echoloc

Natural Language Signal Search

Enables users to search using plain English phrases describing hiring scenarios, such as "first ML engineer hire," without needing to learn complex query syntax or filters.

Intent Signal Detection and Categorization

Analyzes job post content to detect and categorize buying signals based on role seniority, hiring velocity, technology mentions, and implementation language.

Evidence-Snippet Results Presentation

Delivers each match with direct job post excerpts, posting dates, and company details, providing verifiable proof for sales outreach and reducing uncertainty.

CSV Export and Advanced Filtering

Allows exporting full result sets to CSV and applying filters for company size, location, and industry to streamline prospect list creation for targeted campaigns.

Real-Time Job Post Monitoring

Continuously refreshes the job post database, indicated by "last seen" timestamps, to ensure users access current and relevant buying signals for timely engagement.

• Sales Teams: Identify companies hiring their first data engineer to detect greenfield data platform investments from job posts.
• B2B Marketers: Find fintech startups with engineering hiring spikes for targeted infrastructure tool campaigns using real-time signals.
• Investors: Monitor Chief Data Officer hires as signals for analytics vendor budget reorganizations via job post analysis.
• HR Technology Vendors: Target organizations with security roles open over 45 days to pitch urgent procurement solutions with evidence.
• Startup Founders: Use tech stack job post signals like dbt to identify companies investing in data infrastructure for competitive intelligence.

What is echoloc?

Echoloc is a hiring signals platform that analyzes public job postings to identify buyer intent for sales and marketing teams. It transforms job post data into searchable insights about a company's growth, tech stack investments, and hiring priorities, enabling users to find prospects before traditional intent data sources.

How is this different from technographics?

Technographics tools focus on a company's installed technology stack, often from static or self-reported data. Echoloc uses real-time job post analysis to detect active projects, budget allocations, and implementation plans mentioned in hiring contexts, providing a leading indicator of future technology purchases rather than a snapshot of current tools.

How fresh is the data?

The platform provides real-time updates, with job post evidence showing last seen dates. The context shows matches updated within hours, such as "6h ago" or "1d ago." Data freshness depends on when companies post new jobs, and the system continuously ingests new postings from its aggregated sources.

Can I export results?

Yes, exporting results to a CSV file is a feature available on the Standard paid plan. The free plan includes evidence snippets but does not support exports. Exported data typically includes company details, signal type, job snippets, and links for sales outreach.

Do I need to know exact keywords?

No, users do not need to construct complex keyword queries. Echoloc is designed for plain English queries, such as "companies hiring their first ML engineer." The platform's engine parses the intent behind the natural language query, analyzing job posts for context like role seniority and tech mentions rather than relying on exact keyword matches.

What makes echoloc different from other tools?

Echoloc differs by using job post analysis as a primary data source for sales intelligence, focusing on hiring activity as a proxy for buying intent. It provides direct evidence from job descriptions and emphasizes signals like "first hire" or "hiring spike," which indicate new budget or project initiation, unlike tools that rely on website visits or review site activity.

What data sources does echoloc use?

Echoloc aggregates data from public job postings, individual company career pages, and feeds from applicant tracking systems (ATS). This multi-source approach ensures broad coverage of hiring activity across companies of various sizes and industries, allowing the platform to detect signals as soon as jobs are published.

How can sales teams use these hiring signals?

Sales teams can use the signals to identify companies in specific growth phases, such as a first technical hire indicating a new tech budget or a "rollout" signal suggesting a major software implementation. This allows for targeted outreach with relevant messaging, such as addressing pain points mentioned in the job description or offering complementary solutions to the new team.

What is the accuracy of the signal detection?

The platform uses machine learning to analyze job post text for contextual signals like seniority, hiring velocity, and tech mentions, going beyond simple keyword matching. While the context does not specify a precision metric, it emphasizes that every match includes the original job post snippet as proof, allowing users to manually verify the signal's relevance for their specific use case.

Is there a free trial or free plan?

Yes, there is a free plan that allows users to get started with basic search functionality. It includes up to 10 searches per month and the ability to view up to 40 results with evidence snippets, but without export capabilities. The free plan provides a way to evaluate the signal quality before committing to a paid subscription.

How does echoloc handle data privacy and compliance?

Echoloc's data sources are public job postings, career pages, and ATS feeds, which are publicly accessible information. The platform operates as a data aggregator and analyzer. Users should review the company's Privacy Policy and Terms of Service for specific details on data handling, but the tool itself does not require access to private user data or company internal systems.

What types of buying signals can be detected?

The platform identifies signals such as "First Hire" (e.g., first ML engineer), "Hiring Spike" (multiple roles in a short period), "Rollout/Migration" (mentions of implementing new systems like Salesforce), "Keyword Match" (specific tech stack mentions), "New Leader" (hiring for executive roles like Chief Data Officer), "Urgent Pain" (open roles for an extended period), and "Geo Expansion" (first hire in a new region). Each signal type correlates with different sales opportunities and budget cycles.

echoloc is a sales intelligence platform that converts public job postings into real-time buyer intent signals. It helps identify companies actively building teams or adopting new technologies, indicating potential sales opportunities. The tool analyzes job content for specific hiring patterns and provides evidence snippets for outreach.

• Access echoloc.ai and create a free account to initiate basic job-based signal searches without a credit card.
• Enter a plain English description of your target hiring scenario, like "first ML engineer hire" or "Salesforce rollout mentions."
• The engine processes millions of job posts, detecting intent through role seniority, hiring velocity, and tech stack language.
• Examine the results table, where each company match includes the relevant job snippet, posting date, and firmographic data.
• Refine the prospect list using filters for company size, location, or industry to prioritize high-intent accounts.
• Export the filtered dataset to CSV format for CRM import or campaign planning, a feature in the Standard plan.
• Incorporate the provided job post evidence into sales communications to reference specific, timely hiring initiatives.
• Monitor signal updates over time, as job posting data refreshes frequently to maintain pipeline relevance.
• Upgrade from the free tier to view all matches, remove result limits, and access full export capabilities.
• Use the identified intent signals to time outreach for maximum engagement, targeting companies in active build phases.