Re

Review my App (Android)- Sqardius

Hacker News

Review my App (Android)- Sqardius

Hi all, I just launched the project I was working on lately, and I need advice on everything, and especially on how to promote it and spread the word. Sqardius allows you to share and view pictures around you, and save them for others who will be there later. Here the link: http://www.sqardius.net

Share card

Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
66%66% predicted probability of success on Indie Hackers, 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 · Missing: mac, agents, macos
52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Ap
App in Review49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

App in Review

Hacker News17
An
An android brainteaser app54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An android brainteaser app

Hacker News1
RP
RPi PiZeroW first impressions and review34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RPi PiZeroW first impressions and review

Hacker News2
My
My decade in review (2011-2021)49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My decade in review (2011-2021)

Hacker News1
Re
Review my webapp please37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Review my webapp please

Hacker News1
Re
Review: Autodesk 123 Sculpt+34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Review: Autodesk 123 Sculpt+

Hacker News3
Re
Review Android App - AirStream - Everything is connected23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Review Android App - AirStream - Everything is connected

Hacker News1
GB
GBX St. George, the forging of a legend, a medieval Android gamebook32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GBX St. George, the forging of a legend, a medieval Android gamebook

Hacker News3
Bl
Bloody Knuckles for Android32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bloody Knuckles for Android

Hacker News1
Ca
CategorizeContacts util for Android44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CategorizeContacts util for Android

Hacker News4