Mashable

company on 14 shows · 9 statements across 2 episodes · said 42 times in 28 episodes since 2010

Top Founders 11 Big Technology 5 A Product Market Fit Show 4 the MAD Podcast 4 Startup Acquisition Stories 3 the Green Blueprint 3 the a16z Podcast 3 Mixergy 2 How I Built This 2 Founder's Journal 1 We Live to Build 1 the Knowledge Project 1 My First Million 1 20VC 1

Mentions by year, every show

tap a year for its mentions
00551010201020122014201620182020202220242026episodesmentions
0510201020122014201620182020202220242026episodes it came up in
0025410201020122014201620182020202220242026episodesmentions per episode

Top Founders 11Big Technology 5the MAD Podcast 4A Product Market Fit Show 4the a16z Podcast 3the Green Blueprint 3Startup Acquisition Stories 3Mixergy 26 more shows

2026 1 mention in 1 episode
2025 6 mentions in 5 episodes 1 per episode
2024 4 mentions in 1 episode
2023 4 mentions in 2 episodes 2 per episode
2022 3 mentions in 2 episodes 2 per episode
2021 4 mentions in 2 episodes 2 per episode
2019 3 mentions in 2 episodes 2 per episode
2017 2 mentions in 2 episodes 1 per episode
2016 9 mentions in 9 episodes 1 per episode
2015 4 mentions in 1 episode
2010 2 mentions in 1 episode

every mention on every show, scene by scene, with the transcript →

9 statements about Mashable, every show

HOW I BUILT THIS Assertion Not checkable as stated
Mashable coverage accelerated Goodreads' signup rate tenfold to 100 daily users
“Mashable wrote, wrote a story saying that we had just launched, and our growth went from 10 users a day to a hundred users a day.”
Otis Chandler Feb 7, 2022 ▶ 36:48 Goodreads: Otis and Elizabeth Chandler
MAD Assertion Not checkable as stated
Mashable crawls about a million pieces of content daily
“So we crawl a, on the order of about a million pieces of content daily.”
Haile Wusu Nov 23, 2015 ▶ 12:25 Forecasting Content with Mashable's Chief Data Scientist
MAD Disclosure
Mashable models graph growth across tens of thousands of URLs daily
“And then do this replicated over tens of thousands of URLs daily so that we can get an aggregation of which are the better performers.”
Haile Wusu Nov 23, 2015 ▶ 14:00 Forecasting Content with Mashable's Chief Data Scientist
MAD Assertion Not checkable as stated
Mashable's Velocity engine reaches 75% content prediction accuracy within five minutes
“We are able over within about five minutes to get about 75% accurate with Our predictions for overall sharing behavior with increasing accuracy over time.”
Haile Owusu Nov 23, 2015 ▶ 16:58 Forecasting Content with Mashable's Chief Data Scientist
MAD Assertion Not checkable as stated
Mashable content predictions compare favorably to Facebook despite lacking granular graph data
“And these results actually compare favorably with the results found by folks at Facebook, for example, who actually have all of the granular information that we don't have about the actual graph structure on which these cascades happen.”
Haile Owusu Nov 23, 2015 ▶ 17:10 Forecasting Content with Mashable's Chief Data Scientist
MAD Disclosure
Mashable plans to expand content modeling using Knowledge Graph data
“We are looking to expand our ability to model this complicated problem out using information from something we call Knowledge Graph, where we collect very, very granular information about sharing behavior on just our content.”
Haile Wusu Nov 23, 2015 ▶ 17:27 Forecasting Content with Mashable's Chief Data Scientist
MAD Disclosure
Owusu says Mashable built its Velocity predictive engine completely in-house
“The entire structure of this Of this app Velocity was built in-house. I mean, really we built it from the ground up. I had the great pleasure of working with exceedingly talented people in, in particular, our chief chief architect built this from the ground up…”
Haile Owusu Nov 23, 2015 ▶ 18:43 Forecasting Content with Mashable's Chief Data Scientist
MAD Disclosure
Owusu: Mashable licensed Velocity out and built models without pre-existing frameworks
“Because we obviously have an interest in, and have actually licensed this license velocity out, we haven't used any pre-existing models for predictions.”
Haile Owusu Nov 23, 2015 ▶ 19:17 Forecasting Content with Mashable's Chief Data Scientist
MAD Assertion Not checkable as stated
Velocity prediction engine sources the overwhelming majority of Mashable's top content
“And we actually find that the top end of our content, those stories that are viewed very widely and shared very, very widely, the overwhelming majority of those are sourced from Velocity by our editorial staff.”
Haile Owusu Nov 23, 2015 ▶ 22:52 Forecasting Content with Mashable's Chief Data Scientist

← every entity, every show

Made with StarZero

Turn any episode into a week of clips.

This entire site, thousands of episodes across every show transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.