Which of these ideas is good?
Startup Ideas
381–390 of 470 posts
Re: Startup Ideas
#382Low-Friction Lending Library Most people end up accumulating dozens or hundreds of items that they only need a few times a year. In my case these are things like camping equipment, a soldering iron, an electric drill, paper cutter, etc. — but everybody has their own unique list. I’d much rather not have to keep track of all this infrequently-used inventory and instead rent it on demand, especially since I have limite…
Check out Selfless! We created it to serve just that need: lend/borrow from people around you. We’re still very young but would love your support! ️
Web — https://selfless.io
iOS — https://itunes.apple.com/us/app/selfless-love-something.-giv...
Android — https://play.google.com/store/apps/details?id=com.selfless
Re: Startup Ideas
#383Earlier quoted context omitted.
Not all medicine is practised within the legal framework that you labour under. If you are a doctor then you should be able to publish your real opinions here, within reason (prefaced with a short disclaimer if you deem it necessary, I would, along the lines of "I'm a MD, practising in and this my personal opinion") and I, for one, would love to hear them.
I'm an MD, practicing in the US. I don't know the actual legality. But here's what I do know from attempting to implement multiple projects within the US for clinical care and for clinical research: most providers, hospitals, and pharmaceutical companies we have worked with have balked at the ability to have high resolution data fed into their medical record or research data systems. In most cases, they are worried t…
Sounds like a bit of a catch-22: you don't want to collect the data until you've collected enough data to know that you're not causing harm.
Re: Startup Ideas
#384>Low-Friction Lending Library I think public libraries should start to serve this role. My local library (Calgary) has started to build up a collection of musical instruments that can be borrowed [0]. I'm sure there are other examples out there. I can see libraries expanding into tool libraries (drill, saw, hammer etc). 0 - https://calgarylibrary.ca/borrow-a-musical-instrument/
Check out Selfless!
Lend/borrow from people around you.
Lending libraries are great but not every city commits resources to support them or they restrict access to the citizens (eg: Oakland,SF,Alameda,etc cannot borrow from Berkeley tool lending library).
We’re still very young but would love your support! ️
Web — https://selfless.io
iOS — https://itunes.apple.com/us/app/selfless-love-something.-giv...
Android — https://play.google.com/store/apps/details?id=com.selfless
Re: Startup Ideas
#385> AI for communicating with dogs This is borderline satire. You don't need some crazy new idea to do a startup. You need to execute well on something people want, and if you're out looking for ideas, your best bet is probably to enter an existing market and cater to a subset of it better than others are doing.
Most animals are way more expressive that the average person is able to easily understand and pet tech would easily be a billion dollar market. EDIT: I would also be happy to do this startup if YC adds me to the next batch; already offered to do one for the “Social Network for Children”: https://news.ycombinator.com/item?id=15715865
>Most animals are way more expressive that the average person is able to easily understand
Is the market the average person though or the person willing to spend several hundred dollars on tech for their pet?
My guess is the latter would mostly consist of people who have spent decades in close contact with pets and are able to reliably read the body language of a dog with rather extreme accuracy and nuance.
If you've never owned a dog they're rather difficult to read. If you've been around them as long as you've been around people you can almost immediately discern a lot of information about them based on a glance.
Re: Startup Ideas
#386> AI for communicating with dogs This is borderline satire. You don't need some crazy new idea to do a startup. You need to execute well on something people want, and if you're out looking for ideas, your best bet is probably to enter an existing market and cater to a subset of it better than others are doing.
It's not so crazy if you apply it to babies. I'm sure a lot of new parents would very much appreciate knowing why their baby is crying now . What's that old quote about babies and the same error code for many different problems?
While not babies, a lot of parents have problems communicating with pre-verbal and basically non-verbal infants... but it's also been found that infants can actually learn and effectively use signs (not to be confused with ASL or a distinct sign language) to communicate.
Re: Startup Ideas
#387Earlier quoted context omitted.
Have them read Chapter 5 of this book. https://www.cia.gov/library/center-for-the-study-of-intellig... "Using experts in a variety of fields as test subjects, experimental psychologists have examined the relationship between the amount of information available to the experts, the accuracy of judgments they make based on this information, and the experts’ confidence in the accuracy of these judgments." "Key findings f…
But, the main issue is "once an experienced analyst has the minimum information necessary to make an informed judgement" is followed by "they are unaware of the extent to which their judgements are determined by a few dominant factors." Which implies they do not know which part of the data is most important. No? disclaimer: didn't click link/read chapter
The authors ultimate solution is to use the scientific method to compare competing hypothesis...otherwise you'll be blinded by all sorts of biases. If you are running an experiment and using competing hypothesis...in theory, you can identify which metrics are best for that test... but if you had much more data, you'll probably end up using every data point past the first 5 as confirmation bias. (I'm no expert though and haven't read the book in about 3 years.)
Re: Startup Ideas
#388Hey HN! I'm a software developer at YC and the author of this post. This post is actually a bit of an experiment. We're trying to find better ways to get prospective startup founders (which includes many of us in the HN community) in contact with problems that really ought to be solved. We have lots of different ideas for ways to do that, but a list of ideas seemed like an easy one to try out first. Please let me kno…
How about giving us a short article on how to propose new ideas to you, and what happens if we do. Assuming a reader has a usable idea(s) - a best-case scenario but the only one worth providing information for - what would you like them to do to present it, how can they feel safe doing so, and what happens after they do and you like it.
What will you do when you like an idea? Give it to someone you chose already in YC or work with the person that has the idea?
Re: Startup Ideas
#389Earlier quoted context omitted.
There is (pretty horrible) joke: "If violence does not solve the problem, you are not using enough of it". It may be the case with data. Put another way, we may be in the uncanny valley of data. There is definitely an issue of under-diagnosis for many diseases. More data may not help initially but once we are over the critical mass in the amount of data and sophistication of ML algorithms trained on it, it will get o…
We have a much bigger problem with overdiagnosis than underdiagnosis, and the latter is not likely to be solved with this sort of scattershot data collection. The former is very likely to be inflamed. The difference is that you actually hear about the Diagnosis X That Was Missed, but you never hear about That Simple Blood Test That Should Never Have Been Drawn but that Showed Positive for a Marker Common In Disease B…
I think it is good to remain skeptical about medical ML, but I don't think it should be because of the algorithms or that retrospective analysis is flawed. In most retrospective medical research, the data sizes are relatively small. Likewise current ML needs huge amounts of labeled data to be accurate, and patient data just isn't available to ML experts in the volumes necessary. The question I have is would dramatically increasing the size of available patient data improve ML analysis? Is it the case that some of the flaws of retrospective analysis are actually a result of too little data especially in the context of ML? I don't know the answer, but I do know we need to fix the data availability problem if we want to find out. How do we fix the data availability problem? Not sure either, it a complex problem.
Re: Startup Ideas
#390Re Smart Bathroom: Every time I hear about all-knowing toilets, I continue to feel it’s putting the cart way ahead of the horse. There’s a rule in medicine: don’t order a test whose outcome doesn’t change your decision. That’s not about cost-savings, it’s about avoiding false positives that make no sense in clinical context but raise flags that must be chased down. This sort of thing is literally promising to just co…
What if ypu use that data to train AI? How many lives saved or serious health issues avoided by early detection?