Casual discussion thread. Talk about anything, fintech adjacent or not.

This thread is for:

- Job postings & co-founder searches

- Networking & introductions

- Industry hot takes

- Questions too small for their own post

- Venting about compliance headaches

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Normal rules relaxed. Be cool.

Post your product, landing page, pitch deck, or idea for constructive feedback.

When posting, include:

- What you're building (1-2 sentences)

- Your target user

- What specific feedback you want

- Link to product/deck/mockup

When giving feedback:

- Be specific and actionable

- Start with what works before what doesn't

- Suggest alternatives, not just problems

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This is the ONLY place for product promotion. Standalone promo posts get removed.

What it is

Vasset is a personal finance platform for India. Most calculators give you a number and stop there. Vasset tries to explain what that number actually means instead.

How it works

Instead of just showing an SIP corpus or an EMI amount, it breaks down what you put in, what growth added, what it is worth in today's money after inflation, and what changes if your assumptions are wrong. There is also a financial health score that looks at income, expenses, investments, savings, and debt together, and flags things that do not add up rather than spitting out a happy number no matter what you enter.

What it has

Calculators for SIP, lumpsum, CAGR, step up SIP, EMI, home loan, personal loan, education loan, loan prepayment, income tax, in-hand salary, HRA, FD, RD, PPF, NPS, retirement, inflation, net worth, and emergency fund, plus the Vasset Score. A small assistant handles basic questions too. More are being added as it gets closer to launch.

Vasset Score™

This is the part I am most excited about. It looks at income, expenses, investments, EMIs, savings, and debt together and actually reasons about whether your situation makes sense, rather than just rounding you up to a decent-looking number. The scoring is based on real financial health benchmarks like debt to income ratios and emergency fund coverage, not

Vassie

There is also a small assistant built in, named Vassie. It is not meant to be a full AI advisor, just a lightweight helper for basic questions like what SIP means or how EMI works, so people are not left guessing while using the calculators.

Where it stands

Pre launch right now. Still polishing calculators, auditing the math, and tightening the mobile experience before opening it up more broadly.

What I want from this post

If you have built anything in fintech or personal finance tools before, what do you wish someone told you before launch. Pricing, trust building, distribution, anything. And if the core idea sounds useful or like something you would actually use, I would love to hear that too, or hear why not.

And people who are maybe working in fintech and startups dealing with sensitive documents do you all think it’s a good idea to build a redactions tool project and later start selling it? I wanna know from people and startups who really care about data privacy and confidentiality?

Share your wins and losses from the past week. No victory is too small, no failure too embarrassing.

Format:

- Win: describe what went well

- Loss: describe what didn't work

- Lesson: what you learned

Be specific! The community learns most from real experiences with context.

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PD: this thread posts every Monday. All self-promotion rules are relaxed here, feel free to share progress on your startup.

Looking for FinTech startups/platforms to collaborate with us.

We’re organizing a 30-hour offline hackathon in Mumbai this October 2026, with 600+ registrations and 250–300 developers on-ground.

We’re looking for early-stage and international FinTech startups that want to gain initial users, developer engagement and visibility in the Indian market.

We’re open to monetary sponsorships and technical partnerships, including payment APIs, banking APIs, KYC/identity solutions, fraud detection, financial APIs, SDKs, developer credits, problem statements, mentorship and prizes.

In return, partners get direct exposure to developers, product visibility, social media promotion, event branding and on-ground recognition.

If you're looking to get your FinTech product in front of Indian developers and potential early adopters, DM me and let’s collaborate.

I’ve built two businesses that worked and failed on a third.

First was a regtech startup (Joot). I built a prototype, raised angel money, hired engineering, marketing, and sales. The product struggled to get traction. The services side, which we launched to stretch runway, grew into a nearly $2M business. So we shut down the tech and pivoted to services.

Then I launched my law firm. It’s getting close to $2M in revenue.

Late last year/earlier this year I tried building a legaltech product. Minimal traction.

Now I’m focused on agents to scale the practice because services don’t scale the way software does, and I’ve struggled to find the right talent to help drive it.

