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This might depend on where you live and the kind of business… last time I made an Unmeldung online I needed to call after a week waiting and they literally told me that in person would be solved the same day. And it was.


Same as many, I had wonderful experience with F# in the past, I would use it again if:

- fable would 100% detach from dotnet - keeps up yo the LLM rush, specially vibe coding on cursor

Last LLM experience it generated obsolete grammar (not much but a bit).

Such la gauges are key for vibe coding experience and modeling.


Today I wasted 1 hour looking in how to use or where to find "Deep Research”.

I could not. I have the business workplace standard, which contains the Gemini advance, not sure whether I need a VPN, pay a separate AI product, or even pay a higher workplace tier or what the heck is going on at all.

There are so many confusing products interrelated and lack of focus everywhere that I really do not know anymore whether it is worth as an AI provider.


You need to pay for Gemini to access it. In my experience, it's not worth it. So much potential in the experience, but the AI isn't good enough.

I'm curious about the OpenAI alternative, but am not willing to pay $200/month.


Deep research in chatgpt pro is nice. It’ll go fetch api docs (and github examples) and make your code more correct.

Saved me the headache of manually going thru pages of doc


if it would make whole market research on products and companies I would gladly pay for it... but a bit unsure from Europe where it seems to be everything restricted due political boundaries.


I have OpenAI Deep Research access in Europe and it is extremely good. It's also particularly good at niche market research in products and companies.

Happy to give you a demo. If you want to send me a prompt, I can share a link to the resulting output.


Thanks for the offering, seriously, it is an important investment/cost I wasn't sure it would be worth right now. (If you wish to I added some contact information, for an easier chat, in my HN profile; just for the following day).

Here is a realistic case I would have used

Short prompt: "research the market of the SysML products and industry cap, key actors, opportunities and advantages"

Expanded prompt:

“Conduct a detailed market analysis of SysML (Systems Modeling Language) products and services, focusing on the following aspects: 1. Industry Overview: • Current market size and growth trends for SysML-related products and services. • Global market cap or valuation of the SysML industry or similar system engineering software. 2. Key Players: • Identify major companies and organizations offering SysML tools, including established leaders and emerging competitors. • Provide a brief description of each key player’s products, innovations, and market share. 3. Product Offerings: • Highlight the range of SysML-based products available (e.g., modeling software, integration tools, training services). • Compare features, target industries, and pricing strategies. 4. Market Opportunities: • Explore new or underserved industries where SysML adoption could grow (e.g., aerospace, automotive, healthcare). • Identify gaps in current product offerings that represent potential areas for innovation or competitive advantage. 5. Competitive Advantages: • Analyze what makes SysML valuable to companies (e.g., improving system complexity management, ensuring design consistency). • Evaluate how SysML tools offer a competitive advantage compared to alternative solutions like UML or other system modeling methods. 6. Challenges and Risks: • Discuss potential challenges such as market saturation, training requirements, or competing technologies. • Highlight external factors that could affect market growth, such as regulations or advances in adjacent industries.

Provide sources where relevant, including reports, studies, or insights from industry experts.”

Hvala.


Report link: https://chatgpt.com/share/67a4a67b-5060-8005-85b8-65eef3cb60...

Let me know what you think, will ya? I'm curious as to how you'd evaluate the quality of that report.

Also note the follow-up prompt I gave it. This thing needs as much detail as you can give it, and small changes to your prompt can hugely influence the end result.


Wow, thank you so much, that was 11 pages full pages. I will be a bit critical with it hoping my review helps you as well, since to me, it was very friendly and useful your offer (also I wonder if you can still do 99 more reserachs like this one during the month or this amounts already to many of such research in total).

Superficially:

- Awesome how fast is available and all sources linked to explain each claim

- To export that to a proper doc with footnotes and proper formatting it's already something to be worked by openAI

- it looks like the perfect way to create a gut feeling and a sense of what is going on

Content:

- Wrong studies: It mixed SysML (a particular visual language for which it was specifically requested) with MBSE (the family of tools) which is exactly not the same as the desired study was particular for SysML.

- Quality of data: Most of the data comes from public articles and studies made by others, all the time about MBSE, not SysML, and just quotes their numbers, it does not do its own estimates looking for the benefits of such products on each company and estimating a projection (that would be an actual research, and an AI should be capable of tirelessly do that or even biasedly look for the right pieces if information). For example it was a report on diet, a report like that should avoid debunk articles, bro's blogs, etc.

- Inconsistent scales: at some comparison table, it mentioned at the foot that it will display pricing with such schema:(Pricing: $ = low, $$$$ = high) however it made that in a single row. Why? the source for that field made that as well in its source, but none of the other fields repeated this system to value or adapt results.

- Only googleable data: companies reports or private databases here are key for a high quality report. Sometimes this is not always possible for an AI or a crawler but here am I evaluating the outcome (use case): a market analisis for strategic purposes.

