70 Episodes, 7 Hard Truths: My Journey Podcasting Web3 & AI
- Nishadil
- July 07, 2026
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What I discovered after recording 70 podcast episodes about Web3 and AI
After more than a year and 70 episodes on Web3 and AI, I finally figured out what works, what doesn’t, and the gritty realities that every aspiring podcaster should know before hitting record.
When I first hit the record button on my Web3‑and‑AI podcast, I was brimming with optimism. I imagined endless tech‑savvy listeners, a stream of high‑profile guests, and maybe—just maybe—a steady trickle of sponsorship money. Fast‑forward 70 episodes later, the excitement has mellowed into a handful of hard‑won lessons that feel more like cautions than fan‑fare.
1. Hype moves faster than adoption. Everyone talks about decentralized finance or generative AI like it’s already woven into daily life. In reality, most users are still figuring out wallets or what a “prompt” even is. Your content can be brilliant, but if the audience isn’t there yet, download numbers will stay modest.
2. Listener fatigue is real. The market is saturated—new shows pop up weekly, each promising the next big insight. Listeners quickly skim, and even the most diligent fans binge‑listen only when they have a spare hour. You’ll need to earn their attention, not just hope they stumble upon you.
3. Booking guests is a circus. I learned the hard way that “big name” doesn’t equal “easy to book.” Their teams filter every request, and your inbox gets ignored for weeks. Persistence helps, but you also have to be ready to host lesser‑known voices who can bring fresh angles.
4. Monetization isn’t automatic. Sponsorships love big download numbers, but they also love niche relevance. If your audience is split between Web3 zealots and AI researchers, finding a sponsor that clicks with both can feel like solving a puzzle without a picture.
5. Consistency is a grind, not a glamour. Recording, editing, and publishing every week drains time and energy. I found myself editing at 2 a.m. after a late‑night interview, battling burnout, and questioning whether the grind was worth it. Scheduling buffer weeks became a lifesaver.
6. Content ages faster than you think. An episode on “NFT royalties in 2022” felt fresh when it dropped, but a few months later it sounded like a relic. The tech world moves at warp speed, so you must either timestamp your insights or frame them as historical snapshots.
7. A podcast alone won’t build a community. Listeners may enjoy an episode, but without a Discord, a newsletter, or regular AMA sessions, the connection fizzles. Community work is extra effort—yet it’s the glue that turns casual listeners into loyal advocates.
So, what does this mean for anyone thinking about launching a podcast in the same space? First, define a razor‑thin niche. Instead of “Web3 and AI,” maybe focus on “AI for decentralized finance.” Second, set a realistic publishing cadence; it’s better to release every two weeks consistently than to promise weekly and fall short. Third, budget for editing tools, transcriptions, and guest incentives—don’t assume you can do it all for free.
Lastly, remember that success isn’t just downloads. Engagement, feedback, and the tiny moments when a listener tells you the episode helped them understand a concept—that’s the real win. If you’re ready for the grind, the insights will keep coming, and so will the inevitable setbacks that make the journey worthwhile.
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