build you research ideas over 8 weeks, you in?

Hacker News

i’m launching an 8-week online program for technical talent to build their frontier ideas - alongside thousands of others. got a day job? np. work on your ideas during nights and weekends. we provide the essentials - community of likeminded builders, credits for compute / models and and expert advisors (see full list on the site) to help you get unstuck. and at the end, we meet irl in san francisco to put your projects on the map. builders from 20+ countries, including students & alumni from stanford, mit, berkeley, princeton, iit, uwaterloo and utoronto have signed up for the waitlist. some of my fav projects include mini satellites that can act as a jetpack to latch onto existing satellites, thermodynamic computing chip to make compute cheaper, and models for non-invasive measurement of biomarkers. if you have the technical chops and are excited about solving hard, important problems sign up for the waitlist: http://joinsavant.com

Visit product View on Hacker NewsNov 19, 2024

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

78%78% 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.

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

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, exist, existing · Missing: https docs, just released, lua

62%62% 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 · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive

34%34% 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

15%15% 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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