Re

Reading Magazines and Newsletters made simple

Hacker News

Reading Magazines and Newsletters made simple

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
73%73% 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 · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
21%21% predicted probability of success on Indie Hackers, 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

Muniqué
Muniqué30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A simple app for reading newsletters

Indie Hackers1news-magazines
mux
mux39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An inbox for reading newsletters

Indie Hackerscommitment-side-project
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
Go
Goodreads for Newsletters49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Goodreads for Newsletters

Hacker News18
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
Rune Reader
Rune Reader39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A dedicated app for reading and annotating newsletters

Indie Hackerscommitment-side-project
Presspool
Presspool21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Distraction free reading for all your newsletters

Indie Hackers3content
un
unix subprocesses for Erlang with reading with backpressure72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

unix subprocesses for Erlang with reading with backpressure

Hacker News8
Th
The SQ3R Reading Method28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The SQ3R Reading Method

Hacker News10
Resurefy
Resurefy34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reinvent Reading

Indie Hackers3writing