ls
lsblk.lua: lsblk(8) for FreeBSD using Lua in base system
Hacker Newslsblk.lua: lsblk(8) for FreeBSD using Lua in base system
Share cardActual performance
6points
2comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto77%77% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: lua · Missing: https docs, excited, just released76%76% 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 HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos64%64% 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, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% 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, revenue12%12% 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, podcasting10%10% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Vi
Visualizing the transmission between you and base stations53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Visualizing the transmission between you and base stations
Hacker News75St
Sticker Base44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sticker Base
Hacker News2
Mount Everest Base Camp Trek37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Everest Base Camp Trek
Product Hunt+12Pr
Primer - The base coat for your Django app37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Primer - The base coat for your Django app
Hacker News1HT
HTML5 IndexedDB polyfill using WebSQL60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
HTML5 IndexedDB polyfill using WebSQL
Hacker News2Se
Serving Django and Twisted using HAproxy50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Serving Django and Twisted using HAproxy
Hacker News7Ba
Backbone TodoMVC with redis persistency & websockets using copacabana53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Backbone TodoMVC with redis persistency & websockets using copacabana
Hacker News1Wh
Who's using Rails?39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Who's using Rails?
Hacker News2Os
Oscilloscope over UDP using an mbed41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Oscilloscope over UDP using an mbed
Hacker News2Us
Using statistics to find if an Oculus Rift is being worn33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Using statistics to find if an Oculus Rift is being worn
Hacker News3