ZF

ZFS utils to mirror snapshots and apply retention

Hacker News

ZFS utils to mirror snapshots and apply retention

Share card

Actual performance

28points
11comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
80%80% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
50%50% 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
39%39% 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
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
24%24% 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
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
17%17% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Go
Go-apt-cacher and go-apt-mirror42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Go-apt-cacher and go-apt-mirror

Hacker News4
Te
Textfiles Mirror42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Textfiles Mirror

Hacker News1
Ap
Apply to MuckRock’s Thiel Fellowship51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Apply to MuckRock’s Thiel Fellowship

Hacker News5
Ne
Never Apply Again61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Never Apply Again

Hacker News5
Fundizr
Fundizr49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Apply for grants, competitions, accelerators, govt funds

Indie Hackers1$980/mogovernment
Ten Ayahs
Ten Ayahs47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Apply and internalize the Qur'an as you memorize it.

Indie Hackers1b2c
Cr
Create a full Ubuntu mirror51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Create a full Ubuntu mirror

Hacker News3
El
ElgooG (Google Mirror)47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ElgooG (Google Mirror)

Hacker News1
So
Social Mirror38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Social Mirror

Hacker News1
Ma
Make a programmable mirror53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Make a programmable mirror

Hacker News1,172