Ya

Yaps.chat – "Don't be like Bezos. Own your gf. Dont let Zuck to do it"

Hacker News

Yaps.chat – "Don't be like Bezos. Own your gf. Dont let Zuck to do it"

Yooooo! yaps.chat is here to shake up your chat game! "Refresh = Delete" Poof! Chat’s gone. What chat? Oh, and guess what? We’re live on Product Hunt! ( https://notl.ink/3mePvm ) Show us some loveeee—drop a vote, leave a comment, or just vibe with us. Let’s make Yaps.chat the next big thing! "See ya on the flip side!" – yaps.chat (probably)* tysm,

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
44%44% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
36%36% 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Do
Don't let me get hangry59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Don't let me get hangry

Hacker News3
Ze
Zenmode – don't let other apps distract you66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zenmode – don't let other apps distract you

Hacker News4
Ze
Zenmode – don't let other apps distract you66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zenmode – don't let other apps distract you

Hacker News1
Meridian
Meridian73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Don't let your work go unnoticed. Get promoted!

Product Hunt+538Productivity
Do
Don't Name the Shooter55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Don't Name the Shooter

Hacker News69
Ig
Igloos That Don't Melt55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Igloos That Don't Melt

Hacker News81
Do
Don't Blink45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Don't Blink

Hacker News1
Re
Remindem - Don't remind yourself to remind others55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Remindem - Don't remind yourself to remind others

Hacker News1
Do
Don't Get Ripped Off By Your Lawyer55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Don't Get Ripped Off By Your Lawyer

Hacker News1
Pl
Please Don't Rob Me55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Please Don't Rob Me

Hacker News123