Ta
Tabulate statuses from a Facebook Page for easy statistical analysis
Hacker NewsTabulate statuses from a Facebook Page for easy statistical analysis
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto74%74% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal44%44% 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 released42%42% 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 · Missing: plus, platform, intuitive33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos26%26% 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, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
AdTargeting79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Facebook Interest Targeting Tool and Facebook page analysis
Indie Hackers3$3,600/moadvertisingOu
Our approach to promoting our Facebook page53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Our approach to promoting our Facebook page
Hacker News1Fa
Facebook Page Unliker44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Facebook Page Unliker
Hacker News82Yu
Yubaba – orchestrated page transitions made easy48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Yubaba – orchestrated page transitions made easy
Hacker News4WH
WHOIS for Facebook44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WHOIS for Facebook
Hacker News1Fa
Facebook + Moustaches = Facetache44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Facebook + Moustaches = Facetache
Hacker News10Fa
Facebook stockvalue (prettified)44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Facebook stockvalue (prettified)
Hacker News26Bo
BoxenBase - Facebook for neckbeards. Battlestations, rigs, etc.44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
BoxenBase - Facebook for neckbeards. Battlestations, rigs, etc.
Hacker News1ch
checkins from Facebook44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
checkins from Facebook
Hacker News2
Facebook41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I founded facebook in july 2018
TrustMRRSocial Media