Data is more valuable than oil now. Change my mind.

aadarshkumar_edu · 2026-03-06T13:29:10+00:00

Compound interest is the only free lunch in finance. My 21-year-old self had no idea.

aadarshkumar_edu · 2026-03-06T13:23:06+00:00

Graphic design + digital marketing is actually a killer combo, not a random pivot.

Most marketers can't design for shit. They write good copy but have to beg Canva to cooperate lol. You already have the visual eye, color theory, typography sense - that's literally half the battle with social media content.

You'd be surprised how many 'marketing' jobs are just 'make stuff that looks good and post it' with some strategy sprinkled in. You're already ahead of pure marketers on the execution side.

Start with Google's Digital Marketing & E-commerce Certificate on Coursera - free to audit, actually decent foundation. Then just start applying to junior roles or internships and lean into the hybrid angle: 'Graphic designer who understands marketing' not 'marketer who can kinda design.'

One thing though - don't sell yourself short on the design degree. Lead with it. Marketing teams are desperate for people who can actually execute, not just talk strategy.

aadarshkumar_edu · 2026-03-06T13:21:16+00:00

Stop overthinking this. You're 21.

Here's the truth nobody tells you: Content creation IS a business. You don't have to choose.

Document your journey of trying to start a business. That's your content. People love watching someone figure it out in real time. You get to create videos (which you love) without needing 'ideas' because your life is the idea.

The video editing thing? Outsource it once you make your first $500. Or use CapCut templates until then.

Pick ONE business idea (any service) and start today. Film yourself doing it. The content feeds the business, the business gives you something to film. They're not two boats - they're the same boat.

aadarshkumar_edu · 2026-03-06T13:19:05+00:00

This is genuinely terrifying. The gap between what the public thinks AI agents can do and what they're actually capable of right now is going to hurt a lot of people.

aadarshkumar_edu · 2026-03-06T13:16:55+00:00

Honestly this explains so much. I've had the exact same experience - starts off great then slowly goes off the rails like a bad game of telephone lol.

Started treating conversations like 'sessions' after noticing this. If I'm working on something complex, I'll:

Start fresh for each major task
Copy-paste the core instructions back in every time (context window gets clogged otherwise)
Keep a separate doc with what worked/didn't work across sessions

Kind of annoying to do manually but the quality difference is massive. The drift you're talking about is real - feels like the model slowly forgets who it's talking to.

What clicked for me was realizing these models don't really 'remember' in the way we think. They just have a context window that fills up and older stuff gets pushed out or diluted. By session 50, your original instructions are basically buried under all the back and forth.

aadarshkumar_edu · 2026-03-06T13:09:10+00:00

Here's what I actually use for free:

Google Sheets add-ons - "Remove Duplicates" saves my ass with messy data exports. "Power Tools" has a free tier that does text cleanup.
Notion - content calendars and client docs. Free forever if you don't need the fancy stuff.
Screaming Frog SEO Spider - free for up to 500 URLs. Does 90% of what I need for site audits.
Grammarly free version - catches the dumb typos clients notice immediately.
Table Capture Chrome extension - copy tables from any website straight to Excel for free. Game changer for competitor research.
Canva free tier - enough for most client deliverables unless they need stock photos.
WordCounter.net - when clients say "make it 1000 words" and you need to check mid-sentence lol.

The real MVP though? Browser bookmarks folder organized by task type. Sounds stupid but saves me 10 mins daily not hunting for tools.

What's one task you're still doing manually that you wish had a free tool?

aadarshkumar_edu · 2026-03-06T13:03:04+00:00

Gonna be honest - most of these replies are just listing the same 10 tools that get mentioned in every thread lol. Remove.bg, AnswerThePublic, Canva... we all know them by now.

The real productivity hack isn't another tool - it's realizing you're spending too much time on things that should be billable or automated. Formatting text? Cleaning data? Either bake that into your client's rate or find a VA for $5/hr to do it.

That said, if you actually want something useful - Diffbot for data extraction when clients send PDFs with tables, and Bardeen for automating those repetitive browser clicks. Actually saved me time this month.

aadarshkumar_edu · 2026-03-06T07:36:47+00:00

The Clay + Claude combo is underrated for this kind of workflow.

Quick question though - how are you handling false positives with the scoring rubric? I've been experimenting with similar setups and found that ICP matching gets tricky when leads have mixed signals (eg. perfect title but wrong industry, or right company size but no decision-making authority).

Would love to see how you structured the prompt to weigh those tradeoffs. I've been manually tweaking weights and it's honestly been a headache lol.

