YC

YC S20 Application Status Update

Hacker News

YC S20 Application Status Update

—————————— SUBJECT: Your Y Combinator Application Thanks for applying to Y Combinator. We're sorry to say that your startup was not selected to interview for the upcoming Y Combinator batch. Please don't take it personally. We carefully reviewed thousands of applications and since there's a limit on the number of startups we can interview in person, we had to turn away a lot of promising companies. Unfortunately we can't give you individual feedback about your application. This page explains why: https://www.ycombinator.com/whynot/ We hope you reapply for the next batch; in fact, we encourage it. The next batch will run from January—March 2021 and the deadline to apply for it is September 2020. Applying multiple times does not count against you and a surprisingly large number of companies are funded after applying more than once. Over 50% of the startups we accept are repeat applicants. We also encourage you to check out Y Combinator’s Startup School. It’s a free online course that keeps you focused on improving your startup. Sign up at startupschool.org. Best of luck, —YC —————————— SUBJECT: (Correction) Your Y Combinator Application We apologize for the mistake on the previous email: the next the batch will run from January—March 2021 and the deadline to apply for it is September 2020. We are sorry for any confusion this may have caused. —YC

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
83%83% predicted probability of success on Indie Hackers, 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 · Strong signals: io · 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.
TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
46%46% 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
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: email, plain · Missing: mac, agents, macos
25%25% predicted probability of success on Product Hunt, 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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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