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Oct 21, 2015 · 23m · mad

Ramana Rao, Livefyre // Real-Time Social Engagement (Hosted by FirstMark Capital)

Ramana Rao · 19m spoken Matt Turck · 25s spoken
0:00 / 0:00
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

At a DataDrivenNYC event, Livefyre's Ramana Rao delivers a detailed presentation on real-time social engagement platforms, detailing atomic user frameworks, enterprise case studies, backend cloud architecture, and real-time moderation systems.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Matt holds 2% of the talking time here. How this is scored →

Matt as informed peer 0.4 Guest teaching 0.4 Guest disagreement 0.0 Matt pushing back 0.1
05100:0010:0020:000:00–2:25 · Matt as informed peer 0/10 Title Sequence and Event Branding This segment is a presentation monologue where the guest introduces himself, sets up a lighthearted word puzzle, and outlines Livefyre's core platform concepts. The host does not speak or participate during this introductory segment.2:25–5:40 · Matt as informed peer 0/10 Building Blocks of Real-Time Engagement The guest details the individual UI building blocks of real-time engagement such as comments, polls, and social walls. The host is not active in this monologue presentation section.5:40–8:51 · Matt as informed peer 0/10 Case Studies: Publisher & Community Integrations The guest walks through client case studies including Sony PlayStation 4, Disney, Sears, and Fox News breaking coverage. The segment is entirely monologue presentation without host participation.8:51–11:22 · Matt as informed peer 0/10 Engagement Analytics & Content Behavior Tracking The guest presents analytics frameworks and editorial content workflows for tracking user behavior. The host remains silent throughout this section of the presentation.11:22–14:10 · Matt as informed peer 0/10 Livefyre Technology Platform & Architectural Scale The guest explains Livefyre's infrastructure, highlighting scale, AWS setup, database choices, and team size. There is no host involvement in this technical monologue.14:10–17:10 · Matt as informed peer 0/10 Infrastructure Metrics & Real-Time Traffic Performance The guest concludes the slides with Graphite metrics showing traffic spikes during political debates and reveals the opening word puzzle answer. The host is not active until the wrap-up.17:10–23:41 · Matt as informed peer 3/10 Presentation Conclusion & Word Puzzle Reveal Host Matt Turck initiates Q&A by asking specifically about Spark and real-time architectural lessons before opening the floor to audience questions. The interaction is entirely constructive, collaborative, and friendly.0:00–2:25 · Guest teaching 0/10 Title Sequence and Event Branding This segment is a presentation monologue where the guest introduces himself, sets up a lighthearted word puzzle, and outlines Livefyre's core platform concepts. The host does not speak or participate during this introductory segment.2:25–5:40 · Guest teaching 0/10 Building Blocks of Real-Time Engagement The guest details the individual UI building blocks of real-time engagement such as comments, polls, and social walls. The host is not active in this monologue presentation section.5:40–8:51 · Guest teaching 0/10 Case Studies: Publisher & Community Integrations The guest walks through client case studies including Sony PlayStation 4, Disney, Sears, and Fox News breaking coverage. The segment is entirely monologue presentation without host participation.8:51–11:22 · Guest teaching 0/10 Engagement Analytics & Content Behavior Tracking The guest presents analytics frameworks and editorial content workflows for tracking user behavior. The host remains silent throughout this section of the presentation.11:22–14:10 · Guest teaching 0/10 Livefyre Technology Platform & Architectural Scale The guest explains Livefyre's infrastructure, highlighting scale, AWS setup, database choices, and team size. There is no host involvement in this technical monologue.14:10–17:10 · Guest teaching 0/10 Infrastructure Metrics & Real-Time Traffic Performance The guest concludes the slides with Graphite metrics showing traffic spikes during political debates and reveals the opening word puzzle answer. The host is not active until the wrap-up.17:10–23:41 · Guest teaching 3/10 Presentation Conclusion & Word Puzzle Reveal Host Matt Turck initiates Q&A by asking specifically about Spark and real-time architectural lessons before opening the floor to audience questions. The interaction is entirely constructive, collaborative, and friendly.0:00–2:25 · Guest disagreement 0/10 Title Sequence and Event Branding This segment is a presentation monologue where the guest introduces himself, sets up a lighthearted word puzzle, and outlines Livefyre's core platform concepts. The host does not speak or participate during this introductory segment.2:25–5:40 · Guest disagreement 0/10 Building Blocks of Real-Time Engagement The guest details the individual UI building blocks of real-time engagement such as comments, polls, and social walls. The host is not active in this monologue presentation section.5:40–8:51 · Guest disagreement 0/10 Case Studies: Publisher & Community Integrations The guest walks through client case studies including Sony PlayStation 4, Disney, Sears, and Fox News breaking coverage. The segment is entirely monologue presentation without host participation.8:51–11:22 · Guest disagreement 0/10 Engagement Analytics & Content Behavior Tracking The guest presents analytics frameworks and editorial content workflows for tracking user behavior. The host remains silent throughout this section of the presentation.11:22–14:10 · Guest disagreement 0/10 Livefyre Technology Platform & Architectural Scale The guest explains Livefyre's infrastructure, highlighting scale, AWS setup, database choices, and team size. There is no host involvement in this technical monologue.14:10–17:10 · Guest disagreement 0/10 Infrastructure Metrics & Real-Time Traffic Performance The guest concludes the slides with Graphite metrics showing traffic spikes during political debates and reveals the opening word puzzle answer. The host is not active until the wrap-up.17:10–23:41 · Guest disagreement 0/10 Presentation Conclusion & Word Puzzle Reveal Host Matt Turck initiates Q&A by asking specifically about Spark and real-time architectural lessons before opening the floor to audience questions. The interaction is entirely constructive, collaborative, and friendly.0:00–2:25 · Matt pushing back 0/10 Title Sequence and Event Branding This segment is a presentation monologue where the guest introduces himself, sets up a lighthearted word puzzle, and outlines Livefyre's core platform concepts. The host does not speak or participate during this introductory segment.2:25–5:40 · Matt pushing back 0/10 Building Blocks of Real-Time Engagement The guest details the individual UI building blocks of real-time engagement such as comments, polls, and social walls. The host is not active in this monologue presentation section.5:40–8:51 · Matt pushing back 0/10 Case Studies: Publisher & Community Integrations The guest walks through client case studies including Sony PlayStation 4, Disney, Sears, and Fox News breaking coverage. The segment is entirely monologue presentation without host participation.8:51–11:22 · Matt pushing back 0/10 Engagement Analytics & Content Behavior Tracking The guest presents analytics frameworks and editorial content workflows for tracking user behavior. The host remains silent throughout this section of the presentation.11:22–14:10 · Matt pushing back 0/10 Livefyre Technology Platform & Architectural Scale The guest explains Livefyre's infrastructure, highlighting scale, AWS setup, database choices, and team size. There is no host involvement in this technical monologue.14:10–17:10 · Matt pushing back 0/10 Infrastructure Metrics & Real-Time Traffic Performance The guest concludes the slides with Graphite metrics showing traffic spikes during political debates and reveals the opening word puzzle answer. The host is not active until the wrap-up.17:10–23:41 · Matt pushing back 1/10 Presentation Conclusion & Word Puzzle Reveal Host Matt Turck initiates Q&A by asking specifically about Spark and real-time architectural lessons before opening the floor to audience questions. The interaction is entirely constructive, collaborative, and friendly.

