Klara Minarikova

I've seen a lot of CVs that were clearly generic — and a lot that were tailored but still missed the actual keywords from the job description. The ATS optimization angle is the right one to focus on. Curious how the tool handles highly technical roles where the job description is full of specific stack requirements — does it pick those up accurately, or does it need some manual adjustment?

Corporate training has a well-known problem: people click "play," then open email. Embedding questions at the exact moment in the video where they're relevant is a much more honest approach than a form tacked on at the end. What types of questions does Vforms support — multiple choice only, or also open text?

The high scorer funding opportunity is clever incentive. What makes a 'high score' - is it clarity, market opportunity, team credibility, or all of the above weighted somehow?

The 'normal timers are boring' take makes sense. Quick question: if life interrupts (kid needs something, urgent call), does the crash happen immediately, or is there a grace period to come back without penalty?

The usage guard protecting from rate limits is smart. Does it just warn you when you're close, or does it actually pace your activity automatically to keep you under the threshold?

Scheduling around energy patterns instead of just time blocks is smart. How long does it take rivva to learn your rhythm? Can it differentiate between temporary disruptions (bad sleep week) versus actual pattern changes?

Like the text adventure idea for language learning. Since you're starting with 3 stories, what kind of feedback would help you most right now - story topics, difficulty, or something else?

The 'by step 2 my brain has moved on' hits hard. Most task apps assume you'll remember the task long enough to navigate menus. Does TaskMelt handle context switching? Like if I'm mid-sentence and another task pops into my head, can I just keep speaking?

"Scale onboarding without scaling headcount" - this is the real challenge. The best onboarding is personal, but personal doesn't scale. How does it handle the "I don't even know what to ask" problem? Sometimes users don't know what they need help with until they're stuck. Can Obi proactively guide or does it wait for questions?

What if we need to prototype new course landing pages fast without waiting on dev resources? Does it work well for non-designers? I can describe what I want, but I'm not sure I'd know how to "refine and optimize" properly.

I love having everything organized, but I hate the friction of getting it there. Most apps make me think about HOW to enter something instead of just capturing WHAT I need to remember. How well does it integrate with calendar and email? I need everything to connect, not be another separate island of information.

This could save me so much time. Right now, every time I need data answers, it's either "learn SQL" or "wait for someone technical" - neither is great when you're trying to make quick decisions. How does it handle nuanced questions? Like "show me trends but exclude outliers from that weird week in March"?

If someone like me (zero coding background) wanted to test a product idea, could I actually get something live? Or is this still mainly for people who know what they're doing technically?

Love the speed of iteration here! We're building AI tools for course creation and the "test your idea fast" approach really resonates. How customizable are the stores? Can you control the tone, style, and what products the agents choose, or does it just generate something generic?

This looks promising for knowledge capture! I'm curious - does HyNote identify and highlight action items or key decisions automatically? In our training and workshop environment, being able to quickly extract commitments and next steps from meeting recordings would be incredibly valuable. How smart is the AI parsing?

Great use case for LLMs. Is there a limit on PDF size for local processing? Also, can the flashcards be exported to apps like Anki, or is the flow strictly internal? Love the local-first approach.

Clean and simple. I can see this being very useful for onboarding new students. Is there a way for teachers to see what the students are typing in real-time, or is it strictly a solo environment for now?

Interesting take on institutional knowledge. A common issue with AI-captured docs is that they become outdated fast. Does KNOA have a mechanism to flag or archive 'stale' knowledge as the product evolves, or is the focus purely on the initial capture? The interview-style approach to documentation is a smart move

The concept of using music for education is interesting, but I'm curious about the retention rates. Have you seen any data on how much users actually remember compared to traditional methods? The UI looks solid, by the way.