About

As COO of Hygge Software, I own how AI projects perform as business investments for our clients. Investment decisions Before a team is assigned, I decide whether the business case for an AI project actually holds. Not every AI idea should get built. Half the value I add is telling a client which use case pays off and which one doesn't. Executive alignment AI projects stall when the people funding them and the people building them aren't looking at the same numbers. I sit at that intersection, translating technical scope into budget, timeline, and risk. Accountability If a client's AI investment doesn't deliver, that sits with me at the executive level, not buried in a delivery report three levels down.

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FinderGit 0.54.0 — Agents cleans up after your coding agents

Hi,

FinderGit 0.54.0 is about the Agents dashboard. It already reads what your coding agents load before they start; now it also finds what they leave behind on disk, helps with a skill listing that has grown past its room, and reads Claude Code's settings, and your organization's policy, the way Claude Code itself does.

What the agents leave behind

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2mo ago

Does posting rejected threads hurt you on product hunt? how does approval actually work?

Had a thread rejected recently, still not fully sure why.
Got me wondering about a few things and figured i'd just ask directly instead of guessing.

Does getting a thread rejected affect your account in any way, algorithm, visibility, standing, anything like that? or is it just a one-off, no consequence, try again kind of thing?

Also curious how the approval process actually works. is it a human reviewing each thread, some automated filter, a mix of both? trying to understand what actually triggers a rejection so i'm not accidentally repeating the same mistake without knowing what it was.

If anyone from the team or anyone who's been rejected before can share how this actually works, would genuinely appreciate it.

Every number that says your AI product is working arrives before the one that says it isn't

AI apps convert trials 52% better and churn annual subscriptions 30% faster. The flattering metric lands in week one. The honest one lands in month twelve and by then you've already spent money on the gap.

Here's a pairing I can't stop thinking about, and both halves come from the same dataset.

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