Yc

Ycommentator - HN front page with Slashdot-like inline comments

Hacker News

Ycommentator - HN front page with Slashdot-like inline comments

The comments on HN are often at least as good (if not better!) than the links. I built this app to have a way to quickly read through all the top comments on front page stories. I hope some of you find it useful too.

Share card

Actual performance

5points
3comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
67%67% 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, macos
61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
42%42% 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, podcasting
22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%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, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

In
Inline dependency management for Java – add // dep comments and go38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Inline dependency management for Java – add // dep comments and go

Hacker News2
Commfuze
Commfuze25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Add comments section on every page

Indie Hackers1communication
Mi
MinimalHN Front page + top level comments only61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MinimalHN Front page + top level comments only

Hacker News2
Re
Reply to Hacker News comments inline, without leaving the page64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reply to Hacker News comments inline, without leaving the page

Hacker News24
Co
Comntr – a widget that adds comments to your page45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Comntr – a widget that adds comments to your page

Hacker News84
Em
Embeddable hackernews comments69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Embeddable hackernews comments

Hacker News3
Le
Lectio, contextualized comments for lectures75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lectio, contextualized comments for lectures

Hacker News21
Co
Collapse HN Comments54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collapse HN Comments

Hacker News141
Fl
Flocking comments63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Flocking comments

Hacker News3
Co
Collapsible comments for HN (Greasemonkey)66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collapsible comments for HN (Greasemonkey)

Hacker News1