Pr

Prep for Your YC Interviews with YC Alums

Hacker News

Prep for Your YC Interviews with YC Alums

Share card

Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
68%68% 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 HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
53%53% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% 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
36%36% 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
19%19% 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
18%18% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

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
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
Pr
Practice for Your YC Interviews with Betafi37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Practice for Your YC Interviews with Betafi

Hacker News12
Fl
Flashcards for YC Interviews70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Flashcards for YC Interviews

Hacker News1