Fr

Franc – Detect natural languages

Hacker News

Franc – Detect natural languages

Share card

Actual performance

51points
60comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
93%93% 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
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% 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
29%29% 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
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

De
Detect Adblock54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Detect Adblock

Hacker News6
Ab
Abusing RFC2616 section 8.1.4 to detect adblockers59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Abusing RFC2616 section 8.1.4 to detect adblockers

Hacker News7
An
Antimander – How to Detect Gerrymandering with Evolutionary Algorithms53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Antimander – How to Detect Gerrymandering with Evolutionary Algorithms

Hacker News2
de
de(ep)tangle, method to detect overlapping splines36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

de(ep)tangle, method to detect overlapping splines

Hacker News2
Ca
Catchr – Secretly Detect Intrusions54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Catchr – Secretly Detect Intrusions

Hacker News2
Panda.tn
Panda.tn47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Handmade Natural Cosmetics

Indie Hackers1$20,583/moe-commerce
Qu
Quine in 0b100M Languages48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Quine in 0b100M Languages

Hacker News1
Ta
TabNine, an autocompleter for all languages48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TabNine, an autocompleter for all languages

Hacker News607
Ca
Cardinal - Memorize vocab and phrases in 7 languages41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cardinal - Memorize vocab and phrases in 7 languages

Hacker News2
Py
Py2many – Transpile Python3 to 7 languages48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Py2many – Transpile Python3 to 7 languages

Hacker News9