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#1549The Data Mix Podcast69.6 / 100Get badge
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The Data Mix Podcast

Hosted by Brian Booden, George Beaton

Brian Booden and George Beaton are very excited to introduce The Data Mix - a new show focusing on some of the leading individuals in the Data and Analytics space!

29 episodes · publishes monthly · latest 2025-05-19 · ~58 min/episode

Rank

#1549

Substance

69.6

/ 100

Breakdown

Scored 2026-07
Updated monthly

AI & Data rank

#146 of 495

Best B2B AI & Data Podcasts →

Across the index

#1549 of 6177

Substance

Top 25%

outscores 75% of the index

Why it scores where it does

The Data Mix Podcast ranks #1549 on The B2B Podcast Index with a substance score of 69.6 out of 100, scored across 5 recent episodes. It scores highest on guest caliber and specificity & evidence. Taylor Desseyn is a practitioner with relevant operational experience - he leads community at a funded staffing platform and has transitioned from recruiting to DevRel. His background is credible and his role gives him real visibility into hiring dynamics. However, he is not a C-level operator at major scale, and while knowledgeable about his domain, he lacks the seniority or breadth of experience of a VP of Engineering or Chief People Officer who has scaled hiring across multiple organizations.

The five-dimension breakdown

Averaged across 5 recently scored episodes, with cited evidence.

Insight Density

13.8 / 20

The episode contains moderately useful insights about community-driven recruitment, particularly around response rates (25% vs 70%) and the seven-touch-point sales principle. However, much of the conversation devolves into anecdotal storytelling and general platitudes about trust and authenticity that an experienced operator would already understand. The specific product details and tactical approaches are somewhat thin relative to the runtime.

“traditionally when a recruiter messages a developer from a staffing company, like cold DMs, their response rate's only 25%. So if I message 10 people people, I'm only hearing back from two and a half percent of those people, right, or no two and a half people when you message somebody on the tort platform. So if you use us and this is why this is why my job in community is so important is. The response rate is 70%”

“It takes seven touch points for somebody to make a decision seven, right”

Originality

12.2 / 20

While community-based recruitment is a sensible alternative to traditional job boards, the core thesis - that trust and relationships matter in hiring - is not novel. The execution at Torque is relatively fresh, but the broader framing around human connection over automation and DevRel applied to talent are extensions of well-established thinking. George's comment about 'social proof' and referral-based hiring reflects existing industry consensus.

“what we're doing is like hey, here are 10 ways to write a resume. Hey, here are six ways to interview with a hiring manager. Hey, here's the best way to negotiate an offer”

“People trust who they trust. They like to buy from friends they like to buy from people they know. So I think community solves that”

Guest Caliber

16.8 / 20

Taylor Desseyn is a practitioner with relevant operational experience - he leads community at a funded staffing platform and has transitioned from recruiting to DevRel. His background is credible and his role gives him real visibility into hiring dynamics. However, he is not a C-level operator at major scale, and while knowledgeable about his domain, he lacks the seniority or breadth of experience of a VP of Engineering or Chief People Officer who has scaled hiring across multiple organizations.

“Taylor Desseyn is the VP of Global Community at Torque, and Torque is pioneering a new way of employment as the only way I can think community-based employment or community-sourced employment for tech and data”

“I truly have my dream job now and the ability to create DevRel for talent, which is what we're doing at Torque”

Specificity & Evidence

14.2 / 20

Taylor provides some concrete metrics: 25% response rate for cold outreach vs. 70% for platform messages, 70% profile completeness threshold, Discord scaled from 900 to 4,000 members in months, and a case study about hours saved for one unnamed client. However, most claims lack specificity: company names are rarely cited, placement rates are vague, financial data is absent, and case study details are thin. The Amsterdam conference and All Things Open are mentioned but without concrete outcome data.

“We have a case study of helping a client that we basically took away. I mean, the hours is ridiculous. It's like hundreds of hours of interviewing we like alleviated from this one client”

“we scaled our Discord from about 900 people to close to 4,000 people in a few months”

Conversational Craft

12.6 / 20

The hosts are friendly and engaged, but questioning lacks depth and follow-up rigor. When Taylor makes claims (e.g., about the 70% response rate advantage or platform effectiveness), the hosts accept them without pressing for evidence or methodology. Few challenging questions are posed about unit economics, failure rates, or competitive differentiation. The conversation often shifts to personal anecdotes rather than probing critical business assumptions. The hosts' closing commentary feels more like summary than interrogation.

