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Explore career opportunities in AI-first companies

Hacker News

Explore career opportunities in AI-first companies

Like many unemployed right now, I've been playing with LLMs and learning a lot. It's an exciting space right now, with many opportunities. So I curated over 100 companies in the space and joined all their opportunities (not only tech) in a single site. I believe it can be interesting for many people recently affected by layoffs and looking to restart in a market that is booming — for better or worse. Exploring the data about the market is also something that I'm starting to look into [1]. Companies can be added for free and get highlighted by sponsoring the site. I hope that someone out there who is searching for a new job finds this helpful. 1- https://aijobnetwork.com/blog/salary-ranges-at-leading-ai-co...

Visit product View on Hacker NewsMay 12, 2023

Actual performance

7points

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Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

74%74% 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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, single · Missing: mac, agents, macos

33%33% 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

30%30% 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

14%14% 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.

Correct prediction on native model

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