Ef
Actual performance
6points
4comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto80%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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released51%51% 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 · Strong signals: efficient · Missing: plus, platform, intuitive49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting34%34% 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, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
GP
GPT-4 as a Data Scientist48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GPT-4 as a Data Scientist
Hacker News2Re
Recursively detects and decodes multiple formats in nested data31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Recursively detects and decodes multiple formats in nested data
Hacker News2Si
SirixDB – versioning through efficient snapshotting58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SirixDB – versioning through efficient snapshotting
Hacker News55Se
SeqALib – Efficient Sequence Alignment from Bioinformatics42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SeqALib – Efficient Sequence Alignment from Bioinformatics
Hacker News1Il
Illustrating the Reformer: The Efficient Transformer57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Illustrating the Reformer: The Efficient Transformer
Hacker News4Mo
Mojo Implementation of HyperLogLog for Efficient Cardinality Estimation42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mojo Implementation of HyperLogLog for Efficient Cardinality Estimation
Hacker News1Sh
Shasplit – Efficient backups by SHA-based data splitting58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Shasplit – Efficient backups by SHA-based data splitting
Hacker News1Do
Dogma: a metalanguage for describing data formats in documentation53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dogma: a metalanguage for describing data formats in documentation
Hacker News3Ef
Efficient data loading using zeta distributions52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Efficient data loading using zeta distributions
Hacker News34Wi
Will data apps into existence with GPT-356%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Will data apps into existence with GPT-3
Hacker News4