I
I optimized a Java log scanner from 872ms to 78ms (Zero GC)
Hacker NewsI optimized a Java log scanner from 872ms to 78ms (Zero GC)
Share cardActual performance
4points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
TrustMRRFits verified-revenue profile · Strong signals: scanner · Missing: mobile apps, ios, personal58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto50%50% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released49%49% 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, intuitive32%32% 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, revenue30%30% 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, podcasting24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos22%22% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
I
I made a zero-log, ephemeral, E2EE web chat70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a zero-log, ephemeral, E2EE web chat
Hacker News2(b
(bits) of a Libc, Optimized for Wasm69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
(bits) of a Libc, Optimized for Wasm
Hacker News78Bu
Burger log50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Burger log
Hacker News11Ac
ActiveMQ/Openwire appender for Logback. Log with reliability guarantees44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ActiveMQ/Openwire appender for Logback. Log with reliability guarantees
Hacker News3Ta
Targeted Log Levels67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Targeted Log Levels
Hacker News12Sc
Scantron – A distributed NMAP/masscan scanner57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scantron – A distributed NMAP/masscan scanner
Hacker News5Go
Go SYN Scanner – 21k Hosts in Under 1s36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Go SYN Scanner – 21k Hosts in Under 1s
Hacker News3Ba
Barcode Scanner via MMS50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Barcode Scanner via MMS
Hacker News5Beroo15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gluten and lactose scanner
Indie Hackers
Log Logger: Poop Scanner22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI bowel movement analyzer
Product Hunt+11