Tara Intelligence

14 statements across 1 episodes · 2 bullish · 0 bearish · 1 people on the record · first statement Sep 23, 2018 by Iba Masood · said 4 times in 1 episodes since 2018 · across every show →

Mentions by year

brought up most by Nathan Latka (2), Iba Masood (2)

tap a year for its mentions
0021412018episodesmentions
0112018episodes it came up in
0020.5412018episodesmentions per episode

every mention, scene by scene, with the transcript →

Everything said about Tara Intelligence, oldest first

Sep 23, 2018 neutral
Assertion Not checkable as stated
Masood: Tara charges enterprise clients $120k annually plus marketplace fees
“So we're looking at about a 120 K annual. And then on top of that, there's also marketplace charges.”
Iba Masood Sep 23, 2018 ▶ 5:52 1156 YC Alum Burning $110k/mo in Cash To Scope Projects and Place Dev Talent Using Machine Learning
Sep 23, 2018
Disclosure
Masood: Tara Intelligence burns around $110,000 per month
“So well, our burn as of today is at about a 110 K.”
Iba Masood Sep 23, 2018 ▶ 23:07 1156 YC Alum Burning $110k/mo in Cash To Scope Projects and Place Dev Talent Using Machine Learning
Sep 23, 2018
Disclosure
Masood: Tara shifted contract pricing from $40K-$50K to $120K
“So we started pitching our 120 K annual contract model last month. before that, a lot of our customers were on 40 K to 50 K.”
Iba Masood Sep 23, 2018 ▶ 12:51 1156 YC Alum Burning $110k/mo in Cash To Scope Projects and Place Dev Talent Using Machine Learning
Sep 23, 2018 bullish
Prediction Not checkable as stated
Masood: Tara will grow from $80K to $140K MRR within two months
“And so from, but we're actually going to go from 80 K to about a 140 K in the next two months because of the enterprise deals that we're almost about to close.”
Iba Masood Sep 23, 2018 ▶ 15:54 1156 YC Alum Burning $110k/mo in Cash To Scope Projects and Place Dev Talent Using Machine Learning
Sep 23, 2018 neutral
Insight
Masood: Companies accept AI hiring for freelance roles, not full-time
“Plus we found that companies were more willing to allow AI to make the recruiting decision when it was primarily for freelance positions. So even with full time, they were still not willing to like Allow an algorithm to recruit developers specifically that wer…”
Iba Masood Sep 23, 2018 ▶ 7:55 1156 YC Alum Burning $110k/mo in Cash To Scope Projects and Place Dev Talent Using Machine Learning
Sep 23, 2018
Disclosure
Masood: Tara Intelligence has roughly 8% monthly logo churn
“We're at about eight percent churn.”
Iba Masood Sep 23, 2018 ▶ 22:46 1156 YC Alum Burning $110k/mo in Cash To Scope Projects and Place Dev Talent Using Machine Learning
Sep 23, 2018
Assertion Not checkable as stated
Masood: Product managers spend roughly 70% of their time on project scoping
“We had about 10 to 15 contractors early on that were actually, you know, running the scoping process. And we were comparing results between what the AI could do versus what human product managers were mapping out. And what we found was that there was about 70%…”
Iba Masood Sep 23, 2018 ▶ 4:16 1156 YC Alum Burning $110k/mo in Cash To Scope Projects and Place Dev Talent Using Machine Learning
Sep 23, 2018
Disclosure
Masood: Tara Intelligence spends roughly $20k to acquire a $120k customer
“So for example, if one customer closes at about a 120, a 120 K, then we've probably spent roughly about 20,000 dollars to acquire them.”
Iba Masood Sep 23, 2018 ▶ 23:21 1156 YC Alum Burning $110k/mo in Cash To Scope Projects and Place Dev Talent Using Machine Learning
Sep 23, 2018
Assertion Not checkable as stated
Masood: Tara trained early AI models on roughly 5,000 software projects
“So we used roughly about our early data set included about 5000 software projects, and we use that to train our system to understand that, okay, with an iOS app, if the iOS app requires a two sided marketplace, here are the typical milestones, tasks, and this …”
Iba Masood Sep 23, 2018 ▶ 3:43 1156 YC Alum Burning $110k/mo in Cash To Scope Projects and Place Dev Talent Using Machine Learning
Sep 23, 2018 neutral
Assertion Not checkable as stated
Masood: Freelance developers regularly cross-list across Toptal and Tara
“We have TopTile developers on our platform too. It's not like every developer just joins one platform. They usually join multiple.”
Iba Masood Sep 23, 2018 ▶ 19:15 1156 YC Alum Burning $110k/mo in Cash To Scope Projects and Place Dev Talent Using Machine Learning
Sep 23, 2018 neutral
Assertion Not checkable as stated
Masood: Tara generates 60% of revenue from talent placement, 40% from software
“So about 60% of our revenue comes from placing the talent, and about 40% is coming from the software.”
Iba Masood Sep 23, 2018 ▶ 9:49 1156 YC Alum Burning $110k/mo in Cash To Scope Projects and Place Dev Talent Using Machine Learning
Sep 23, 2018 positive
Insight
Masood: Open source projects are among the most efficiently run software projects
“We, as a company, we have this hypothesis that open source projects are one of the most efficiently run projects as a whole, because Typically when people are pursuing side projects, they have a timeline and they need to get things done quickly, but they like …”
Iba Masood Sep 23, 2018 ▶ 4:50 1156 YC Alum Burning $110k/mo in Cash To Scope Projects and Place Dev Talent Using Machine Learning
Sep 23, 2018
Assertion Not checkable as stated
Masood: Tara Intelligence is growing at about 140% year-over-year
“Right now it's about a 140%.”
Iba Masood Sep 23, 2018 ▶ 15:08 1156 YC Alum Burning $110k/mo in Cash To Scope Projects and Place Dev Talent Using Machine Learning
Sep 23, 2018 neutral
Assertion Not checkable as stated
Masood: Tara has about 10 enterprise and 65 total customers
“So enterprises, we have about 10. A total companies, we have about 65.”
Iba Masood Sep 23, 2018 ▶ 8:20 1156 YC Alum Burning $110k/mo in Cash To Scope Projects and Place Dev Talent Using Machine Learning
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 2,600 episodes 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.