Fake or Fluff?
Product HuntAn extension to show if content or video is fake or fluff
Share cardActual performance
5upvotes
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto69%69% 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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue27%27% 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, podcasting22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Is
Is this headline fake or not?64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Is this headline fake or not?
Hacker News15Th
The most fake Commodore 6461%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The most fake Commodore 64
Hacker News5Fa
Fake BSOD64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fake BSOD
Hacker News1Fa
FakeSnap - create fake snapchats50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FakeSnap - create fake snapchats
Hacker News2Ch
Check if the yield curve is inverted, without the fluff46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Check if the yield curve is inverted, without the fluff
Hacker News3De
Desational – Removing Sensation, Fluff and Nonsense from News56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Desational – Removing Sensation, Fluff and Nonsense from News
Hacker News2
Fake Excuse46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Because sometimes... you just can’t, so use Fake Excuse
Product Hunt+2Pl
Plait.py – a fake data modeler49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Plait.py – a fake data modeler
Hacker News85Gl
Glassdoor without fake data: KnowYourWorth64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Glassdoor without fake data: KnowYourWorth
Hacker News11No
No Fluff Just Fluff Skills Tracker29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
No Fluff Just Fluff Skills Tracker
Hacker News1