Linksaber

Linksaber

Indie Hackers

Weekly email digest of your read-later links

I was tired of having 100+ of unread links on Pocket, or on any other platform really. I only wanted to interact with my email, without having to check other apps.

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews
58%58% predicted probability of success on AppSumo, 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: apps, email · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal
54%54% 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
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Re
Read later links as weekly email52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Read later links as weekly email

Hacker News6
Re
Remynd: a weekly digest of links you want to revisit42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Remynd: a weekly digest of links you want to revisit

Hacker News2
We
Weekly digest of HN, categorized by AI35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Weekly digest of HN, categorized by AI

Hacker News2
Ho
Hotsuto – Burner Email for Aggregating Newsletters with a Weekly Digest49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hotsuto – Burner Email for Aggregating Newsletters with a Weekly Digest

Hacker News4
Ephemerata
Ephemerata21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A weekly-ish digest of links, ideas, learnings, and sounds.

Indie Hackers1content
Cr
Create your weekly email digest from your bookmarks52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Create your weekly email digest from your bookmarks

Hacker News3
Announcerr
Announcerr47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Weekly email digest of interesting website and app launches

Product Hunt+3
Li
Likes|Digest – Weekly email digest+searchable list of tweets you liked53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Likes|Digest – Weekly email digest+searchable list of tweets you liked

Hacker News2
Gr
GraphQL Tweetletter – Weekly digest of most interesting GraphQL Tweets57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GraphQL Tweetletter – Weekly digest of most interesting GraphQL Tweets

Hacker News5
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