St

StandupMail – Email-based productivity logging

Hacker News

StandupMail – Email-based productivity logging

Share card

Actual performance

5points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: email · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
64%64% 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 released
57%57% 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, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% 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, podcasting
15%15% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Ng
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 News6
We
We built a ClickHouse-based logging service88%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We built a ClickHouse-based logging service

Hacker News192
Ce
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 News2
Bl
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 News4
Dj
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 News5
dl
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 News1
wi
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 News1
Cr
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
da
dazl – the Go logging framework of frameworks56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

dazl – the Go logging framework of frameworks

Hacker News9
St
Structured Logging Wrapper for SLF4J48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Structured Logging Wrapper for SLF4J

Hacker News4