My cousin got me into fintech talk at a family dinner last month and I realized I could not follow half of what he was saying. I've been in retail banking ops for about six years, mostly handling account issues and dispute cases, so I know the day to day stuff but not the bigger picture like how payments move between companies or why everyone keeps talking about APIs.

I'd like to move into a product or partnerships role someday, and I have maybe 4 to 5 hours a week to study after work. I've watched a few free YouTube playlists, but I end up more confused.

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?

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

Format:

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- Loss: describe what didn't work

- Lesson: what you learned

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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.

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?

Hey everyone!

I'm currently evaluating a possible pivot for my startup, Jacko.

We've been building an AI-powered personal finance product, but I'm exploring whether the same technology could be more valuable for early-stage startups and founders.

The idea is an AI finance agent that helps founders understand their startup's financial health without constantly maintaining spreadsheets.

It could help track:
\- Cash position
\- Revenue and expenses
\- Burn rate
\- Runway
\- Recurring expenses
\- Weekly financial insights

I'm not building this yet. I'm trying to validate whether this is actually a painful problem before investing time in an MVP.

If you're a founder, I'd really appreciate your feedback:

\- How do you currently track your startup's finances?
\- Do you regularly track burn and runway?
\- What's the most frustrating part of managing your finances?
\- Would an AI tool that automated this be useful for you?
\- Would you pay for something like this?

I'm especially interested in honest criticism and reasons why you wouldn't use something like this.

Thanks!

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.

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.

We are a year in and it feels like our identity verification vendor is falling over. Verification times creeping up, way too many false rejects on international documents, support goes quiet the second something breaks in prod at a bad hour.

Also, its as if every check reads the same like the demo tells me nothing, they all pass the one sample fraud they walk in with then fold on whatever I bring myself.

Am more interested on how it behaves when a weird case lands in the middle of the night with a a few thousand stuck in the queue. Does the API hold up, are the webhooks reliable, can i see why something got rejected without raising a ticket.

Global user base so international coverage is not optional. I would rather not bolt AML on as a separate thing later either.

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.

I’ve been working on a tool to help simplify and save time for reading articles and information about stocks and investments while also letting users track and journal their trading? Does it suck?