shuangly

We do extensive preprocessing to ensure AI receives accurate context, data, and documents for review, and we’re continuously refining this, so accuracy keeps improving every day. Right now the accuracy isn't super stable yet across projects, but we've had findings with > 90% accuracy results

Documents are stored on AWS with strict access controls, meaning they are only accessible to the file owner and, if necessary, our engineers for debugging purposes. After the check, users can delete the project and optionally permanently delete the files from our S3 buckets on AWS.

So I think the statement is more like statistically in good universities you're more likely to meet other great engineers and cofounders. It of course doesn't mean all students from good universities are better from scrappy people community college. When it comes to reality, I'm a startup founder and how would I screen people? If someone went to Stanford it's a strong good signal. If another guy went to community college but has exceptional technical skills of course I'd hire him than an average Stanford graduates. School or past experience is just one signal but it's a strong signal.

The app loads very fast. Looks neat. What more data sources do you plan to add? Would use this for my investor updates