SignalReach AI

B2B sales is broken. Mass emails get a 0.1% reply rate, while manual research takes 45+ minutes per prospect. SignalReach AI solves this by automating the research and outreach workflow. It is an Intent-Based GTM Intelligence Engine that scrapes live web signals—like LinkedIn job openings, Reddit technical complaints, and recent funding news—in real-time. It then feeds this unstructured data into Gemini AI to analyze buying intent and automatically drafts a hyper-personalized B2B sales email addressing those exact pain points in under 10 seconds. We built the app using Next.js 16 and Tailwind CSS. For data ingestion, we integrated the Bright Data SERP API to bypass captchas. Our AI engine is powered by Google Gemini 2.5 Flash, utilizing strict JSON schemas to ensure reliable output. We hosted it on Vercel, using Supabase (PostgreSQL) for database management. Our biggest challenge was serverless timeouts. Scraping and AI generation took 10-12 seconds, breaking Vercel's standard 10-second limit. We overcame this by migrating our core API routes to Vercel Edge Runtime. We are incredibly proud to have built a resilient, end-to-end pipeline that magically turns a raw Reddit complaint into a polished sales pitch. Next, we plan to build a Chrome extension for LinkedIn integration and CSV bulk-processing features.