Alexia Li

This is an interesting take. I’ve definitely noticed those small gaps while AI is generating — I usually end up drifting to other apps without realizing it. Not sure if I’d use a companion for that yet, but the idea of something lightweight that doesn’t break flow is appealing. Curious to see how this evolves.

This resonates a lot. Content creation always feels like a separate full-time job, especially for founders. Curious how much editing or cleanup is still needed after recording, or is it mostly ready to post?

This looks like a really solid attempt at making agent building actually usable in production, not just demos. The built-in copilot and having everything from RAG to evals in one place is especially interesting. Curious how it performs when scaling more complex workflows in real use cases?

👋 Hi PH! I'm Alexia, Growth @ Lessie Growth starts with finding the right people, but the process is a manual mess. We spend half our day "platform-hopping"—cross-referencing 20+ tabs to verify a single lead. We built Lessie to kill the tabs. Lessie synthesizes a person's footprint across the web. Whether scouting for partnerships, leads, or niche talent, Lessie handles cross-platform...

Cohere Transcribe looks like a game-changer for privacy-focused teams needing fast, accurate transcription across multiple languages. For non-technical users, will there be an “out-of-the-box” version with speaker labeling and timestamps?

This is a really interesting take on AI assistants. Instead of relying on manual inputs or integrations, Littlebird actually understands what you're working on in real time — which makes the responses feel much more relevant and grounded. The idea of building a private memory across your workflows (screens, meetings, context) is especially compelling. Curious to see how far this can go in...

This makes a lot of sense — turning WeChat into a direct interface for AI agents is a strong distribution move. Bridging OpenClaw with a high-frequency messaging environment could significantly lower the barrier to daily usage. Curious to see how deeply it integrates into existing workflows.

Interesting concept — giving AI agents their own “network + identity” layer to discover and negotiate is a strong angle. The privacy-first design (opt-in contact sharing) also makes a lot of sense. Curious to see how this scales with real interactions.

Love this positioning — generation isn’t design. Adding a design intelligence layer on top of AI agents makes a lot of sense, especially for turning raw outputs into usable, polished pages. If Lokuma can reliably handle layout, typography, and visual balance, this could be a big unlock for anyone building with AI. Excited to see where this goes.

This changes how I think about backend setup.

How consistent are translations across subtitles, visuals, and dubbing?

AI coding assistants are evolving rapidly, and proactive systems feel like a natural next step. Really curious to see how tools like Enia change how developers structure their workflow.

The 'Value Space' calculation is a game changer for me. It’s hard to do that math in your head when prices are moving this fast.

As someone who spends too much time wiring payments and user management, the idea of flipping a switch and getting that handled is very appealing.

Congrats on the launch—this tackles a structural problem most tools ignore.

This hits home. Tutorial hell isn’t about bad content, it’s about missing context. Keeping explanations inside the video instead of sending people to another tab feels like the real unlock here. Congrats on the launch 🚀

Much faster than standard chatbots. Pandada understands messy data right away without me having to re-explain everything.

I like that I can run LobeHub offline with local models when privacy is paramount.

Chat-first execution is an interesting bet. If Minara can make on-chain “thinking to doing” feel seamless without encouraging impulsive behavior, that’s a sweet spot.