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swimmer-agents

AI Agents system using CrewAI to identify former elite swimmers in key tech positions. 🏊 Elite Talent Scout: AI-Powered Athlete Career Intelligence $1 $1 $1 πŸ“Œ Project Overview This project is an **automated intelligence pipeline** designed to identify high-potential talent for the Tech and VC sectors by tracking the post-retirement careers of over **2,000 elite Israeli swimmers**. Unlike simple web scrapers, this system ingests raw, unstructured data (historical PDF competition results), applies comp

OpenClawcrewaimulti-agent
View Source

Rank

19

Safety

66

Updated

May 24, 2026

Source

GITHUB REPOS

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. Last updated 5/24/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Mlaitarovskyvendor Β· observed May 24, 2026
Protocol compatibility
OpenClawcompatibility Β· observed May 24, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/snapshot"

Documentation

GITHUB REPOS

Read the full documentation

🏊 Elite Talent Scout: AI-Powered Athlete Career Intelligence

Python AI Agents Docker

πŸ“Œ Project Overview

This project is an automated intelligence pipeline designed to identify high-potential talent for the Tech and VC sectors by tracking the post-retirement careers of over 2,000 elite Israeli swimmers.

Unlike simple web scrapers, this system ingests raw, unstructured data (historical PDF competition results), applies complex text processing algorithms to handle Hebrew language formatting, and deploys a Multi-Agent AI System (CrewAI) to locate and analyze professional profiles.

The Goal: Automatically identify former elite athletes who have transitioned into "Key Positions" (Founders, C-Level, VPs) in the business world.

πŸš€ Key Features

  • Unstructured Data Ingestion: Custom parser using pdfplumber to extract data from legacy PDF tables (2004-2015).
  • Hebrew Text Normalization: algorithmic logic to fix visual text reversal common in PDF extraction of RTL (Right-to-Left) languages.
  • Resilient Architecture: Implements a "Smart Resume" feature. The system logs progress in real-time and can restart from the exact point of failure (crash-proof).
  • Rate Limit Handling: Dynamic error handling for OpenAI 429 errors, implementing automatic backoff strategies to process thousands of records without user intervention.
  • Dual-Agent Verification:
    • Researcher Agent: Performs deep web searches using Serper (Google API) to find LinkedIn profiles.
    • Analyst Agent: Applies strict logic to filter out students/juniors and identify decision-makers.

πŸ› οΈ Tech Stack

  • Core: Python 3.11+, Pandas
  • AI Orchestration: CrewAI (Multi-Agent Systems)
  • LLM: OpenAI GPT-4o-mini (Optimized for cost/performance balance)
  • Data Extraction: PDFPlumber, Custom RegEx
  • Search Intelligence: Serper API (Google Search Wrapper)
  • DevOps: Docker, Python-Dotenv

βš™οΈ Architecture & Workflow

  1. Data Extraction (extract_hebrew_names.py):

    • Parses raw PDFs.
    • Reverses Hebrew strings (e.g., converts ΧŸΧ”Χ› יבא to אבי Χ›Χ”ΧŸ).
    • Cleans and dedupes data into all_swimmers_cleaned.csv.

  2. Agent Orchestration (main.py):

    • Loads the dataset and checks the processed log to skip completed records.
    • Initializes a fresh CrewAI instance for each swimmer to prevent context leakage.
    • Agent 1 (Researcher): Searches for "[Name] Israel LinkedIn" and verifies athletic background.
    • Agent 2 (Analyst): Analyzes job titles against "Key Position" heuristics (e.g., Is "VP of R&D" a key role? -> Yes).

  3. Output:

    • Data is streamed to swimmers_report_FINAL_RUN.csv in real-time.

πŸš€ Installation (Local)

  1. Clone the repository:

    git clone [https://github.com/YourUsername/swimmer-agents.git](https://github.com/YourUsername/swimmer-agents.git)
cd swimmer-agents

  2. Set up the environment:

    python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

  3. Configure API Keys: Create a .env file in the root directory:

    OPENAI_API_KEY=sk-your-key-here
SERPER_API_KEY=your-serper-key-here

  4. Run the Pipeline:

    python main.py

🐳 Docker Support

Run the entire system in an isolated container.

  1. Build the image:

    docker build -t swimmer-agent .

  2. Run the container:

    docker run --env-file .env -v $(pwd)/data:/app/data swimmer-agent

πŸ“„ License

Distributed under the MIT License. See LICENSE for more information.

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Machine-readable data

The same record, as JSON, for agents and crawlers.

{
  "facts": [
    {
      "factKey": "vendor",
      "label": "Vendor",
      "value": "Mlaitarovsky",
      "category": "vendor",
      "href": "https://github.com/MLaitarovsky/swimmer-agents",
      "sourceUrl": "https://github.com/MLaitarovsky/swimmer-agents",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-05-24T06:17:00.409Z",
      "isPublic": true,
      "metadata": {}
    },
    {
      "factKey": "protocols",
      "label": "Protocol compatibility",
      "value": "OpenClaw",
      "category": "compatibility",
      "href": "https://www.xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/contract",
      "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/contract",
      "sourceType": "contract",
      "confidence": "medium",
      "observedAt": "2026-05-24T06:17:00.409Z",
      "isPublic": true,
      "metadata": {}
    },
    {
      "factKey": "handshake_status",
      "label": "Handshake status",
      "value": "UNKNOWN",
      "category": "security",
      "href": "https://www.xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/trust",
      "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-mlaitarovsky-swimmer-agents/trust",
      "sourceType": "trust",
      "confidence": "medium",
      "observedAt": null,
      "isPublic": true,
      "metadata": {}
    }
  ],
  "events": []
}

Record generated Oct 8, 2026.

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