Podseo – Growth and competitive intelligence for Podcasts

Hacker News

We've recently launched Podseo, a product designed to optimize SEO specifically for podcasts. Instead of focusing on traditional search engines, Podseo enhances visibility on platforms like Apple Podcasts, Spotify, YouTube Music, and Amazon Music. Despite the growth of podcasting, marketing and promotion for podcasts often lag behind other industries. Podseo aims to bridge that gap by providing competitive intelligence, improving rankings, and uncovering growth opportunities for podcast creators. Would love to hear your thoughts, feedback, and suggestions!

Visit product View on Hacker NewsJan 29, 2025

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Strong signals: podcasting · Missing: supports, reddit linkedin, created

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: apple, using · Missing: mac, agents, macos

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Glimpse62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The competitive intelligence agent

Product Hunt+106Analytics

Rival59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automated competitive intelligence

Indie Hackerscommitment-side-project

Glimpse49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Competitive intelligence on autopilot

Indie Hackerscommitment-side-project

SiteScore.ai59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Competitive Intelligence for the MarTech Industry

Indie Hackers1analytics

iTrend, Extracting Competitive Intelligence from Twitter Data32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

iTrend, Extracting Competitive Intelligence from Twitter Data

Hacker News2

Podcat – Imdb for podcasts39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Podcat – Imdb for podcasts

Hacker News401

Podfio – Netflix of Podcasts56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Podfio – Netflix of Podcasts

Hacker News3

PinCast – Clipped Podcasts39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PinCast – Clipped Podcasts

Hacker News1

PodHound – ProductHunt for Podcasts40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PodHound – ProductHunt for Podcasts

Hacker News3

PodSnacks (CliffsNotes for Podcasts)39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PodSnacks (CliffsNotes for Podcasts)

Hacker News8

Browse all products Analyze your launch