Explore Problems

Monday.com's mobile app suffers from extreme lag and instability on both iOS and Android, making daily work dread-inducing for users. Each update introduces new problems rather than fixing existing ones, and the app is described as unusable for regular work.

AT&T provided written confirmation of a $815.76 billing adjustment but applied only $96, then cited a retroactive policy time limit to refuse completing the remainder — despite the delay being AT&T's own. Customers who relied on AT&T's written commitments and chose not to escalate are penalized by the carrier's internal processing failures. This pattern of using policy constraints to abandon acknowledged billing obligations is a structural carrier accountability problem.

Bank of America's automated system provides no path to a human representative, and account notification emails obscure account number digits, preventing login. The two failures create a compound lockout scenario customers cannot resolve independently.

Southern California Edison is perceived as an unaccountable monopoly that controls its regulator, makes electricity bills impossible to understand, and actively frustrates solar panel users. Consumers and businesses have no recourse against rate increases or service failures.

Gusto pay schedule cutoff times are unclear, making it hard to know when pay periods begin and end.

Google Drive mobile users experience chronically slow uploads and downloads, with stalling progress bars even on new high-end devices

ISP billing systems send payment-due alerts to accounts that are fully current, indicating a state synchronization failure between billing and notification systems. These false alerts erode trust and generate unnecessary customer service contacts. Customers have no self-service way to verify their billing state or suppress erroneous notifications.

Real estate wholesalers close multiple deals per month but cannot afford attorney fees for each purchase and assignment contract. Template services exist but require customization, and slow attorney turnaround kills deals. This creates demand for affordable, deal-ready contract generation specific to wholesale real estate transactions.

Banks allow consumers to withdraw funds from deposited checks before they clear, then hold consumers fully liable when checks prove fraudulent. This practice is particularly damaging in peer-to-peer selling contexts where fraudulent payment methods are common. The bank policy of enabling early access while shifting all fraud risk to consumers creates a predictable harm pattern.

Engineering teams shipping AI in production report a failure category where standard metrics stay green while the system loses coherence or drifts in non-reproducible ways. The root cause is structural: verification built on the same model that generates creates blind spots that existing observability tooling cannot detect.

A disabled senior homeowner reports that State Farm's estimate for water-damage repairs, after applying the deductible toward water removal, leaves a $3,000-6,000 shortfall against an independent contractor's repair estimate. This reflects a broader, structural pattern in property insurance claims where insurer damage estimates are systematically lower than real-world contractor quotes, disproportionately burdening policyholders least equipped to dispute them.

A truck renter was billed for damage after return with no walkthrough inspection performed at pickup and no documented condition report issued, leaving no baseline to dispute against. Requests for the photo or video evidence the operator claimed to hold went unanswered, and only a bare damage receipt was provided. Without a shared, timestamped condition record at handover, the renter carries the burden of disproving a claim they cannot see the evidence for.

Teams using monday.com's AI Work Platform have no way to set upfront AI credit limits per user, so a single team member who builds boards inefficiently or overuses AI fields can consume the shared credit pool for the whole workspace. Admins are left with no granular control to cap or throttle individual AI usage before costs accumulate.

Teams building internal tools with AI app builders like Lovable report escalating credit costs to fix bugs the AI itself introduces, plus a deeper architectural risk: role-based permissions enforced only in the UI rather than the database, letting users see data outside their role, such as drivers viewing other drivers' deliveries. This combination of recurring cost and fragile access control pushes some builders to seek alternatives with real backend ownership and row-level security.

Educators report that building class schedules manually is extremely time-consuming and routinely produces suboptimal results due to the combinatorial complexity of constraints. Existing tools are either too rigid or too manual for most school contexts. There is clear demand for software that can efficiently generate and adjust schedules while respecting teacher, room, and student constraints.

Open-source MCP servers commonly contain critical security flaws like unrestricted file access and insufficient SQL guards. Manual code review is infeasible at scale as the MCP ecosystem rapidly grows. Automated scanning tools are needed before these servers reach production AI agents.

A builder describes repeating a tedious cycle dozens of times a day: copying text from whatever app they're using, opening ChatGPT, pasting, writing a prompt, copying the answer, and returning, just to summarize or rewrite something. They built an overlay assistant that works directly on top of any app to eliminate that context-switching, on both mobile and desktop.

A founder paid $1,750/month to an organic marketing agency for six months before discovering the actual deliverables were a single AI-written article every few days, purchased low-quality backlinks, and roughly 15 minutes of human effort per week. This points to a broader trust and transparency gap for small businesses paying agency retainers without visibility into what work is actually being done.

A homeowner's wind-damaged garage was deemed a total loss by their insurer's adjuster, but the payout was roughly half of what local contractors quoted to rebuild it, with the insurer disputing coverage for foundation repair despite visible damage from the same incident. This illustrates a recurring gap between insurer damage assessments and real market rebuild costs, leaving policyholders to either accept shortfalls or fight a drawn-out appeals process.

Roughly 1.4 billion unbanked people, including tens of millions in Nigeria, live in areas with unreliable internet connectivity that standard online payment rails cannot serve. This creates demand for payment systems that can securely process and sync transactions during extended offline periods.