AutoJobs — UML Activity Diagram

hostpioneers.com/autojobs · Complete Job Search Pipeline

▼
📋
USER INPUT
Paste job URL OR description text OR fill manual fields
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job_posted()
🔍
FETCH & PARSE
Extract: title, company, description, board type
▼
Perplexity API + web scraping
📡 Company info (Crunchbase, LinkedIn, website)
▼
🏷️
CLASSIFY ROLE
Detect archetype, seniority level, location
▼
🤖 Voice AI / Agentic / Backend / Full-Stack
📊 Junior / Mid / Senior / Staff
🌍 Remote / Spain / EU / US
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📐
EVALUATE — 6 Dimensions
Score each 0–100, compute weighted composite score
CV Match
0–100
× 0.25
Comp Fit
0–100
× 0.20
Seniority
0–100
× 0.15
Culture
0–100
× 0.15
Tech Stack
0–100
× 0.15
Interview
0–100
× 0.10
▼
composite_score = weighted_average()
SCORE ≥ 70?
decision gate
YES
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NO
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✨
GENERATE CONTENT
If score ≥ 70 → CV PDF + Cover Letter + Interview Prep
⏭️ SKIP — Not recommended
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📄
CV PDF
ATS-optimized, keyword injected
✉️
Cover Letter
Personalized, 3 paragraphs
🎯
Interview Prep
Questions + STAR stories
▼
📌
PIPELINE — Kanban Board
Job moves through stages as user takes action
📋
WISHLIST
Score ≥ 70, not yet applied
→
🚀
APPLIED
User submitted application
→
💬
INTERVIEW
Scheduled or completed
→
✅
RESULT
Offer / Rejected
▼
user moves cards · outcome recorded
🔔
TELEGRAM ALERTS
Horus bot notifies at key moments
🆕
Evaluation done
Score + content ready
⏰
Interview 24h
Reminder alert
🏆
Offer received
Immediate alert
▼
🤖 Horus Bot
Telegram · @Horus_Da_Bot
▼
🔁
ICP LEARNING LOOP — Future
Track conversions → auto-tune scoring weights
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Color Legend
Input
Fetch
Classify
Evaluate
Generate
Pipeline
Alert
How it works: User pastes a job URL → AutoJobs fetches & parses the listing → classifies it by role type, seniority & location → evaluates across 6 weighted dimensions (CV match, comp, seniority, culture, tech, interview feasibility) → decision gate at score 70 → if pass, generates ATS CV PDF + personalized cover letter + interview prep → job enters the pipeline board → moves Wishlist → Applied → Interview → Result as user takes action → Horus Telegram bot sends alerts at key moments. Future: ICP learning loop tracks conversions and auto-tunes scoring weights.