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Quokka Labs built Sniper, an AI-powered lead generation pipeline to streamline prospect intelligence, improve lead relevance, and accelerate targeted prospect acquisition.
Sniper is a prompt-based lead generation tool that turns a plain-language description of a target
audience into a structured contact list. It translates natural-language prompts targeting criteria into
structured, CRM-ready contact lists, enabling users to define ideal customer profiles without
scripting.
Quokka Labs connected natural-language targeting, AI intent analysis, automated web extraction, and structured data processing to address gaps in streamlining prospect discovery for sales teams.
Complex scraping requirements hinder efficient prospect research and sales productivity.
Natural-language prompts define target personas without coding expertise.
Broad searches overlook prospect context, reducing lead relevance.
LLMs identify prospect intent, roles, industries, domains, and locations.
Manual website searches consume hours and risk outdated contact information.
Automated queries and web scraping retrieve prospect data from online sources.
Inconsistent web data requires manual normalization before CRM integration and outreach.
Normalizes lead attributes into CSV and JSON formats for CRM integration.
How Quokka Labs Engineered an Automated Pipeline for High-Volume Prospect Discovery
Strategic
Assessment
We assessed prospecting workflows, identified research bottlenecks, and mapped targeting requirements to define scope and delivery milestones.
Prompt & Intent
Engineering
Our AI engineers developed prompt workflows to extract job roles, industries, contact types, and geographic criteria from natural-language requests.
Intelligent Query
Generation
We engineered query-generation workflows that convert targeting criteria into focused search patterns for relevant company and contact discovery.
Automated Web
Extraction
Our engineers integrated browser automation, HTTP requests, and HTML parsing to retrieve prospect details from accessible online sources.
Backend & Data
Structuring
We built Python and FastAPI workflows to normalize prospect attributes and generate structured CSV and JSON outputs for CRM integration.
Deployment &
Enablement
Our team deployed the prospecting pipeline, configured data handoffs, and guided users through prompt design, lead review, and data export.
Quokka Labs engineered Sniper’s AI-driven prospecting capabilities to help sales leaders turn target-market strategies into structured lead pipelines, reducing research friction across complex acquisition workflows.
A prompt-based interface enables sales professionals to define target accounts and decision-maker profiles without custom scraping scripts or complex query configuration.
LLM-based intent analysis identifies job functions, industries, geographies, domains, and contact types, applying concepts from ML and LLM engineering to establish structured targeting criteria for relevant prospect acquisition.
GPT-6, Claude Opus 5.5, Gemini 4 Argon, and Grok 4.7 support contextual prompt interpretation, using principles relevant to LLM integration services to process complex prospecting requirements before search execution and data extraction.
Connects prospect discovery across LinkedIn, Indeed, Crunchbase, business directories, technology platforms, and communities like Reddit, X, and GitHub to support lead qualification.
Optimized search strings and advanced search operators support targeted discovery across online directories and company websites, extending coverage beyond broad keyword searches.
Extracted business emails, phone numbers, professional profile URLs, job titles, and domain details provide sales teams with structured information for prospect evaluation.
Data normalization organizes extracted attributes into CSV and JSON outputs, supporting consistent record handling and integration with compatible CRM and outreach systems.
Batch prompt execution supports parallel targeting requests across industries, regions, and audience segments, applying principles of AI workflow automation to expand prospecting coverage without repetitive search configuration.
Partner with Quokka Labs to engineer AI-powered products that connect intelligent automation, business data, and advanced engineering to turn strategic priorities into market-ready solutions.
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