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Show HN: Dayflow – A git log for your day

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Re: Show HN: Dayflow – A git log for your day

#52

Earlier quoted context omitted.

Per hour? In the UK they bill by the 6-minute! If ever anything told you something about a profession...

They sell in blocks of 1/10th hours??Thats gotta be the jail call special

Every lawyer in the USA that I've ever worked with also bills in 6 minute increments. Which means every email is 6 minutes. Every phone call is at least 6 minutes. etc.

Re: Show HN: Dayflow – A git log for your day

#56
post #52

Earlier quoted context omitted.

They sell in blocks of 1/10th hours??Thats gotta be the jail call special

Every lawyer in the USA that I've ever worked with also bills in 6 minute increments. Which means every email is 6 minutes. Every phone call is at least 6 minutes. etc.

Isn't this better though? The alternative being that every email or phone call is an hour, or that they batch it up based on gut feel. If I get a phone call that could easily steal 6 minutes of focus time (note that I specify focus time, even if the call is only 30 seconds you'd have to mentally switch tasks back and forth).

Re: Show HN: Dayflow – A git log for your day

#57
post #42

You should sell this to Lawyers and other professionals who bill per hour to reconstruct their billables for the day without missing anything. They would pay big money for something that recovered forgotten(unbilled) work throughout the day.

Devil's advocate opinion - this would also show how little per hour lawyers spend working :)

I get the sentiment behind your comment but I have a few lawyers in the family and they work round the clock. They might be in meetings or pouring over documents all day that might not look like work to the average software engineer but trust me, they do work hard. And it's true for everyone - from junior interns to senior partners.

Re: Show HN: Dayflow – A git log for your day

#59
post #8

Nice work, does this work with local (100% offline) models assuming you have decent hardware and are serving them up with llama.cpp or similar?

Yep! Have tested it out on Qwen 2.5VL 3B and it works reasonably well on my 16GB Macbook Air. The only thing I will say is that I don't think it's a great idea to run local models on laptop battery, since it's quite compute intensive and drains kinda quickly. Have tested with Ollama and LMStudio, but you should be able to use any OpenAI compatible local server.

You've mentioned in the docs that:

> Gemini leverages native video understanding for direct analysis, while Local models reconstruct understanding from individual frame descriptions - resulting in dramatically different processing complexity.

For people like me who haven't dabbled much with AI video processing and have no intuition for it, could you clarify the drawbacks of such a local-only approach vs what Gemini offers? I don't mean the performance or power/battery impact (that part is clear), just in terms of end-result and quality what the practical differences are.

I'm in the only-100%-offline camp here but would like to know what I'm missing out on since I won't even try Gemini here.

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