I Want To Read More

I Want To Read More

Indie Hackers

Help blogger write more interesting and engaging articles

I needed such a tool for my personal blog. I wanted a simple way to ask my readers what topic I should write about next. So I decided to build the tool myself...

Share card

Actual performance

2followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
59%59% 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.
TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
40%40% 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
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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Newslater
Newslater29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Generate newsletters from articles you want to read.

Indie Hackerscommitment-side-project
NewsLater
NewsLater33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A daily email of articles you actually want to read

Indie Hackers1advertising
Sh
ShouldRead – Get the articles you want to read as digest in your email52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ShouldRead – Get the articles you want to read as digest in your email

Hacker News3
Wa
Want to learn to read and write Japanese?53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Want to learn to read and write Japanese?

Hacker News3
Si
Sincere – Read and write about feelings44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sincere – Read and write about feelings

Hacker News6
Wh
What They Read, the articles read by business visionaries48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

What They Read, the articles read by business visionaries

Hacker News3
I'
I'm too lazy to read news articles, so I made an app to help – NewsCues46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I'm too lazy to read news articles, so I made an app to help – NewsCues

Hacker News3
Se
See only the news you want to read (Including HN)67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

See only the news you want to read (Including HN)

Hacker News1
Screenbreak
Screenbreak46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turns your "read later" articles into paperbacks

Indie Hackers2education
Linkvise
Linkvise34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We will Write Quality Articles

Indie Hackers