GetUUID
Effortless UUID, ULID & NanoID generation
Existing tools are often bloated with unnecessary features, or limited to only one type of ID format. GetUUID solves these problems with a clean, minimalist approach puts the focus on generating IDs quickly and efficient
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
La
Lazysodium – Cryptography made effortless39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lazysodium – Cryptography made effortless
Ne
Next generation configuration mgmt51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Next generation configuration mgmt
St
Stylistic Rhyme-Bound Poetry Generation35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Stylistic Rhyme-Bound Poetry Generation
Ad
Adversarial Generation of Extreme Samples62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Adversarial Generation of Extreme Samples
Ex
ExGAN-Adversarial Generation of Extreme Samples62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ExGAN-Adversarial Generation of Extreme Samples
Ko
Komo (Retrieval-augmented dialogue generation)60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Komo (Retrieval-augmented dialogue generation)
Pe
Perspex – a next generation WPF?48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Perspex – a next generation WPF?
Ja
JavOSize – The next generation of java profiler55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
JavOSize – The next generation of java profiler
HeyDoc39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WebMD for the next generation
Keikku46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The next generation Stethoscope