StarZero All shows Try the podcast clipper →

Mar 7, 2018 · 15m · top-founders

956 How Does He Find Sharp People At $900/mo For BI Tool Doing $75k in MRR?

Mohit Bhakuni · 6m spoken Nathan Latka · 6m spoken
0:00 / 0:00

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this episode of The Top Entrepreneurs Podcast, host Nathan Latka interviews Contify founder Mohit Bhakuni to explore how he bootstrapped an enterprise market intelligence platform to $75,000 in monthly recurring revenue with 95 employees in India. Bhakuni breaks down Contify's hybrid human-AI data curation model, upfront annual billing structure, and hard-earned lessons in achieving product-market fit.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Nathan holds 48.5% of the talking time here. How this is scored →

Nathan as informed peer 4.8 Guest teaching 1.6 Guest disagreement 1.0 Nathan pushing back 3.0
05100:0010:001:41–4:46 · Nathan as informed peer 6/10 Understanding Contify's Market Intelligence Platform and Pricing Nathan quickly runs the numbers on Contify's pricing tiers and customer count, correcting the rough averages to determine an effective ARPU of $1,500/month given the 50 customers and $75k MRR.4:46–7:54 · Nathan as informed peer 5/10 Sales Strategy, Customer Acquisition, and Team Allocation When Mohit admits he does not track customer acquisition cost, Nathan breaks down the company's cost structure by isolating paid spend and categorizing headcounts across sales, engineering, and support.7:56–11:09 · Nathan as informed peer 6/10 Sponsor Segment: Acuity Scheduling Following the sponsor break, Nathan interrogates Contify's 95% annual retention, pushing Mohit to distinguish between logo churn and net revenue churn before calculating lifetime value.11:10–13:36 · Nathan as informed peer 6/10 Year-Over-Year Growth and Finding Product Focus Nathan computes that Contify spends roughly $800/month per employee based on total MRR and team size. Mohit explains their hybrid tech-plus-human curation model leveraging a secondary office in a lower-cost Indian town.13:37–14:50 · Nathan as informed peer 1/10 The Famous Five Rapid-Fire Questions Nathan runs through the Famous Five standard questions, firmly nudging Mohit to pick just one book when he hesitates.1:41–4:46 · Guest teaching 2/10 Understanding Contify's Market Intelligence Platform and Pricing Nathan quickly runs the numbers on Contify's pricing tiers and customer count, correcting the rough averages to determine an effective ARPU of $1,500/month given the 50 customers and $75k MRR.4:46–7:54 · Guest teaching 1/10 Sales Strategy, Customer Acquisition, and Team Allocation When Mohit admits he does not track customer acquisition cost, Nathan breaks down the company's cost structure by isolating paid spend and categorizing headcounts across sales, engineering, and support.7:56–11:09 · Guest teaching 2/10 Sponsor Segment: Acuity Scheduling Following the sponsor break, Nathan interrogates Contify's 95% annual retention, pushing Mohit to distinguish between logo churn and net revenue churn before calculating lifetime value.11:10–13:36 · Guest teaching 3/10 Year-Over-Year Growth and Finding Product Focus Nathan computes that Contify spends roughly $800/month per employee based on total MRR and team size. Mohit explains their hybrid tech-plus-human curation model leveraging a secondary office in a lower-cost Indian town.13:37–14:50 · Guest teaching 0/10 The Famous Five Rapid-Fire Questions Nathan runs through the Famous Five standard questions, firmly nudging Mohit to pick just one book when he hesitates.1:41–4:46 · Guest disagreement 1/10 Understanding Contify's Market Intelligence Platform and Pricing Nathan quickly runs the numbers on Contify's pricing tiers and customer count, correcting the rough averages to determine an effective ARPU of $1,500/month given the 50 customers and $75k MRR.4:46–7:54 · Guest disagreement 1/10 Sales Strategy, Customer Acquisition, and Team Allocation When Mohit admits he does not track customer acquisition cost, Nathan breaks down the company's cost structure by isolating paid spend and categorizing headcounts across sales, engineering, and support.7:56–11:09 · Guest disagreement 1/10 Sponsor Segment: Acuity Scheduling Following the sponsor break, Nathan interrogates Contify's 95% annual retention, pushing Mohit to distinguish between logo churn and net revenue churn before calculating lifetime value.11:10–13:36 · Guest disagreement 1/10 Year-Over-Year Growth and Finding Product Focus Nathan computes that Contify spends roughly $800/month per employee based on total MRR and team size. Mohit explains their hybrid tech-plus-human curation model leveraging a secondary office in a lower-cost Indian town.13:37–14:50 · Guest disagreement 1/10 The Famous Five Rapid-Fire Questions Nathan runs through the Famous Five standard questions, firmly nudging Mohit to pick just one book when he hesitates.1:41–4:46 · Nathan pushing back 3/10 Understanding Contify's Market Intelligence Platform and Pricing Nathan quickly runs the numbers on Contify's pricing tiers and customer count, correcting the rough averages to determine an effective ARPU of $1,500/month given the 50 customers and $75k MRR.4:46–7:54 · Nathan pushing back 4/10 Sales Strategy, Customer Acquisition, and Team Allocation When Mohit admits he does not track customer acquisition cost, Nathan breaks down the company's cost structure by isolating paid spend and categorizing headcounts across sales, engineering, and support.7:56–11:09 · Nathan pushing back 4/10 Sponsor Segment: Acuity Scheduling Following the sponsor break, Nathan interrogates Contify's 95% annual retention, pushing Mohit to distinguish between logo churn and net revenue churn before calculating lifetime value.11:10–13:36 · Nathan pushing back 2/10 Year-Over-Year Growth and Finding Product Focus Nathan computes that Contify spends roughly $800/month per employee based on total MRR and team size. Mohit explains their hybrid tech-plus-human curation model leveraging a secondary office in a lower-cost Indian town.13:37–14:50 · Nathan pushing back 2/10 The Famous Five Rapid-Fire Questions Nathan runs through the Famous Five standard questions, firmly nudging Mohit to pick just one book when he hesitates.

