Si

Sicksync, a one-way file-system mirror that's incredibly quick

Hacker News

Sicksync, a one-way file-system mirror that's incredibly quick

Share card

Actual performance

6points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
43%43% 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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
42%42% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
32%32% 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
29%29% 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
20%20% 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
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct 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
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
Yo
Yopp – A very quick way to transfer a file from phone to computer49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Yopp – A very quick way to transfer a file from phone to computer

Hacker News62
Sc
Sci-Hub Mirror38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sci-Hub Mirror

Hacker News1
Mo
Morgan – PyPI Mirror for Restricted/Offline Environments49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Morgan – PyPI Mirror for Restricted/Offline Environments

Hacker News77
LinkedinScope
LinkedinScope25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LinkedInScope: the AI mirror your ego didn’t ask for

Indie Hackers1ai