Valeriia Kuna

We haven't tracked the exact hours yet, but it definitely feels like a second full-time job😅🙈 Since we had zero prior experience, the whole process felt like black magic at first. We spent days just researching to understand the rules of the game. (btw your video was also helpful in demystifying that, so thank you!) Right now, the most time consuming part is outreach and network building. But...

I look at this through a UX lens. Monetising data is like a revenue sugar rush. You get a massive spike in numbers immediately (that 2x profit), but you slowly poison the product's retention. In my experience, optimizing for short-term extraction always kills long-term loyalty. Users aren't stupid — they eventually feel the misalignment and leave. That foregone profit isn't a loss actually,...

You mention Gro is opinionated — does the reasoning engine actively prevent me from emailing low-propensity leads to protect my domain reputation?

Does the lookalike AI actually scan the website content of my current clients to find matches, or does it rely mostly on generic LinkedIn industry tags?

40% retention for a trends app are cool results! Congratulations on hitting PMF in Korea! I'm curious about the user behavior: do users mostly just glance at the widget summaries to stay informed, or do you see a high click-through rate to the full sources?

First of all, I have to say that UI and website look very clean! I’ve always been fascinated by RSVP tech to clear my reading backlog, but my main worry has always been context loss. If I zone out for a split second or blink, I’m afraid I’ll miss a key keyword and lose the meaning. How does FocalRead handle this? Is there an intuitive gesture to quickly rewind or peek at the surrounding...

You guys definitely know the cheat code! If you name your complex AI tool after a cute animal, you automatically win 50% of the users.🦦 :D But seriously, agentic AI can feel intimidating, but the Happycapy branding makes it feel approachable and safe for non-tech folks. Love this!

This tool seems to be really helpful for research. You mention it's free and privacy-first. Since semantic search usually implies embedding costs, are you running a small model locally in the browser to keep it private and free, or how are you managing the inference costs?

Congrats on opening up the platform! I'm curious about the mix of deterministic logic and AI agents. One of the biggest concern with agents is them going off the rails. Does Tines pause the workflow and request a human decision if it's not 100% sure? That feels like the missing piece in most agent frameworks.

Context is king! I like your deep context approach. But I'm curious how do you handle filtering between internal and external data with tools like Slack or Linear. How does Revo ensure it doesn't accidentally draft a reply using internal-only context (for example private team comments on a Jira ticket) that shouldn't be shared with the client or other team?

This philosophy applies to every category, not just finance I think. I recently had a terrible experience with an app where I spent time answering ~30 onboarding questions. I thought I was customizing the experience, but at the very end, I was hit with a hard paywall just to enter the dashboard. It felt like they were holding my time hostage. Zero value provided, just work followed by a payment...

Definitely agree on personal finances and biometric data. But I also draw a hard line at social media autonomy. I would never give an agent write-access to my LinkedIn or X accounts to post or reply automatically. My online presence is my reputation.

I feel this! Sometimes AI efficiency feels like an illusion because the baseline for productivity has simply shifted up for everyone. Plus, the mental load of learning new tools and updates daily is a job in itself! It reminds me of the Red Queen's race in Through the Looking-Glass: It takes all the running you can do, to keep in the same place. An that's exactly how I feel every thay with the...

This is such a refreshing take in the era of automate everything! I recently watched a YC video where they explicitly advised founders to do things that don't scale in the beginning. I feel like users have developed a sixth sense for automation, they know when a founder actually spent time on them vs when it's just a clever workflow. Do you think it's even possible to build true superfans with...

Asking users to switch tabs to fill out a form usually results in a significant drop-off, so keeping everything in one player makes sense for onboarding flows! Regarding the analytics, do you provide a heatmap or drop-off analysis to see exactly which question causes viewers to stop watching, or is it just standard form completion data?

Merging the build and launch phases handles the distribution problem right from day one, which is usually the hardest part. The code export feature is a major plus for anyone worried about lock-in. When exporting the project, does the AI produce a standard stack like Next.js that is easy for a human developer to take over and scale manually?

When the system detects conflicting data points across different file types, does it flag the discrepancy for manual review or does it prioritize one source over the other?

How does the AI differentiate between a distraction and a relevant research tab when I am in focus mode? I often need to browse to work, so I am curious how strict the blocking logic is.

Congrats! How does the agent expose the logic or confidence level behind its conclusions?

I’m putting all my bets on AI for Government! The dream of AI finally killing off soul-crushing bureaucracy and processes stuck in the 90s is just too good to ignore🥹 My only worry is that most governments are still have what to do with basic digitalization, let alone AI :D But yes, it’s definitely the biggest area for a massive upgrade!