Yu Pan

It’s cool that I can get updates in audio format - makes commute reading easier.

Does it support scheduling? Would love to have it run competitor checks every Monday morning automatically.

Processing everything locally in-browser is a big win for large client footage.what’s the largest video length or resolution you’ve seen users successfully process so far?

Turning plain English into evolving “Playbooks” feels like the right abstraction for agentic automation — especially when processes change over time. The idea of updating automations through chat is high popular.Curious: how do users typically review or debug what Aident generates under the hood as Playbooks grow more complex?

/agent feels like a big step beyond “URL-in, HTML-out” scraping — the idea of describing intent and letting the system search, navigate, and collect autonomously is super compelling. This solves so many real-world data gaps.Curious: how does /agent decide when to stop exploring vs. keep going, especially for large or ambiguous data requests?

This is next-level AI teamwork! The idea of Super Agents acting as real coworkers with @mentions, Dms, and task management feels like a game-changer for productivity. Quick question for the makers: How do Super Agents handle ambiguous or incomplete task instructions? Do they ask for clarification like a human teammate would, or is there a way to set default behaviors for those scenarios?

This looks awesome! 🎉 Love the flexibility of choosing between local and cloud models—privacy and speed is a killer combo. Quick Q for the maker: How does Whisper Snapper handle background noise or low-quality audio? Does the local model (Parakeet/WhisperKit) perform well in those scenarios, or is cloud the better bet for messy recordings? Also, any plans to add support for mobile (iOS/Android)...

SurgeFlow sounds like a game-changer for anyone tired of the browser-tab chaos! 🚀 As someone who juggles multiple tabs for research, social media, and data tracking, the "no setup, just talk" approach is super appealing. Quick question for the makers: How does SurgeFlow handle variations in website layouts (e.g., a dashboard that updates its UI)? Can it adapt to those changes without manual...

Wow, 309B MoE with 15B active parameters?! That’s some serious scale! Quick question for the Xiaomi team: How does MiMo-V2-Flash balance its ultra-fast performance with accuracy in complex reasoning tasks (e.g., multi-step coding or long-context decision-making)? Any unique optimizations or trade-offs you’ve prioritized? Excited to test its agentic capabilities! 🚀

This is a game-changer for content overload! 🚀I love the idea of turning any webpage or video into an instant, interactive visualization—especially the multi-language support (60+ languages?!). How does MyLens handle highly technical or niche content (e.g., research papers, code tutorials)? Does the AI adapt to different domains, or is there a way to "train" it for specific topics?

Love how this went from a joke to a delightful little social ritual — “Touched Grass” badges feel oddly motivating in a fun, non-serious way. The shareable previews make it perfect for X and Slack. Curious: have you noticed any unexpected use cases so far beyond the original “touch grass” idea?

Turning Shadow from “ears” into both ears and eyes is a really strong leap — smart screenshots tied to context feel like the missing piece for real meeting memory. Love that you kept it bot-free and privacy-first while adding power. Curious: how are teams using Smart Screenshots most so far — for slide recall, decision tracking, or async handoffs after meetings?

Love the idea of dimming distractions without breaking flow — this feels like presence by design. But after I installed this app, pop-up prompt "version of the application "Monocle" cannot be used with this version of macOS." Did I download the wrong version? ps: the version is Monocle-3-0.dmg.

🚀 Love how Netlify AI Gateway removes the unglamorous but painful parts of AI dev — keys, billing, and provider juggling. Calling OpenAI, Anthropic, and Gemini from one gateway feels like a huge unlock for going from vibe coding to production. Curious: do you plan to add smart routing or fallback between models based on latency, cost, or errors as teams start scaling usage?

✨ This feels less like a utility and more like a state of mind — love the idea of dimming the world with a simple cursor shake. Curious what led you to choose this interaction over a keyboard shortcut, and how you’ve seen it change users’ focus or “presence” over time?

This hits a very real pain point — clean object removal at API level is surprisingly hard to get right. Love the focus on realistic results and production readiness, not just demos. Curious: how does the API handle tricky cases like hair, shadows, or overlapping objects, and what kind of latency are you seeing in real-world use?

Love this reframing — turning prompt engineering into a guessing game is a clever way to build AI intuition without the intimidation factor. Curious: have you noticed players getting noticeably better at understanding prompts over time, and are there plans to surface that learning (e.g. “why this prompt worked”) after each round?

🎧 Super useful for anyone drowning in meetings — love the 100+ languages support and native Zoom/Teams/Meet integrations. Curious: what’s been the most popular use case so far — live meeting notes, post-call summaries, or cross-language translation for global teams?

This feels like a missing layer between “trust me” screenshots and full financial disclosure. What’s the biggest hesitation founders have about verifying revenue publicly, and how are you addressing it?

Turning “a thought” into a production-ready native app is a bold promise — love the focus on native, not just wrappers. The web-to-mobile auto deploy angle is especially compelling. Curious: where do users most often step in to customize things — UI/UX, app logic, or native integrations like notifications and sensors?