Explore Problems

A Comcast customer experienced a two-month total service outage with repeated false appointment commitments from customer service that were never fulfilled. The inability to escalate a prolonged outage to resolution reflects the structural service accountability gap that exists for ISPs with regional monopolies or near-monopolies. Customers have no effective leverage short of regulatory complaints.

Signing up for AT&T business service required over four hours and multiple manager escalations, and still resulted in the wrong phone being shipped. Core features including voicemail, calls, and Bluetooth remained broken for months with no resolution offered. Customer service representatives in offshore support centers routinely disconnect calls rather than resolve issues.

Allstate imposes unexpected fees on customers who proactively cancel policies to switch carriers. Refusing to waive a $25 fee permanently loses a customer, yet the company prioritizes short-term revenue over retention. This inflexibility reflects a broader pattern of prioritizing extraction over customer relationships.

Slack text formatting is unintuitive and pressing Enter to send causes accidental message sends during important communications.

After an account compromise, Microsoft account linking policies prevent creating a fresh Teams account. High-intensity lockout affecting a narrow segment with no self-service path.

Banks charge maintenance fees for falling below minimum balance requirements and refuse to waive them even on first occurrence, despite the fee being a policy that banks routinely waive for long-standing customers at branch discretion. Business account customers face the same issue without the relationship-based waiver options available to retail customers.

Telecom providers make it deliberately difficult to cancel services, with support agents hanging up and refusing to process cancellation requests. Customers are left with no recourse other than disputing charges through their bank, damaging their own payment history.

Consumers applying for loans on third-party aggregator sites have their personal information silently passed to fintech lenders who enroll them in products without explicit consent. The multi-party data flow makes it impossible for consumers to know which companies received their information. Regulatory gap between lead gen and lender accountability.

Real estate investors building or using AI deal analyzers find that after-repair value estimation is consistently inaccurate due to local market data gaps and property condition variability. Existing comps-based tools produce unreliable ARVs that lead to poor investment decisions. A hyper-local ARV estimation engine trained on granular market signals and condition-adjusted comps would improve deal analysis accuracy.

Many technical founders jump to development without clarity on the specific user type, the problem being solved, or the single core workflow the product must nail. This leads to over-built MVPs that miss the actual pain point. The cost is wasted engineering time and a delayed feedback loop with real users.

SaaS and app subscription cancellation options are intentionally buried in navigation and omitted from help documentation, creating friction that borders on deceptive design. Regulators in the EU and US are increasingly targeting these dark patterns.

New users of project management platforms find automation configuration complex and overly prescriptive, creating a significant barrier to adoption. The specificity required to set up even simple automations discourages teams from building workflows that would materially improve efficiency. This leaves a large portion of the platform's value untapped, particularly among non-technical team members.

Engineering teams migrating from self-managed Kubernetes to EKS encounter unexpected costs in egress, add-on licensing, and management overhead not visible during evaluation. There are no good tools to model true total cost of ownership before committing to a managed platform switch. Teams end up trading one set of headaches for another.

Autonomous coding agents and vibe-coding workflows produce rapid codebase changes that outpace a human reviewer's ability to track architectural decisions, creeping complexity, and unintended coupling. Traditional code review tools were built for human-paced incremental changes and lack the analytical layer needed to surface macro-level risks in AI-generated code. As agentic development accelerates, the absence of codebase-level monitoring creates compounding technical debt.

Business customers lose internet service during outages with no mechanism for automatic SLA credits. Reaching a representative requires navigating automated gatekeeping, and no credit is issued despite quantifiable business downtime. SMBs have no tooling to track outage duration and claim owed service credits.

Small business owners using AI image generation tools in platforms like Canva find that models repeatedly ignore constraints and add unwanted elements — limbs, incorrect colors, background objects — even when prompts are explicit. This control problem is especially acute for product photography where accuracy matters commercially. Non-technical users lack the prompt engineering skills to work around it.

QuickBooks payroll processing handles federal taxes adequately but falls short on state and local tax jurisdictions with layered or unusual rules, leaving businesses exposed to compliance failures. States like Ohio with complex locality tax structures are particularly underserved, requiring businesses to manually verify or supplement payroll calculations. Customer support for payroll tax disputes is rated as ineffective, with no escalation path for jurisdiction-specific issues.

Developers and power users hitting cloud AI agent credit limits need self-hosted multi-agent stacks capable of web browsing, file management, and parallel task execution. Existing options like n8n and Open Interpreter require significant technical setup and have meaningful capability gaps. Growing cloud cost fatigue is creating demand for an accessible local alternative.

Tools like Trivy and Grype surface thousands of CVEs per container without indicating which are actually exploitable in the target environment. Self-hosters and small teams need actionable alerts scoped to their specific services rather than raw CVE lists. The gap between raw scanner output and actionable security intelligence is a persistent pain.

A Wells Fargo customer woke up to find $2,100 deducted overnight by an unknown company with no prior authorization. The unauthorized access to a bank account by an unrecognized third party represents a critical account security and fraud prevention gap.