Outreach Automation
C 64 completed
Cli Tool
unknown / javascript · small
189
Files
28,775
LOC
0
Frameworks
3
Languages
Pipeline State
completedRun ID
#307190Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
43.00Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47579
Member of a group with 1 similar repo(s) — canonical #35089 view group →
Top concepts (12)
Project DescriptionRepositoryData/MLinfrastructuretestingNotificationsSearchTestingConfigurationAnalyticsFile ManagementLogging
All rows scored by the Repobility analyzer (https://repobility.com)
🧪 Code Distillation
Browse all specs →AI Prompt
Create an AI-powered outreach automation platform using JavaScript. The system needs to handle local business outreach for KSD and youth football club outreach for UFH. Key features should include scraping Google Maps, enriching scraped data with website details, and using an LLM to extract owner names. The platform must be able to discover and verify emails using services like Icypeas and Reoon, and finally export the verified leads to platforms like Lemlist or Mailead. Include scripts for batch processing, campaign enrichment, and cleaning up leads.
javascript automation outreach scraping llm email-verification kds ufh web-scraping api
Generated by gemma4:latest
Catalog Information
The kobestarr__outreach-automation project is an AI-powered outreach platform designed for KSD and UFH to automate local business outreach and youth football clubs nationwide.
Description
This project is a comprehensive outreach automation system that leverages AI to scrape Google Maps, enrich website data, extract owner names via Large Language Models (LLM), discover and verify emails, and export leads to various platforms. It consists of multiple scripts that work together to automate the outreach process for local businesses and youth football clubs nationwide.
الوصف
هذا المشروع هو نظام تلقائي للتواصل الذي يستخدم الذكاء الاصطناعي لاستخراج البيانات من خرائط جوجل، وتحسين بيانات المواقع، واستخراج أسماء المالكين باستخدام Large Language Models (LLM)، واكتشاف وإرسال بريد إلكتروني، والتصديق على البريد الإلكتروني، والإخراج إلى منصات متعددة. يتألف المشروع من عدة سكريبتات تعمل معًا لتحقيق عملية التواصل التلقائية للمواقع المحلية والجمعيات الرياضية للشباب في جميع أنحاء العالم.
Novelty
7/10Tags
outreach-automation ai-powered-outreach-platform local-business-outreach youth-football-clubs email-discovery email-verification lead-export
Technologies
anthropic openai playwright
Claude Models
claude-sonnet-4.5 claude-opus-4.6
Quality Score
C
63.5/100
Structure
57
Code Quality
70
Documentation
78
Testing
50
Practices
54
Security
76
Dependencies
80
Strengths
- Consistent naming conventions (kebab-case)
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- No CI/CD configuration \u2014 manual testing and deployment
- 2706 duplicate lines detected \u2014 consider DRY refactoring
- 4 'god files' with >500 LOC need decomposition
Recommendations
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a linter configuration to enforce code style consistency
- Add a LICENSE file (MIT recommended for open source)
- Address 81 TODO/FIXME items \u2014 consider tracking them as issues
Security & Health
25.3h
Tech Debt (C)
Medium
DORA Rating
A
OWASP (100%)
Repobility · open methodology · https://repobility.com/research/
PASS
Quality Gate
A
Risk (2)
Unknown
License
8.0%
Duplication
Languages
Frameworks
None detected
Symbols
variable2,357
function405
constant218
method19
class3
API Endpoints (1)
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| POST | /webhooks/prosp | app.post | Express/Koa | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concepts (12)
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| auto_description | Project Description | AI-powered outreach platform. Scrapes Google Maps, enriches with website data, extracts owner names via LLM, discovers and verifies emails, and exports to Lemlist (email), Mailead (cold email), and GoHighLevel (SMS/phone). | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| design_pattern | Repository | Found repository-named files | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Data/ML | data-ml | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | infrastructure | Detected infrastructure layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | testing | Detected testing layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Notifications | Detected from 25 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Search | Detected from 6 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Testing | Detected from 59 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Configuration | Detected from 2 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Analytics | Detected from 3 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | File Management | Detected from 3 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Logging | Detected from 3 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Provenance: Repobility (https://repobility.com) — every score reproducible from /scan/
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