- Quality of the report: Many things mentioned like services around the products are also highly valuable... would be useful to remark case by case the business model of each company and how much is in the product and how much is in the related service (using a pie chats or whatever) and showing particular case studies to remark the market trend, from which model is coming from (product) and where it is going to (services and SaaS).

I could continue longer with many other things and such errors but it is quite long.

Conclusion:

It is very useful, particularly to grasp a general, yet detailed, idea on what is going on, on a market. However it is only as valid as a remix of previous things, not an actual market research for an actual strategy. Many sources, elements, landscape of which companies and products related are there are totally useful, perhaps 30%-40% of the total work and it gives a clear structure where to go from here.

Probably it may improve the more interactive that the tool is, for example asking to correct some sections or improve in specifically suggested ways by the user. Basically the user needs to bring expertise, reasoning from the field and critical thinking (things machines will be lacking in any foreseeable future).

Why am I so critic? Remember, map is not the territory, particularly in strategic terms. And it is also a problem that many professionals do also these kind of failures: uncritically copying data from other's reports without verifying critically any of it which leads to very specific kinds of strategic errors.

It will become more useful as it becomes specialized in the kind of reports, and judges critically (which does not) and if it can be adapted to work on a private repo or preselected amounts of sources, or even prescripted agent behaves for the sort of report.

Verdict:

I would purchase it, not to solve the problem or resell it, but as a way to get started and accelerate the process. It already does what an internship student would do, or a mediocre professional: revamp preexisting mashups to get a general, but detailed, feeling but no more insights or research than what it is already well known (googling after all).

It has a great future as it would be great if such level of non creative work is automated away as their value often is marginal and uncritically propagates previous beliefs and biases (and if there is a centralized tool, that can be tuned to avoid well known issues)


> It is very useful, particularly to grasp a general, yet detailed, idea on what is going on, on a market. However it is only as valid as a remix of previous things, not an actual market research for an actual strategy. Many sources, elements, landscape of which companies and products related are there are totally useful, perhaps 30%-40% of the total work and it gives a clear structure where to go from here.

> Probably it may improve the more interactive that the tool is, for example asking to correct some sections or improve in specifically suggested ways by the user. Basically the user needs to bring expertise, reasoning from the field and critical thinking (things machines will be lacking in any foreseeable future).

Yeah, that's just the thing. With what you know, you can iterate on the results it gives you. It's very sensitive to how your prompt is written and structured, so some fine tuning, user-provided context, and user expertise, it'll dial-in on any subject very well. It's not top-expert-level yet -- at least not on its own -- but it's close, and it's miles better than asking o1-Pro (or Deepseek r1) for a detailed report.


I wish to know how to access it for myself, but how may I contact you?

is it chatGPT Plus, Pro or something else? Where are you based UK or Germany?

I was hoping for a market research on SysML tooling.


Just post your prompt here and I'll give you a link to the response. Deep research requires pretty detailed prompts in order to generate high-quality reports.

I'm usually in Croatia but am right now in Greece. My account ($200 Pro account) works the same wherever I am, even when I'm outside the EU, e.g. in Serbia.


See the top of the announcement:

https://openai.com/index/introducing-deep-research/

It's Pro only for now.


Similar feeling with Gemini g suite integration


so if I understand this right, it could be a way to run scheme on esp32 and similar microcontrollers, isn't it?

Also its small size would make it a perfect target to compile to typescript/deno/wasm without rejecting the s-exp power and runtime possibilities in its full chicken code at the backend...


There are specialized Scheme implementations that aim to be small.

A recent paper (see also the presentation on YouTube):

Leonard Oest O'Leary, Mathis Laroche, and Marc Feeley A R4RS Compliant REPL in 7 KB

For systems with a C compiler:

Vincent St-Amour and Marc Feeley. PICOBIT: A Compact Scheme System for Microcontrollers. (This one got a best paper award).

Finally, there is also PICBIT available for PIC microcontrollers:

PICBIT: A Scheme System for the PIC Microcontroller


Not a scheme, but for running a lisp on microcontrollers uLisp is pretty amazing. http://www.ulisp.com/

You even get a REPL and everything WHILE running on the hardware. Super easy to set up and get going. Though as it is interpreted so you will of course not have native performance. Still very useful for prototyping and hobbyist projects.


As a rule, interpreted code has a smaller memory footprint than natively compiled programs.

Even interpreted on a several hundred MHz classic RISC microcontroller, Lisp will chew through a million cons cells a second or more - an order of magnitude or so faster than the old Lisp machines in the 80s were and they used to run giant CAD systems on those to design aircraft and stuff. (Albeit slowly...)


OTOH if you want something that gives you a REPL and everything directly on the hardware but is also not as slow as your typical interpreter, look at Forth.


