Amor vs echoloc

Top 1% Engineer Discovery

Amor's algorithm identifies over 100,000 engineers who have made more than 500 contributions in the last year, representing the most active and prolific developers on GitHub. This metric serves as a powerful initial filter to surface individuals with proven, consistent output, allowing recruiters to start their search with a pre-vetted pool of highly engaged technical talent.

Contribution Pattern Analysis

The platform provides deep insights into a developer's work ethic and coding habits by analyzing their commit frequency, consistency, and even weekend activity. This goes beyond a simple contribution count, helping hiring managers assess cultural fit, dedication, and the natural working rhythms of potential candidates before making contact.

Smart Location Filtering

Amor solves the common problem of noisy or ambiguous location data on GitHub profiles by cleaning and standardizing it. Users can search for engineers by specific city, region, or country with high accuracy, enabling precise geo-targeting for roles with location-specific requirements.

One-Click Export to Ashby

This feature seamlessly integrates the sourcing and hiring pipeline. Users can export curated candidate lists directly into an Ashby-compatible CSV format. The export is auto-enriched with data like emails parsed from GitHub commits and LinkedIn URLs, and profiles are tagged for easy organization within the ATS.

Natural Language Search

Echoloc eliminates the need for complex Boolean strings or filter training. Users can describe the exact buying signal they are looking for in plain English, such as "companies hiring their first VP of Sales" or "startups using dbt and Snowflake." The platform's intelligent search interprets these queries and returns live, matching results from its vast database, making sophisticated signal discovery accessible and intuitive for every team member.

Evidence-Based Results with Proof

Every company match in Echoloc is accompanied by direct snippets from the relevant job postings. This provides undeniable proof of the buying signal, moving beyond speculative lists to concrete evidence. Sales professionals can see the exact language from the job description that indicates a greenfield project, a tech stack investment, or hiring pain, allowing for highly informed and personalized outreach that references specific, timely needs.

Real-Time Signal Database

The platform continuously monitors and analyzes over 10 million job posts across 30 million companies, providing real-time updates. This ensures that the intelligence is current, allowing users to act on opportunities within hours or days of a signal appearing, not weeks later when the intent has become common knowledge and competitive noise is high.

Categorized Buying Signals

Echoloc organizes opportunities into clear, actionable signal categories like "First Hire," "Hiring Spike," "Tech Stack," "New Leader," "Urgent Pain," and "Geo Expansion." This systematic categorization helps teams quickly prioritize leads based on the strength and type of signal, focusing efforts on companies demonstrating the most definitive signs of active investment and immediate need.

In-House Recruiting Teams Scaling Quickly

Internal talent acquisition teams at fast-growing startups and tech companies use Amor to build a high-volume pipeline of qualified engineers without compromising on quality. The platform's filters for technical skills and contribution patterns help reduce time-to-hire while ensuring candidates have the demonstrated technical chops required.

Recruiting Agencies Gaining a Competitive Edge

Agencies leverage Amor to access an exclusive, untapped talent pool of engineers not actively found on LinkedIn. This allows them to present unique, high-caliber candidates to clients faster than competitors, improving placement speed and success rates for specialized or senior engineering roles.

Engineering Managers Hiring for Team Fit

Hiring managers utilize Amor to find engineers who will thrive within their specific team culture and project needs. By reviewing repository insights and contribution consistency, they can gauge a candidate's technical passions and work ethic, leading to more informed and successful hiring decisions.

Sourcing for Niche Technical Stacks

Recruiters and sourcers answer highly specific queries efficiently, such as finding front-end engineers in New York City proficient in Next.js, or backend developers in Europe with extensive experience in Rust. Amor's granular filters turn these complex searches into simple, quick processes.

Outbound Sales Prospecting

Sales Development Representatives (SDRs) and Account Executives (AEs) can use Echoloc to build hyper-targeted outbound lists. By searching for signals like "first security engineer hire" or "companies migrating to Salesforce," they can identify companies in active, funded buying cycles and craft tailored messaging that resonates with the prospect's current, documented initiatives, dramatically increasing reply and meeting rates.

Market Intelligence and Expansion

Product, marketing, and strategy teams can leverage Echoloc to understand market trends and identify expansion opportunities. Tracking signals such as "geo expansion into London" or "hiring spikes in fintech" provides real-time insight into which industries and regions are growing, what new technologies companies are adopting, and where to allocate resources for maximum impact.

Competitive Deal Tracking

Revenue teams can monitor job postings from competitors' customers to identify accounts that may be experiencing pain or undergoing changes. A signal like a company hiring a "Revenue Operations Manager to lead a Salesforce implementation" could indicate dissatisfaction with a current vendor (e.g., HubSpot), revealing a timely opportunity to pitch a competing solution.

Investor and Partnership Scouting

Venture capitalists and business development professionals can use Echoloc to find promising, high-growth companies early. Signals like a "first ML engineer hire" or a "hiring spike of 5+ engineers" serve as strong, quantitative indicators of scaling, funding, and technological ambition, helping to identify potential investment targets or partnership opportunities before they are widely recognized.

