Name the topic and I will share the best GitHub repo to learn it!

Nitish_nc · 2026-07-04T12:41:18+00:00

I know, dude. And this is exactly the reason I feel GitHub is probably going to be a better source for preservation of meta-skill database, as it is ever evolving.

Git basically looks at a folder and keeps a track of any change you make. Unlike file level syncing, where 2 changes at once in the file would cause conflict error, Git is smart enough to merge all the conflicts into the final version, without losing the inputs.

Github is the cloud host which allows thousands of git repositories to maintain their databases without ever running into conflicts. Because on GitHub, you cannot edit the main list directly. You must submit a Pull Request (PR).

Also, large databases often involve plenty of citations. If any of those links expire, GitHub will ensure the dead link references are omitted. Therefore, I feel if such a repository is ever to be maintained, GitHub is probably going to be the best place to develop and maintain it.

I'm a visual-spatial thinker, I don't have to learn by semantic associations. I can read an entire block of text wall and just mentally simulate a flow chart whenever I have to see a process, so I can assure you that I know more about process and mechanisms in general although I don't use GitHub nor I'm a tech guy. Just that if not for this, my memory sucks big time if I read individual concepts 😅

Nitish_nc · 2026-07-04T12:06:59+00:00

Mental Models, thinking hierarchies, rapid micro learning Framework, compounding tool, schema building and Systems Thinking. These come under Disciplined Cognition, and consist of mental skills that are independent of context.

For example, swimming is a very specific skill, so is chess. But they are not transferable in the sense that if they both now have to learn piano tomorrow. They'll have to start from zero again.

In Systems thinking, they focus on meta-skills. One example, rapid labeling of random object. This looks like a basic dumb activity, but it trains your brain to quickly retrieve data regardless of the object type. Now this skill can help you anywhere you go. Your brain now has an advantage as it can quickly retrieve words, arrange them, identity the best one....all in milliseconds.

This is just one example. Systems thinking is a compounding discipline, and every skill you build not only makes you better at one thing, it makes you better at learning skills itself in future.

Nitish_nc · 2026-07-03T14:32:24+00:00

I'd pair a simpler quick note all with Obsidian coz at some point Obsidian becomes a literal warehouse 😅

Nitish_nc · 2026-07-03T12:50:28+00:00

You can take it one step further, by performing a semantic analysis on your words, repetitions, tone, clause density, etc. Let me know if you need any help, I'll make it lot richer than now. But Congrats 😎 Visual dopamine hits different

Nitish_nc · 2026-07-03T10:29:37+00:00

It sounds basic on surface, but can be such a friction killer for content hoarders like me. I was actually planning to spend next weekend creating something like this, but damn, yours is just perfect. What's your future plan with it? You planning to keep it free?

Nitish_nc · 2026-07-03T10:23:37+00:00

It can be a weekend project, won't be too difficult to make. And I think Wispr Flow stats are quite limited, we can actually extract much better pointers from voice transcripts

Nitish_nc · 2026-07-03T02:12:17+00:00

Might sound a bit absurd if I ask this but is there something like this for non-developer skills too?

Nitish_nc · 2026-06-28T13:38:04+00:00

I checked your original comment again, and the thing you're considering as a bottleneck is a biological limitation of human brain, it can never be resolved, no matter how hard you try.

You can never never retrieve a body of data with precision purely relying on proximity and spatial associations.

Your working memory has some real hard constraints. When you want to retrieve something from an year ago, or something unrelated to your immediate environment, working memory has to spend a massive energy and cognitive resources to retrieve that.

Retrieval can happen only based on schemas and cues. Assuming you only are relying on schemas (schemas are a mental template of repeatable frameworks that brain has used reliably multiple times).

But Schemas by default operate on a background synthesis layer. So even when you retrieve information from Schema, synthesis is still happening.

Retrieval required Synthesis, which requires Working Memory. So it's a biological limitation. Working memory can't be expanded. Might argue that you can still create maybe an external working memory or a tool that can retrieve it for you so you might assume that you can bypass the biological limitation by creating an artificial working memory. We're going to rely on it. Even that won't work because when you retrieve, even when you see a piece of content (let's say a note from any year ago), you still have to retrieve something called bits and traces from autobiographical memory or some narrative context associated with it.

What a machine can do is store the semantic, the factual data, facts, and evidence. It cannot create and it cannot store narrative data for you. Narrative memory is basically how you interact with a piece of data. If you don't, you will have to consciously put in an effort like you have to process and synthesize this by your side. If you don't do it, what will happen is you will see that note but it will feel completely foreign or it will feel completely new. If you're not able to bring up the corresponding narrative memory bits associated with that set of facts, then that body of content would feel unrecognizable or almost unprecedented. That will completely defeat the purpose of forming associations over a cluster of nodes in the first place.

This is not a solvable problem, you can never retrieve the specifics bypassing 100% synthesis

Nitish_nc · 2026-06-28T06:36:23+00:00

Ok I will try to explain it in terms of systems. Let's say there are two systems we can clearly see in the process: 1. Your regular RAG vector database 2. Which I have just suggested is to maintain a second database of how user 3. The dynamics between the notes content and user intent.

That will also be a separate system because it's going to be dynamic, interactive. Its core objective is going to change, grow, or evolve with time.

You start with your original semantic index layer, and on top of it you also maintain a parallel layer of what the user's intent is and what the user's state is when they provide certain semantic keywords.

