Viktor Shumylo

What stood out is the move from research to actual on-chain execution without context switching. That’s where most retail investors lose momentum. Curious - how are you thinking about risk framing inside the chat? For example, do you surface volatility, liquidity, or scenario modeling before someone executes a trade? Also love the automation angle with rule-based strategies. Feels powerful if...

Congrats on the launch! Making analytics feel conversational instead of technical is a strong direction. How does ChartStud handle ambiguous or loosely phrased questions from non-technical users so the generated charts stay accurate and don’t misrepresent the underlying data?

Congrats on the launch! Starting with a storyboard instead of immediate generation feels like a much more director-friendly workflow. How does Director Mode maintain character and environment consistency across longer narratives, especially when users iterate heavily on specific scenes?

Congrats on the launch! Moving beyond single-file demos to real multi-file projects feels like a necessary step for serious AI coding. How does Code Arena handle cross-file dependencies and project-wide consistency, especially when different models generate slightly different structures or patterns?

Congrats on the launch! Reworking the geometry of discovery instead of just tweaking rankings is a bold move. How do you balance giving every product visibility with still signaling quality to users?

Congrats on the launch! The model insurance angle is interesting, especially for production use cases where reliability matters more than raw capability. How do you objectively determine when an output qualifies as poor versus just subjective dissatisfaction?

Congrats on the launch! RSVP can definitely boost speed, but comprehension and retention are always the big question. How does FocalRead help users balance higher WPM with actually remembering and processing complex material, especially for dense books or technical articles?

Congrats on the launch! Turning a rough brief into a polished short-form edit without touching a timeline is a compelling shift. How does Ava balance following the exact script/brief versus identifying stronger moments in the raw footage that might perform better on social?

Congrats on the launch! Moving from ICP to booked meetings in one flow is powerful. How does Starnus validate that the matched prospects truly fit the ICP beyond surface-level filters, especially in niche B2B markets where small mismatches can hurt conversion rates?

Congrats on the launch! Moving agents to isolated cloud environments makes sense once local setups hit limits. How do you handle coordination and state management across hundreds of agents so tasks don’t conflict, duplicate work, or drift from the original objective when running asynchronously?

Congrats on the launch! Semantic search inside long videos feels like the right approach, especially for podcasts where wording rarely matches what you remember. How do you evaluate and improve timestamp accuracy when the “meaning” is close but not exact?

Congrats on the launch! Building on real AI traffic data instead of estimates is a strong positioning. How do you differentiate between actual referral traffic from AI tools and indirect influence, like users discovering a brand via ChatGPT but visiting later through search, so brands can clearly understand what impact is truly attributable to AI?

Congrats on the launch! Combining building and distribution into one flow feels like a smart response to the day-two traffic cliff. How are you thinking about long-term retention and quality control on the explore page, so it doesn’t become saturated with quick AI builds?

Congrats on the launch! The shift from tone-based guesses to fact-grounded context feels like a meaningful step forward. How do you handle conflicting or outdated information across integrations (e.g., Slack vs. Jira vs. Docs) to ensure the drafted reply reflects the most accurate and current source of truth?

Congrats on the launch! Real-time interpretation inside meetings is a huge unlock, especially for global teams. How do you ensure translation accuracy when multiple people speak over each other or use niche industry terminology, and what mechanisms are in place to prevent subtle context loss in high-stakes conversations?

Congrats on the launch! Using on-screen context instead of just raw audio feels like the right way to rethink mobile dictation. How does Tapfree decide what surrounding UI context is relevant versus noise, especially in dense apps where small misreads could change the meaning of what gets written?

Congrats on the launch! Using verified revenue instead of self-reported claims is a strong way to add trust to maker profiles. How do you think about balancing transparency with privacy, especially for makers who want credibility signals without exposing more financial detail than they’re comfortable with?

Congrats on the launch! Grounding TAM calculations in real company data instead of abstract assumptions is a big improvement. How does the calculator handle edge cases like emerging categories or companies that only partially fit an ICP?

Congrats on the launch! Embedding questions directly inside the video timeline feels like a much more natural way to collect feedback than sending people off to separate forms. How do you think about question placement and flow, so prompts add insight without interrupting the viewing experience or biasing how people perceive the video?

Congrats on the launch! Optimizing AI for extraction and traceability rather than conversation feels like the right direction for high-stakes work. How does Normain handle ambiguous or partially conflicting signals across documents, especially when expert judgment is required to decide what should be marked as validated versus uncertain?