Scraping repos…
Reading their public GitHub…
🔥 CERTIFIED DISASTER
“39 repos, 12 stars — that’s not AI engineering, that’s a graveyard.”
Tap the card to see how it was minted
Minted from @NurmukhamedKZ’s public GitHub
10followers12stars39reposPythontop lang
Why 39/100
Stars on your live, original repos — discounted if it's all one viral hit.
Developers who follow your work.
How much of your live portfolio is actually active.
Substantive original repos and language range.
Descriptions, licenses, topics, live links — finished work.
Days since your last push to a live original repo.
The roast
The glaring fact: 72% of your 39 original repos have zero descriptions. Even your ‘DeepSeekHarness’ repo struggles with under 20 KB and zero stars — a fitting representation of the ambition behind your so-called AI projects. You’ve created 11 repos that collided with the wall of neglect, all abandoned within two weeks; ‘VolunteerAPP’ and ‘MCP_test_project’ dead on arrival, echoing silence for six months or more.
Your star distribution tells a story: 8 of the 12 stars are hoarded by ‘Otclick-hh’, leaving the rest of your portfolio to squabble over just 4. With 39 repos but only 12 stars collected, your vanity project spree highlights more confusion than competence. You’ve got a push cadence that suggests your enthusiasm fades long before the deadlines, with the longest gap between pushes stretching a staggering 107 days.
[](https://gitroast.me/u/NurmukhamedKZ)Account age, portfolio size, public repo count.
Builder Score recalibrated 2026-07.