VM
VMXRay - Explore VMDKs in the browser (JSLinux + sleuthkit + HTML5)
Hacker NewsVMXRay - Explore VMDKs in the browser (JSLinux + sleuthkit + HTML5)
Share cardActual performance
14points
3comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto63%63% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released63%63% 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, intuitive43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos41%41% 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting19%19% 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, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ex
Explore IOCCC 2020 entries in the browser via CheerpX (x86-to-WASM JIT)53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Explore IOCCC 2020 entries in the browser via CheerpX (x86-to-WASM JIT)
Hacker News5Ex
Explore what the browser exposes about you53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Explore what the browser exposes about you
Hacker News275Ex
Explore EBNF Grammars Interactively59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Explore EBNF Grammars Interactively
Hacker News6Ex
ExploreTrees.SG – Explore trees in Singapore60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ExploreTrees.SG – Explore trees in Singapore
Hacker News1Ex
Explore Julia Sets33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Explore Julia Sets
Hacker News10Ex
Explore Our Moon55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Explore Our Moon
Hacker News5Ex
Explore every Winter Olympic medal since 1924 with D349%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Explore every Winter Olympic medal since 1924 with D3
Hacker News1leather flogger36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Explore Leather Whip for whip cracking. Floggers,
Indie Hackersvertical-e-commerceEx
Explore Borges' Library of Babel from your browser54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Explore Borges' Library of Babel from your browser
Hacker News9Ex
Explore Pokemon Emerald inside your browser61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Explore Pokemon Emerald inside your browser
Hacker News6