Zi
Zig Xor Filters (“Faster and Smaller Than Bloom Filters”)
Zig Xor Filters (“Faster and Smaller Than Bloom Filters”)
Share cardActual performance
4points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →84%84% predicted probability of success on BetaList, based on ML models trained on real launch data.
82%82% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
PD
PDD – Probabilistic De-Duplication of Streams with Bloom Filters64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PDD – Probabilistic De-Duplication of Streams with Bloom Filters
Sh
Shared Bloom Filters65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Shared Bloom Filters
Fi
Filters for Eloquent61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Filters for Eloquent
St
Stable Diffusion Without Filters68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Stable Diffusion Without Filters
Ve
Vectorizing IIR Filters, What Are You Recursing?61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Vectorizing IIR Filters, What Are You Recursing?
De
Decruft your Rails filters with FilterDecrufter53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Decruft your Rails filters with FilterDecrufter
Pu
Public transportation signage based on bloom filters (rough mockup)73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Public transportation signage based on bloom filters (rough mockup)
Cu
Cuckoo Filter Implementation in Go, Better Than Bloom Filters60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cuckoo Filter Implementation in Go, Better Than Bloom Filters
In
InBloom – Portable Bloom Filters in Java, Python and Go54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
InBloom – Portable Bloom Filters in Java, Python and Go
Go
Go Package Implementing Age-Partitioned Bloom Filters (APBF)39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Go Package Implementing Age-Partitioned Bloom Filters (APBF)