Mi
MicroSCOPE – identify ransomware statically with heuristics
Hacker NewsMicroSCOPE – identify ransomware statically with heuristics
Share cardActual performance
7points
3comments
Made the 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos29%29% 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
Id
Identify unused columns in your database59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Identify unused columns in your database
Hacker News1
ScentSnap30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scan & Identify Any Scent
Product Hunt+10Fl
FlakyBot – Identify and suppress flaky tests45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FlakyBot – Identify and suppress flaky tests
Hacker News27A
A tool to de-identify using Stable Diffusion55%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 de-identify using Stable Diffusion
Hacker News6Sentiment Analysis33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Identify The Sentiment Behind Any Text
Indie HackersPi
Pindex: A tool to help you identify obfuscated ICs50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pindex: A tool to help you identify obfuscated ICs
Hacker News3Ge
Gem Badge - the way to identify RubyGems on Github56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gem Badge - the way to identify RubyGems on Github
Hacker News2Id
Identify a spoken language using a CNN62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Identify a spoken language using a CNN
Hacker News29Whoisvisiting50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Identify Businesses Visiting Your Website
Indie Hackersemployees-10-plusRe
Researchers identify molecule that can kill cancer cells59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Researchers identify molecule that can kill cancer cells
Hacker News4