Avinash S

Nice code review organization is genuinely underserved for solo devs and small teams. Curious whether you sync review notes or PR state to the cloud, or is everything stored locally on the Mac?

Really interesting concept curious how you handle trust and verification for the tools listed on the marketplace. Do you run any kind of sandboxing or API scope auditing before a tool goes live, or is that on the tool publisher's side?

Nice to see LTX go desktop curious whether the local rendering communicates back to your cloud at all for model updates or asset sync, or is it fully air-gapped once installed? Would change a lot about how teams think about data residency.

Interesting approach letting devs drop a full coding agent into their own product curious how you're handling credential isolation when the agent needs to access the host app's environment. Are you scoping it per-session or per-user at the SDK level?

Curious how Vet handles the audit trail when an agent makes changes across multiple repos do you log at the diff level or capture the full agent reasoning chain too? Trying to figure out where the boundary between "agent decision" and "human accountability" sits in your model.

This fills a real gap — people have a ton of implicit context locked in ChatGPT and there's no clean way to own it. Curious how Hermit handles storage of the exported data on your end: is it processed server-side or does everything stay local? That distinction matters a lot for the privacy-conscious users you're going after.

Really interesting angle — most ad tools show you aggregate stats but HookLens is actually breaking down creative performance at the hook level. Curious how you're handling the data ingestion side: are brands connecting ad accounts via OAuth or are you doing it another way? Trying to understand how the pipeline works at scale.

Curious how Parsewise handles document storage on the backend — are you keeping files in your own infra or delegating fully to object storage like S3 with client-side encryption? Asking because document tools that start shared tend to hit access-control edge cases fast once teams get bigger. Super clean concept either way.

Impressive breadth with 1,000+ platforms I'm curious how you handle platforms that require OAuth tokens or session cookies to access media. Are you storing those credentials on your end, or is it a bring-your-own-auth flow where the user's session stays local? Makes a big difference architecturally.

Curious how NOVA handles workspace isolation when multiple developers are running agents concurrently do you spin up separate environments per session or share a runtime context? That architecture decision tends to have some interesting downstream effects on both performance and consistency.

The captain accountability model is the right instinct someone owns getting it to the destination, not just managing the process. Curious how the "landing" moment connects to actual deployment. Most project management tools treat the handoff to infrastructure as someone else's problem, which is exactly where the accountability chain breaks. Does agile.flights have plans to integrate with GitHub...

The concept is genuinely interesting for enterprise automation but one question your procurement reviews will surface early: What level of system permissions does Floyd need to operate? And is the training data the "how you do tasks" layer isolated per org, or is there a shared model that learns from all users' workflows? For enterprise buyers, those two questions come before the demo. Getting...

Daily operations but specifically incident response. When an alert fires and on-call engineers need to coordinate across time zones and languages, language friction doesn't just slow things down. It compounds the blast radius of the incident. A 30-minute fix becomes a 3-hour outage when half the call is spent clarifying what "the database is slow" actually means in context. Curious if Shavely...