Find jobs at top AI startups

Hacker News

Hello HN, I am one of the creators of WorkInAI, and I'm excited to share our project with the community and gather valuable feedback. WorkInAI is a job aggregation platform for positions at leading AI startups. We have compiled over 350 job listings from more than 20 top AI startups, including companies like OpenAI, Anthropic, Cohere, and more. We created this platform in response to a friend's frustration with trying to find suitable AI startup roles in London. He used to check various company career pages frequently to see if any new opportunities had arisen -- so we built this to aggregate jobs in a single place. We're launching this MVP early to gather feedback, whether it's feature requests or suggestions for adding new startups to our list. We value your thoughts and input on our product and idea. Thanks!

Visit product View on Hacker NewsSep 8, 2023

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

88%88% 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: new, openai, single · Missing: mac, agents, macos

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, lua, ide · Missing: https docs, just released, exist

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% 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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