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Who is hiring? data since first Covid infection

Hacker News

Who is hiring? data since first Covid infection

Curious if we could predict a recession, and without ChatGPT’s assistance, I compiled total comments from HN's who is hiring? threads since November 2019. According to Wikipedia, Chinese gov’t records suggest the first COVID infection occurred then. Numbers are total comments and estimate is >90% of comments are job posts. Summary: February 2023 comments are less than half of the peak in 2021 when several months had >1000 comments. 2023: 2/23 = 465, 1/23 = 533 2022: 12/22 = 576, 11/22 = 635, 10/22 = 560, 9/22 = 618, 8/22 = 761, 7/22 = 617, 6/22 = 852, 5/22 = 844, 4/22 = 798, 3/22 = 869, 2/22 = 883, 1/22 = 766 2021: 12/21 = 832, 11/21 = 1019, 10/21 = 852, 9/21 = 968, 8/21 = 907, 7/21 = 987, 6/21 = 1041, 5/21 = 925, 4/21 = 970, 3/21 = 964, 2/21 = 1052, 1/21 = 848 2020: 12/20 = 767, 11/20 = 808, 10/20 = 811, 9/20 = 698, 8/20 = 828, 7/20 = 681, 6/20 = 659, 5/20 = 686, 4/20 = 601, 3/23/20 = 786, 3/20 = 776, 2/20 = 677, 1/20 = 697 2019: 12/19 = 673, 11/19 = 742 OpenAI employees, watch for this flood of ChatGPT prompts: how to gamble on stocks with HN hiring data?

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TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released
47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
34%34% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
34%34% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: chatgpt, openai, open · Missing: mac, agents, macos
32%32% 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
24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Correct prediction on native model

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