Shareable Tweets

Shareable Tweets

Indie Hackers

Facebook reaction bar on Twitter.com & more

Billions of Tweets fail to reach a global scale and worldwide audience of engaged people.

Share card

Actual performance

1followers
$100MRR/mo
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
64%64% 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, io · Missing: https docs, excited, just released
41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
32%32% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
30%30% 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
29%29% 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
16%16% 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
14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Sh
Shareable Tweets39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shareable Tweets

Hacker News1
Sh
Shareable Tweets39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shareable Tweets

Hacker News1
Mom Twitter
Mom Twitter49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get a text when someone tweets.

Indie Hackerscommitment-full-time
sc
scoringtweets – A website for scoring tweets on Twitter36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

scoringtweets – A website for scoring tweets on Twitter

Hacker News1
Yo
Your Assistant for Twitter and Facebook44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your Assistant for Twitter and Facebook

Hacker News1
A
A bookmarklet to auto reload fresh tweets on Twitter.com37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A bookmarklet to auto reload fresh tweets on Twitter.com

Hacker News1
Co
Covid-19 news and tweets from 100s of scientists on Twitter52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Covid-19 news and tweets from 100s of scientists on Twitter

Hacker News4
Tw
Tweef, Instantly share individual tweets to Facebook43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tweef, Instantly share individual tweets to Facebook

Hacker News2
A
A Twitter bot that tweets at exponentially increasing intervals35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Twitter bot that tweets at exponentially increasing intervals

Hacker News5
Fa
Facebook Sharing from Twitter46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Facebook Sharing from Twitter

Hacker News1