Sp

Speak to AI Characters YC W21

Hacker News

Speak to AI Characters YC W21

Share card

Actual performance

1points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
91%91% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
51%51% 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
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Platus YC F24
Platus YC F2477%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your AI Paralegal

Product Hunt+271Legal
Al
Algolia (YC W14) Presents DocSearch74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Algolia (YC W14) Presents DocSearch

Hacker News9
Wh
Why we killed imwith and launched GIFted (Guggy YC S17)73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Why we killed imwith and launched GIFted (Guggy YC S17)

Hacker News2
Cr
Crowdfunding by BackerKit (YC W13)63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Crowdfunding by BackerKit (YC W13)

Hacker News2
Wh
Why YC when there's YZ?59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Why YC when there's YZ?

Hacker News5
So
Somethingservice (YC W23)57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Somethingservice (YC W23)

Hacker News2
YC
YC for YC Rejects78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

YC for YC Rejects

Hacker News1
YC
YC Hack Winner – RepoWorld67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

YC Hack Winner – RepoWorld

Hacker News1
Ho
Hogwarts Full of AI Characters34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hogwarts Full of AI Characters

Hacker News1
TavernSprite
TavernSprite31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Expressions for SillyTavern Characters

Product Hunt+8