Lukas Lang's profile on Product Hunt

About

I am a strategic leader with over 12 years of experience driving business growth, operational excellence, and digital innovation across diverse industries. Passionate about fostering a culture of innovation and leadership, I have successfully built and led high-performing teams that deliver measurable business results. I have also trained over 150 professionals in Data Science and AI and lectured more than 100 graduate and PhD students. Currently, I serve as Head of Data Science and AI at voestalpine High Performance Metals DIGITAL SOLUTIONS, where I hold full P&L accountability and oversee strategic leadership and resource allocation.

Badges

Tastemaker

Gone streaking

Gone streaking 5

Forums

p/reso

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2d ago

Should AI share of voice become a marketing KPI?

With over 60% of searches ending without a click, search performance reporting needs to account for what users see directly in search results.

Think about someone researching CRM software. They might ask ChatGPT for vendor recommendations, compare pricing, and evaluate features before visiting a single website. The brands appearing throughout those conversations have an opportunity to influence the buyer's shortlist.

p/lingodotdev

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7d ago

W41 Product Update: Choose which languages get human review

You can now send translations to human review only when they re in a language you select and score below your quality threshold. All others continue without human review.

Keep human review to selected languages

You could already use a quality threshold to send low-scoring translations to human review. Now you can narrow that rule to selected languages within the same localization engine.

For example, when introducing Japanese or working through terminology issues in German, you can send low-scoring translations in those languages to a reviewer. Translations that meet your threshold continue automatically, and your other languages skip human review.

p/palance

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10d ago

What’s the first thing you check when your portfolio moves?

I m Abbas, the founder of Palance. We build portfolio analytics for people who want to know why a portfolio did what it did, not just what it s worth today. Attribution, sensitivities, simulation, and an AI assistant for when you d rather ask than click.

I m curious how people actually use this stuff. When your portfolio jumps or drops, what do you reach for first? A breakdown of what drove it, a stress test, or a quick look and a deep breath? And what s the question you wish your portfolio tool could answer but can t? The weirder the better. Some of our best ideas started as this is probably too niche and turned out to be what everyone wanted.