Actual performance
132upvotes
6comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: apis · Missing: mac, agents, macos76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto72%72% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive27%27% 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, revenue19%19% 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, podcasting17%17% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Tr
TrackLLM: Are the LLM APIs you rely on stable?48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TrackLLM: Are the LLM APIs you rely on stable?
Hacker News1Ng
Nginx logging to ZeroMQ74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Nginx logging to ZeroMQ
Hacker News6LL
LLM Logger – open-source logging for LLM calls45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LLM Logger – open-source logging for LLM calls
Hacker News2Ce
Centralized Logging Tool52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Centralized Logging Tool
Hacker News2Su
Superopenai – accelerate LLM development with logging and caching44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Superopenai – accelerate LLM development with logging and caching
Hacker News4Bl
Blindsight, a Scala Logging API58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Blindsight, a Scala Logging API
Hacker News4Dj
Django Easy Logging48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Django Easy Logging
Hacker News5dl
dlog – A delegating logging library for Golang44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
dlog – A delegating logging library for Golang
Hacker News1wi
willie-lumberjack, A logging module for Willie IRC bot.56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
willie-lumberjack, A logging module for Willie IRC bot.
Hacker News1Cr
Crontab monitoring and logging42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crontab monitoring and logging
Hacker News3