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I'm working on https://thinktotem.com

Can't focus on reading anymore? ThinkTotem transforms books into conversations so you stop re-reading the same paragraph 5 times.

Phones and social media rewired our brains for quick hits, making traditional reading feel impossible. ThinkTotem solves this by turning books into active conversations with questions, examples, and 'explain-it-back' prompts. Instead of fighting your modern attention span, we work with it.

Does anyone want to help me figure out how to successfully do outreach?


I mean yes. It can be rewired back. But I think twitter (specifically for me) is required for my industry. I try to limit it to 30 min a day, but still I cannot cut it completely.

There are concentration exercises that can be done, but they are demanding...


> There are concentration exercises that can be done, but they are demanding...

Well you get to decide what you dislike more, having a terrible attention span or doing demanding concentration exercises.


Yes, unless it's diagnosed adhd, it's a skill that can be improved. There are serious exercises to train the attention, which help with reading attention. but they're not fun...


I used to read half an hour before going to sleep and an hour on the commute. Now in the eve I have zero will and I feel I get carsick on the commute... I even struggle with articles... This conversations seems to be the only thing that works for me lately.


To guarantee that it does not illuminate and stays on track, I pass the relevant chapters in the context window, I pass the topics to cover, the ones already covered and the latest messages exchanged. So highly relevant content as input and a refined prompt do the trick.


But context is only additive. You can give it the book content, but I don't think there's anything you can do to prevent it from bringing in unrelated info, unless you have a separate non-AI layer (e.g. connected to the RAG) that gives the user the particular snippets from the book, but even then you can't control what the AI bring to its interpretation of these snippets.

One thing that I think could be nice is if you could have it always keep the book in view, and just scroll to the appropriate place it is referring to, and then somehow highlight the specific snippet it is currently referring to, so that I could visually verify that it's giving me "grounded" information. Does your system do something like that?


It currently does not do that. It's a different way to "experience" a book. There's an argument where, like you proposed, book and tutor are on at the same time. I will keep it in mind


I can't believe the standard is 20yo.


Here the new Coupon code: D70B084B9657A047D9BA. The previous was used by a lot of people and got suspended!


Location: London, UK

Remote: Yes

Willing to relocate: No

Technologies: iOS, Swift

Résumé/CV: https://tugulab.org

Email: claudio@tugulab.org

I am looking for Lead or Senior position. Preferably as a contractor.


Ok, so you're approaching it from the technology point of view. You are interested to understand if the product/protocol is solving a real problem.

In case it is, then how do you approach evaluating the price?


The usual approach is to sum the present values of the expectations of any future cashflows.

For most cryptocurrencies, most people come unstuck at that point and just punt.

The only analytical approach I could foresee being useful would be if you could quantify the quality of the marketing of the new asset. My expectation is that that likely drives the bulk of the pricing most of the time.


This is very true. Marketing drives the perceived value a lot of the time. But this is a short/medium term trick. In the long term just the ones valuable will survive.

Do you look at specific data points to understand if the asset is overvalued or a scam?


> Do you look at specific data points to understand if the asset is overvalued or a scam?

Well yes. What you do is calculate the expectation of the future cashflows and PV them.

If there aren't any future cashflows then the fair price is zero and anything else is overvalued. That doesn't mean you shouldn't buy it but you should treat it like any other form of gambling.

If the asset creator won't release any quantifiable information about the future cashflows then the correct response is to assume it's a scam until they do.

That leaves the cases where there are quantifiable cashflows. Some smart contracts fall in this category. What you do then is analyse said cashflows and decide whether the price is justified.


This is very interesting. I follow your logic for products builds on top of blockchains (e.g. smart contract types of apps).

But for protocols like Ethereum or Stellar, how do define "future cashflows"? Do you use cost of transactions? Or what is the thinking there?


It feels like a good product. I will try it soon!

One small piece of feedback. If you open your landing page from mobile, e.g. My iPhone 7, the header height is changing all the time due to the text changing dynamically. It get hard to scroll past it and keep reading.

Cheers


Thanks - fixed now! :)


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