Al
All-in-One GTD, Time, Contacts, Habits & Zettelkasten system for Emacs
Hacker NewsAll-in-One GTD, Time, Contacts, Habits & Zettelkasten system for Emacs
Share cardActual performance
4points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto58%58% 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: mac · Missing: agents, macos, agent58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released51%51% 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, personal44%44% 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, podcasting32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive29%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, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Az
Azartiz Contacts app75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Azartiz Contacts app
Hacker News5Al
All contacts in your app46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
All contacts in your app
Hacker News1Fi
Find out who in your Google contacts was affected by the Snapchat leak56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find out who in your Google contacts was affected by the Snapchat leak
Hacker News6Ou
Our attempt at fixing Google Contacts60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Our attempt at fixing Google Contacts
Hacker News28Co
Contacts: A Microlang for Managing Contacts54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Contacts: A Microlang for Managing Contacts
Hacker News15Tr
Triangle Habits45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Triangle Habits
Hacker News3Ge
Get statistics about your texting habits with Textalyzer32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get statistics about your texting habits with Textalyzer
Hacker News1Ha
Hacking a list of Kita contacts65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hacking a list of Kita contacts
Hacker News4Ho
How I organize my contacts57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How I organize my contacts
Hacker News16
Agent70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Contacts that manage themselves
Product Hunt+8