DealSpark AI

With DealSpark AI, we're not just automating outreach- we're personalizing it at scale. Our platform turns any solo founder into a 24/7 lead closer powered by AI.

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Inspiration## Inspiration

Sales is broken for small businesses, solo creators, and consultants. Cold outreach feels robotic, lead forms are outdated, and scaling human interaction is expensive. I asked: What if you could deploy a personalized AI sales rep in seconds — one that speaks in your voice, qualifies leads across channels, and follows up automatically?

Inspired by founders struggling to convert cold leads and overwhelmed by DMs, I built DealSpark AI to turn static outreach into scalable, smart conversations — powered by AI, not just automation.

What it does

DealSpark AI is a multi-channel AI sales assistant that:

  • Chats with potential leads via a smart AI chatbot
  • Qualifies them with intelligent questions
  • Generates a personalized voice pitch using TTS (e.g. Google or ElevenLabs)
  • Optionally shows a personalized video from the business owner (via YouTube)
  • Offers smart CTAs: Book a call, Join a newsletter, Ask a question, or Pay now
  • Automatically follows up via email with video content and call-to-actions
  • Lets business owners generate custom DealSpark links to share across socials
  • Provides a real-time preview of what leads see when they click

How we built it

I built the project using:

  • 🔧 Bolt.new as the primary dev platform
  • 🧠 Groq + Llama 3 for real-time sales pitch and chatbot intelligence
  • 🔊 Google Cloud Text-to-Speech for generating personalized voice messages
  • 🔐 Supabase for authentication and real-time database

The architecture is modular — one AI pipeline for business onboarding, and another for lead experience, connected via unique shareable links.

Challenges I ran into

  • Integrating multiple AI APIs with real-time responsiveness
  • Dynamically generating pitches based on live chatbot conversations
  • Building both business-side and lead-side experiences within a tight hackathon window
  • Managing secure link generation, preview environments, and API key safety

Accomplishments that I am proud of

  • End-to-end working MVP in <72 hours
  • Real-time AI voice pitch generation after a lead finishes chatting
  • Auto-generated custom links and lead-facing pages
  • Multi-channel follow-up setup with real email capabilities
  • Seamless onboarding flow that turns cold clicks into warm leads

What I learned

  • Building AI-driven sales tools requires careful UX orchestration
  • AI powered Chatbot data for personalized pitch for leads make a massive difference in engagement
  • Automation isn’t enough — intelligence and adaptability are key to conversion
  • Having a smooth fallback (demo mode, mock accounts) is crucial for showcasing the product early

What's next for DealSpark AI

  • Full Tavus integration with voice + video cloning for founders to create personalized follow up emails for leads based on the data they provided in the lead page.
  • CRM syncing (e.g., HubSpot, Pipedrive) to manage lead data
  • Social media integrations (Instagram DM automation, TikTok link-in-bio)
  • Smart segmentation: customize pitches by business type or niche
  • More AI features: lead scoring, competitor-aware pitches, multi-language support
  • Launching a beta with real businesses post-hackathon

DealSpark AI is more than a hackathon project — it's a fully scalable product already showing early demand. I am excited to take this to the next level.

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