Gr
GraphQL Tweetletter – Weekly digest of most interesting GraphQL Tweets
Hacker NewsGraphQL Tweetletter – Weekly digest of most interesting GraphQL Tweets
Share cardActual performance
5points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto49%49% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive33%33% 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, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos18%18% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting15%15% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
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 News2We
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 News2Tw
Twitter Digest | Keep the tweets you care about ...33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Twitter Digest | Keep the tweets you care about ...
Hacker News2We
Weekly Machine Learning Digest49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Weekly Machine Learning Digest
Hacker News1Ho
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 News4Wh
What Happened Last Week – Weekly News Digest50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What Happened Last Week – Weekly News Digest
Hacker News16Re
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 News2Cr
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 News3Linksaber34%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 your read-later links
Indie Hackerscommitment-side-projectFi
Find Haiku in Your Tweets37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find Haiku in Your Tweets
Hacker News1