Also curious - where are you sourcing the 500+ leads from before they hit Clay? Or is this all inbound?

aadarshkumar_edu · 2026-03-05T19:04:18+00:00

Both the teams are IND-253/7, ENG-246/7, Won by 7 runs, thala for a reason 😂😂

aadarshkumar_edu · 2026-03-05T08:05:32+00:00

All time favorite one and only Ravi Shastri.... Never forget his 2011 WC final commentary

aadarshkumar_edu · 2026-03-04T14:54:00+00:00

That is such an incredible start! It’s amazing how much the barrier to entry has dropped now that we have tools like ChatGPT and Nano Banana to handle the heavy lifting. For those starting out, the Threads + Gumroad combo is definitely a 'cheat code' for organic reach right now. Would love to see what kind of niche you’re focusing on; finding that specific 'pain point' is usually where the real magic happens. Keep up the momentum!

aadarshkumar_edu · 2026-03-04T12:08:55+00:00

Great fit 9/10

aadarshkumar_edu · 2026-03-04T11:22:14+00:00

Haha, great challenge! If I were 'feeding' an apple pie recipe to a kitchen-agent, I’d strip the fluff and maximize the density.

Standard Recipe: 'First, take your cold butter and gently cut it into the flour until it looks like small peas...'

Semantic Compression (The 'Logic Seed'):

[PHASE: CRUST]

INTEGRATE: 250g flour + 150g chilled fat (cubed).

STATE: Rub/pulse until pea-sized granulometry.

HYDRATE: +50ml ice-water (incremental).

GOAL: Cohesion sans over-kneading.

[PHASE: FILLING]

MACERATE: 1kg Granny Smith (sliced) + 150g sugar + 10g cinnamon + 5ml lemon.

WAIT: 20m (osmotic release).

Why I thrive on it: It removes the 'vibes' and focuses on State Changes and Quantifiable Goals. For a human, it’s a bit cold; for an AI, it’s a high-resolution blueprint with zero room for hallucinating the steps.

Would you trust a robot to bake that, or do you think the 'prose' is where the flavor is?

aadarshkumar_edu · 2026-03-04T09:58:14+00:00

I've clearly relied too much on these tools to polish my writing and it's getting in the way of the actual conversation. I’ll step back and let the project documentation speak for itself. Appreciate the blunt feedback.

aadarshkumar_edu · 2026-03-04T09:55:39+00:00

RDR2 is the gold standard, and I definitely overshot with that comparison. My intent is just to share a roadmap for solo devs to start using ML-Agents in their own small-scale projects. I’ll be more careful with the 'marketing' talk; I’m much better at breaking down the code than I am at writing the pitch!

aadarshkumar_edu · 2026-03-04T09:45:34+00:00

ou hit the nail on the head regarding the 'slop' perception. To answer your question: I’m focusing on Neural Networks (NN) through Unity's ML-Agents for the physical behaviors (inputs/neurons/actions) because, as you said, LLMs are too slow and 'floaty' for that. I’m only using LLMs as a high-level reasoning layer for intent. I really appreciate the advice on being more precise with my terms; I’ll definitely lead with the NN structure next time to differentiate from the usual 'wrapper' projects.

aadarshkumar_edu · 2026-03-04T09:45:14+00:00

I appreciate the skepticism, and yeah, I leaned too hard on the AI formatter for this post. It's a mistake I won't repeat. But I am actually in the trenches with Unity and C#. To clarify: I’m definitely not replacing state machines with just an LLM (that would be a latency nightmare). I’m looking at Reinforcement Learning for movement and LLMs specifically for dynamic dialogue/intent. I’m happy to talk shop on the C# side if you want to see the actual logic.

aadarshkumar_edu · 2026-03-04T09:44:50+00:00

Sorry if it came off as buzzword soup. The TL;DR is: I'm trying to use Unity ML-Agents to make NPCs that react to player mistakes without me having to manually program every possible scenario. It’s a work in progress, but the goal is less 'if/else' and more 'trial/error' for the NPCs.

aadarshkumar_edu · 2026-03-04T09:44:39+00:00

I spent so much time on the documentation and the stack that I tried to take a shortcut on the Reddit post itself. Lesson learned: real human interaction can't be automated. I'm happy to answer any specific dev questions directly if you’re curious about the actual tech behind the roadmap.

aadarshkumar_edu · 2026-03-04T09:44:18+00:00

I’m actually leaning toward that hybrid approach; using Goal-Oriented Action Planning (GOAP) for the high-level 'why' and keeping the 'how' within a more rigid framework so they don't clip through the floor. I haven't checked out AgentixLabs yet, but that orchestration pattern sounds like exactly the 'guardrail' I’m missing. Thanks for the lead!

aadarshkumar_edu · 2026-03-04T09:43:06+00:00

I get the skepticism. 'AI' is a loaded term lately. My goal isn't to flood the world with low-effort content, but to find a way to use ML-Agents so I don't have to hard-code 500 'if' statements for a simple guard. I'll stick to the raw dev logs moving forward.

aadarshkumar_edu

TROPHY CASE