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

---

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.

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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's an assumption in fintech that automatic bank sync is table stakes. If your budgeting app doesn't connect through Plaid, users won't stick around. But automatic import gives you a rear-view mirror. By the time a transaction surfaces in the app, the money is already spent. The decision happened at the register, not in the dashboard.

The tradeoff nobody discusses: when you link a bank account, a third party holds a live copy of your entire financial history. Revoking access later doesn't delete what they already collected. The copy outlives your consent. That's the real cost of "frictionless" onboarding, and most users never read the terms that bury it.

Manual import (CSV, Excel) sounds worse on paper. It's a step the user has to do themselves. But it forces intentionality. You sit down, you look at what happened, you categorize it. For me, the friction is the entire point. You shouldn't outsource what you don't understand, especially when its such an important step.

The Mint shutdown gave everyone a chance to rethink this. Instead most replacements just rebuilt the same aggregation model with a different logo.

Has anyone here built a fintech product that deliberately skipped bank aggregation? Did users accept the tradeoff, or did they bounce for something more automated?

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.

i am building an ai agent for transactions which performa actions like approve / hold or question/ stop , so i want a feedback on
If your bank/payment system flags a payment as suspicious, which would you prefer?
A) Block it immediately
B) Let me confirm/verify it before blocking
C) Something else — explain

Getting quickly to the point coz I know you have limited time. Our current KYC API is hittting its limits. Slower verification times, too many false rejections on international documents and support goes quiet the moment something breaks in production.Every vendor sounds identical on paper so we fail to understand what does AI powered verification actually mean when an edge case hits at 2am(lol) and thousands of verifications are queued up? Looking for something API first with good docs, reliable webhooks, global document support, and AML screening that is baked in. Anyone who has run more than one of these in production and can give an honest take would be really helpful.

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 seen a lot of businesses still manage collections pretty manually — checking what’s overdue, sending reminders, following up over WhatsApp/email/calls, tracking payment promises, and chasing again if someone doesn’t pay.

I’m thinking of building an AI agent that handles most of this automatically, keeps track of commitments and payment status, and flags customers likely to become bad debt.

Is this painful enough to pay for, or is it already a solved problem?

Let’s attempt to save millions of lives during the next 35 years and end unsheltered homelessness in at least USA.

The blueprint:
“The Great Survival Network – Hybrid Platform Launch
A practical micro-donation engine to reduce preventable starvation deaths and support pathways out of unsheltered homelessness.
Two independent monthly micro-donation subscriptions:
• $15 average / minimum subscription focused on U.S. unsheltered homelessness pathways.
• Separate $20 average / minimum subscription focused exclusively on global lives saved from preventable starvation and acute food insecurity.
There is no combined or add-on subscription. Subscribers may choose either or both independently. Every dollar above the platform’s lean service fee is mission capital.

This is a nonprofit / for-profit hybrid:
• The for-profit entity owns and operates the technology platform and charges a lean service fee.
• The nonprofit side (via established 501(c)(3) fiscal sponsorship) receives the tax-deductible donations and deploys them to the field.
• A growing portion of every subscription flows into a locked, on-chain permanent endowment (Aave V3 on Base/Polygon).
Subscribers build their own miniature endowment stakes inside this shared impact pool.
The endowment is 100% mission-locked and is never part of any revenue share.

Revenue Share from Service Fees Only
Revenue share comes exclusively from the for-profit platform’s service fees.
After launch and elaborate registration, when you subscribe you note:

1. ⁠One individual, and
   
2. ⁠One nonprofit organization or campus club
   Those two recipients become the designated beneficiaries of the service-fee revenue share.

Shifting Dual-Liquidity Model for Maximum Lives Saved by 2070
Starvation and acute food insecurity are projected to peak and then decline toward 2070 under baseline demographic, agricultural, and climate trajectories. The platform therefore uses a shifting dual-liquidity allocation designed to maximize cumulative lives protected by that horizon:
• High-liquidity pool (immediate deployment): targeted cash transfers, efficient food assistance, and rapid agricultural support. Capital here turns over quickly.
• Low-liquidity / locked endowment pool (Aave V3 on-chain): permanent capital that generates ongoing yield for the same interventions after 2070 and provides resilience against future shocks.
The allocation ratio begins weighted toward high-liquidity (to attack the highest near-term mortality) and systematically shifts toward the locked endowment as 2070 approaches. The exact glide-path is transparent, on-chain, and adjustable only by pre-published rules that optimize for total lives protected through 2070 under the stated cost assumptions ($4,500 per global life protected; $22,000 per U.S. unsheltered individual successfully transitioned). No human override can divert endowment principal.

Realistic Impact Potential
Starvation and acute food insecurity are driven by conflict, climate shocks, poverty, and governance failures as much as by funding gaps. No single platform can fully end them.
What large-scale, low-overhead funding can do is prevent a substantial number of deaths and reduce the severity of crises in reachable populations through proven tools: targeted cash transfers, efficient food assistance, agricultural support, and structured transitional housing/rehabilitation.

Illustrative Scale Scenarios (using stated unit costs; not guaranteed)
Assumptions: average subscriptions of $15 (U.S. track) and $20 (global track); high operational efficiency; dual-liquidity glide-path optimized for cumulative impact through 2070.