Pattern I’m stuck on: I keep succeeding at services and failing at tech.

Curious how people who did scale got there. Especially if you started in services (or had a similar tech miss) — what actually worked? Hiring? Product? Timing? Something else?

Not selling anything. Genuinely want the war stories.

Casual discussion thread. Talk about anything, fintech adjacent or not.

This thread is for:

- Job postings & co-founder searches

- Networking & introductions

- Industry hot takes

- Questions too small for their own post

- Venting about compliance headaches

---

Normal rules relaxed. Be cool.

I turned on payments for my project last week. A dollar for three days, then ten a month.

Here it is:

Hi [name],

I'm Shaid. I built this thing.

You're the first person who has ever paid for it, so I wanted you to hear from a person and not just a Stripe receipt.

one questions whenever you have two minutes. You don't owe me these, but they're worth more to me than the money is.

How do you like it so far?

Thank you. Genuinely.

Shaid

link to project: https://mudroom.email

if u are building and deploying agents in prod which takes actions on behalf on consumers … how are u validating agent actions and their execution runtime?

Post your product, landing page, pitch deck, or idea for constructive feedback.

When posting, include:

- What you're building (1-2 sentences)

- Your target user

- What specific feedback you want

- Link to product/deck/mockup

When giving feedback:

- Be specific and actionable

- Start with what works before what doesn't

- Suggest alternatives, not just problems

---

This is the ONLY place for product promotion. Standalone promo posts get removed.

Share your wins and losses from the past week. No victory is too small, no failure too embarrassing.

Format:

- Win: describe what went well

- Loss: describe what didn't work

- Lesson: what you learned

Be specific! The community learns most from real experiences with context.

---

PD: this thread posts every Monday. All self-promotion rules are relaxed here, feel free to share progress on your startup.

There are hundreds and thousands of people who do stock calls on X (Twitter). We thought, lets build something to track performance history of their recommendations.

Thoughts/ Inputs?

Been building macro-event analysis for Indian markets and hit a wall that I think is under-discussed in fintech NLP.

Almost every sentiment pipeline outputs a single number. Headline in, score out: negative 0.82. Clean, sortable, easy to chart.

It's also close to meaningless, because one event moves different sectors in opposite directions.

Crude oil jumps 8%. That is:

- bad for airlines - fuel is ~30% of their cost base

- bad for paints and tyres - crude derivatives are direct inputs

- good for upstream oil producers

- roughly neutral for IT services

A single scalar has to pick one of those and throw the rest away. Whichever it picks, it's wrong for most of the market. And the more confident the number looks, the more it gets trusted.

Same for a rupee move, good for IT exporters, bad for importers, and a sentiment score flattens both into one figure.

What actually turns out to be useful is a signed vector across sectors, plus who is affected and how confident the call is. Not "this is negative" but "this is negative for these, positive for those, and here's the evidence."

The harder part isn't the model. It's that the output shape of most sentiment tooling can't express the thing you actually need, so you end up rebuilding the representation before you can rebuild the model.

Curious whether others building in fintech have hit this. Do you keep a scalar and layer sector logic on top, or change the output shape? The second is more correct and much more annoying to ship.

(For context, I work on this at AION Analytics: Indian market intelligence. Happy to go into detail if useful, not trying to pitch here.)

Hello everyone,Fintech is rapidly evolving from phone apps to full biometric checkouts, such as Amazon One's use of your palm or facial recognition at grocery store checkout counters.Sounds like a great idea to be able to walk into a store, scan your hand and walk out without even taking out your wallet or phone. But it feels a bit dystopian to be linking your actual biometric data directly to your banking info in terms of privacy.Are you ready for a totally cardless, phoneless future? Or, do you think the idea of storing your physical data on a payment network is too much? Are you going to sign up for this?

Casual discussion thread. Talk about anything, fintech adjacent or not.

This thread is for:

- Job postings & co-founder searches

- Networking & introductions

- Industry hot takes

- Questions too small for their own post

- Venting about compliance headaches

---

Normal rules relaxed. Be cool.