in

inboxhiiv - Your favorite podcasts into insightful newsletters

Hacker News

inboxhiiv - Your favorite podcasts into insightful newsletters

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
66%66% predicted probability of success on BetaList, 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: new, inbox · Missing: mac, agents, macos
63%63% 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.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Prosed
Prosed68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Go from newsletters & podcasts to published manuscript

Product Hunt+155Artificial Intelligence
Re
Reclist.me – Share your favorite books, podcasts, newsletters47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reclist.me – Share your favorite books, podcasts, newsletters

Hacker News69
Pu
Publish Newsletters and Podcasts60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Publish Newsletters and Podcasts

Hacker News1
I
I made an app to transform your Newsletters into Podcasts29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made an app to transform your Newsletters into Podcasts

Hacker News4
I
I made a tool to transform Newsletters into Podcasts43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a tool to transform Newsletters into Podcasts

Hacker News4
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
Co
Convert podcasts to newsletters with Gemini (FREE)51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Convert podcasts to newsletters with Gemini (FREE)

Hacker News4
FluidCast
FluidCast60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your favorite podcasts, on all your devices

Indie Hackers1content
Ma
Maktoub – Newsletters in Rails45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Maktoub – Newsletters in Rails

Hacker News2
Je
Jekyll for MailChimp newsletters47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jekyll for MailChimp newsletters

Hacker News2