In

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

Hacker News

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

A secure Java agent for dependency management with inline comments - like uv for Python. Zero config, automatic downloads from Maven Central, local JARs, and URLs with checksum verification. Just add // @dep comments to your .java files

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agent · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
48%48% 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, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
38%38% 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
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
32%32% 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, revenue
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Yc
Ycommentator - HN front page with Slashdot-like inline comments66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ycommentator - HN front page with Slashdot-like inline comments

Hacker News5
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
Wh
WhisperPix – Add comments to photos with your voice36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WhisperPix – Add comments to photos with your voice

Hacker News2
Ad
Add GitHub-like backreferences to Trello comments65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Add GitHub-like backreferences to Trello comments

Hacker News5
Ad
Add local comments about HN users55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Add local comments about HN users

Hacker News4
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