Klara Minarikova

Different AI tools often have very different takes on the same brand. When I see ChatGPT mentions me differently than Perplexity, how do I figure out what's actually driving that gap?

Research for myself is one thing — but I usually need to hand it off. What does sharing look like? Does the other person get the full graph with branches, or just the final report?

Curious what the actual workflow looks like for a non-technical creator. Upload a doc — and then what? How many decisions do I need to make before I have something I'd actually want to publish?

Removing streaks and points is a deliberate choice — most apps lean hard on them. Do you see adult learners using this, or is it really built for students preparing for exams?

My inbox is a mix of very different contexts — client emails, internal ops, project threads. Does Dimension learn to prioritize from behavior patterns, or does it need manual configuration to get it right?

Talented people are often paralyzed not by lack of options but by having too many equally valid ones. Does Minty show parallel roadmaps for different paths, or does it push you to commit to one direction first?

On-device makes sense for corporate environments where IT won't allow audio on third-party servers. Any plans for team sharing of transcripts, or is this intentionally staying a personal tool?

Passive exposure makes sense — words repeat naturally in context. Do you plan to add spaced repetition, or is staying deliberately simple part of the design?

Co-authoring is often messy — different writing styles, different comfort levels with AI assistance. Can individual authors set their own suggestion preferences within a shared document, or does one setting apply to the whole team?

The claim that you tell teams what to build next is interesting. But what happens when the loudest users want something different from the silent majority — how do you weigh that?

Collecting student feedback is a nightmare — most fill out a form with one word or skip it entirely. Voice could surface things that never make it into a text box. Has anyone tried this in an education setting?

Typing instead of flashcards is an uncommon approach. Do you track whether users actually progress between JLPT levels, or do most stay on one?

I switch between two projects daily, each with a different set of tools and tabs. Rebuilding everything costs me a few minutes each time. Is there a way to automate switching between workspaces, like triggering it from a calendar or schedule?

From the hiring side in Europe — LinkedIn is a given, but a lot of strong candidates sit on local boards that major aggregators tend to ignore. Any plans to expand beyond English-speaking markets?

Client-visible tasks caught my attention — in practice it's always a balance between transparency and what clients don't need to see. Can you control which tasks are client-visible and which stay internal at the individual project level?

We produce educational content and I'm curious how personalized the generated tool actually is. Does it adapt meaningfully to the video's specific content, or is it more of a generic format — quiz, checklist — applied to any topic?

We collect client feedback across several channels at once — and deduplication is what interests me most. The same request often arrives three times, worded differently, and it's hard to tell if it's one problem or three. How does ProductBridge decide two pieces of feedback actually belong together?

I juggle two calendars — personal and work — and the overlap is where scheduling gets messy. Does it check both when suggesting times, or do I need to pick one?

I run meetings in two languages — some fully in Czech, some in English. Does the transcription handle both well, or is it optimized mainly for English?

The biggest CRM problem I have seen is not the setup — it is that people stop updating it after a few weeks. Zero manual entry sounds like it solves that. But what happens when part of the conversation happens on channels you are not connected to — do you end up with gaps that make the data unreliable?