About
I'm an engineer with a strong passion for technology and innovative projects. As the Co-Founder & CEO of VR-Warta, I focus on developing cutting-edge solutions in virtual reality and advanced equipment design. My goal is to create products that combine engineering precision with modern technology, delivering practical applications for industries such as simulation, training, and entertainment.
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What are your favorite "fun" apps?
Yesterday @fmerian recommended Googly Eyes from @Sindre Sorhus, which I immediately downloaded! After enjoying the eyes following my cursor around for the day, that got me thinking - what other fun, goofy apps do you all have for your Mac, Chrome, or other devices that don't necessarily serve a purpose other than to bring joy and break the monotony? @Scroll Buddy is another one that comes to mind that I have saved in a collection.
We see productivity apps, AI-based software, open-source products, etc. all the time, but what about your saved products someone made after their 9-5 or on a weekend just to have fun and test their skills?
The classic case of over-engineering
Hey guys! Non-technical founder here who has fallen into the trap of over-engineering a product (lol). My co-founder and I are now figuring out what exact problem we solve, when we address too many use cases.
How did this start out?
We originally set out to build a privacy-first copilot.
Our heaviest users ended up being marketers, and we had to dig out why (we literally called and went to their offices):
- They had to figure out different tools
- They had scattered data across dashboards, sheets, reports etc.
- They had no time to analyse and dig deep into channels, they're busy executing
B2C AI Adoption: Is advertising AI features a Plus or a Minus for Growth?
I'm seeing a growing trend of B2C products actively advertising their AI features as a USP, claiming AI being the prime solution.
However, being back in my hometown for a weekend, I've heard a lot of apprehension around data privacy and a general lack of understanding "what happens in that blackbox". Nothing I hear very often back in Berlin, so demographic differences are clearly playing a big role in user receptiveness.
Transparency is crucial, no doubt. Advertising AI on platforms like producthunt or in decks for investors makes a lot of sense - that's the right audience.
But are we far enough along the AI adoption curve for "AI-powered" to be a major selling point on the customer-facing side? Or are we scaring off potential users with concerns about data usage and complexity?
Let's discuss!
Have you seen AI transparency hurt or help your user acquisition efforts?
How are you addressing user concerns about AI?