Welcome to HireLens — HireLens Docs

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# Welcome to HireLens

> **The hiring intelligence infrastructure for the modern tech economy.**

HireLens is not just another job board. It is a **real-time data engine** that continuously collects, normalizes, enriches, and scores hiring signals across the global tech, Web3, and crypto landscape — then exposes that intelligence through powerful tools anyone can use.

We process **thousands of signals daily** from an ever-growing network of sources — Telegram channels, job boards, career pages, aggregators, and custom scrapers. Every signal passes through our AI pipeline: structured extraction, deduplication, salary normalization, risk scoring, company enrichment, and vector embedding.

The result is a **living, queryable map of the job market** — not a static list of postings.

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## Why HireLens Exists

The hiring market is fragmented. Vacancies are scattered across hundreds of Telegram channels, dozens of job boards, and thousands of career pages. There is no single source of truth.

HireLens solves this by building the **unified intelligence layer**:

- **One data model** — Every signal, regardless of source, is normalized into a consistent schema with 50+ structured fields
- **AI-powered analysis** — LLMs extract role, seniority, salary, stack, domain, risk, and quality score from raw text
- **Continuous enrichment** — Company profiles are auto-generated and improved as more data flows in
- **Real-time ingestion** — New signals appear within minutes of being posted

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## What You Can Build on HireLens

HireLens is **infrastructure**. Organizations and developers use it as the foundation for:

### Job Boards & Career Platforms
Build niche or vertical job boards powered by our normalized, scored, and enriched data. Launch a DeFi-only job board, a remote-first platform, or an enterprise hiring portal — all from the same API.

### Applicant Tracking Systems (ATS)
Feed your ATS with real-time market intelligence. Benchmark your open positions against the market, identify competitive salary ranges, and track how your listings compare.

### HR Analytics & Market Research
Understand hiring trends at scale. Which roles are growing? What salaries are companies offering? Which domains are oversaturated? Build dashboards and reports that answer these questions in real time.

### Recruitment Agencies
Monitor the market for your clients. Get alerts when specific companies start hiring, track role demand across geographies, and provide data-backed advisory.

### Salary Benchmarking Tools
Build compensation analysis products using our normalized salary data across thousands of positions.

### Talent Intelligence Platforms
Combine our hiring signal data with your own datasets to build comprehensive talent market analytics.

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## Core Capabilities

| Capability | Description |
|-----------|-------------|
| **Signal Collection** | Continuous ingestion from a growing network of hundreds of sources |
| **AI Scoring** | Every vacancy receives a 0–10 quality score with risk flags |
| **Salary Normalization** | Raw salary text converted to structured USD ranges for comparison |
| **Company Enrichment** | Auto-generated profiles with logo, website, industry, size |
| **Semantic Search** | Natural language queries understood by vector embeddings |
| **Visual Analytics** | No-code pipeline builder for custom data analysis |
| **Market Graph** | Interactive force-directed visualization of the entire market |
| **REST API** | Full programmatic access with filtering, pagination, and search |
| **Real-time Updates** | New signals processed and available within minutes |

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## Platform at a Glance

- **[Dashboard](/dashboard)** — Real-time metrics and market overview
- **[Vacancies](/vacancies)** — Search, filter, and explore all signals
- **[Companies](/companies)** — Enriched company profiles and hiring activity
- **[Analytics Studio](/analytics/studio)** — Visual no-code pipeline builder
- **[Market Map](/graph)** — Interactive graph of the entire job landscape
- **[API](/docs/api-reference)** — Programmatic access to everything

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*Ready to dive in? Start with the [Quick Start Guide](/docs/quick-start) or jump straight to [Use Cases](/docs/use-cases).*

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