St

Starting Condition, an open project to answer “Who goes first?”

Hacker News

Starting Condition, an open project to answer “Who goes first?”

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos
62%62% 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 NewsMay not resonate with HN audience · Strong signals: io · 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
38%38% predicted probability of success on BetaList, based on ML models trained on real launch data.
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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
29%29% 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
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

startingcondition.com
startingcondition.com49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An open project to determine "Who goes first?"

Indie Hackers1games
Leopara
Leopara50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Makeup Lighting that Goes Where You Do

Indie Hackerscommitment-full-time
De
Dealora – What we learned starting up43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dealora – What we learned starting up

Hacker News1
Th
The Open Anatomy Project54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Open Anatomy Project

Hacker News2
Ne
Netmaker – Netmaker Goes Open Source63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Netmaker – Netmaker Goes Open Source

Hacker News85
Gi
Give an answer. Take an answer34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Give an answer. Take an answer

Hacker News5
Ve
Vectara-Answer34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vectara-Answer

Hacker News2
Aq
Aqqai – Every answer, checked before you see it43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Aqqai – Every answer, checked before you see it

Hacker News5
Upordo
Upordo38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Up or Down you will get the answer

Indie Hackers1social-media
Villiers 1898
Villiers 189872%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The British Answer to Carhartt

Indie Hackers1clothing