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

0:00 · Nathan 56% · guest 44%0:00 · Nathan 56% · guest 44%3:00 · Nathan 34.5% · guest 65.5%3:00 · Nathan 34.5% · guest 65.5%6:00 · Nathan 54.6% · guest 45.4%6:00 · Nathan 54.6% · guest 45.4%9:00 · Nathan 48.5% · guest 51.5%9:00 · Nathan 48.5% · guest 51.5%12:00 · Nathan 41.4% · guest 58.6%12:00 · Nathan 41.4% · guest 58.6%15:00 · Nathan 92.1% · guest 7.9%15:00 · Nathan 92.1% · guest 7.9%
Sharpest disagreement ▶ 11:37 Mohit clarifies recent growth history

Mohit pushes back against Nathan's assumption of steady 30-40% annual growth, emphasizing that past years were turbulent before finding product clarity 18 months prior.

 Hardest push from Nathan ▶ 3:24 Nathan presses for a single average price point

Nathan refuses to get bogged down in multiple customer cohorts and forces Mohit to state a single blended average price point.

 Biggest teaching moment ▶ 12:47 Mohit details the hybrid human-algorithm curation engine

Mohit explains how human analysts in tier-2 Indian cities configure crawlers and add context where algorithms fail, justifying their 95-person team size.

