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Startup Intelligence
Markets
  • Signal Feed
  • All Startups
  • Live Launches
  • Breakout Momentum
  • Opportunity Radar
  • Categories
  • Founders
  • Revenue
  • Cross-platform
Intelligence
  • Ask Market
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/
1,306 products · 2,316 snapshots
SpotsNow

SpotsNow

#2 today

Track who's advertising across podcasts w/ campaign insights

Launched 1d agoProduct Hunt Website
Votes
359
Comments
52

What this means

47%Mid-tier finish likely.
Projecting 359 votes by end of day-1.
+725%Launching in a 725% WoW growing category.
Analytics had 33 launches this week vs 4 last.
60%Strong buyer-intent signal in the comments.
60% of commenters sound like potential buyers — mostly marketers.
85%Comment sentiment overwhelmingly positive.
Audience strongly receptive — marketers engaged.
Users are asking for business outcome measurement + attribution methods.
Feature requests surfaced from the comment thread.
Recurring concerns: niche market, data reliability concerns.
Pain points mentioned more than once in comments.

Prediction

Top-5 finish probability
47%
today
Projected end-of-day votes
359range 269–485
Trajectory
stable
Not enough snapshots yet to detect trajectory.

About

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.

AI Summary

SpotsNow provides analytics on podcast advertising, allowing users to track advertisers, spending, and campaign locations. It also facilitates direct purchasing of open inventory from publishers.

Vote & comment velocity

Scores

Velocity0.0
Vote pace vs avg
Momentum0.0
Sustained over 6h
Virality0.0
Spread × engagement
Engagement29.0
Comments per vote

Founders

Rohan Chaubey
@rohanrecommends · hunter

Topics

AnalyticsAdvertisingRadio

Comment Intelligence· 20 comments analysed

Sentiment

Positive85%
Neutral10%
Negative5%
Buyer intent
60%
of commenters sound like potential buyers
Audience
marketers
Overall vibe

Overall, the launch received strong positive feedback with interest in its unique features and potential applications.

Top themes
  • competitive insights
  • transparency
  • marketplace features
  • user experience
  • advertising data
Feature requests
  • business outcome measurement
  • attribution methods
  • industry-wide ad tracking
  • integration with other channels
  • enhanced user interface
Complaints
  • niche market
  • data reliability concerns
  • limited initial features

Top comments

[REDACTED]
↑ 44

<p>Hey Product Hunt 👋 Cam here, founder of SpotsNow.<br><br>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?<br><br>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.<br><br>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.<br><br>A few things we'd love help with today:<br><br>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.<br>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.<br>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.<br><br>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. 🙏</p>

[REDACTED]
↑ 10

<p>Nice idea.</p>

[REDACTED]
↑ 7

<p>Congrats on launching, Cam! Not coming at this as someone who's built competitive-intel tools, more as the "researches podcast ads / pull up your brand" person you mentioned. I'm getting an iOS app ready to launch and came at this as a would-be buyer: pulling up specific brands and shows works very well. And I'm excited to try the marketplace features too.</p><p>One observation that might be relevant to the taxonomy work you said you're investing in: my instinct as a buyer was to navigate by <em>theme</em> — "relationships," "dating," "wellness" — to find shows that fit my app. That's not how the tool thinks (it's organized around industry tags / specific advertisers, which makes sense once it clicks).</p>

[REDACTED]
↑ 6

<p>A very interestig idea, congratulations on the launch!</p>

Sentiment computed via openai