“Wow, taylor, you mentioned um near shore capabilities. Just then be clear about the service. Are you actually providing a sort of business process BPO type service um in any form or fashion, or is it individual? contractors, consultants”

“But what about you must get and I'm going back to brian's comment about there are charlatans out there, there are people that will say they can do something. They'll maybe take the first couple of weeks of pay before somebody finds out that they're no good at the job. How are you screening for these?”

Standout episodes

  • TDM S3 Ep7 - Taylor Desseyn: Building Trust in Tech Communities

    2025-04-16

    80
  • TDM S3 Ep9 - Beyond the Buzzwords: Rethinking Our Approach to Data and AI Literacy

    2025-05-08

    76
  • TDM S3 Ep6 - Deepak Prasad: Catching the Data Wave Before It Breaks

    2025-04-10

    72

Rank over time

First period on the Index - history builds from here.

Episodes

9 scored on substance · 29 tracked in total.

  • TDM S3 Ep10 - Qlik Connect 2025 with Mike Capone - Navigating the Agentic Revolution

    2025-05-19 · 23 min

    58 / 100
  • TDM S3 Ep9 - Beyond the Buzzwords: Rethinking Our Approach to Data and AI Literacy

    2025-05-08 · 58 min

    76 / 100
  • TDM S3 Ep8 - Women Who Qlik: Driving Data Diversity

    2025-05-01 · 59 min

    62 / 100
  • TDM S3 Ep7 - Taylor Desseyn: Building Trust in Tech Communities

    2025-04-16 · 60 min

    80 / 100
  • TDM S3 Ep6 - Deepak Prasad: Catching the Data Wave Before It Breaks

    2025-04-10 · 55 min

    72 / 100
  • TDM S3 Ep5 - How Slack is Changing DevRel with AI - Kurtis Kemple (Slack & Salesforce AI)

    2025-02-07 · 57 min

    76 / 100
  • TDM S3 Ep4 - Ben Rogojan - Data Engineering Secrets: From Facebook to Freelance

    2025-01-20 · 59 min

    83 / 100
  • The Data Mix - S3 Ep3 - Mitchell Tan

    2025-01-06 · 59 min

    77 / 100
  • The Data Mix - S3 Ep2 - Rosanne Werner

    2024-12-19 · 54 min

    78 / 100

Frequently asked

What is The Data Mix Podcast's substance score?
The Data Mix Podcast scores 69.6 out of 100 for substance and ranks #1549 on The B2B Podcast Index. That puts it ahead of 75% of the B2B podcasts we rank and #146 of 495 in AI & Data. The score reflects insight density, originality, guest caliber, specificity and conversational craft across recent episodes - not downloads.
Is The Data Mix Podcast worth listening to?
Yes - The Data Mix Podcast outscores 75% of the B2B ai & data podcasts and shows we rank on substance, so a ai & data operator is likely to come away with something useful.
Who hosts The Data Mix Podcast?
The Data Mix Podcast is hosted by Brian Booden, George Beaton.
How often does The Data Mix Podcast publish?
The Data Mix Podcast publishes monthly, has 29 episodes, released its most recent episode on 2025-05-19.
Which The Data Mix Podcast episode should I start with?
Our highest-scoring recent episode is "TDM S3 Ep7 - Taylor Desseyn: Building Trust in Tech Communities" (80/100) - a good place to start.

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Guests who've appeared

Mike CaponeAngelica ClydusSteph RobinsonGwen StampPriscilla PaolanelliAngelica ClyusTaylor DesseynDeepak PrasadCurtis KempleBen RogojanMitchell TanRosanne Werner

Topics this show covers

The themes that come up most across this show's episodes.

Data governance · 2Apache Iceberg · 2Data integration · 2Qlik Connect 2025Agentic frameworkQlik Open LakehouseCapacity-based pricingQlik AnswersUpsolver acquisitionStructured and unstructured dataChatGPTCopilotgenerative AICritical thinkingMachine Learningdata qualityAI LiteracyData literacy

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