speaking balance: gold is Matt, purple is the guest (3 minute bins)

0:00 · Matt 0% · guest 100%0:00 · Matt 0% · guest 100%3:00 · Matt 0% · guest 100%3:00 · Matt 0% · guest 100%6:00 · Matt 0% · guest 100%6:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%9:00 · Matt 0% · guest 100%12:00 · Matt 0% · guest 100%12:00 · Matt 0% · guest 100%15:00 · Matt 11.9% · guest 88.1%15:00 · Matt 11.9% · guest 88.1%18:00 · Matt 2.5% · guest 97.5%18:00 · Matt 2.5% · guest 97.5%21:00 · Matt 1.7% · guest 98.3%21:00 · Matt 1.7% · guest 98.3%
Sharpest disagreement ▶ 16:45 Playful puzzle reveal teasing the audience

The presentation is completely non-combative, so the highest friction is merely the guest jokingly poking fun at the audience's guess for his opening four-letter word puzzle.

 Hardest push from Matt ▶ 17:39 Host probes real-time stack performance and Spark integration

Host Matt Turck prompts the guest on architectural lessons learned and specifically asks whether Apache Spark is central to their real-time stack.

 Biggest teaching moment ▶ 22:34 Guest explains finite state technology vs statistical NLP

The guest educates an audience member on why exact rule-based finite state technology outperforms statistical models for precise profanity and insult filtering.

