Wh

What might I create today

Hacker News

What might I create today

I created this tool as an experiment. So I am still working on how this should be presented. Basically, it is a tool that throws out ideas for content marketers in particular and marketers, startup guys in general. Hope you like it. Feedback - good or bad is welcome here is the link http://www.mrsocial.me/todo/

Share card

Actual performance

4points
5comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
48%48% 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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting
36%36% 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
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
32%32% 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
11%11% 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

To
Today I Learned61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Today I Learned

Hacker News2
Th
The Zite of Today57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Zite of Today

Hacker News2
Ex
Exitvim.today57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Exitvim.today

Hacker News3
Sh
Shieldon 2.0 Released Today55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shieldon 2.0 Released Today

Hacker News11
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
To
Today I Learned XYZ58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Today I Learned XYZ

Hacker News1
Nu
NukeCast – If it happened today, where would the fallout go57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

NukeCast – If it happened today, where would the fallout go

Hacker News18
To
Today Is...57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Today Is...

Hacker News2
To
Today We Learned61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Today We Learned

Hacker News16
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