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4.4M influencer listings 🏢50.9K sponsor listings 🌍69B combined audience reach 📊13 platforms indexed 🗺️130+ countries covered 🏷️10,000+ niches 🦋1.8M Bluesky creators 🎙️1.2M podcast creators 🟣807.2K Twitch creators 🐘158.6K Mastodon creators 🥊104.8K Kick creators ▶️83.1K YouTube creators 𝕏80.9K X creators 📈74K Pinterest creators ✈️56.4K Telegram creators 🎵35.9K TikTok creators 🎮8.3K Discord creators 🎬4.1K Rumble creators 📈2.2K Substack creators 🧵1.6K Threads creators 4.4M influencer listings 🏢50.9K sponsor listings 🌍69B combined audience reach 📊13 platforms indexed 🗺️130+ countries covered 🏷️10,000+ niches 🦋1.8M Bluesky creators 🎙️1.2M podcast creators 🟣807.2K Twitch creators 🐘158.6K Mastodon creators 🥊104.8K Kick creators ▶️83.1K YouTube creators 𝕏80.9K X creators 📈74K Pinterest creators ✈️56.4K Telegram creators 🎵35.9K TikTok creators 🎮8.3K Discord creators 🎬4.1K Rumble creators 📈2.2K Substack creators 🧵1.6K Threads creators
Between Data & Risk

Between Data & Risk

Podcast business
🔄 Data last refreshed 3 days ago
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Ratings
N/A
Episodes
24
Cadence
0.1 ep/wk
Latest episode
1 year ago
🎁 Free analysisfor Between Data & Risk

💡 Facts

📤Posts about 0.1× per week.

👥 Audience demographics

Estimated

Modeled from this creator's niche, platform & region — a planning estimate, not connected analytics.

Gender split
Male 74% Female 26%
Age · peak 25-34
13-176%
18-2427%
25-3431%
35-4422%
45+14%
Top geographies
  • United States34%
  • India11%
  • United Kingdom8%
  • Brazil6%
  • Indonesia5%
Likely interests
EntertainmentLifestyleTrending

💚 Brand affinity

Estimated

Brands Between Data & Risk's audience is most likely to respond to — from detected sponsorships in this niche.

Keeps Shopify Robinhood Neuberger Explore NBSD Betterment Gymshark VanEck Nuveen DBMF Webull

About

Between Data and Risk is for founders who are actually building something. After nearly 50 episodes on data, risk, and business ops with corporate leaders, we shifted focus—because the stories that stuck weren’t about scale. They were about the early days, when everything’s uncertain and nothing works yet. Now we talk to founders making real decisions with limited info, tight time, and no safety net. The problems vary, but the terrain is shared: shipping too early, hiring too safe, trusting your gut and hoping you’re right. Your hosts: Artur Guja, ex-CRO and ex-trader who navigated 2008 with gains. Dr. Marian Siwiak, scientist, data whisperer, author of Data Mesh in Action, and creator of artificial sentience. Together, they wrote Starting Data Analytics with ChatGPT. And they still enjoy what matters most: talking to founders figuring it out as they go. Subscribe if you want to learn what works (and what doesn’t) from people who’ve lived it.

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