github_roast
프로필 분석 · 1.1K 월 방문
모든 공개 GitHub 프로필에 대해 유머러스하고 재치 있는 '로스트'를 생성하는 AI 기반 도구입니다. 사용자의 리포지토리, 기여 기록, 코딩 언어를 분석하여 여러 언어로 개인화된 재미있는 코멘트를 만듭니다. 유머 감각이 있는 개발자에게 완벽합니다.
제품 개요
github_roast 제품 개요
모든 공개 GitHub 프로필에 대해 유머러스하고 재치 있는 '로스트'를 생성하는 AI 기반 도구입니다. 사용자의 리포지토리, 기여 기록, 코딩 언어를 분석하여 여러 언어로 개인화된 재미있는 코멘트를 만듭니다. 유머 감각이 있는 개발자에게 완벽합니다.
Preview
StarLens 제품 개요
AI 기반 도구로, GitHub 프로필과 스타를 누른 리포지토리를 분석하여 통찰력 있는 요약과 재치 있는 '로스트'를 생성합니다. 여러분의 코딩 관심사가 여러분에 대해 무엇을 드러내는지 재미있고 공유 가능한 형식으로 발견해 보세요.
Preview
Detailed feature comparison
| Feature | github_roast | StarLens |
|---|---|---|
| 주요 카테고리 | 프로필 분석 | 코드 분석 |
| 등록일 | 2025-08-04 | 2025-08-11 |
| 가격 | 무료 | 무료 |
| 공식 사이트 | github-roast.pages.dev | starlens.aisprint.dev |
| 제품 유형 | 웹사이트 | 웹사이트 |
| Performance data | ||
| 사용자 평점 | 확인되지 않음 | 확인되지 않음 |
| 댓글 | 0 | 0 |
| 월 방문 | 1.1K | 3.4K |
| 월 성장률 | 2.4% | 확인되지 않음 |
| 즐겨찾기 | 129 | 76 |
| Details | 상세 보기 | 상세 보기 |
github_roast vs StarLens monthly traffic
Compare github_roast and StarLens by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the github_roast vs StarLens monthly traffic comparison, github_roast currently shows 1.1K visits and StarLens shows 3.4K; StarLens has about 3 times the visible traffic of github_roast, an absolute difference of about 2.2K visits. This reflects visible reach, not feature quality or paid users.
Only github_roast has complete third-party traffic details; StarLens uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
github_roast monthly traffic:
Latest traffic
월 방문
1.1K
평균 방문 시간
0:10
방문당 페이지
1.32
이탈률
70.6%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 1.4K 월 방문
- 2026/1: 1.6K 월 방문
- 2026/2: 695 월 방문
- 2026/3: 1.3K 월 방문
- 2026/4: 1.1K 월 방문
- 2026/5: 1.1K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 40.96% | 463 |
| 🇨🇦Canada | 18.49% | 209 |
| 🇮🇳India | 14.85% | 168 |
| 🇮🇩Indonesia | 14.8% | 167 |
| 🇧🇷Brazil | 10.9% | 123 |
검색 키워드
github profile roastergithub profile roastinggithub repo roastroast my github
StarLens monthly traffic:
Latest traffic
월 방문
3.4K
Traffic-based selection guidance: The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Usage comparison
Compare the core capabilities of github_roast and StarLens
github_roast Core features
프로필 분석
유머
StarLens Core features
코드 분석
개인화된 콘텐츠
분석
프로필 개선
Use cases
github_roast Use cases
AI
코드 분석
개발자
GitHub
오픈 소스
로스트
재미있는
생성기
유머
프로필 검토
프로그래밍
StarLens Use cases
AI
코드 분석
개발자
GitHub
오픈 소스
로스트
개발자 도구
대규모 언어 모델
n8n
프로필 분석
weweb
github_roast vs StarLens：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth github_roast vs StarLens comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. github_roast is primarily listed under “프로필 분석”, while StarLens is primarily listed under “코드 분석”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (github_roast: 프로필 분석; StarLens: 코드 분석); Monthly visits (github_roast: 1.1K; StarLens: 3.4K); Favorites (github_roast: 129; StarLens: 76); Website (github_roast: github-roast.pages.dev; StarLens: starlens.aisprint.dev); Added (github_roast: 2025-08-04; StarLens: 2025-08-11). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the github_roast vs StarLens monthly traffic comparison, github_roast currently shows 1.1K visits and StarLens shows 3.4K; StarLens has about 3 times the visible traffic of github_roast, an absolute difference of about 2.2K visits. This reflects visible reach, not feature quality or paid users.
Only github_roast has complete third-party traffic details; StarLens uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Product positioning, use cases, and roles
github_roast and StarLens currently overlap in shared tags: AI, 코드 분석, 개발자, GitHub, 오픈 소스 및 로스트. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
github_roast's unique categories/tags are 프로필 분석, 유머, 재미있는, 생성기, 프로필 검토 및 프로그래밍; StarLens's are 코드 분석, 개인화된 콘텐츠, 분석, 프로필 개선, 개발자 도구, 대규모 언어 모델, n8n 및 프로필 분석. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
github_roast has no verified rating, 0 comments, 129 favorites, and 104 likes；StarLens has no verified rating, 0 comments, 76 favorites, and 89 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate github_roast first
Put github_roast on the priority trial list when the task aligns with “프로필 분석” and especially 프로필 분석, 유머, 재미있는, 생성기, 프로필 검토 및 프로그래밍. This follows recorded positioning and does not imply unlisted capabilities are absent.
github_roast also currently records: pricing is free, product type is website, 1.1K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate StarLens first
Put StarLens on the priority trial list when the task aligns with “코드 분석” and especially 코드 분석, 개인화된 콘텐츠, 분석, 프로필 개선, 개발자 도구 및 대규모 언어 모델. This follows recorded positioning and does not imply unlisted capabilities are absent.
StarLens also currently records: pricing is free, product type is website, 3.4K on-site monthly views, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in github_roast and StarLens, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
비교 FAQ
How should I choose between github_roast and StarLens?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.