I built a workflow that retrieves company details from a single URL using @make_hq and @airtable. Working pretty well ⚙️
Never thought I needed @ScribeHow because I had Loom. Used it for the first time, and it’s damn good!
I didn’t know I could select text in VS Code and talk to ChatGPT with only that text. No need to give it the whole text!
We need an "I don’t care" button on @ChatGPTapp when we’re shown two responses. I feel bad for always choosing randomly
Second day of being back in Japan, and one of the most Japanese things that happened to me was this cafe owner saying sorry to me when I came back for a bag I’d left (sorry because he didn’t check when I left).
What really? No way I’m paying 200 dollars/m for 32k
Japan will lose almost a million people this year. This demographic inevitably was set in motion half a century ago and has nothing to do with AI. AI is the only hope for turning this around.
🇯🇵 Japan's population falling with 900,000 more deaths than births in 2024
Surprised to see some negative comments on this. It’s just marketing and everybody does it (maybe the title can be less aggressive but still)
Have @OpenAI APIs and ChatGPT gotten incredibly fast in the past few days? Don't know if I'm right or I'm missing something here
Fact
Guys I hate to rain on this parade but json prompting isn’t better. This post doesn’t even try to provide evidence that it’s better, it’s just hype. It physically pains me that this is getting so much traction - I’ve actually done experiments on this and markdown or xml is…
Quick question for the @n8n_io pros: I’m looking to run a workflow with up to 1,000 concurrent executions, maybe even a million workflow runs per day. Is that feasible and still affordable? Or should I stick to @make_hq in this case?
Hope @make_hq can address the Iterator issue soon 🤔 I'm sure people get stuck here, and I don't blame them!
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