Pe

Perfect your English pronunciation in preparation for a public speech

Hacker News

Perfect your English pronunciation in preparation for a public speech

Share card

Actual performance

6points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
49%49% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
44%44% 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, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting
33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Al
All* Perfect Pangrams of English41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

All* Perfect Pangrams of English

Hacker News5
Joyast
Joyast56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Joyast | AI Preparation for the Youth

Indie Hackerscommitment-side-project
En
English syntax highlighter using part-of-speech tagging50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

English syntax highlighter using part-of-speech tagging

Hacker News147
Sp
Speech Meter – Improve Your English Pronunciation27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Speech Meter – Improve Your English Pronunciation

Hacker News71
My
My preparation before scaling up my product43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My preparation before scaling up my product

Hacker News1
Ho
Hoppy – Public IPv4 and IPv6 Addresses over WireGuard58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hoppy – Public IPv4 and IPv6 Addresses over WireGuard

Hacker News40
Pa
PathfinderBeacon a Public Bootstrap51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PathfinderBeacon a Public Bootstrap

Hacker News1
In
Inkling's Habitat (now public)47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Inkling's Habitat (now public)

Hacker News2
Sh
Show HN - English Cabbie in Mumbai37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Show HN - English Cabbie in Mumbai

Hacker News1
Vi
Visualizing "translations" from Ruby into English38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Visualizing "translations" from Ruby into English

Hacker News1