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To be blunt, I would rate it a 1, a 0 if I could. I would stop reading after the third sentence. FWIW, humanizers do not work. Can they make AI text sound better - yes, but only mildly. Also, they won't trick good ai detectors, and the resulting text is still cumbersome to read.

This is what I got first time with a humanizer I built, still sounds terrible:

"Yeah, an LLM gets you the 10-minute demo now.

The expensive part is everything after, once real users depend on it. You end up maintaining editable state, templates, email-safe HTML, export pipelines, asset handling, permissions, custom blocks, and live previews. That takes months.

Structure makes AI output usable here, and it gets more important as the workflow gets automated. That's the idea behind Unlayer Elements. The LLM generates real editable components that map back into the actual email or page, and you keep editing what it makes like anything else in the tool.

I'd prototype with the LLM. I'd bring in Unlayer once that content layer becomes real infrastructure you don't want to own yourself."

While that may be true, in this instance the whole thing is 100% AI generated and this is not someone who has just adopted the mannerisms of AI.

For instance, the usage of "Totally fair" and "The hard part", the usage of colons, which humans would use far less frequently, using the rule of threes (editable email, web page or document), etc.

Anyway, it's just lazy. This is someone trying to sell their product. They should be able to speak about it without using the exact response from an AI

Really? You couldn't write this message yourself and had to ask an LLM. At least make it less obvious.

Personally I just use Pangram's chrome extension, which is amazing for spotting AI generated text.

London has incredible AI talent but yeah, unfortunately most of them work on American tech. In another life Deepmind would not be owned by Google but alas.

I've always wanted something like this. I will be testing this out!

Why should they?

Post-Money = Pre-Money + Investment

So pre-money in this case is their valuation even before they've received any investment.

Yeah I feel the same way. Wonder when/if we'll get continual learning from these models. I feel like they are smart enough already but their lack of real memory makes them a pain to deal with.

Do you really think anyone is using AWS Kiro or Google Antigravity? They are not real competitors in the slightest.

Their annualized revenue run rate is on track to surpass $6 billion by the end of 2026 so it's not ridiculous for them to be valued at $60 billion at some point. Also worth noting that if they do get access to SpaceX compute, they could start pretraining their own model. Composer is good but its built on top of Kimi 2.5.

infisical is a great solution

Where does it say we recommend you work with scammy low-quality auditors? They say that they use third party audit firms that are used by other compliance companies.

They likely barely had a product when they applied to YC. It's more interesting as to why this wasn't discovered (if it is even true) when they were raising their Series A.

I'm always interested to understand - what constitutes a basic ChatGPT wrapper? Is Legora, which is doing very well, a basic ChatGPT wrapper? Because if you don't view it as one, it certainly started as one.

It should really be made clearer in your post that that the crash was not from speaking with April, as it's a bit unclear. Cool product, good luck!

Feels pretty easy to mitigate against. If a user deselects "allow email sending", then you can just remove that as a possible tool-call so it becomes impossible.

As someone that uses Twitter quite a lot for consumption, I actually think it's great. I've learned so much on Twitter (and yes, I'm aware there is plenty of disinformation), and it's also extremely entertaining. Maybe I've just used it long enough so I my feed is quite curated.

None of that matters frankly. They make an exorbitant amount of money from ads and that is only growing.

I started at that level. I studied mechanical engineering at university (bachelors and masters) and have been working as a SWE for four years so I have a strong base in mathematics (more so in calculus and linear algebra, a lot less in probability and statistics).

But the way the site works (as I'm sure you know) is that you take a placement test and then they build a knowledge graph taking into account what you know and what you don't know. So in theory, I should cover all of the subjects I am unfamiliar with.

So far I've been liking the site. It's worth noting that I enjoy math, so I have fun doing it every day and I really like the spaced repetition aspect. I've only been doing it for a month and probably won't be done with the course until March at my current rate. Perhaps my favourite aspect is that it does take the guess work out of self studying mathematics, which I find it be a more challenging subject to self-study compared to say programming. This does, of course, mean that you must trust the teachers behind the product quite well but I have taken the time to research the employees and founders behind the product and I was left impressed.

I'm not sure what my end goal with it is at the moment. I've been fortunate to work for a big tech company in a product software engineering role, which pays well, but I find it immensely boring. I'd love to move towards AI, but not sure if that will work out just yet.

How have you been finding it?

I've been following Math Academy's Mathematics for Machine Learning Course and it has been great.

Yeah makes sense, thanks for sharing.

Genuine question, how do you juggle doing something like plus building your own company (I can see you're the founder of Double Bot)? Have subscribed, I quite like content like this. Good luck.