GF

GF likes texts. I’m bad at texting. App for that? Nope. So I made one

Hacker News

GF likes texts. I’m bad at texting. App for that? Nope. So I made one

Share card

Actual performance

8points
16comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
66%66% 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
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
42%42% 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
41%41% 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
21%21% 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
18%18% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Pu
Punniest, a satire of bad comedy36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Punniest, a satire of bad comedy

Hacker News2
ProDentim
ProDentim30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Toothache, Tooth decay, Bad breath, Tooth sensitivity

Indie Hackers1$1/mohealth-fitness
#H
#Hashtag #all #your #texts63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

#Hashtag #all #your #texts

Hacker News1
AP
API to add bad words to English texts51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

API to add bad words to English texts

Hacker News10
I
I made an app to automate some of my texting because I’m bad at it36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made an app to automate some of my texting because I’m bad at it

Hacker News1
He
Here's the Bad Version of My App29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Here's the Bad Version of My App

Hacker News2
I
I built an app that texts you Nietzsche daily45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built an app that texts you Nietzsche daily

Hacker News18
AI
AI app that reframes emotionally charged texts (featured in WIRED)42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI app that reframes emotionally charged texts (featured in WIRED)

Hacker News10
I
I put bad Apple on the pinetime smartwatch39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I put bad Apple on the pinetime smartwatch

Hacker News2
Ma
Makerspace for “bad” art and thoughtful subjectivity42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Makerspace for “bad” art and thoughtful subjectivity

Hacker News2