An AI Career Agent to help professionals stay relevant and visible

Hacker News

I built this hoping to grow it into something like the agents professional athletes have but for knowledge workers. A lot of people I know are worried about becoming replaceable. Apart from recruiters reaching out once in a while, they get zero real help and they never find time to take action. I want to build something that works in the background to monitor and increase your market value. Right now it starts with profile building from LinkedIn with 10 times better SEO, but I have more ideas in mind. https://www.vulk.ai It's live, you can create a free account, it's a bit slow at the moment but we are working on it. And we will add more features this month. I’d love feedback on two things: - What would make you trust an AI agent with your career? - What would you expect a career agent to actually do for you?

Visit product View on Hacker NewsSep 22, 2025

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

35%35% 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 · Missing: plus, platform, intuitive

19%19% 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

16%16% 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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