Viktor Shumylo

Totally agree with this. Tools speed things up, but they don’t replace the thinking. Most of the good signals I’ve seen come from actually looking at how companies talk about their product, recent launches, hiring patterns, things like that. Once you notice the pattern, then tools like Clay or Apollo help scale it. Manual research feels slower, but it’s usually where the real insight comes from.

Interesting concept. Framing AI as coworkers that deliver finished outputs instead of just chat responses makes a lot of sense. The idea of receiving a ready-to-use deck or dashboard by email is pretty compelling. How do Hannah, Alex, and Elena coordinate tasks between each other when a request involves research, data, and project management together?

Really interesting idea. Making a full branding process accessible to smaller teams sounds valuable, especially if strategy comes before the visuals. The 7-phase structure feels very close to how agencies actually work. How does it adapt the strategy if a startup has very limited data or market history?

Interesting direction. Brand tracking becoming more important with AI-driven marketing makes a lot of sense. I like the idea of measuring brand perception before it shows up in revenue. What kind of data sources does Timelaps use to measure brand perception over time?

Interesting concept. I like the idea of making collaboration calmer and more structured. The combination of posts, check-ins, and AI summaries sounds like a thoughtful workflow. How does Cushion help users quickly find the most important updates when there are many active discussions?

Demo videos really do take way more time than expected, especially when you just want to quickly show a feature. Does Recorded automatically detect the key moments in the recording to apply zoom and focus?

The idea of agents reasoning across multiple documents instead of just extracting fields sounds much closer to how real analysis works. I also like the focus on traceability back to the source. How does the Parsewise handle conflicting information between documents when generating an answer?

This is a really interesting idea. I agree that most ways of finding answers online still feel stuck in the blue links or long text format. The concept of turning answers into a visual, tappable story feels much closer to how people already use modern apps. What kind of questions seem to work best with Heywa so far?

Interesting idea, automatic model routing could save a lot of cost. Сan developers see or override which model was chosen for a specific request if they want more control?

Nice idea, the morning summary sounds like the most interesting part. If a tab gets closed but I suddenly need it later, is there an easy way to restore it from previous days?

Interesting idea, consistency is definitely one of the biggest problems with AI characters. If I create a character in Persona, can I lock its identity so the face and style stay consistent across hundreds of videos and different scenes?

I don’t think it’s as simple as “AI replaces half of us” or “AI just helps us do more meaningful work.” What I’m seeing is that AI compresses teams. The same output can now be achieved with fewer people, which changes hiring math more than it changes human value. The real shift, in my opinion, is not manual trades vs. tech. It’s adaptability. People who learn how to work with AI, design systems...

Love the concept, feels very timely. How do you decide which sources to include, and how do you prevent your own synthesis from introducing a new layer of bias?

Congrats! Nice expansion, moving from campaigns to infrastructure makes sense. How do you maintain 99% and deliverability at scale?

That’s an intense backdrop for a launch. How do you control what Viktor is allowed to do on its own?

Strong mission Gary. If I sign up today, what does WEIR actually do for me right away? And if someone uses my photo or identity without permission, how do you help me fix it?

Love the positioning, local, fast, no bloat is refreshing. How deep does the AEO analysis go? Is it just schema and structured data checks, or does it also evaluate content for AI-answer readiness?

Hi! We’re building https://app.hirepilot.co/ an AI job search assistant. It’s a tool that helps people manage their job search in one place, automate repetitive parts of applying, and experiment with outreach instead of just submitting resumes into portals. Core stack is Python with Django on the backend, PostgreSQL as our main database, and TypeScript on the frontend to keep things...

Cool idea, personal morning podcast is smart. Сan I control how long it is and how detailed it gets? Would love Gmail or Notion integration too.

Love this positioning, AI without the context switch is a real productivity unlock. How do you handle privacy and sensitive text?