Same thing for home improvement - Lowe’s in stock indicator is wildly wrong to the point that I sometimes call and ask an employee to go physically look at the item.
Sure, but alternatively, using the same data you could find out what the whole list costs at each store and just go to the cheapest one.
Privately, I would like to use an API, which gets my Lego bricks inventory and returns all sets which I could build. Further it should show me sets, which I almost can build and show me missing pieces. Also e.g. it should show me sets with slight color differences, e.g. I have bricks in yellow but originally it requires orange. Things like that...
I think the first one should be very much doable, but I am not sure how I would build the "almost complete" and the "similar colors" features.
Edit: scratch that, just intersect the set of available pieces with each set. If there are fewer than n--or m%--missing pieces, suggest those.
After two weeks off looking for a solution, we’re going to vibe code something basic and use deepgram. If we just skipped the shopping around, the solution would be live already..
We thought long and hard of creating an SDK but did not go that route for now. Our main problem is that if you have to support Windows machines you're putting the finger into something really complicated.
And then depend on the end user's specs, etc.
So I'm really curious, in your case are you planning on deploying to Apple machines (m1+)? Or also set it up on Windows machines?
Will even auto detected who spoke, transcribe, video records and AI summarize it (with defined actions / next steps).
You can set it up to auto perform once the first person joins the meeting.
This, and there are also 3rd party bots that work with Teams (and presumably other video chats as well) that will join the meeting and do their own transcription. I've seen a couple of on meetings with vendors lately, it'll join and be called something like x company transcription bot.
Only read.ai has webhook support, but all these tools only post notes to integrations. we want the full transcript to generate extract of what we think is important.
Have not tried recall.ai
I run a web service whose primary purpose is cleaning up messy, SEO-enshittified data from Google, eBay, etc. After years of fine-tuning my own heuristics, I threw a super-cheap LLM at it and it massively out-performed my custom code. It's slower, but the results are well worth it.
Those kinds of ideas can still become real businesses, especially if you have a great way to get awareness of your solution out to people who aren't actively looking for that, but you're better off trying to find problems where people have tried throwing money at every solution out there and are still yelling for help.
Tl;dr try to sell "pain killers" not "vitamins".