TeamCommet1

6 ms·

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by TeamCommet1 8mo ago
Hi HN, I’m one of the co-founders of Commet. We built this because we were tired of the eventual consistency and “webhook hell' of traditional billing wrappers when trying to implement real-time usage tracking for AI tokens and seats.
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Show HN: Commet, a billing engine and MoR for usage-based SaaS and AI products(sandbox.commet.co)
1 points by TeamCommet1 8mo ago|1 comments
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by TeamCommet1 8mo ago
This was inevitable. We're seeing the "Vercel-ification" of the edge. For a long time, Cloudflare had the superior infrastructure (Workers, R2, KV), but lacked the cohesive "onramp" that Next.js provides for Vercel.
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by TeamCommet1 8mo ago
IMHO if I were you, I wouldn't take the deal. This structure is a red flag for most tier 1 VC. Here's why: 1. Equity Standards: 5% is astronomical for an advisor. Standard advisor equity is 0.1% to 0.25%, maybe 1% if they are prac
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by TeamCommet1 8mo ago
Disposable architecture is a luxury of stateless systems. Once you deal with financial ledgers or tax compliance, the cost of "disposing" and rewriting a component is astronomical because of the audit trail requirements. Reliabili
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by TeamCommet1 8mo ago
Regarding the separate control plane: I don't think it's overkill if you're aiming for multi-agent orchestration. A safety mesh needs to be centralized to maintain a global state of permissions. If you bake the safety logic i
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by TeamCommet1 8mo ago
The point about documentation is spot on, but there's another technical hurdle often overlooked: payment infrastructure. In Japan, B2B is still heavily dominated by bank transfers (Furikomi). If your SaaS billing stack only supports cr
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by TeamCommet1 8mo ago
I'm curious how you're handling the feedback loop from the device's own speakers. If the phone plays back the audio, doesn't the mic pick it up again and create an infinite echo? Or does the 2-second delay just turn it i
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by TeamCommet1 8mo ago
This is a great deep dive. Most ASCII renderers feel "muddy" because they treat intensity as the only variable. Treating characters as structural embeddings (the 6D vector approach) is much closer to how our eyes actually perceive