Ar
ArXiv Trends – track keywords in ArXiv papers over time
Hacker NewsArXiv Trends – track keywords in ArXiv papers over time
Share cardActual performance
10points
3comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto44%44% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting21%21% 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, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Fi
Fixing pinboard.in keywords to be displayed correctly in NewsBlur41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fixing pinboard.in keywords to be displayed correctly in NewsBlur
Hacker News1Th
The “tl;dr” of Recent Transformer Papers58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The “tl;dr” of Recent Transformer Papers
Hacker News5Th
The Federalist Papers, typeset as the 1787 newspapers they ran in67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Federalist Papers, typeset as the 1787 newspapers they ran in
Hacker News58Ba
Back Me Up – Find papers that back your argument63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Back Me Up – Find papers that back your argument
Hacker News2Co
Covid-19 Trends by Glimpse40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Covid-19 Trends by Glimpse
Hacker News2Pr
Programmer Trends49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Programmer Trends
Hacker News4OOIR31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Trends in the sciences
Indie Hackers1$50/mobooksPo
Positron – Track your website's search position for any keywords44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Positron – Track your website's search position for any keywords
Hacker News2
PagePeek59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your AI Professor for drafting and evaluating papers in secs
Product Hunt+6Uptrend Hunter35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Amazon search trends: See what keywords are rising
Indie Hackers1b2b