Pristine

Pristine

Product Hunt

Reader for Chromium browsers

Share card

Actual performance

1upvotes
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
78%78% 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
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
39%39% predicted probability of success on Product Hunt, 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
36%36% 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
35%35% predicted probability of success on AppSumo, 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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

pa
pairing browsers43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

pairing browsers

Hacker News1
Ev
Everyone is fighting over browsers, so we built something beyond48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Everyone is fighting over browsers, so we built something beyond

Hacker News3
A
A brutalist HN reader60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A brutalist HN reader

Hacker News1
I
I made a reader for HN with Angular48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a reader for HN with Angular

Hacker News6
Ec
Economist Espresso Reader57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Economist Espresso Reader

Hacker News1
RF
RFC Reader57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RFC Reader

Hacker News1
A
A Reader for Programmers50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Reader for Programmers

Hacker News1
Di
Dirty Reader54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dirty Reader

Hacker News2
No
Normalize browsers' default style54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Normalize browsers' default style

Hacker News2
Br
BroadcastChannel for old browsers, new browsers, WebWorkers and NodeJs30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BroadcastChannel for old browsers, new browsers, WebWorkers and NodeJs

Hacker News2