Fo

Focus- Make Today Count

Hacker News

Focus- Make Today Count

A friend's latest project.

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
69%69% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
47%47% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
28%28% 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
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
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Ma
Make Every 'Thank You' Count41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Make Every 'Thank You' Count

Hacker News1
Fo
Focus Today38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TrustMRREntertainment
Supernormal
Supernormal66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Make every meeting count

Indie Hackerscommitment-full-time
GP
GPTs Can't Count33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GPTs Can't Count

Hacker News1
Th
The Sochi 2014 medal count ordered by population46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Sochi 2014 medal count ordered by population

Hacker News10
Nu
NumRace - Can You Count From 1 To 9?46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

NumRace - Can You Count From 1 To 9?

Hacker News11
Growrilla
Growrilla65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Count Anything and Everything

Indie Hackers1$9/mob2c
Dayvid
Dayvid75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Make everyday count

Indie Hackerscommitment-full-time
Po
Postmates is delivering happiness today in SF74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Postmates is delivering happiness today in SF

Hacker News32
cultures.today
cultures.today24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TrustMRRContent Creation