Andrei Tudor

The idea of understanding not just what LLMs say, but why they say it, is huge for brand strategy. With Escape Velocity AI (different space, business planning and modeling), we’ve seen how shifting discovery patterns change how brands plan their positioning, so this feels spot on. Have you noticed any patterns in which sources LLMs tend to favor or trust most when referencing brands?

Really like how Fruitful focuses on interpreting changes, not just tracking them, thus turning noise into signal is the real moat in competitive intelligence. With Escape Velocity AI (different use case, we focus on strategy and planning), we’ve seen how powerful timely insights can be when they feed directly into decision-making. Are most of your users using Fruitful for market-level strategy...

Really like how you’ve framed the shift from workflows to agents. That distinction, rigid checklists vs. adaptive teammates, feels spot on. In our work on Escape Velocity AI (different space, more on strategy/financial modeling), we’ve noticed the same need: people don’t want more steps, they want outcomes that adapt when things change. Do you see early adopters using Instruct more for...

The colder it gets, the more time we spend on our laptops and ship 😆

I don't believe we should make a case for counting the hours worked. You can work a lot of hours and accomplish nothing, or you can work a couple of hours and nail all your goals. In my case, I find it more productive to set weekly goals and adapt my work hours around that.

London, Paris, Warsaw, Lisbon - keep them on your watchlist

Nice approach, thanks for sharing this with us! What's your next move now on PH?

Really like how Verdent is tackling the messy middle between “idea” and “production-ready code.” The Plan Mode + DiffLens combo sounds like it could save a ton of debugging cycles. In our work on Escape Velocity AI (different space, more on strategy/financial modeling), we’ve seen the same truth: people don’t just want outputs, they want to trust the process behind them. Have you found...

Really like the way Everyday leans into “just say it and it’s done". I’ve noticed in our work on Escape Velocity AI (different space, business planning) that the biggest friction is often not the task itself, but the mental load of context switching. Are your early users leaning more on Everyday for personal workflows, or team-wide coordination?

Congrats on the launch and hitting #9! That’s a strong outcome, especially without being featured. Really interesting insight about the featured vs. non-featured visibility gap, I hadn’t realized how big of a difference that makes. Now that you’ve seen how PH works from the inside, would you approach your next launch any differently?

The streamable JIT rendering idea really stands out, as most builders force you into the prompt → wait → tweak loop, so seeing progress unfold frame by frame feels like a game-changer. How do you see teams balancing between “prompt first” vs. “visual first” workflows in Deamoy? Do people lean on AI to get the skeleton out fast, or spend more time fine-tuning visually once it’s generated?

Really like how you’ve framed Integrity as “one brain for your work.” Most tools either go deep on one mode (docs, canvases, chats) or try to bolt them together after the fact. Unifying them from the start feels like the stronger play. One thing I’m curious about: do you see people using AI more as a partner in shaping ideas (like clustering themes, stress-testing strategy) or more as a...

Now that's an interesting move by YC, nice to see that they are on the side that encourages students to finish their degrees! Would be curious to know what other ideas they were exploring while planning this.

Really like how you’ve framed this as a “second set of eyes”, it feels way more practical than generic AI add-ons. We’ve seen the same thing while building Escape Velocity AI (different industry, business consulting): adoption grows when AI removes the blind spots, not just adds features. Are teams using Design Review more for accessibility catches or layout consistency so far? What interesting...

Love how Doraverse tackles the “toy use case” problem. We’ve noticed with Escape Velocity AI that adoption sticks when outputs feel practical and reliable. Are your early users leaning more on the creative side (content, media) or workflow automation for teams?

Impressive how Oreate balances speed with credibility in slides/reports! Congrats on the product & the launch 🔥 With Escape Velocity AI, we’ve also seen how much users value trust in outputs. Do you see people using Oreate more for everyday tasks or for big, high-stakes deliverables?

Wow, congratulations - that's an amazing milestone after just 3 months! What's next for Pretty Prompt?

It's an interesting addition, I also thought about Reddit at first. However, considering the level of moderation on PH, I don't think it's necessary. Maybe to counter the AI-generated comments, sure, but making the "Report" button more visible would be enough if that was the main use case.

Congrats on the launch! It's a super interesting product, especially with the clustering of recurring failure patterns. Debugging agents can feel like chasing ghosts in giant logs, so surfacing the systemic issues instead of one-offs feels like a big unlock. Have you seen teams use Atla more for proactive QA before launch or for post-deployment firefighting?

Congrats on the launch, Rich! Love how alphaAI is packaging hedge-fund style strategies into something everyday investors can actually access. We’re working on something similar in spirit at Escape Velocity AI (different space, business planning/financial modeling), and the big overlap is helping people make decisions they can trust without drowning in complexity. Are most of your early users...