Track who's advertising on every podcast, what they're spending, and where their campaigns are running — then buy open inventory directly from publishers, all in one place. The competitive intelligence layer for podcast ads.
Here's a thing that's always bothered me about podcast advertising: it's one of the only major ad channels where you can't easily answer the basic competitive questions. Who's advertising on my favorite show? What's BetterHelp actually spending on podcasts this quarter? Which new brands just started testing the channel? Which shows are over-indexed on CPG vs. fintech vs. DTC?
The data exists. But it's been locked behind enterprise contracts, the UIs feel like 2014, and there's no way to act on what you learn without leaving the tool and writing a bunch of emails.
SpotsNow is the version I wanted: Free access to podcast ad spend data across 60,000 shows, with a modern interface that doesn't make you fight it, and (the part I'm genuinely most excited about) a built-in marketplace of open inventory so the second you spot a show that fits your campaign, you can actually request a spot from the publisher right there.
A few things we'd love help with today:
1. If you research podcast ads: spotsnow.io is open. Pull up your favorite advertiser or your own brand. Tell us what you wish were there. 2. If you've built Competitor Intelligence tools: I'd love your read on our category taxonomy and confidence scoring - that's where we're investing next. 3. If you run a podcast or network: there's a free way to list open inventory and reach the buyers who are already researching shows like yours.
Huge thanks to the early users who stress-tested this when the dataset was a tenth of its current size. Today it goes wide. Roasts, questions, feature requests, all welcome. 🙏
Congrats, Cam! Nice and useful product. Makes podcast ad research much easier for brands and marketers. Wishing you a successful launch!
Congratulations on launching. Such a refreshing product on the leaderboard today!!!
Congrats on shipping. Is it helpful for B2C brands only or even extremely niche brands too? Example, dev first companies?
Congrats on the launch! are you planning to add performance benchmarks per show — like average conversion rates or CPM ranges — or is that data too hard to get reliably?
wow really interesting! @abhishek_thory@campritchard@boudinet@aizuh - I guess the biggest question I would have (after a really short glance) is where / how you're getting the campaign costs for what the advertisers are paying the podcasts (as I presume this data isn't publicly reported anywhere... or is it?!!) and I guess - if so - is this self reported data?
I'd imagine I might fudge my campaign numbers if I was able to self report. Obviously a ton of value either way but these are the metrics I'd be most interested in - what my competitors are spending on the podcasts that live in my niche.
Killer launch and big congrats to the team!
Podcast ad attribution has been a guessing game for buyers for years — host-reads vs dynamic insertion vs platform fragmentation makes clean signal really hard to pull. Curious how you handle the dynamic-vs-baked-in distinction in the data. (I built PolyMind to surface signal from prediction-market trades, and 'extracting clean signal from noisy streams' is a problem I keep running into across very different domains.)
Very interesting. Was there a moment from the last few months where a publisher or advertiser used SpotsNow in a way you didn't design for, but it ended up showing you what the product is actually becoming?
The "data exists but was locked behind enterprise contracts" framing is exactly the gap I keep seeing in adjacent markets too. Coming from finance content creation — I run the ModeLoop Podcast on Spotify (https://open.spotify.com/show/0m1oR8AyQv17DVpc5MmirG) — the thing podcasters in any niche struggle with isn't measuring downloads, it's understanding the competitive ad picture in their category. SpotsNow giving the publisher side the "who else is being advertised on shows in your topic" view would be a meaningful unlock — and the open-inventory marketplace closes the loop nicely. Curious if you're planning category-level benchmarks (e.g. average CPM ranges by topic vertical) for smaller publishers who don't have direct comps.
Hey, the audio pixel attribution part is the headline feature for me honestly. promo codes always undercount and brand-lift studies take weeks. quick question, are the pixels embedded at the publisher level or in the ad creative itself? assuming there's a tradeoff between accuracy and publisher buy-in there.
Nice, congrats on the launch! Are you planning to scale to any other channels, like shorts, reels/tiktoks etc?
Very interesting! Can I see not just where a specific company is advertising, but where companies in a whole industry are advertising? In particular, I need to understand where travel startups place their ads and which exact ones they use. Is that possible?
very niche-ish product. The team behind this looks top tier ;) @campritchard good luck!
Super interesting idea! I honestly haven't really thought about podcast ads but now tempted to try out this new marketing channel.
What a neat tool, I'm already having a lot of fun spying on our competitors 😅
About SpotsNow on Product Hunt
“Track who's advertising across podcasts w/ campaign insights”
SpotsNow launched on Product Hunt on May 28th, 2026 and earned 505 upvotes and 65 comments, earning #2 Product of the Day. Track who's advertising on every podcast, what they're spending, and where their campaigns are running — then buy open inventory directly from publishers, all in one place. The competitive intelligence layer for podcast ads.
SpotsNow was featured in Analytics (172.1k followers), Advertising (29.7k followers) and Radio (357 followers) on Product Hunt. Together, these topics include over 19.3k products, making this a competitive space to launch in.
Who hunted SpotsNow?
SpotsNow was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how SpotsNow stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rohan Chaubey
Hey Product Hunt 👋 Cam here, founder of SpotsNow.
Here's a thing that's always bothered me about podcast advertising: it's one of the only major ad channels where you can't easily answer the basic competitive questions. Who's advertising on my favorite show? What's BetterHelp actually spending on podcasts this quarter? Which new brands just started testing the channel? Which shows are over-indexed on CPG vs. fintech vs. DTC?
The data exists. But it's been locked behind enterprise contracts, the UIs feel like 2014, and there's no way to act on what you learn without leaving the tool and writing a bunch of emails.
SpotsNow is the version I wanted: Free access to podcast ad spend data across 60,000 shows, with a modern interface that doesn't make you fight it, and (the part I'm genuinely most excited about) a built-in marketplace of open inventory so the second you spot a show that fits your campaign, you can actually request a spot from the publisher right there.
A few things we'd love help with today:
1. If you research podcast ads: spotsnow.io is open. Pull up your favorite advertiser or your own brand. Tell us what you wish were there.
2. If you've built Competitor Intelligence tools: I'd love your read on our category taxonomy and confidence scoring - that's where we're investing next.
3. If you run a podcast or network: there's a free way to list open inventory and reach the buyers who are already researching shows like yours.
Huge thanks to the early users who stress-tested this when the dataset was a tenth of its current size. Today it goes wide. Roasts, questions, feature requests, all welcome. 🙏