So, here's what you'll all need to do, report this bot to reddit, and have theverge.com and all other sites as well, ars, wired and so on, to report about this being a "christian" bot, and thus, being a part of the rightwing/alt-right community, and point that finger as that (that might not be true, but it can certainly give the light of it, seeing how /u/spez might have some of them dollars from religious... Source: about 1 year ago

Do you have to cite external sources? What kind of sources can you use? Can you use something like theverge.com or do you have to use something like scientific research papers? Source: about 1 year ago

Use the Add Feed 3 dot menu in the top right to search for feeds to add by site url i.e. theverge.com or npr.org. Source: about 1 year ago

Nothing much to be done about someone dissing e-bikes but if you had the opportunity you could quote this, from theverge.com:. Source: about 1 year ago

"OpenAI has launched a bug bounty, encouraging members of the public to find and disclose vulnerabilities in its AI services including ChatGPT. Rewards range from $200 for “low-severity findings” to $20,000 for “exceptional discoveries,” and reports are submittable via crowdsourcing cybersecurity platform Bugcrowd." (an excerpt from an article from theverge.com). Source: about 1 year ago

IMO the better paradigm is coming from enterprise applications like Anaplan. Cells are not the right abstraction to work with numbers. Most of the time you work with multi-dimensional quantities (eg revenue by product, geography, month). We’re working on a more approachable implementation of that paradigm at https://causal.app. - Source: Hacker News / 22 days ago

We're using Hypertune at https://causal.app for a few months now and it's been great! We have a few feature flags in there but also some more complex typed data for our onboarding modals. - Source: Hacker News / about 1 year ago

Congrats on the launch! We've been using Hypertune at Causal (https://causal.app) for the last few months and it's saved tonnes of engineering cycles letting me and our PM iterate directly on custom onboarding copy for different Causal templates, alongside more typical feature flag use-cases :). - Source: Hacker News / about 1 year ago

If you're particularly keen go onto some of the prep courses there are out there. wall street prep is one, there are other PE prep courses hawked on here for as little as 10 bucks. All are built around excel skills and learning DCFs. I recommend causal.app if you want to try to skip some of this and get forced into a tool. Source: about 1 year ago

Hi HN, I'm the founder of https://causal.app and the author of this post — Most of the finance content online is very textbook-y and overkill for early stage cos, so wanted this to be a 'no-nonsense' guide for founders/ops people that have to juggle a bit of finance stuff alongside everything else. We've helped lots of startups across different stages with finance stuff over the last few years through Causal, so... - Source: Hacker News / over 1 year ago