Explore Problems

Freelance developers, designers, and small agencies spend significant time drafting client proposals and manually chasing responses with awkward check-in emails. Dealflow.ai addresses this with AI-generated proposals and automatic multi-day follow-ups, validated by a live three-tier pricing model.

A borrower attempting to pay off a high-interest loan in full had two separate, valid bank accounts rejected by the lender's payment system, with no customer support able to resolve it, while also disputing the lender's claimed usury-cap exemption.

A consumer revoked ACH authorization in writing but the lender continued withdrawing funds and became unresponsive to follow-up. This reflects a recurring gap in enforcing payment revocation rights and resolving unauthorized-withdrawal disputes.

An online lender charges roughly 500% APR to a borrower in a state that caps consumer interest at 30% and bans payday lending outright, operating without a required license. Borrowers have little recourse beyond individual disputes against a lender ignoring state law.

Customers report that banks process delayed merchant settlements out of chronological order, or backdate transaction postings, in ways that artificially trigger overdraft fees. This is a structural practice in account fee mechanics affecting checking account holders broadly.

A borrower paid off an RV loan in full, yet the lender continued withdrawing payments and demanding additional interest with no response to written disputes. This highlights a recurring loan-servicing failure around payoff processing and post-payoff overcharges.

A consumer disputes that a lender continues reporting a charged-off account past the FCRA permissible reporting window, and the dispute has gone unresolved for over 45 days. This points to a broader gap in tools that help consumers track and enforce credit-reporting compliance deadlines.

After having their phone, debit card, ID, and cash stolen, a customer filed fraud disputes with supporting police reports, but the bank denied the claims and closed the account without what the customer describes as a fair investigation.

A user believed their meeting was being transcribed by an AI note-taking tool, only to discover afterward that no recording or summary was captured, with no in-app notification of the failure. This silent-failure mode risks permanent loss of meeting insights and highlights a missing reliability signal in AI meeting assistants.

A crypto exchange customer had two withdrawal requests stuck pending for over 72 hours with no notice, explanation, or access to human support, leaving them unable to access their own financial assets.

A customer's bank closed their accounts and withheld funds amid handling of multiple wire transfers, including a $250,000 outgoing wire the bank itself recalled. The lack of transparent process around fund release during account closure leaves customers without access to large sums.

AI agents operating autonomously can inadvertently expose sensitive credentials during task execution, with no built-in guardrail to catch this before damage occurs. A builder created a checkpoint tool after experiencing this firsthand, highlighting a systemic gap in agentic AI security tooling.

A business account holder faced unauthorized ACH transfers but could not report them within the bank's 60-day window because the bank itself had frozen access to the account. The bank denied reimbursement citing the same deadline its freeze prevented the customer from meeting.

Applications built quickly with AI coding tools like Replit, Lovable, and Cursor often go to production with unaddressed access-control vulnerabilities, and their builders typically lack security expertise. High engagement (532 upvotes) suggests broad resonance, though it surfaces via a solution launch rather than direct user complaints.

A bank customer discovered roughly $4,000 in unauthorized debit card charges after their account information was obtained by a third party. The case reflects ongoing exposure of debit accounts to compromised-data fraud.