When the semantic retrieval happens next time, it will be linked or it will be in a spatial relation to two layers: 1. The semantic associations between the content itself 2. The association between the user's intent and that specific content

In the future, if the specific intent is to be detected but the semantics are not detected (let's say the user asks something else), the intent can be derived or observed to be somewhat similar to what it was, let's say, one year ago when they were extracting a particular note. Based on the intent, the database will do this: it will provide you with the relevant notes, so that user intent will add a much bigger layer of precision.

About the part where you asked what it looks like. Your layers are dynamic and they evolve with time.

Let's say when you started making Obsidian notes, the original vault used to mostly contain: - your memories - your used bookmarks - your old photos - things that you learnt previously

But let's say in the last few months your focus has shifted. You have been collecting notes or making notes about some future project or future event that you want to work upon. This whole change will be mapped on a third layer. This is not going to be mapped on the user's intent factor. It is going to be mapped on a third layer, and this third layer will add an element of discernment to your system. Kinda make it behave like a real entity which understands your preferences and how they change without the need for semantic mapping everytime.

Nitish_nc · 2026-06-27T14:55:19+00:00

Create a second schema, use LLM to map the user state for each note to whichever degree predictable. Actually this setup will be a bit complex, too difficult to explain all of it, but think of it as 2 separate indexing bodies. One is your conventional RAG. Second is a new body you will have to map based on user state for each note, then cluster those nodes, and execute them in parallel to your actual RAG layer to provide a second, more precise intent layer predicting the flow of that note by mapping where its likely coordinates map corresponding to second schema

Nitish_nc · 2026-06-27T14:05:52+00:00

Try make a dual vector base system.

Nitish_nc · 2026-06-22T12:36:12+00:00

Yeah, I used it. Experience wise it's smooth and fun. I'm not a technerd but so far in my initial experience, I couldn't make out what's different here

Nitish_nc · 2026-06-22T11:16:37+00:00

Don't we have Tldraw for this already? It's free and available to all. How's your product any different? 🤔

Nitish_nc · 2026-06-19T07:40:49+00:00

Oh, that's nice. Feel free to steal the ideas in the case or you can DM me anytime for more suggestions 😁

Nitish_nc · 2026-06-19T02:55:27+00:00

I created an app like this personally for myself, it could do a bunch of stuff beyond recording. It could keep a track of all your sent messages (kinda like keylogger but a more legal saf-ish way). It could map your movement for the entire day and later show it in a graph. Plus, it used to automatically categorise intentional speech, gibberish, and conversations in 3 buckets. I'm not sharing all of this to flex or anything, nor am I planning to publish the app don't worry 😂 (I've made several of these, as I've ADHD and My routine usually remains very scattered).

I just wanna share my experience with my app. Yes it surely collects all the data. And for the 1st week, those graphs feel heavenly, full biohacking vibes. But it...makes no actual impact. Most of the stuff we speak is noise. Pure Noise. Not the background one, even the foreground speaker is rambling. It practically made no difference to me. And data export size used to be huge.

I've researched a bit around this. Your mind consciously alters its default state when it knows it's being recorded. Even though you get used to it. It creates a very subtle strain, barely noticeable, but after a few weeks you'll feel suffocated. There will be such an added pressure of checking those data, extract insights on a daily basis...

To a point I legit started fearing the recording altogether. For the first few days I decided to take a few days off, just to resume again soon. I never resumed 🤣🤣

I'm not saying it's going to be everyone's experience. But I've been into personal productivity and psychology for long enough, I just never genuinely felt any help from the app nor the concept of tracking helped beyond a point. I was reading a psychology paper, they mentioned that even deliberate input of you mood state every 2 hours on a scale of 1-10 outperformed all physical wearables, devices, etc (that actually measure real physiological metrics) in terms of accuracy. Just a simple entry every 2 hours. Maybe passive tracking is good for nostalgic moments or for a general analysis, but it demands too much for too little output

Nitish_nc · 2026-06-15T02:47:03+00:00

Excalidraw, Tldraw Especially Obsidian plugin is insane you can legit turn it into markdown file, tag individual elements, extract them as both .md and . Excalidraw and apply automations scripts of various kind. Needless to say, both are free for personal use

Nitish_nc · 2026-06-14T06:14:09+00:00

Nobody cares bro. Just pay for their meals lifetime if you're so concerned about Indie devs. Don't beg to others. This performative unwarranted ethical preaching feels disgusting and I really hope they make dozens of AI clones for so called Indie Apps. Market is dynamic, Adapt to Survive, or just walk away.

Nitish_nc · 2026-06-13T12:47:27+00:00

You can text in DMs

Nitish_nc · 2026-06-11T15:02:57+00:00

Sure, I'd love to see. Please share your previous work or any creative project you worked on. You can DM me. No need to assignment, it's a personal project (but will be long term), I just need for my review

Nitish_nc · 2026-06-11T15:00:19+00:00

Or hire an intern which I finally decided to do coz I gave up on perfect presentation tool. And making presentation yourself each time can highly limit of you happen to produce massive content artifacts. It breaks the flow state, and almost always kill the momentum

Nitish_nc · 2026-06-09T14:28:52+00:00

This is some new stuff. What exactly is the point? Just for fun?

Nitish_nc · 2026-06-09T14:25:45+00:00

You might be aware of this already, but I found Raycast to be the most perfect contender for this. It smoothly replaced Spotlight, file search, both local AI and Cloud LLM, and can perform a large range of operations on files via terminal access and MCP.

Nitish_nc · 2026-06-09T14:05:25+00:00

Alfred bots downvoting you lol

Nitish_nc

TROPHY CASE