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4.4M influencer listings 🏢50.9K sponsor listings 🌍68.8B combined audience reach 📊13 platforms indexed 🗺️130+ countries covered 🏷️10,000+ niches 🦋1.8M Bluesky creators 🎙️1.2M podcast creators 🟣806K Twitch creators 🐘158.6K Mastodon creators 🥊104.4K Kick creators ▶️83.1K YouTube creators 𝕏80.5K X creators 📈72.9K Pinterest creators ✈️56.2K Telegram creators 🎵35.5K 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 🌍68.8B combined audience reach 📊13 platforms indexed 🗺️130+ countries covered 🏷️10,000+ niches 🦋1.8M Bluesky creators 🎙️1.2M podcast creators 🟣806K Twitch creators 🐘158.6K Mastodon creators 🥊104.4K Kick creators ▶️83.1K YouTube creators 𝕏80.5K X creators 📈72.9K Pinterest creators ✈️56.2K Telegram creators 🎵35.5K TikTok creators 🎮8.3K Discord creators 🎬4.1K Rumble creators 📈2.2K Substack creators 🧵1.6K Threads creators
Good for What?

Good for What?

Podcast technology
🔄 Data last refreshed 1 day ago
🤝

Make a deal with Good for What?

🔒 Paid proposals held safely in escrow — released only when the work's approved.

Every booking is a normal escrow-protected deal.

Ratings
N/A
Episodes
1
Latest episode
3 months ago
🎁 Free analysisfor Good for What?

👥 Audience demographics

Estimated

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

Gender split
Male 80% Female 20%
Age · peak 18-24
13-1710%
18-2432%
25-3431%
35-4415%
45+12%
Top geographies
  • United States34%
  • India11%
  • United Kingdom8%
  • Brazil6%
  • Indonesia5%
Likely interests
TechnologyGadgetsSoftwareGaming

💚 Brand affinity

Estimated

Brands Good for What?'s audience is most likely to respond to — from detected sponsorships in this niche.

Keeps Genshin Impact Shopify Dbrand Surfshark Audible Incogni Saily Nebula Fiverr

About

This project, conducted in partnership with Hunter College, New America, and Bright Community Trust, uses advanced AI to gather data, inform policy, and connect individuals facing housing instability with critical resources. By examining how AI and data-driven approaches can help prevent housing loss, this project addresses the intersections of climate change, homelessness, and equitable access to resources, with significant potential to inform and shape policy responses.

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