481–490 of 804 posts
https://stockchat.sh - a local stock research app you ask in plain English; the numbers come from code over SEC filings and daily prices on your machine, the model only picks which tool to run.
I've paired with a psychologist and HR director from one of the best universities in Germany to leverage the fact AI has embedded within every human experience, personality types, shortcomings in recorded history among all languages, and all cultures, and we are trying to extract that knowledge and leverage it so we can analyze what makes you tick (for example being an introvert or extrovert to recharge your social battery) in every aspect, motivation, procrastination etc.
Analyzing solidly your profile in a sense those standard 'form' 1-5 tests can not capture.
Once that's done, we give you recommended activities to improve your weak points (perhaps asserting yourself a bit more if you tend to shy away).
The core things we are trying to solve is:
human coaches are limited by their own worldview and bias, we hope AI who has more knowledge to other human experiences can help you more.
Anonymity, we are full GDPR compliant with audited log table if any user access your records, we hope humans feel more at ease without the fear of being judged.
Accessibility, a single mother drowning with responsibilities doesn't have time or resources to evolve spiritually, we hope the accessibility and price point of our app solves this and helps people who can't hire coaches have a more meaningful life.
Most of all I want to use my skills to improve human lives, I've been working very hard on it.
We are near a beta launch, where it will be free for beta users, if you are interested please email at: martin.sejas@exara.ai
I'm building HAR Analyzer: a native macOS app for searching and inspecting HAR files locally, without uploading sensitive traffic to the cloud.
Like Network Dev Tools but with a better UX.
Earlier quoted context omitted.
Why didn't you let the bots backtest and forward test to pick the mix of best strategies/indicators?
The problem is the bots may have some of the backtest data already in their training.
Personally I think hobbyists that think they can second guess institutional finance are just fooling themselves.
I run a small experiment on this: 29 paper-trading accounts on real US stock prices, $100k each, since July 27. Four AI models (ChatGPT, Claude, Grok, Gemini) each write a trading rulebook and rewrite it every day from their own results. One account is a fixed rulebook that no AI ever touches, as a control. Result so far (paper, 34 trading days): the no-AI control is +13.0%, the S&P 500 is +3.4%, and 25 of the 28 AI…
None of this really means anything. For one if you test enough strategies one by luck will be killer. Second, past performance != future. One AI might consist of some convulated strategy of who knows what, but all it takes in the end is for it to say...hold more tech stocks than not, or buying more call options or leveraged positions in a bull market, being more out of the market during a bearish market, etc. But tha…
https://stockchat.sh - a local stock research app you ask in plain English; the numbers come from code over SEC filings and daily prices on your machine, the model only picks which tool to run.
please do not use the "bloomberg for" thing as a marketing phase. You fundamentally misunderstand what the core value of the bloomberg terminal is. This is not it. Its a basic LLM tacked on to financial data. That doesn't make it bloomberg for anything.
I wonder if anyone reads these? If you do, if you want to complain to me about observability, please shoot me an email at hello@telemetrymachine.com!
We have worked in the observability industry for a combined 15 years and we are trying to right the wrongs we have seen in the industry. It seems like the existing companies are more interested in extracting more and more money from giant customers than actually helping people run their software well.
I won't bury the lede: what we've built is OTel native, wide events native, and works well with agents. We are also, shamelessly, cheaper than everyone else. One of the reasons observability is struggling with adoption is because it's too damn expensive.
So that's what we're building at telemetrymachine.com: an observability product focused on helping you actually track your software (starting with OTel traces and logs). We are really inspired by Observability 2.0/wide events, which really just is an invitation to stuff as many attributes, with as much cardinality as you want, into your spans/logs.
One thing we are also doing differently is trying to be as lean as efficient as possible. We are just two people now, and we are going to be very careful about hiring anyone. Most importantly, what we need to do is avoid a giant salesforce as much as possible. I wrote about this in a blog post[1] but the reason observability is so expensive is actually the giant sales force these companies tend to have.
We also put a lot of work into actual infra efficiency – ie we run on bare metal, and wrote a state of the art[2] storage engine. All of this is to help get prices down while still building a sustainable business.
We are very keen to engage with observability users, so if you do, or do NOT, use observability in your services, please reach out and we'd love to hear your problems and thoughts!
[1] https://telemetrymachine.com/blog/observability-doesnt-have-... [2] https://telemetrymachine.com/blog/the-new-state-of-the-art-i...
As we move away from reading code more and more, I started learning about OpenSpec as a way to be more spec oriented to develop software. Reading specs in a code editor didnt make sense so I wrote my “OpenSpec IDE”. Very simple desktop app, no subs or accounts. Its really a markdown reader but built specifically for OpenSpec so you can read things in order and summon Claude (others coming soon) to execute the required OpenSpec commands
I've been working on a voxel game engine called Bonsai for ~10 years. Probably the most interesting thing about it at the moment is the editor. The world, and most things in it, are represented as collections of SDFs. More accurately, they're density fields, but, potato-tomato. Bonsai has undergone a large rewrite over the last couple years that's nearing completion. A world edit is defined as a bunch of SDF paramete…