Search a title or topic

Over 20 million podcasts, powered by 

Player FM logo
Artwork

Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Alexander Jabbour on Building Real-Time Sales AI From 0-to-1 at Rilla

9:25
 
Share
 

Manage episode 510202790 series 3570694
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/alexander-jabbour-on-building-real-time-sales-ai-from-0-to-1-at-rilla.
Rilla’s Engineering Lead Alexander Jabbour shares how he built a real-time AI sales coaching platform, boosting close rates and generating 7+ figures.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #alexander-jabbour, #rilla-ai, #sales-coaching-ai, #real-time-sales-enablement, #0-to-1-product-building, #agentic-ai-for-sales, #sales-performance-platform, #good-company, and more.
This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com.
Alexander Jabbour, Engineering Lead at Rilla, built a real-time AI sales coaching platform that turns reactive feedback into live guidance. Overcoming technical hurdles in audio streaming, low-latency transcription, and AI insights, his team scaled the product to multi-million revenue. Early pilots showed close rates rising from 29% to 34%, validating a user-centric, data-driven 0-to-1 journey.

  continue reading

2005 episodes

Artwork
iconShare
 
Manage episode 510202790 series 3570694
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/alexander-jabbour-on-building-real-time-sales-ai-from-0-to-1-at-rilla.
Rilla’s Engineering Lead Alexander Jabbour shares how he built a real-time AI sales coaching platform, boosting close rates and generating 7+ figures.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #alexander-jabbour, #rilla-ai, #sales-coaching-ai, #real-time-sales-enablement, #0-to-1-product-building, #agentic-ai-for-sales, #sales-performance-platform, #good-company, and more.
This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com.
Alexander Jabbour, Engineering Lead at Rilla, built a real-time AI sales coaching platform that turns reactive feedback into live guidance. Overcoming technical hurdles in audio streaming, low-latency transcription, and AI insights, his team scaled the product to multi-million revenue. Early pilots showed close rates rising from 29% to 34%, validating a user-centric, data-driven 0-to-1 journey.

  continue reading

2005 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play