10
100K sentences mined from Wikipedia to help non-native English learners
Hacker News100K sentences mined from Wikipedia to help non-native English learners
Share cardActual performance
225points
88comments
Made the 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos56%56% 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, personal43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto20%20% predicted probability of success on BetaList, 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.
Correct prediction on native model
Similar products
Ch
Chat Correct (for English learners)47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Chat Correct (for English learners)
Hacker News2Na
Nativish, an app to help language learners61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Nativish, an app to help language learners
Hacker News6En
English Writing for Advanced English Learners49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
English Writing for Advanced English Learners
Hacker News1Ch
Chatroom with GPT-4 assistant for English learners60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Chatroom with GPT-4 assistant for English learners
Hacker News1RealVoice53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Helping English learners get native listening skills
Indie Hackers1educationEn
English Wikipedia Clickstream Visualization59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
English Wikipedia Clickstream Visualization
Hacker News3Ho
How to get around the Wikipedia blackout (if you have to)41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How to get around the Wikipedia blackout (if you have to)
Hacker News1Cr
Crowdsourced incremental Wikipedia improvements59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crowdsourced incremental Wikipedia improvements
Hacker News4wi
wikiUp - Wikipedia in Tooltips59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
wikiUp - Wikipedia in Tooltips
Hacker News26Le
Legible Wikipedia59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Legible Wikipedia
Hacker News2