I
I wrote an example based guide to teach Awk. Would love feedback
Hacker NewsI wrote an example based guide to teach Awk. Would love feedback
Share cardActual performance
3points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released52%52% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive38%38% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal21%21% predicted probability of success on TrustMRR, 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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Te
Teach Us What You Love69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Teach Us What You Love
Hacker News1An
An Interactive Guide to Teach Derivatives and Backpropagation67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An Interactive Guide to Teach Derivatives and Backpropagation
Hacker News119I
I wrote a kid's game to teach my son alphabets. Feedback appreciated47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I wrote a kid's game to teach my son alphabets. Feedback appreciated
Hacker News2Zi
Ziplink has launched and I would love your feedback35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ziplink has launched and I would love your feedback
Hacker News2Sa
San Francisco NYE 2013 Guide (Feedback Please)56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
San Francisco NYE 2013 Guide (Feedback Please)
Hacker News1So
SolvedTeachYourselfC- Herbert Schildt – Teach Yourself C – Solved52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SolvedTeachYourselfC- Herbert Schildt – Teach Yourself C – Solved
Hacker News3Ou
Our Vancouver based web agency just launched. We'd love your feedback.29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Our Vancouver based web agency just launched. We'd love your feedback.
Hacker News23Te
Teach Yourself To Code62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Teach Yourself To Code
Hacker News102Te
Teach Yourself To Code62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Teach Yourself To Code
Hacker News18Ne
New LeadBoxer website (we'd love feedback)35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
New LeadBoxer website (we'd love feedback)
Hacker News2