Se
SearchTrack – A home for your research, around any topic
Hacker NewsSearchTrack – A home for your research, around any topic
Share cardActual performance
8points
1comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto71%71% 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 released50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal33%33% predicted probability of success on TrustMRR, 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting9%9% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct 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-timeDi
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 News56A
A tool to centralize Kafka topic configuration62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A tool to centralize Kafka topic configuration
Hacker News4De
Describe a research topic, get a daily-updated ArXiv/S2 dataset51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Describe a research topic, get a daily-updated ArXiv/S2 dataset
Hacker News2
Postpace
Automate your hours of topic research in two minutes
BetaListTopic Breakdown6%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Breakdown any topic into simpler subtopics
Indie Hackers1ai