Watchgoose

Watchgoose

TrustMRR

Watchgoose watches your cron jobs, backups, queues, and scripts. They ping us when they run by HTTP or email. We alert you the second one goes late or down - before your customers notice. Owned and ho

Watchgoose watches your cron jobs, backups, queues, and scripts. They ping us when they run by HTTP or email. We alert you the second one goes late or down - before your customers notice. Owned and hosted in Europe, supporting Open Source with donations program.

Share card

Actual performance

Did not reach leaderboard

Traction signals

Domain Rating14

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: email, open · Missing: mac, agents, macos
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
53%53% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
38%38% 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, revenue
28%28% 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
23%23% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Co
Compile Erlang to WASM and run as HTTP/incoming-handler72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Compile Erlang to WASM and run as HTTP/incoming-handler

Hacker News32
Alertics
Alertics28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Monitors your sites and alert you when something goes wrong

Indie Hackers2analytics
NotifyCore
NotifyCore39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Track and Monitor Scripts and Jobs with Simple HTTP Requests

Indie Hackers3analytics
Be
Bebo – run Clojure scripts on Deno60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bebo – run Clojure scripts on Deno

Hacker News48
Freelancelot
Freelancelot4%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Instant Upwork Jobs Alert

Indie Hackers
I
I wrote a simple HTTP Watchdog that sends you an Email on Timeout51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I wrote a simple HTTP Watchdog that sends you an Email on Timeout

Hacker News1
Ni
Nigit – Expose Shell Scripts as HTTP API69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Nigit – Expose Shell Scripts as HTTP API

Hacker News19
Ha
Handled 6.87M HTTP Req/sec with Rapidoid on Top of Java NIO56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Handled 6.87M HTTP Req/sec with Rapidoid on Top of Java NIO

Hacker News7
Li
Lint for HTTP63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lint for HTTP

Hacker News138
Bo
Bowtie, a (hopefully) idiomatic HTTP middleware for Go51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bowtie, a (hopefully) idiomatic HTTP middleware for Go

Hacker News7