YC for YC Rejects

Hacker News

YC for YC Rejects

Hey HN, there are so many 10/10 ideas and people that never get into YC because of the sheer number of applicants. I know that and want to do something about it so I built Stride. We're a community of 650 (currently) founders building in a ton of different industries, sharing expertise and having weekly events with VC's, founders and angels. We're in the process of raising a seed round to build out a physical / virtual startup studio similar to YC's offer but for all the entrepreneurs that won't / don't get into YC. Let's talk about the SF move - YC is bringing back their need to be in SF to attend batches. Staying put in SF is a miss for YC. The world's changed - talent is everywhere now, global. But YC is sitting pretty as "Silicon Valley's most successful startup" and won't budge. I believe in this thesis and I put my money where my mouth is. I'll build YC for all those that didn't or won't get into YC. Stay tuned

Visit product View on Hacker NewsJan 20, 2024

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: physical · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

78%78% 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: entrepreneurs · Missing: mobile apps, ios, personal

48%48% 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

27%27% 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

16%16% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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