Te
Tea 2.0 for iPhone, Quantitative Tea Notes, Tea Encyclopedia
Hacker NewsTea 2.0 for iPhone, Quantitative Tea Notes, Tea Encyclopedia
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto90%90% 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: notes · Missing: mac, agents, macos75%75% 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, personal48%48% 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, podcasting44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive27%27% 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, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Cu
Curator – visual notes for iPhone48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Curator – visual notes for iPhone
Hacker News6to
totallee – cases that keep your iPhone thin52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
totallee – cases that keep your iPhone thin
Hacker News18Fi
Finimize for iPhone39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Finimize for iPhone
Hacker News7Ph
Phofinity for iPhone37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Phofinity for iPhone
Hacker News1Pa
Pantastic.co - Do Something with those iPhone Panoramas39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pantastic.co - Do Something with those iPhone Panoramas
Hacker News1In
Interesting for iPhone38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Interesting for iPhone
Hacker News1My
MyNews.is for iPhone39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MyNews.is for iPhone
Hacker News4Wi
WinkDex for iPhone39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WinkDex for iPhone
Hacker News7Cr
Crash iPhone57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crash iPhone
Hacker News2
AstroShader54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Astrophotography for iPhone
Product Hunt+2