Gyutae Park

Cloud Handoff mid-task is the feature that was missing from every coding agent. The biggest friction I hit daily is wanting to start something on my laptop then continue on a remote machine. How does it handle state transfer for things like running dev servers or database connections?

The Firebase lock-in question keeps coming up in the comments — interesting that nobody on the team has addressed it yet. For indie hackers who already use Supabase or Planetscale, is there a migration path or is this Firebase-or-nothing?

128GB unified memory on ARM64 at 75W is impressive for edge AI inference. What LLM models have you benchmarked on the C1? Curious about the tokens/sec for something like Llama 70B quantized.

The intelligent request sequencing is an interesting UX decision — submitting tasks in any order and letting the agent figure out dependencies. How does it handle conflicts when two parallel requests touch the same component?

Unifying runtime + package manager + frontend stack is ambitious. The curl install is clean but how does it handle existing nvm/fnm setups — does it conflict or coexist? That migration path matters a lot for adoption.

Shipping ChatGPT apps fast is one thing, but maintaining them is where most builders struggle. How does Fractal handle it when OpenAI changes the API or deprecates a model version?

Scheduled tasks within project context is the killer feature here. The biggest pain with Claude Desktop was losing context between sessions. Does the memory persist across model updates or does it need retraining?

Client portals that actually match your brand instead of looking like generic SaaS — that alone solves a trust problem. How customizable is the portal? Can you fully white-label it or is there Assembly branding visible?

Centering the compose window instead of having it in the corner is such a small thing but makes a huge difference for focus. The promo filter for search is smart too. Does it play well with keyboard shortcuts or does it override any Gmail defaults?

Gentle nudges over hard blocks is the right approach for adults. The 7-second breathing overlay for daily limits is a creative touch. Does the floating widget show time remaining or time spent? Big difference in how it affects behavior.

SQLite table preview in Quick Look is something I didn't know I needed. I constantly open DB Browser just to check a quick schema. Does it handle large databases or is there a file size limit where it becomes impractical?

20 years of design tool experience and you still hit friction building Figma plugins — that tells you the barrier is real. What's the most complex plugin someone has built with FigPrompt so far?

Knowledge sharing between agents is going to be a massive bottleneck as multi-agent workflows scale. How do you handle conflicting knowledge when two agents have different context about the same topic?

Camera-adjacent prompter placement to maintain eye contact is a nice detail most teleprompter apps miss. Does it adapt scroll speed based on your speaking pace or is it manual?

A Mac cleaner that actually understands node_modules, .cache folders, and Docker images would be incredibly useful. Generic cleaners always flag things that shouldn't be deleted. Does it let you set rules per project?

Managing prompts and skills across different AI tools is becoming a real problem as teams scale. Is this more for individual power users or teams? Would love to see version history for skills that evolve over time.

Design-to-code handoff has been broken forever and pixel-level visual diffing in CI could actually fix it. Does it catch CSS issues like spacing/font rendering differences across browsers too, or just layout-level changes?

Developer experience testing is such a blind spot for most SaaS companies. Do you record the actual terminal/IDE session or is it more survey-based? The raw session recordings would be gold for debugging onboarding friction.

Turning a repo into an agent is a compelling pitch. How does it handle monorepos with multiple services? And does the agent understand the git history or just the current state of the code?

The UGC-style angle is what makes this different from other AI video tools. Real question though: how do advertisers handle the disclosure side? Do the AI actors get flagged on platforms like Meta that require AI-generated content labels?