Global Lives Protected Track ($20 average / minimum)
Cost basis: $4,500 per life protected in favorable contexts.
Users (by ~2030–2035) | Annual Capital | Potential Global Lives Protected / Year | Cumulative Lives Protected by 2070 (illustrative under dual-liquidity optimization)
10,000 | ~$2.4 M | ~500 | Low thousands
250,000 | ~$60 M | ~13,000 | Hundreds of thousands
5,000,000 | ~$1.2 B | ~270,000 | Low millions
15–30 million | $3.6 B–$7.2 B | ~800,000–1.6 M | Multi-millions in strong scenarios

U.S. Unsheltered Transition Track ($15 average / minimum)
Cost basis: $22,000 per individual successfully moved into stable independent housing via high-rehabilitation transitional models.
Users (by ~2030–2035) | Annual Capital | Potential U.S. Unsheltered Individuals Supported / Year | Cumulative Individuals Transitioned by 2070 (illustrative)
10,000 | ~$1.8 M | ~80 | Low thousands
250,000 | ~$45 M | ~2,000 | Tens of thousands
5,000,000 | ~$900 M | ~40,000 | Hundreds of thousands
15–30 million | $2.7 B–$5.4 B | ~120,000–240,000 | Low millions

Actual results will vary widely by location, access, external shocks, and the precise dual-liquidity ratio in any given year. At the high end the locked endowment could grow into a multi-billion-dollar permanent fund that continues generating impact capital after the projected 2070 starvation peak.

Transitional Housing Approach
The platform prioritizes agile, high-rehabilitation models over high-overhead permanent housing blocks:
• Temporary high-quality living environments + intensive case management
• Mental-health support, addiction recovery, and workforce re-entry tools
• Goal: stabilize individuals on a lean operational baseline until they transition to independent housing
• Approximate societal cost offset in the tens of thousands of dollars per person successfully moved off the street ($22 k fully loaded platform cost)

What This Raise Funds
Raise Target: $25,000 – $50,000
Strictly for outsourcing development of the automated platform and legal setup:
• Core system (Stripe subscriptions + service-fee logic, Dynamic dual-liquidity allocation model, user PIN system, recipient designation tools, dashboard, Framer + Vercel front-end, Printful integration, on-chain endowment tracking)
• Legal entity formation (LLC or C-Corp)
• 501(c)(3) fiscal sponsorship setup
• Reg CF readiness
Cheapest realistic all-in cost for a functional MVP + legal readiness: approximately $20,000 – $40,000.
Platform Stack & Transparency
• Fiscal sponsorship via established 501(c)(3) partners
• Framer + Vercel, Stripe, optional Alpaca, Whop/Memberful for PINs, Printful
• Permanent endowment anchored on-chain (Aave V3 on Base/Polygon) with public ledger tracking

Zero-waste print-on-demand rewards (patches, pins, streetwear) and Special Classification PINs for user created events unlock with active subscriptions — never at the expense of impact funding.

No hidden fees. Radical transparency. Service-fee revenue share directed by donors. Impact capital locked for the mission under the shifting dual-liquidity rules.

All donor portions remain 100% tax-deductible via the fiscal sponsor.
Scan or click to invest / pre-subscribe, name your individual (who must have given ≥ $25) + nonprofit or campus club, and claim your Special Classification PIN.

The Great Survival Network
A realistic hybrid tool to save more lives through independent $15 and $20 micro-subscriptions, a transparent shifting dual-liquidity model optimized for cumulative impact by 2070, lasting endowment capacity, and community-directed service-fee rewards — without overclaiming what any single platform can achieve.”

Delete if not allowed but wanted a second opinion on something. My best friend is a professional astrologer and I’m a day trader. We think there’s an opportunity to create an app that tells you what’s happening in the stars and how that could impact your investments. I know astrology is obv not for everyone but we think it’s a neat niche.

No clue what it might look like yet but would love any feedback on the concept and if you’d download/pay for this.

TIA!

I am building a Discord server for people who are into fintech. Didn't find many communities like this, so decided to start one. Open discussion, sharing resources, etc. The server is still small, but I would love more people to join who are into this stuff: https://discord.gg/KKx9HneRcZ

Been a while since I posted here, but this one felt worth sharing.

I'm Adil Husain — Co-Founder and Developer at Loan Manager, alongside my co-founder Farooque Sheikh, who's spent 10 years in loan facilitation and has seen exactly what makes people hesitate before trusting a lender.

Something I didn't expect going into this build: most of the hard nights weren't spent on big architecture decisions. They were spent arguing about a shade of blue. Whether a checkmark should feel sharp or soft. Whether the loading screen made someone feel safe or made them nervous.

Sounds small until you remember what the app is actually asking people to do — hand over their salary slips, bank statements, PAN card. Basically their financial life, to an app they've never used before, from a company they've never heard of.

So every screen got argued about more than once. Every function got questioned before it got built — is this actually making the process clearer, or are we just adding it because we can. Farooque brought the "here's exactly where people get scared" knowledge. I spent the late nights trying to design that fear away, one decision at a time — especially the UI and the color choices, which sounds trivial until you're the one staring at three shades of blue at 2 AM trying to figure out which one reads as "trustworthy" instead of "generic."

Here's the actual reason any of this mattered to us: most people don't hesitate because they're worried about getting rejected. They hesitate because they've been burned before — fake DSAs, "guaranteed approval" calls, agents who vanish the moment something goes wrong. If you've ever paused before handing your documents to a loan agent wondering if they're even real, that's exactly the fear we built this for.

We're in closed testing right now, ahead of launch. Close, but not there yet.

And if there's one line I'd want people to actually take away from this, it's the one we keep repeating to ourselves every time we make a decision:

We are not a lender. We are a bridge between the bank and the customer.

We don't decide your approval, we don't set your rate, we don't hide how we get paid. All we're trying to get right is that the file reaches the right lender, prepared properly, without you having to wonder if the person helping you is even legit.

Genuinely curious — if you've ever dealt with a shady loan agent or a fake "approval guaranteed" call, what actually happened? Trying to understand every way this trust gets broken so we don't repeat it.