Kinu
Indie HackersRemember the little things about your people.
I kept losing touch with people I never stopped caring about. Not from any fight, just the ordinary pull of adult life. Kinu is the private place I built to keep the little things and remember to reach out.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos76%76% 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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released55%55% 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, intuitive40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal30%30% 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, podcasting22%22% 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, revenue17%17% 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, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
looknforgroup47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find things to do with other people
Indie Hackers2b2cMotimate51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
People supporting others to get things done.
Indie Hackers1communityPrayerLife28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Remember the important things
Indie Hackerscommitment-side-projectmemcard.io36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Remember the things you learn
Indie Hackers2b2cKo
Komihåg – Learn and remember things you read60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Komihåg – Learn and remember things you read
Hacker News4Li
Little Warden, monitoring the tedious things about websites53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Little Warden, monitoring the tedious things about websites
Hacker News109Things54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
For people who make things on the web.
Indie Hackers2communicationEc
Ecks.pl, a handy little tmux wrapper in Literate Perl49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ecks.pl, a handy little tmux wrapper in Literate Perl
Hacker News12Li
Little Betsy, curating the margins of Etsy38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Little Betsy, curating the margins of Etsy
Hacker News1I
I built a way for AI to remember how you like things done23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I built a way for AI to remember how you like things done
Hacker News1