Dhruvil Sanghvi

1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

14statements → 11claims → 3claims resolved → 100%fully supported → 3.86/5average certainty → 1.14/5average debate potential →

3 supported 0 partly supported 0 contradicted 8 not checkable as stated how the 11 claims stand · each chip opens the sources

11 assertions · 3 disclosures · every statement was checked. The predictions and assertions are the 11 claims: statements the public record can support or contradict. 3 are resolved, and 8 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Dhruvil argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported
Target ships online orders from local stores, not central warehouses
“If you go to target.com when they ship, they don't ship it from their warehouse, they ship it from their nearest store.”
Dhruvil Sanghvi Sep 10, 2019 ▶ 3:11 1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient

How they sound: not measured why? →

We measure speaking style by listening to the audio itself, and a fair number needs at least 2,000 words from one person on tape we have measured. There is too little of Dhruvil Sanghvi on measured tape to publish a rate. This says nothing about how they speak.

Everything Dhruvil Sanghvi said on Top Founders that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Not checkable as stated
The global enterprise truck fleet market is only about 4,000 companies
“No, so we would be the total market size across the world is about 4000 companies, and we already have made a list of all those 4000 guys.”
Dhruvil Sanghvi Sep 10, 2019 ▶ 10:28 1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient
Assertion Not checkable as stated
LogiNext generates $1.2 million in MRR across 50 enterprise customers
“That's correct. Yes.”
Dhruvil Sanghvi Sep 10, 2019 ▶ 12:36 1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient
Assertion Not checkable as stated
Loginex works with a top US retailer and transportation company
“We work with one of the largest retailers in the U S and we also work with one of the largest transportation companies in the U S.”
Dhruvil Sanghvi Sep 10, 2019 ▶ 1:46 1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient
Assertion Supported
Target ships online orders from local stores, not central warehouses
“If you go to target.com when they ship, they don't ship it from their warehouse, they ship it from their nearest store.”
Dhruvil Sanghvi Sep 10, 2019 ▶ 3:11 1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient
Disclosure
LogiNext charges a $50 per-truck monthly minimum for fleets over 100
“Our minimum fees are like 50 dollars per month per asset, as we call it. And then these hundred trucks can be purchased as minimum.”
Dhruvil Sanghvi Sep 10, 2019 ▶ 5:54 1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient
Disclosure
LogiNext's average enterprise customer has a fleet of 500 trucks
“Our current is 500, obviously. So the majority of it is between a 105 hundred, and because there are very few companies across the world who would be having more than thousand trucks on their fleet.”
Dhruvil Sanghvi Sep 10, 2019 ▶ 6:48 1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient
Assertion Supported
90% of US trucking fleets operate with fewer than 10 trucks
“Out of the entire fleet of the US, 90% of the fleets are less than 10 trucks.”
Dhruvil Sanghvi Sep 10, 2019 ▶ 7:00 1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient
Disclosure
LogiNext has raised $10.5 million in total funding to date
“We have raised 10 and a half million dollars so far.”
Dhruvil Sanghvi Sep 10, 2019 ▶ 9:15 1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient
Assertion Not checkable as stated
LogiNext employs 100 people with a 60-40 technical split
“We are a total of a hundred people. And majority of these are tech guys. So we are very sales slim company. Roughly split would be about a 60 tech, 40 non-tech.”
Dhruvil Sanghvi Sep 10, 2019 ▶ 11:04 1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient
Assertion Not checkable as stated
LogiNext was generating roughly $450K in MRR in late 2017
“We were close to, we were doing roughly an MRR of about I would say half a million back then, or 400 K. So that's what our MR was.”
Dhruvil Sanghvi Sep 10, 2019 ▶ 12:45 1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient
Assertion Not checkable as stated
LogiNext maintains an annual gross revenue churn below 5%
“The churn is annual churn is less than a five percent, and this is more of a gross churn.”
Dhruvil Sanghvi Sep 10, 2019 ▶ 13:18 1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient
Assertion Not checkable as stated
LogiNext's net revenue retention rate is currently 108%
“I would say a 108% right now. Net is eight percent positive.”
Dhruvil Sanghvi Sep 10, 2019 ▶ 13:35 1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient
Assertion Not checkable as stated
LogiNext spends $20,000 to acquire enterprise customers paying $25,000 monthly
“I think if we, you know, put all together, it would come about 20,000 dollars of CAC. Including sales, marketing. Salaries, time, travel, everything.”
Dhruvil Sanghvi Sep 10, 2019 ▶ 15:05 1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient
Assertion Supported
Jack Ma is an LP in one of LogiNext's investor funds
“Jack Ma, who also happens to be our investor's investors.”
Dhruvil Sanghvi Sep 10, 2019 ▶ 16:07 1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient

Appearances (1)

EpisodeDateSpeaking time
1508 With $1.2m in MRR, They're Making Truck Fleets More Efficient Sep 10, 2019 11m
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.