Building LeadSynth AI: Finding Leads in Real-Time Conversations
I’ve been building LeadSynth AI, a tool that finds real-time online conversations where people are already discussing the exact problems your product solves — so you don’t waste time chasing cold leads.
What it does:
Scans platforms like Reddit, X (Twitter), and Telegram for problem statements.
Alerts you instantly when a potential lead is active.
Integrates with CRMs like HubSpot & Pipedrive (coming soon).
Why I built it:
Traditional lead-gen tools give you lists of companies or emails. But the reality is, people buy when they have a problem — not when you email them blindly. LeadSynth AI goes straight to conversations that matter.
Traction so far:
110 trial users
Feedback: people love how it saves hours of research.
Looking to improve integrations and onboarding for a smoother experience.
Next steps:
Build more automation & AI-powered prioritization.
Expand platform coverage.
Optimize subscription conversion (currently struggling post-trial).
If you’re curious, you can check it out here: https://leadsynthai.vercel.app
Hey Abdelrahman, I’ve seen a few tools like Devi AI and Clay that do real-time lead detection. I’m curious—what makes LeadSynth AI different or unique compared to these existing solutions?
The key differences with LeadSynth AI are:
1️⃣ Real-time vs. static — many tools refresh databases or scrape profiles, but we surface live conversations happening now where people are literally describing their pain points.
2️⃣ Context-first approach — instead of handing you an email, we show you the full conversation so you can engage authentically, not cold pitch.
3️⃣ AI outbound agents — beyond detection, our roadmap includes AI agents that can draft replies, DMs, and even update your CRM (HubSpot/Pipedrive) instantly.
Most competitors optimize for contact quantity. We’re obsessed with conversion-ready context.
Still early days, but founders using LeadSynth are telling us it feels like “finally knowing where to show up, instead of guessing.”
That makes sense —....the context-first approach sounds way more natural than cold scraping......which platform is giving you the strongest signal so far — Reddit, X, or Telegram?
Reddit by far
Gr88...all the best :)
Really like what you’re building here. The shift from static lead lists to real-time context feels like the same evolution I saw when building ScrumBuddy. In my case, the pain point was orchestration. Founders and devs drowning in chaos from idea → backlog → UI → backend → GitHub PR. Once I realized the real bottleneck wasn’t knowledge but timing and context flow, everything clicked.
LeadSynth feels like that same insight applied to growth: it’s not about finding everyone, it’s about showing up at the exact moment when someone actually feels the problem you solve. That’s a far stronger starting point than another scraped email list.
Have you experimented yet with layering prioritization on top of the alerts? In ScrumBuddy I found that sequencing mattered as much as discovery. I imagine with leads it might be the same, the difference between noise and a usable signal could come down to context rank.