 Nathan holds their own ▶ 12:23 Nathan calculates per-employee monthly cost

Nathan performs real-time mental math dividing $75k MRR across 95 employees to identify an average burn rate of roughly $800 per employee per month.
the scores for every segment, with the reasoning behind each
ChapterTopicNathan as informed peerGuest teachingGuest disagreementNathan pushing backWhy
Understanding Contify's Market Intelligence Platform and Pricing 6213 Nathan quickly runs the numbers on Contify's pricing tiers and customer count, correcting the rough averages to determine an effective ARPU of $1,500/month given the 50 customers and $75k MRR.
Sales Strategy, Customer Acquisition, and Team Allocation 5114 When Mohit admits he does not track customer acquisition cost, Nathan breaks down the company's cost structure by isolating paid spend and categorizing headcounts across sales, engineering, and support.
Sponsor Segment: Acuity Scheduling 6214 Following the sponsor break, Nathan interrogates Contify's 95% annual retention, pushing Mohit to distinguish between logo churn and net revenue churn before calculating lifetime value.
Year-Over-Year Growth and Finding Product Focus 6312 Nathan computes that Contify spends roughly $800/month per employee based on total MRR and team size. Mohit explains their hybrid tech-plus-human curation model leveraging a secondary office in a lower-cost Indian town.
The Famous Five Rapid-Fire Questions 1012 Nathan runs through the Famous Five standard questions, firmly nudging Mohit to pick just one book when he hesitates.

Statements from this episode (12)

Assertion Not checkable as stated
Contify's platform customers pay between $300 and $2,000 per month
“Now on average, our platform customers are paying in the range of 300 dollars a month to 2000 dollars a month. So it ranges from that depending upon what all they need to track.”
Mohit Bhakuni Mar 7, 2018 ▶ 3:04
Assertion Not checkable as stated
Contify's API and data feed customers pay $2,000 to $5,000 monthly
“And the data feeds, which are our API customers are paying between 2000 to 5000 dollar a month.”
Mohit Bhakuni Mar 7, 2018 ▶ 3:18
Assertion Not checkable as stated
Contify customers pay an average of $1,000 per month
“Thousand is a good average.”
Mohit Bhakuni Mar 7, 2018 ▶ 3:34
Assertion Not checkable as stated
Contify has a team of 95 people based in New Delhi
“We are based in India, New Delhi, and we are 95 people.”
Mohit Bhakuni Mar 7, 2018 ▶ 3:51
Assertion Not checkable as stated
Mohit Bhakuni bootstrapped Contify with an initial investment of just $1,500
“So we put it 1500 dollar to start the company.”
Mohit Bhakuni Mar 7, 2018 ▶ 4:11
Assertion Not checkable as stated
Bhakuni: Contify has 45 to 50 paying customers
“We have approximately four 50 customers, 45 to 50 customers.”
Mohit Bhakuni Mar 7, 2018 ▶ 4:20
Assertion Not checkable as stated
Contify generates $75,000 in monthly recurring revenue
“It's around 70. It's 75 grand a month we are doing. So I think the mean is is around a thousand dollars, but we are doing 75 grand a month.”
Mohit Bhakuni Mar 7, 2018 ▶ 4:30
Disclosure
Contify acquires customers through referrals and former users changing jobs
“We have been getting customers, mostly from our references, people who have used them, used us and moved to the next company”
Mohit Bhakuni Mar 7, 2018 ▶ 5:44
Assertion Not checkable as stated
Contify has maintained 95% annual customer retention over eight years
“We have overall is eight years 95% retention of our customers.”
Mohit Bhakuni Mar 7, 2018 ▶ 9:21
Assertion Not checkable as stated
Contify's customers stay for more than four years on average
“We have seen customers for more than four years on average.”
Mohit Bhakuni Mar 7, 2018 ▶ 10:37
Disclosure
Contify hires graduates in a smaller Indian town to lower labor costs
“So we have two offices. New Delhi is expensive. We have another office, which is in a smaller town in India, and we are getting graduates in, in, in that town.”
Mohit Bhakuni Mar 7, 2018 ▶ 12:47
Insight
Contify uses a hybrid human-AI model because humans grasp context better
“Technology can do certain things really well, which is processing large amount of data and a human mind can very easily can get the context much easier than an algorithm can do. So we have built in hybrid system, and that's why we call it a curated market inte…”
Mohit Bhakuni Mar 7, 2018 ▶ 12:58
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.

Try the podcast clipper Learn more