Amor is an innovative, data-driven platform designed to revolutionize technical recruitment by sourcing the world's top engineering talent directly from GitHub. It serves engineering managers, in-house recruiters, talent sourcers, and recruiting agencies who need to identify and hire highly skilled developers efficiently. The platform's core value proposition is its ability to uncover exceptional, "cracked" engineers who prioritize building and coding over professional networking, a talent pool often missed by traditional LinkedIn-focused searches. Amor analyzes an immense dataset of over 8 million developer profiles, 66 million repositories, and 145 billion stars to help users find the top 1% of engineers based on real, verifiable contribution activity. By offering advanced filtering on commit frequency, programming languages, project types, and cleaned location data, Amor eliminates the need for manual scripting and endless profile scraping. It streamlines the entire sourcing workflow, from discovery and collaboration to exporting enriched candidate data directly into Applicant Tracking Systems (ATS) like Ashby, enabling teams to hire better engineers significantly faster.

Echoloc is a pioneering Hiring Signals Platform designed to fundamentally shift how sales and revenue teams discover and engage with potential buyers. It operates on a powerful, yet simple, premise: job postings are not just HR noise; they are leaked intent. By analyzing millions of job descriptions in real-time, Echoloc uncovers concrete, early-stage buying signals that traditional intent data providers miss. The platform identifies critical moments—like a company hiring its first data engineer, scaling a sales team by 8+ reps, or opening a new office in a different region—that signal active investment, new projects, and urgent needs. This enables Sales Development Representatives (SDRs), Account Executives (AEs), and entire revenue teams to target companies with precision and, most importantly, with superior timing. Instead of competing for attention on stale lead lists, users can engage prospects when they are actively building budgets and making vendor decisions, turning job posts into a searchable database of pre-intent opportunities and providing a decisive competitive edge.

How does Amor find candidate contact information?

Amor auto-enriches profiles by programmatically parsing email addresses from developers' public Git commit histories on GitHub. This provides a direct, work-related contact method. The platform also searches for and includes links to publicly available LinkedIn and social media profiles when possible.

What makes Amor better than searching on LinkedIn?

Amor focuses exclusively on verifiable coding activity and technical output from GitHub, the primary platform for developer work. This surfaces candidates who are actively building and may not maintain a polished LinkedIn profile. It provides objective data on skills and consistency, unlike the self-reported information often found on professional networking sites.

Can I collaborate with my team on the platform?

Yes, Amor includes built-in collaboration tools designed for hiring teams. Users can create and share candidate lists, add internal notes and comments directly to profiles for team visibility, and soon will be able to share profiles directly with hiring managers without requiring them to log in.

How does the export to Ashby work?

After building a list of candidates, you can click "Export to Ashby." Amor compiles the list into a formatted CSV file that matches Ashby's import requirements. The file includes enriched data like emails, LinkedIn URLs, and tags indicating the source repository and list name, making it ready for immediate import into your Ashby ATS.

What types of buying signals can Echoloc identify?

Echoloc is designed to identify a wide range of concrete buying signals from job postings. Key categories include: First Hires (e.g., first data engineer), indicating new budget creation; Hiring Spikes, signaling rapid scaling and infrastructure needs; Tech Stack mentions, revealing specific tool investments; New Leadership roles (e.g., Chief Data Officer), pointing to budget reorganization; Roles open for 45+ days, highlighting urgent hiring pain; and Geo Expansion, showing new regional budget ownership.

How current is the data in Echoloc?

The data in Echoloc is updated in real-time. The platform continuously scans and analyzes millions of job posts, with results marked with how recently they were seen (e.g., "2d ago"). This ensures sales teams are acting on the most timely signals available, often catching opportunities within days of a job being posted, long before the intent appears on review sites or traditional platforms.

Do I need special training to use the search?

No special training is required. Echoloc's core feature is a natural language search that allows you to type queries as you think of them. You can describe the signal you're looking for in plain English, such as "companies hiring their first VP of Sales" or "startups using Snowflake," and the platform will return relevant, live matches. This makes it accessible for all team members without technical expertise.

What proof does Echoloc provide for its matches?

Echoloc provides direct, verifiable proof for every company match. Each result includes specific snippets from the actual job postings that triggered the signal. For example, you can see the exact sentence from a job description that says "Building our data platform from scratch" or "Migrating from HubSpot to Salesforce." This evidence-based approach removes guesswork and enables highly contextual outreach.

Amor is a specialized HR and recruiting platform that helps teams source top engineering talent directly from GitHub. It analyzes commit activity, contribution patterns, and location data to identify highly skilled developers who may not be active on traditional professional networks. Users often explore alternatives for various reasons, such as budget constraints, a need for different feature sets, or a preference for platforms that source from multiple channels beyond GitHub. Some may seek tools with broader candidate databases or different pricing models. When evaluating an alternative, consider the primary data sources, the depth of technical filtering available, the accuracy of location and skill data, and how well the platform integrates into your existing recruitment workflow. The goal is to find a tool that efficiently delivers qualified, relevant candidates.

Echoloc is a sales intelligence platform in the business and finance category. It specializes in identifying early buying signals by analyzing company job postings, helping sales teams target accounts that are actively preparing to invest in new solutions. Users may explore alternatives for various reasons, such as budget constraints, the need for different feature sets, or integration requirements with their existing tech stack. Some may seek platforms with broader data sources beyond job listings or different user interface preferences. When evaluating alternatives, consider the core data sources and accuracy of buying signals, the depth of company and contact information provided, integration capabilities with your CRM and sales engagement tools, and the overall pricing model relative to the value delivered.