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Leads otter
Web development
Big data and analytics
Industry:
Job hiring
Year:
2023-2024
About project
Leads Otter is a B2B lead generation platform that uses real-time hiring data to identify high-intent companies across 60+ countries. The platform automates lead discovery by analyzing job openings, helping sales teams detect new business opportunities before competitors.
Instead of relying on manual searches or outdated databases, Leads Otter continuously tracks global job signals to surface leads that are actively hiring — a strong indicator of growth and purchase intent. By combining hiring analytics with automation and machine learning, the platform allows companies to prioritize leads, expand existing accounts, and scale outbound sales with confidence
Goals and objectives
1
Enable real-time B2B lead generation by analyzing global job postings to identify active hiring signals from potential clients
2
Boost sales productivity by automating lead sourcing, scoring, and enrichment through AI-powered job data insights
3
Increase lead-to-client conversion rates with personalized triggers, timely alerts, and hiring-based lead prioritization
4
Expand market reach by leveraging hiring trends and job analytics from over 60 countries to discover untapped growth areas
5
Ensure scalability and uptime by building a reliable architecture based on Kafka, FastAPI, and PostgreSQL
Solution
To deliver a scalable B2B lead generation platform, we combined real-time data processing with modern backend infrastructure and machine learning. The core challenge was collecting, cleaning, and analyzing job market signals across 60+ countries in real time.
We used Apache Kafka to stream hiring data from APIs, web scrapers, and databases, ensuring low-latency ingestion. Data was stored and indexed in PostgreSQL, enabling fast access for analytics.
Our backend was built with FastAPI, providing a high-performance framework for real-time API communication. ML models were trained to identify high-intent leads based on job activity, giving users timely, accurate predictions.
The frontend, developed using HTML/CSS, was designed for clarity and ease of use. We integrated Swagger for dynamic API documentation and simplified developer onboarding.
To support sales teams, we built an automated alert system using ChatGPT, which delivers smart lead insights, daily digests, and hiring updates—helping reps act fast and focus on high-priority accounts.
The architecture ensures reliability and scale: Kafka handles volume, PostgreSQL protects data integrity, and FastAPI powers real-time analytics
Tools & Technologies
Total time:
3 months
Result
Leads Otter delivered measurable results by fully automating B2B lead discovery through hiring data analytics across 60+ countries. With over 1.5 million job signals processed daily, the platform replaced manual research with AI-driven lead scoring and real-time prioritization.
Sales teams saved time by focusing only on companies with active hiring signals—indicating higher conversion potential. This increased productivity, reduced sales cycles, and expanded the client base in competitive markets.
Thanks to seamless integration with external data sources and ChatGPT-powered alerts, users receive instant insights and daily updates on promising leads. With ML algorithms and a scalable infrastructure, Leads Otter ensures that every hiring trend becomes a sales opportunity