Gl

Global Pomodoro every 30 minutes

Hacker News

Global Pomodoro every 30 minutes

I love using the Pomodoro technique with my friends. We each share what we want to accomplish in 25 minutes, work together, and then take a 5-minute break to discuss our progress. Recently, I had an idea to take this concept to the next level. If you think about it, 25 + 5 = 30 minutes - the perfect amount of time for a global Pomodoro session to start every half hour. After several evenings of brainstorming and collaboration, I'm excited to introduce Pomodorr.io. This platform allows individuals from around the world to come together and work on their projects during these global Pomodoro sessions. So, meet Pomodorr.io. Every 30 minutes, a global pomodoro kicks off in the world. There is a general chat to feel the shoulder of remote colleagues in terms of efficiency. You can meet me and my friends there almost every day.

Share card

Actual performance

56points
19comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
70%70% 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.
Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
33%33% 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
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat, introduce · Missing: web3, crypto, cryptocurrency
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Pomoria
Pomoria24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

For those who have outgrown ordinary Pomodoro.

Indie Hackers1b2c
Pogether
Pogether34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We can pomodoro together

Product Hunt+185Productivity
Pi
Pipy 0.30.066%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pipy 0.30.0

Hacker News7
Po
Pokémon Global Offensive38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pokémon Global Offensive

Hacker News3
Co
Codevid-19, a Global and Distributed Covid-19 Hackathon46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Codevid-19, a Global and Distributed Covid-19 Hackathon

Hacker News9
Gl
Global Terrorism Catalogue – Terrorism Incidents Since 196844%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Global Terrorism Catalogue – Terrorism Incidents Since 1968

Hacker News2
Gl
Global phonebook37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Global phonebook

Hacker News3
Th
The Global Literary Canon51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Global Literary Canon

Hacker News4
Je
Jekyll Pygments/Redcarpet Global Configs41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Jekyll Pygments/Redcarpet Global Configs

Hacker News4
Me
Meteoro – Pomodoro App on Meteor66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Meteoro – Pomodoro App on Meteor

Hacker News7