Sw
Sweesh Wants to Be the FBI for Startups
Hacker NewsSweesh Wants to Be the FBI for Startups
Hey founders, A company that just graduated from the recent YC startup school wants to be the FBI for companies. We will be helping companies to do background checks, profiling and analysis of their competitors or Bay other company or individual. You can get early access now to the startup https://www.sweesh.us There is a free Trail where you can request for one free profiling of a person or company. Save your spot now sweesh.us
Share cardActual performance
2points
2comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting67%67% predicted probability of success on Indie Hackers, 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 released53%53% 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, macos36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
WW
WWBR – Who Wants to Be Relocated? (July 2019)45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WWBR – Who Wants to Be Relocated? (July 2019)
Hacker News17dialsDone15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Repetitive Calls Nobody Wants. Now Nobody Has To.
Indie Hackers#1
#10SecondPitch (Techcrunch Disrupt startups)53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
#10SecondPitch (Techcrunch Disrupt startups)
Hacker News1Dr
Drunk Startups53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Drunk Startups
Hacker News1Qu
Questmate for Startups53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Questmate for Startups
Hacker News1Ex
ExpertsVault - A Thinktank For Startups53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ExpertsVault - A Thinktank For Startups
Hacker News2A
A Graveyard of Startups57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Graveyard of Startups
Hacker News2Proton26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MVPs for Startups.
Indie Hackerscommitment-full-timeStarterCircle60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Where startups begin.
Indie Hackers1communicationStartups.fyi33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Startups
Indie Hackers