FluidCast

FluidCast

Indie Hackers

Your favorite podcasts, on all your devices

FluidCast is a cross-platform podcast app that starts with a first-class iOS and Mac experience, while early clients for Windows, Linux, and Android are now in alpha.

Share card

Actual performance

1followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: mac · Missing: agents, macos, agent
70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
38%38% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

HyperCatcher
HyperCatcher76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Surfaces content from your favorite podcasts

Indie Hackers2$10/mopodcasting
Po
Podcastsaver.com – download your favorite podcasts36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Podcastsaver.com – download your favorite podcasts

Hacker News3
Po
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
Po
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
Pi
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
Po
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
Po
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
Fi
Find Similar Podcasts41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find Similar Podcasts

Hacker News2
Jo
Joe Rogan Podcasts Analyzed via AssemblyAI, HuggingFace, and Steamship51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Joe Rogan Podcasts Analyzed via AssemblyAI, HuggingFace, and Steamship

Hacker News1
Fi
Find similar podcasts41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find similar podcasts

Hacker News33