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Deep Tech Musings

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Podcast technology
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Make a deal with Deep Tech Musings

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

🎙️Mid-roll host-read adA ~60s host-read ad in the middle of an episode — the premium slot. from $20→ ⏱️Pre-roll host-read adA ~15–30s host-read ad at the very start of an episode. from $12→ 🔚Post-roll host-read adA host-read ad at the end of an episode — the affordable entry point. from $11→ ⭐Full-episode sponsorshipAn entire episode presented by your brand — "brought to you by", with mentions throughout. $60→ 📦Series package (3+ episodes)A host-read ad across several episodes at a package rate. $90→ 🎤Guest spot for your expertYour founder or expert comes on as an interview guest — branded thought-leadership, not a hard ad. $50→ 🔗Show-notes / description linkYour link in the episode description + a pinned mention, for the month. $20/mo→ 🤝Cross-promo / trailer swapWe run each other's trailers — a value swap between shows. Swap or paid→ 🎬UGC HireBranded content for your own channels & ads from $50→ 🎙️Get booked on this podcastAppear as a paid guest on this show $25→ 📞1:1 ConsultPaid video call — advice, coaching or Q&A $75/hr→

Every booking is a normal escrow-protected deal.

Ratings
N/A
Episodes
62
Cadence
0.2 ep/wk
Latest episode
2 years ago
🎁 Free analysisfor Deep Tech Musings
🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

🗓️ Publishing rhythm

Irregular
New episodes · by day of week
M
T
W
T
F
S
S
Release cadence
Weekly
≈ 0.2 episodes / week — cadence varies, so lock dates when you book.
Usual drop day
Saturdays
New episodes most often land on Saturdays — the freshest slot for a host-read ad to reach listeners.
Catalog depth
62 episodes
An established show — roughly 7 years at this pace, with a deep back-catalogue of evergreen ad inventory.

💡 Facts

📤Posts about 0.2× per week.

👥 Audience demographics

Estimated

Modeled from this creator's niche, platform & region — a niche benchmark, not this creator's real audience data.

Gender split
Male 80% Female 20%
Age · peak 18-24
13-1711%
18-2433%
25-3432%
35-4416%
45+8%
Top geographies
  • United States34%
  • India11%
  • United Kingdom8%
  • Brazil6%
  • Indonesia5%
Audience language
  • English88%
  • Other12%
Likely interests
TechnologyGadgetsSoftwareGaming

💚 Brand affinity

Estimated

Brands Deep Tech Musings's audience is most likely to respond to — from detected sponsorships in this niche.

Keeps Shopify Fiverr Genshin Impact Audible Dbrand Saily AG1 Incogni NordVPN

About

Get actionable and tactical insights to take your Deep Tech startup from Idea to Traction (0 to 1). For detailed episode insights like summaries, quotes, etc head over to substack - pronojits.substack.com Deep Tech Musings is a podcast where we talk to exciting startup founders, professionals, and investors in the Deep Tech space (AI, Robotics, IoT, Blockchain, etc). Consider it a platform where one can discover new deep tech use cases and learn novel ways such technologies are being used to solve real-world problems, creating value.

📸 Gallery

DTM E61. Sentience Before Intelligence: Rethinking the Approach to Computer Vision - Gokul, CynLr DTM E60. Foraying into VC Industry and Enabling Deep Tech Startups in India- Vasan, TDK Ventures DTM E59. Real Time ML & Generative AI Edge Computing Platform - Varun, NimbleEdge DTM E58. The Future of AI Chips - Dr. Naveen Verma, Encharge.ai DTM E57. The Future of VC & Deep Tech in India, Transitioning into a VC Career and Understanding the VC Structure - Arjun Rao, Speciale Invest DTM E56. Building a Healthcare AI Startup From 0 to 1 and Taking it to the World - Dr. Geetha Manjunath, NIRAMAI Health Analytix DTM E55. Building a Deep Tech Focused Rs 702cr Fund and Exploring Deep Tech Shifts - Manish Singhal, pi Ventures DTM E54. The Future of User Feedbacks, Customer Acquisitions, and Moats in an AI First World- Rob May, BrandGuard.ai

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

ONS Energy Talks ONS Energy Talks 48% The ConCast The ConCast 46% EV Revolution Show - Audio Podcasts EV Revolution Show - Audio Podcasts 46% Exploit Brokers By Forgebound Research - Tech and Hacking News Commentary Exploit Brokers By Forgebound Research - Tech and Hacking News Commentary 44% Digital Afterlife: Hollywood & AI Tech Digital Afterlife: Hollywood & AI Tech 43% Internet of Senses Podcast Internet of Senses Podcast 41%

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