My

My startup for book collectors

Hacker News

My startup for book collectors

Share card

Actual performance

7points
17comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
89%89% 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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
61%61% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
60%60% 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
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
26%26% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

In
Interviewed the best startup mentors I could find - wrote a book73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Interviewed the best startup mentors I could find - wrote a book

Hacker News2
Callmi
Callmi67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Book MENA’s top 1% startup CXOs & get advice over a 1:1 call

Indie Hackers1apis
I
I just published my first book, a guide to naming your startup63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I just published my first book, a guide to naming your startup

Hacker News3
My
My first startup - So Yummy54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first startup - So Yummy

Hacker News3
Re
Red Quintal - Not every startup is from the valley41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Red Quintal - Not every startup is from the valley

Hacker News1
St
Startup Competition... with explosives48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Startup Competition... with explosives

Hacker News2
My
My porn startup62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My porn startup

Hacker News21
Sh
Show HN : ThinkStartups - A Startup Unconference56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Show HN : ThinkStartups - A Startup Unconference

Hacker News26
My
My girlfriend's startup52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My girlfriend's startup

Hacker News46
st
startup to startup24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TrustMRRSoftware