OnTheGo: Location Reminder

OnTheGo: Location Reminder

Product Hunt

Location Reminder

Share card

Actual performance

2upvotes
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
74%74% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Anima
Anima59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Location based reminder system for buildings.

Indie Hackers4b2c
Po
Pokemon Sniffer – Rarest Pokemon Location56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pokemon Sniffer – Rarest Pokemon Location

Hacker News1
Lo
Location Chatroom44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Location Chatroom

Hacker News1
La
LazyScout - Zipcar for location scouting44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LazyScout - Zipcar for location scouting

Hacker News3
Suppily
Suppily32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Supplements Reminder

Indie Hackers
Todof - AI Reminder
Todof - AI Reminder45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The reminder that bullies you into productivity

Product Hunt+12
now & here
now & here62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

video on location

Indie Hackers1events
Me
Memento Mori – a simple stoic reminder38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Memento Mori – a simple stoic reminder

Hacker News5
Re
Resolutions – Get a email reminder about your resolutions46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Resolutions – Get a email reminder about your resolutions

Hacker News1
A
A daily reminder to give more compliments and thanks36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A daily reminder to give more compliments and thanks

Hacker News1