How does the platform avoid Reddit API rate limits?

Centralized 'fetch once, match many' architecture reduces requests by 90%. Dual RSS/JSON fallback operates independently of Reddit's API, ensuring 99.8% uptime.

How accurate is the AI lead scoring?

94% accuracy using GPT-4o, weighing semantic intent (40%), engagement velocity (30%), recency (20%), and author history (10%) for a 0-100 priority score.

Can I target specific subreddits and customize keyword matching?

Yes — custom watchlists with boolean keyword rules (AND/OR/NOT) and negative keywords for noise filtering across any subreddit.

What does the Telegram notification include?

Post title, AI score, matched keywords, direct Reddit link, and a GPT-4 generated contextual reply draft for immediate engagement.

How does the multi-tenant architecture keep costs low?

Centralized scraping means 1,000 users on the same subreddit cost zero additional API calls. Single-pass cron pipeline runs under $200/month for thousands of tenants.

SaaS dashboard showing real-time Reddit lead alerts with AI relevance scores, keyword matches, and Telegram notification feed

All Case Studies

B2B SaaS & Lead GenerationFull-Stack DevelopmentAI & Machine LearningSaaS Architecture

Reddit Lead Capture: Automating High-Intent Sales Discovery with Agentic AI Scrapers

Built a multi-tenant SaaS monitoring 1,000+ subreddits hourly with 94% lead scoring accuracy — reducing API calls by 90% through centralized architecture.

90%API Call Reduction

< 1hrLead Delivery Speed

94%Lead Scoring Accuracy

99.8%Scraping Uptime

THWORKS built Reddit Lead Capture — a multi-tenant SaaS platform that automates high-intent lead discovery on Reddit. Using a dual-layer scraping strategy (RSS + JSON fallback) with centralized caching, the system monitors 1,000+ subreddits hourly without expensive API credentials. GPT-4 scores each lead on a 0-100 relevance scale based on buying intent, urgency, and engagement velocity, then delivers instant contextual alerts with AI-drafted reply suggestions via Telegram. Architecture achieves 90% API call reduction through 'fetch once, match many' design.

The Challenge: 10+ Hours Weekly Wasted on Manual Reddit Prospecting

Sales teams and agencies spent 10+ hours weekly manually scrolling subreddits for prospects — using browser search to find keywords, copying posts into spreadsheets, and losing track of which threads they'd already checked. Reddit's restrictive API rate limits made existing tools expensive and unreliable, while the high noise-to-signal ratio meant 80% of flagged posts were irrelevant casual mentions, not genuine buying signals.

In 2026 B2B sales, being the first responder to a Reddit query is the single biggest conversion predictor — but manual monitoring doesn't scale. The goal was a multi-tenant SaaS serving thousands of concurrent users while keeping infrastructure costs under $200/month through architectural efficiency, not hardware scaling.

Our Solution: Centralized Discovery Architecture with AI Lead Scoring

We designed a 'Centralized Discovery' architecture. Instead of scraping per user, the system fetches each subreddit once per cycle and matches the payload against a global keyword manifest across all tenant configurations. This means 1,000 users monitoring 'r/SaaS' generate a single scraping pass — reducing API footprint by 90% compared to per-user architectures.

For 100% reliability independent of Reddit's API pricing changes, we implemented dual-failover scraping: RSS feeds as primary data source with Reddit JSON endpoints as fallback. This 'API-less' approach ensures the platform remains operational regardless of Reddit's monetization decisions. GPT-4 then scores each matched post using a weighted model combining semantic intent analysis, post growth rate, and comment velocity.

Key Technical Decisions

AI Engagement Intelligence: GPT-4 calculates 'Weighted Priority Scores' (0-100) analyzing buying intent keywords, question urgency patterns, post growth rate, and comment velocity — filtering out 80% of noise that manual monitoring misses.

Multi-Gateway Payment Routing: Intelligent billing layer toggling between Stripe (Global) and Razorpay (APAC) based on user IP geolocation to optimize checkout conversion rates across markets.

Single-Pass Cron Pipeline: Unified hourly worker handling scraping, keyword matching, lead scoring, and Telegram broadcasting in one cycle — eliminating the need for separate microservices and reducing infrastructure costs 75%.

Results: From Manual Scrolling to Automated AI-Scored Alerts

75%

Infrastructure Savings

2min

User Onboarding

5K+

Daily Leads Captured

Before

Manual Ctrl+F scrolling through Reddit. 24-hour lead discovery delay. High risk of API rate limit bans. No scoring or prioritization. Duplicate searches across team members.

After

Instant Telegram alerts with AI relevance scores and deep links. GPT-4 generated reply drafts. 90% fewer API calls via centralized caching. 2-minute user onboarding. 5,000+ leads captured daily across all tenants.

Technology Stack

Next.js 16 / React 19Server Actions and streaming capabilities powering a real-time dashboard with instant scraping status updates and lead feed.

Supabase (PostgreSQL)Multi-tenant relational database with row-level security for complex keyword matching, session isolation, and lead storage across thousands of users.

OpenAI GPT-4oPowers the lead scoring engine — analyzing post content for buying intent, urgency, and technical fit to assign 0-100 priority scores.

Stripe & RazorpayDual payment gateway with geo-intelligent routing maximizing checkout conversion across global and APAC markets.

Telegram Bot APIReal-time lead notification delivery with inline action buttons for immediate prospect engagement.

"This platform transformed our outbound strategy. We went from finding 2 leads a week to getting 5-10 high-intent alerts every single day on Telegram. The AI scoring is so accurate we only look at leads with an 80+ score — our reply rate tripled."

Sarah ThompsonFounder, Thompson Growth Agency

Frequently Asked Questions

Common questions about this project and our approach.

We use a 'fetch once, match many' centralized architecture. Each subreddit is scraped once per cycle and matched against all user keywords globally — reducing outgoing requests by 90%. The dual RSS/JSON fallback strategy operates independently of Reddit's official API, ensuring 99.8% uptime regardless of API policy changes.