 Matt holds his own ▶ 17:39 Host demonstrates familiarity with modern data processing technologies

Host Matt Turck references Apache Spark to kick off the technical Q&A, demonstrating informed awareness of real-time data engineering frameworks.
the scores for every segment, with the reasoning behind each
ChapterTopicMatt as informed peerGuest teachingGuest disagreementMatt pushing backWhy
Title Sequence and Event Branding 0000 This segment is a presentation monologue where the guest introduces himself, sets up a lighthearted word puzzle, and outlines Livefyre's core platform concepts. The host does not speak or participate during this introductory segment.
Building Blocks of Real-Time Engagement 0000 The guest details the individual UI building blocks of real-time engagement such as comments, polls, and social walls. The host is not active in this monologue presentation section.
Case Studies: Publisher & Community Integrations 0000 The guest walks through client case studies including Sony PlayStation 4, Disney, Sears, and Fox News breaking coverage. The segment is entirely monologue presentation without host participation.
Engagement Analytics & Content Behavior Tracking 0000 The guest presents analytics frameworks and editorial content workflows for tracking user behavior. The host remains silent throughout this section of the presentation.
Livefyre Technology Platform & Architectural Scale 0000 The guest explains Livefyre's infrastructure, highlighting scale, AWS setup, database choices, and team size. There is no host involvement in this technical monologue.
Infrastructure Metrics & Real-Time Traffic Performance 0000 The guest concludes the slides with Graphite metrics showing traffic spikes during political debates and reveals the opening word puzzle answer. The host is not active until the wrap-up.
Presentation Conclusion & Word Puzzle Reveal 3301 Host Matt Turck initiates Q&A by asking specifically about Spark and real-time architectural lessons before opening the floor to audience questions. The interaction is entirely constructive, collaborative, and friendly.

Statements from this episode (12)

Assertion Not checkable as stated
Re/code conference generated 27,000 tweets and 4,000 content pieces via Livefyre
“So you end up with 27, 7000 tweets in this case, or 4000 pieces of content that are displayed in the show itself.”
Ramana Rao Oct 21, 2015 ▶ 4:38
Assertion Not checkable as stated
PlayStation 4 launch generated four million pieces of content on Livefyre
“Four million pieces of content during the launch of PlayStation four.”
Ramana Rao Oct 21, 2015 ▶ 5:36
Assertion Not checkable as stated
Disney saw repeat visits increase fivefold after integrating Livefyre social elements
“People returned to this site five times as much after they started adding the social elements to the site.”
Ramana Rao Oct 21, 2015 ▶ 5:40
Assertion Not checkable as stated
Sears tripled its Craftsman Club membership by adding user project showcases
“After they added this showcase your work element so that users could submit what their favorite projects were, whether they were in metal, whether they were in wood, or whatever else, I guess, plastic, or DYIers could kind of get excited and show off here, and…”
Ramana Rao Oct 21, 2015 ▶ 5:56
Assertion Not checkable as stated
Fox's breaking news coverage topped 200,000 concurrent interactive users via Livefyre
“Here you can see just barely there are a hundred, 128 thousand people live on this, Page at the same time. It actually crested up over 200,000.”
Ramana Rao Oct 21, 2015 ▶ 6:52
Assertion Not checkable as stated
Livefyre reaches 350 million unique visitors and 3 billion page views
“So we have three hundred fifty million global uniques three billion page views a large number of customers, a hundred million, ah, pieces of social content, and that goes through spam and abuse kind of classifiers of all kinds.”
Ramana Rao Oct 21, 2015 ▶ 11:42
Assertion Not checkable as stated
Livefyre operates its entire platform with only 25 engineers including DevOps
“We, by the way, only have, ah, 25 engineers, and that includes DevOps.”
Ramana Rao Oct 21, 2015 ▶ 13:34
Assertion Not checkable as stated
Livefyre regularly hits one million concurrent live users across its network
“Across all the pages we're serving right now, you can kind of see, we'll regularly hit a million people live at once.”
Ramana Rao Oct 21, 2015 ▶ 14:39
Assertion Not checkable as stated
Livefyre processes four million requests per minute across its live widgets
“We can see four million requests a minute. So that's like that's about like 66 thousand requests per second.”
Ramana Rao Oct 21, 2015 ▶ 15:24
Assertion Not checkable as stated
Livefyre processed 12 million requests per minute during 2015 CNN debate
“We have hit three times that number, ah, during, actually during the CNN debate this year.”
Ramana Rao Oct 21, 2015 ▶ 15:45
Prediction Not checkable as stated
Rao predicts Livefyre will process over 80 billion events per month
“We're going to generate eighty billion plus Events a month.”
Ramana Rao Oct 21, 2015 ▶ 18:28
Disclosure
Livefyre uses the Caffe deep learning framework for NSFW image filtering
“For the nudity filter we're using some of the image network and using CAFE.”
Ramana Rao Oct 21, 2015 ▶ 21:13
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