Cr

Create a DMG for your macOS app in seconds

Hacker News

Create a DMG for your macOS app in seconds

Share card

Actual performance

6points
3comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos · Missing: agents, agent, cursor
85%85% 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
63%63% 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
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
36%36% 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
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
18%18% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Sp
Splendidis – a macOS app to create attractive snapshots28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Splendidis – a macOS app to create attractive snapshots

Hacker News1
PixelSnap
PixelSnap60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

macOS app for measuring everything on screen

Indie Hackerscommitment-side-project
Da
Datasette Desktop, macOS App for SQLite and CSVs71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Datasette Desktop, macOS App for SQLite and CSVs

Hacker News22
Serene
Serene37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The macOS app for laser-focus

Indie Hackerscommitment-full-time
ma
macOS app to help you blink more58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

macOS app to help you blink more

Hacker News4
Un
Unclack – a macOS app that mutes your microphone while you type53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Unclack – a macOS app that mutes your microphone while you type

Hacker News279
I
I made a macOS app to save your apps for later56%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 macOS app to save your apps for later

Hacker News6
Ma
MacGlow – macOS app to sync brightness across Mac and all Monitors59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MacGlow – macOS app to sync brightness across Mac and all Monitors

Hacker News7
Co
Copilot Money launched their macOS app48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Copilot Money launched their macOS app

Hacker News4
Li
Little Faker – Simple Lorem Ipsum macOS App51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Little Faker – Simple Lorem Ipsum macOS App

Hacker News4