Show HN: Dayflow – A git log for your day
51–60 of 132 posts
Re: Show HN: Dayflow – A git log for your day
#52Earlier 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
Re: Show HN: Dayflow – A git log for your day
#53Re: Show HN: Dayflow – A git log for your day
#54Re: Show HN: Dayflow – A git log for your day
#55Re: Show HN: Dayflow – A git log for your day
#56Earlier 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.
Re: Show HN: Dayflow – A git log for your day
#57You 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 :)
Re: Show HN: Dayflow – A git log for your day
#58Re: Show HN: Dayflow – A git log for your day
#59Nice 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.
> 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.