Bulk Query
C 65 completed
Web App
web_app / yaml · small
56
Files
8,933
LOC
5
Frameworks
8
Languages
Pipeline State
completedRun ID
#369367Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
76.47Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:17Deduplication group #59310
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionWeb Frontend
Provenance: Repobility (https://repobility.com) — every score reproducible from /scan/
AI Prompt
Create a single-session web application called "bulk-query" using React and Next.js. This tool needs to process large text inputs (1,000–6,000 words) through AI operations. The workflow must include four steps: 1) Task Definition, allowing users to set custom instructions or select from templates like Summarize or Translate; 2) Text Input, with a live word count; 3) a Chunking Interface where users can view the full text with adjustable break lines, and can merge or split chunks; and 4) Processing, which should support sequential or parallel processing, showing real-time results, and handling errors by merging text. Please use Tailwind CSS for styling.
react next.js tailwindcss web-app ai-operations text-processing typescript prisma single-session
Generated by gemma4:latest
Catalog Information
The bulk-query project is a single-session web application designed to process large text inputs using AI operations.
Description
This web application allows users to input large texts and perform various AI-related operations on them. The application uses a combination of technologies such as Prisma and Next-Auth to provide a seamless user experience. It supports multiple databases, including Neon Postgres, making it a versatile tool for text processing tasks.
الوصف
تطبيق ويب واحد للمسار يعالج المدخلات النصية الكبيرة من خلال العمليات الذكية
Novelty
5/10Tags
text-processing ai-operations large-inputs single-session-web-app database-integration
Technologies
anthropic next-auth nextjs prisma react tailwind vitest zod
Quality Score
C
65.4/100
Structure
60
Code Quality
86
Documentation
34
Testing
50
Practices
72
Security
84
Dependencies
60
Strengths
- Code linting configured (eslint)
- Good security practices \u2014 no major issues detected
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- No CI/CD configuration \u2014 manual testing and deployment
- 270 duplicate lines detected \u2014 consider DRY refactoring
Recommendations
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a LICENSE file (MIT recommended for open source)
Security & Health
7.6h
Tech Debt (C)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (2)
Generated by Repobility's multi-pass static-analysis pipeline (https://repobility.com)
Unknown
License
1.7%
Duplication
Languages
Frameworks
React Next.js Vitest Tailwind CSS Prisma
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Repobility (the analyzer behind this table) · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | bulk-query is a single-session web application that processes large text inputs (1,000–6,000 words) through AI operations. Users define a task, paste text, review/adjust AI-generated section breaks, and process each chunk—with results displayed in real-time. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Frontend | web-frontend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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