Not in the way I would like: you cannot have a REPL running. Seems only a transpiler for R7 Small.


It's compiling a subset of Scheme that can be statically typed. It's not for full-blown live-hackable Scheme programs. You'd use Crunch or PreScheme to implement things that you can't implement in Scheme, like a garbage collector. I don't know if Crunch has this feature, but with PreScheme you can run your PreScheme programs at the Scheme REPL so you can have your comfy REPL-driven dev environment and then create a static executable when you're ready.


I guess faster reaction times might have been decisive for many early startups.

Nowadays is another story because everyone does and cargo cults are in place.


Sure. But going back to waterfall isn't going to improve reaction times for anyone. So still only the agile shops survive.


is the certificate right?

mmmmm someone might want to steal my coffee...


False dichotomy doesn’t bring anything to the conversation. However it it true that the far left is the main motivated to quit X, and the progressive views Silicon Valley were also dominant on HN.

Just something to accept and think about. Do not blame the messenger.


I'm not sure what you are trying to say.


I've read the new in spanish, it was not just labeled as jewish but as sefardic jewish line (the one particular from spanish jews). Most of them converted to christianity (the called "new christians") and remained in Spain.

On the other hand, Jewish were expelled from the whole italic peninsula (including Genoa, etc) after very extreme period of persecution 2 centuries earlier.


The purpose was to convert most of population to christianity to achieve cultural unity, and the ones who wouldn't convert had to leave. Usually it is explained only as an expulsion of the jews.

P.D: there are many theories around Gibraltar, specially since it was during succession war and the country was in a civil war.


I think it would have been more polite if they all converted to Judaism is cultural unity was the goal.


this is highly dated... 2004-2008, the opportunities were others than today's


This attitude is bad, but it is kinda justified. If you spend any time in the "indie hacker" entrepreneur space today it is oversaturated with people trying to root out every single angle they can possibly try to address with their tech solution. They are all listening to podcasts, newsletters and buying courses about how to be a tech entrepreneur, but the people selling the 'how to get rich' info are the only ones consistently making money.

Total admiration for the author, it was very savvy to identify that opportunity and they put their money on the line. The modern self-made entrepreneur is less appealing. Success stories nowadays are like "We dropship japanese candy boxes" or "My Crypto Substack has 5k subscribers".


I might be way off the mark, but I get the sense with a lot of the indie hackers it is less about the money and more about the attraction of the community and the sense of belonging. If you "build in public" you'll get attention and will be cheered on by the others doing the same.

If they were really in it for the money then spending all of their free time for a couple of years to get a few hundred dollars MRR would be a fail, yet many of them keep at it. I suspect the rewards they get from being an active part of the community feel worth it.

I think a better choice is to either go day job + hobby that isn't for money, as restricting yourself to what makes money is going to be less enjoyable. Or day job + heavily profit focused side business with the goal of quickly replacing your day job with said business, then freeing up some time to have your hobbies again. I think the mistake is trying to do both at the same time. You can't really focus on both profit and personal enjoyment in the same project (unless profit is a big source of enjoyment for you).


The opportunities are different, but the attitude of keeping your eyes open to opportunities and figuring out what works is still true.


We are at a low point, where everything is gated and huge corporations will decide to scare your customers away. Of course, there are always lots of opportunities. But currently they are fewer.

Anyway, I do think we have already seen the bottom of that curve.


It is so noisy and crowded that I wonder if it is worth spending time and energy looking for opportunities.


Is it?

Who are the top players in pest-management software? How much of the market do they have? How much of the market wants another application because the existing ones don't cover their niche? How easy/difficult would it be to market to them?

I pulled Pest Management Software out of my ass because about 20 years ago I responded to a similar attitude by mentioning that while gardening I wondered if there was such a thing as pest management software (there is. It's a huge field) and also because last summer I was asked to build a small wireless interface to a mosquito sprayer so -- wait for it -- someone's mosquito control app could automatically monitor the amount that was being sprayed without the driver having to enter any data.

Opportunities are everywhere but you won't find them unless you look.


as someone who's living off of the tiny business income, there are plenty of opportunities to be found on the internets. some of these opportunities have a shorter shelf life than others, and that's okay; you can still make a killing before moving on to the next wave.

you probably won't start ranking as easily as you could have 10 or 20 years ago, and there is lots of competition these days — that's true.


> highly dated

Article is published:

> June, 2024

I don't understand what you mean.


Most of the stuff in the article happened between ~2003-2010 at first glance, which is what he means probably (even though it was published in 2024.)


(author here) just published this story today, correct.., been writing it for months, as I've been forgetting all the weird steps I took to get here..


The stories presented are from an earlier era but maybe still relevant.


The initial events described in the article happened around 20 years ago.


but the story took place in the early 2000s.


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