MA

MARC, a clean mailing list archive

Hacker News

MARC, a clean mailing list archive

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
88%88% 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 NewsMay not resonate with HN audience · 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
38%38% 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
35%35% 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
34%34% 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
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
14%14% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

I
I built a clean and minimal mailing list archive51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a clean and minimal mailing list archive

Hacker News2
My
My Mercurial Archive55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Mercurial Archive

Hacker News2
Pr
Prodhunt – Producthunt Archive52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Prodhunt – Producthunt Archive

Hacker News1
Gi
Gist Archive46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gist Archive

Hacker News2
Ma
MajinBook = Anna's Archive and Goodreads55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MajinBook = Anna's Archive and Goodreads

Hacker News7
An
An annotated archive of S-1 filings, with hindsight55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An annotated archive of S-1 filings, with hindsight

Hacker News2
Prodhunt
Prodhunt31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Producthunt Archive

Indie Hackers6$21/moadvertising
Li
List and selectively download files from ZIP archive48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

List and selectively download files from ZIP archive

Hacker News2
A
A clean mailing list browser, focussed on typography and readability47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A clean mailing list browser, focussed on typography and readability

Hacker News3
Ar
Archive of Web62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Archive of Web

Hacker News2