Sniper

Sniper Powered Qualified Lead Generation Through AI-Driven Discovery

Quokka Labs built Sniper, an AI-powered lead generation pipeline to streamline prospect intelligence, improve lead relevance, and accelerate targeted prospect acquisition.

Sniper AI lead generation dashboard on laptop
Project Overview

A Prompt-Based Lead Generation Tool for B2B Outreach Teams

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.

Resolving Lead Generation Challenges with AI-Driven Prospect Discovery

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.

Problem & Solutions
Problem

Complex Prospect Search Setup

Complex scraping requirements hinder efficient prospect research and sales productivity.

Solution

Natural-Language Prompt Processing

Natural-language prompts define target personas without coding expertise.

Problem

Limited Context in Lead Targeting

Broad searches overlook prospect context, reducing lead relevance.

Solution

LLM-Based Intent Analysis

LLMs identify prospect intent, roles, industries, domains, and locations.

Problem

Time-Consuming Prospect Research

Manual website searches consume hours and risk outdated contact information.

Solution

Smart Query and Web Scraping

Automated queries and web scraping retrieve prospect data from online sources.

Problem

Inconsistent Lead Data Formats

Inconsistent web data requires manual normalization before CRM integration and outreach.

Solution

Structured Lead Data Processing

Normalizes lead attributes into CSV and JSON formats for CRM integration.

Our Engineering Approach

How Quokka Labs Engineered an Automated Pipeline for High-Volume Prospect Discovery

1

Strategic Assessment

We assessed prospecting workflows, identified research bottlenecks, and mapped targeting requirements to define scope and delivery milestones.

2

Prompt & Intent Engineering

Our AI engineers developed prompt workflows to extract job roles, industries, contact types, and geographic criteria from natural-language requests.

3

Intelligent Query Generation

We engineered query-generation workflows that convert targeting criteria into focused search patterns for relevant company and contact discovery.

4

Automated Web Extraction

Our engineers integrated browser automation, HTTP requests, and HTML parsing to retrieve prospect details from accessible online sources.

5

Backend & Data Structuring

We built Python and FastAPI workflows to normalize prospect attributes and generate structured CSV and JSON outputs for CRM integration.

6

Deployment & Enablement

Our team deployed the prospecting pipeline, configured data handoffs, and guided users through prompt design, lead review, and data export.

Measurable Business Impact Of AI-Powered Lead Generation

70% Faster Lead Acquisition
90% Higher Lead Relevance
10x Faster Lead Generation
40% Improved Sales Efficiency
Core Engineering Capabilities

The AI and Data Engineering Capabilities Quokka Labs Built into Sniper

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.

Natural-Language Prospect Targeting

A prompt-based interface enables sales professionals to define target accounts and decision-maker profiles without custom scraping scripts or complex query configuration.

AI Intent Analysis & Entity Recognition

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.

Multi-Model AI Processing

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.

Multi-Platform Lead Data Sources

Connects prospect discovery across LinkedIn, Indeed, Crunchbase, business directories, technology platforms, and communities like Reddit, X, and GitHub to support lead qualification.

Intelligent Search Query Generation

Optimized search strings and advanced search operators support targeted discovery across online directories and company websites, extending coverage beyond broad keyword searches.

Professional Contact Discovery

Extracted business emails, phone numbers, professional profile URLs, job titles, and domain details provide sales teams with structured information for prospect evaluation.

Structured Lead Data Processing

Data normalization organizes extracted attributes into CSV and JSON outputs, supporting consistent record handling and integration with compatible CRM and outreach systems.

Scalable Batch Prospecting

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.

Ready to Turn Your Strategic AI Vision into Market-Ready Products?

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.

India

UG Floor, Tower-4, Assotech Business Cresterra, Plot No.22, Sector-135, Noida, Uttar Pradesh, 201305

USA

111 Congress Avenue Suite 500, Austin, Texas - 78701

Netherlands

Jasmijnlaan 88, 1187 EL Amstelveen, Netherlands