rishabhpoddar

I was actually working on something like a "claim checker" recently. Inspired by stuff like Codeql. But I realised that all the really valuable business facing claims can't be checked just by static code analysis, and need to be done via integration and unit tests only. Given that claude code can pretty much write all the runtime tests fairly easily and quickly, I don't see how anything else can be better.

Fairly interesting! A few questions:

- When asking the user for an input, does it support multi turn user conversation?

- Who is this made for? Developers would much rather just use python directly with coding agents; non developers would probably still be afraid of seeing the python-ish syntax in the md file + they wont be able to use existing coding agents cause there would be no examples of this new language in any of the LLM's training data.

But it's an awesome attempt! I like the idea overall, and the design of the website!

What if my network is not on the app?

For most people, they never get any feedback from these platforms anymore.. there are just SO MANY PH and HN launches everyday.. that unless you pay some big PH hunter, or are a part of YC (for HN launch help), your post will just get ignored.

It really depends on your product, but cold emails / DMs still works if you try enough times. Launching on product hunt, HN at least gets some eyeballs and maybe some of those eyeballs convert to people who try your product.

Does anyone know if it won't leak information across slack channel since it has the memory feature?

I ask it to write unit test with close to 100% coverage. This has worked well for me so far

It will always be important as a networking / social experience with very like minded folks. But for learning the subject, not so sure

As models get better and better at following instructions, don't you think this will become lesser and lesser useful?

How is this better than higgsfield?

The problem is, how do you know if someone is an expert in the first place? A LOT of podcasts are done with random people who claim to be experts, spreading misinformation. How does your product filter those out?

The only way to validate an idea is to build an MVP fast, launch it, and see what people say (if anything at all).