Tech Talks at Facebook, Amazon, Netflix, and Google

Hacker News

Ever wonder how large scale services at built at large tech companies? I've collected tech talks given by Facebook, Amazon, Netflix, and Google to share! Facebook: https://youtube.com/playlist?list=PLqXBqaWzmb_eP2NRpwar0qtJcyrWlgLr2 - Facebook: Memcache at Scale, Whatsapp Erlang, Scaling Instagram, RocksDB, Haskell Spam fighting Amazon: https://youtube.com/playlist?list=PLqXBqaWzmb_fRGEAYEbXpQnHrqq5q_BkA - Amazon: S3 Eleven Nines Durability, DynamoDB, Lambda, EBS under the hood, Alexa NLP, Amazon Go Netflix: https://youtube.com/playlist?list=PLqXBqaWzmb_c0d3jHhxk8cF0ldP6EGfvL - Netflix: Chaos Engineering, Regional Failover, Machine Learning and Recommender Systems, Studio Engineering Google: https://youtube.com/playlist?list=PLqXBqaWzmb_c54Ff9-1kz-PJRcmtBuutH - Google: Borg, Spanner, MapReduce, GFS, Google AI, Ads Marketplaces, Robotics, SREs, Deep Learning

Visit product View on Hacker NewsAug 13, 2021

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75%75% 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 · Strong signals: google · Missing: mobile apps, ios, personal

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

51%51% predicted probability of success on Product Hunt, 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

17%17% 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

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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