De
Describe a research topic, get a daily-updated ArXiv/S2 dataset
Hacker NewsDescribe a research topic, get a daily-updated ArXiv/S2 dataset
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto54%54% predicted probability of success on BetaList, based on ML models trained on real launch data.
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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos33%33% 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, revenue24%24% 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, podcasting10%10% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Topic Mojo20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Topic Research made easy.
Indie Hackerscommitment-full-timeA)
A)I updated my vimrc49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A)I updated my vimrc
Hacker News5Up
Updated Angular-ChartJS to supported re-sizing.37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Updated Angular-ChartJS to supported re-sizing.
Hacker News2Welfact44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Donating, Updated.
Indie Hackers1b2cSe
SearchTrack – A home for your research, around any topic50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SearchTrack – A home for your research, around any topic
Hacker News8Di
DidSayThat – What has politician X said about topic Y?54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
DidSayThat – What has politician X said about topic Y?
Hacker News8A
A PureScript Implementation of LDA Topic Modeling42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A PureScript Implementation of LDA Topic Modeling
Hacker News4To
Topic Modeling with Bert44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Topic Modeling with Bert
Hacker News2BE
BERTopic – Topic Modeling with Bert44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
BERTopic – Topic Modeling with Bert
Hacker News2To
Topic52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Topic
Hacker News56