect. The VPS collector reads bounded public profile metadata and up to 12 recent repository metadata rows in volatile memory.
Rate. One pinned provider returned a closed profile-rating object with no tools, browsing, shell, or repository-content access.
Verify. Server checks bound the subject, rejected unsafe or echoed text, validated the schema, and recomputed rubric-v3 final arithmetic.
Save. Only a valid completion and allowlisted post-completion facts commit atomically; the public projection is then rebuilt.
This saved profile analysis is metadata-only and did not read repository trees, README files, or source code. Availability of new analysis is separate from this historical result.
Rated 2026-08-10 · rating-rubric/3