LeadForge

High-performance Rust CLI for concurrent lead generation from real-world data sources.

leadforge fetches and processes job listings (currently from Hacker News) using an async streaming pipeline with bounded concurrency, retry logic, and filtering — designed for building real lead generation workflows.

The tool is built for developers, freelancers, and founders who want to extract actionable opportunities from live data.

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Features

Concurrent Data Fetching

Fetches job postings using bounded concurrency via async streams.

This allows hundreds of requests to be processed efficiently without overwhelming the system or the API.

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Streaming Pipeline Architecture

Jobs are processed as a stream:

job IDs
↓
async fetch (concurrent)
↓
retry + timeout handling
↓
filtering (keyword)
↓
collected results

Benefits:

• efficient resource usage
• fast time-to-first-result
• scalable to large datasets

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Retry & Resilience

Built-in retry logic with exponential backoff handles:

• network timeouts
• connection failures
• server errors (5xx)
• rate limiting (429)

This makes leadforge robust against unreliable APIs.

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Keyword Filtering

Filter results directly in the pipeline:

• case-insensitive matching
• applied during streaming (no extra pass)

Example:

leadforge hacker-news --keyword rust

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Structured Output (JSON)

Results are returned as structured JSON, making it easy to:

• pipe into other tools
• store results
• integrate with scripts or APIs

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Example

Fetch the latest 5 Hacker News job postings:

leadforge hacker-news --limit 5

Example output:

[
  {
    "id": 47251163,
    "by": "yeldarb",
    "score": 1,
    "time": 1772646584,
    "title": "Roboflow (YC S20) Is Hiring a Security Engineer for AI Infra",
    "url": "https://roboflow.com/careers",
    "text": null
  }
]

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Real-World Usage

leadforge can be used as a lead discovery engine:

Find Rust jobs

leadforge hacker-news --keyword rust --limit 20

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Save results to a file

leadforge hacker-news --limit 50 > jobs.json

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Pipe into other tools

leadforge hacker-news --keyword remote \
| jq '.[] | .title'

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CLI Options

Option	Description
--limit <N>	Maximum number of job postings to return
--max-concurrency	Maximum number of concurrent HTTP requests
--max-retries	Retry attempts per request on transient failures
--timeout	Request timeout in seconds (per request)
--keyword	Filter results by keyword in job title

Example:

leadforge hacker-news \
  --limit 20 \
  --max-concurrency 50 \
  --max-retries 3 \
  --timeout 10 \
  --keyword rust

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Documentation

Generate full Rust documentation locally:

cargo doc --open

Key components:

• run — core execution entry point
• LeadForgeCommand — command abstraction layer
• fetch_jobs — async pipeline for job ingestion
• LeadForgeError — structured error handling

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Architecture

leadforge is structured as a clean layered system:

CLI (clap)
↓
Command conversion
↓
Execution (run)
↓
Async pipeline (streams + concurrency)
↓
HTTP client (reqwest)

This separation allows:

• easy extension to new data sources
• clean testing
• reusable core logic

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Performance

The tool is optimized for:

• high concurrency
• low overhead per request
• minimal blocking

Performance depends on:

• network latency
• API responsiveness
• concurrency settings

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Installation

Build from Source

git clone https://github.com/writeonlycode/leadforge
cd leadforge
cargo build --release

Binary:

target/release/leadforge

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Install via Cargo

cargo install leadforge

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Why Rust?

Rust allows leadforge to combine:

• high concurrency without threads explosion
• memory safety
• predictable performance
• zero-cost abstractions

This makes it ideal for data ingestion pipelines and lead generation tools.

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License

MIT / Apache 2.0