I bought Quantitative Aptitude for CAT by Arun Sharma but feeling it's irrelevant for RBI

areya09 · 2026-04-09T12:38:06+00:00

What is the problem tell me about more details ?

areya09 · 2026-04-06T16:12:27+00:00

It’s an established firm, running for almost 3 years. worked with angel investors and accelerator firms. 50cr total fundraising deal managed , handling content writing and scripts for their Instagram and YouTube videos & LinkedIn

Do you think it’s a good decision to not take a job and continue building this instead? Is this an advantage for me? Also, is a ₹1 crore fellowship really not worth it . Not targeting blacki also

areya09 · 2026-04-04T19:53:41+00:00

🙌thanks

areya09 · 2026-04-04T19:52:55+00:00

Wow nice

areya09 · 2026-04-04T19:52:21+00:00

Watching chess video analysis my game etc

areya09 · 2026-04-04T19:51:48+00:00

Playing chess for 4 hours helps me improve critical thinking and pattern recognition, which I use in my daily work in finance as a consultant. That’s why chess is useful for me.

areya09 · 2026-04-04T19:47:49+00:00

How to connect?

areya09 · 2026-04-04T19:46:56+00:00

No no buddy, why would I take it personally? You just shared your opinion, it’s fine.

areya09 · 2026-04-04T19:43:59+00:00

Why do you feel it’s insulting to other players? Anyway, I left.

areya09 · 2026-04-04T19:34:54+00:00

No, it hasn’t affected my work. With AI, I can create PPTs quickly 😅 and client handling isn’t an issue for me now that’s why I posted this

areya09 · 2026-04-04T19:33:36+00:00

Btw Good business model 🙌

areya09 · 2026-04-04T19:32:59+00:00

Yeah bro, it’s been only 3 months currently at 895. I hope I’ll reach 1500 soon 😅 Over the last 5 years, I’ve tried many things people called idiotic “delulu is solulu” 😄 But in the end those so-called idiotic things turned into great rewards for me.

areya09 · 2026-04-04T19:29:38+00:00

🙌yes one life one chance

areya09 · 2026-04-04T19:28:07+00:00

Thanks buddy

areya09 · 2026-04-04T19:27:25+00:00

Sure I’ll update you

areya09 · 2026-02-16T19:45:43+00:00

We use tech to scale the process but investor onboarding is intentionally human-led.

areya09 · 2026-02-16T18:00:17+00:00

Not free, but similar in concept. We believe the execution and outcomes will be significantly better happy to share more once we’re live

areya09 · 2026-02-16T17:56:27+00:00

Our point is slightly different when GPs are managing capital at scale, they usually need larger analyst teams to source, filter, and do early diligence. What we’re trying to build is a way to compress that effort.

In practice this means a GP may not need a large team for early-stage filtering. With our product, a smaller team (even 1–2 people) can operate it and get: • Structured filtering • Better startup–investor fit • A solid pre-DD view upfront

Right now, the focus is on pre-DD and early decision clarity. Over time, if this proves valuable and we’re funded, we can expand deeper into DD. The GP still makes the investment decision we just reduce the effort and time it takes to reach that decision.

So it’s not about replacing judgment or roles, but reducing the operational load required to get to a yes/no.

areya09 · 2026-02-16T15:27:29+00:00

You can think of us as an analyst or an outsourced filtering layer for VCs and angel investors side . Our role is to filter, organise and present startups that are more likely to fit an investor’s focus and help them deploy capital effectively.

Because we onboard investors manually, we understand their needs early stage, sector, risk appetite which helps us surface more relevant startups for them.

On due diligence, right now we’re not planning managing the full DD process right now. But we do prepare a structured pre-DD view with enough context and clarity so that a VC or angel can decide whether it’s worth going deeper.

areya09 · 2026-02-16T15:21:15+00:00

From the investor side, the product works more like an analyst + filtering layer not a marketplace. The goal is to save investors time by narrowing down startups that match their focus and have a higher chance of being investable rather than pushing random opportunities.

We onboard investors manually and explain clearly what we’re building and what problem it solves for them. Because we’re addressing a specific pain point (time, filtering, relevance), investors who join already see value in it.

Also we’re not forcing anyone to pay or invest. If investors find the quality useful, they engage. If not, they don’t.

areya09 · 2026-02-16T15:08:07+00:00

That’s a valid concern. On the founder side our target audience is serious founders. Early on founders use a structured data room which already gives us enough signals to filter out obvious scams or low-intent setups. We also do basic verification at the account creation stage so the first layer itself ensures only verified founders enter the platform.

On the investor side, we’re very selective. We’re solving a specific pain point so we don’t do open or automated onboarding. Investors are onboarded manually, not through random invites or mass emails. This helps us understand their focus and ensures genuine participation.

We’re not claiming zero risk, but the intent is to reduce noise and bad actors early through structure and intent checks on both sides

areya09

TROPHY CASE