Explore Problems

As AI coding tools become standard in engineering workflows, traditional technical assessments (LeetCode, take-homes) fail to capture a candidate's ability to effectively steer AI agents. Live AI-assisted interviews waste senior engineer time without capturing the key signal: how the candidate directed the AI. No tooling exists to objectively measure and report AI coding session quality for hiring.

Freelancers and small businesses spend significant time sending manual follow-ups on unpaid invoices — a repetitive, emotionally draining task that delays cash flow. Existing invoicing tools make sending easy but provide weak, generic dunning sequences that fail to adapt tone or timing to individual client relationships.

HubSpot's cost increases sharply as teams grow, while core automation and reporting features remain locked behind higher-tier plans that are out of reach for many SMBs. This forces growing teams to either overpay or operate with insufficient tooling. The complexity of advanced features further limits the return on investment for teams that upgrade but struggle to adopt them.

HubSpot locks webhook access in workflows behind the Operations Hub add-on, which requires a significant contract increase that many mid-market teams cannot justify. Alongside this, limits on calculation properties and custom reports require further plan upgrades, compounding costs for teams trying to build basic automation. This creates a structural pricing barrier that forces businesses to either overpay or abandon critical workflow automation within HubSpot.

Fraudsters posing as debt collectors call consumers from spoofed local numbers demanding immediate payment under threat of fabricated lawsuits, targeting people with actual past debt to add credibility. Victims cannot distinguish real collectors from scammers when both use high-pressure tactics. The growing sophistication of collector impersonation scams exploits real debt anxiety and FDCPA ignorance.

Fraudsters posing as federal law enforcement pressure consumers into withdrawing cash and surrendering cashier checks. Banks deny fraud claims despite clear coercion, treating withdrawals as voluntary.

Homeowners facing foreclosure are routed between law firms and servicers in a deliberate procedural loop where neither party claims authority to negotiate — a pattern that violates RESPA requirements. The result is borrowers cannot access the modification or postponement rights they are legally entitled to, even while performing on repayment plans. Federal statute requires a designated negotiating agent, but servicers exploit ambiguity to stall.

GEICO's online quote tool produced a premium change estimate that differed from the actual policy price by over $300 when the customer called to finalize. When the customer disputed the discrepancy, the agent disconnected and added the vehicle without consent. Escalation to IT for reversal took over a week with no progress, and the autopay cancellation form was non-functional. These failures compound into a situation where the customer is trapped in an incorrect policy with no viable recourse.

State Farm cancelled a renter's insurance policy without any customer notification, leaving them uninsured during a flood. When the customer filed a claim, the adjuster accused them of fraud rather than investigating the insurer's own communication failure.

Lenders continue charging high APRs to active-duty service members who submit valid SCRA requests, failing to apply the legally mandated 6% interest cap or acknowledge the request within the required timeframe.

A dental/medical scam company charged an upfront fee then went out of business before providing any services, yet a debt collector pursued the customer for $2,200 in services never received. Despite five credit bureau disputes, the collection account persisted on credit reports with only a blank, unsigned contract as proof.

Consumers purchasing cars through online-only platforms like Carvana frequently receive vehicles with undisclosed mechanical problems that surface within days of delivery. The return and repair process is slow, opaque, and forces buyers into costly holding patterns without clear escalation paths. Lemon law protections exist but are complex to invoke without legal guidance.

Homeowners attempting loan recasts with servicers like NewRez encounter a cycle of contradictory instructions, unprocessed payments, and missed follow-throughs that require 5+ calls to resolve. Each agent gives different information, with no accountability or case continuity. This systemic failure creates acute financial and legal risk for borrowers.

Individuals with ADHD who cannot afford a human personal assistant have no adequate AI-powered alternative for managing organization, scheduling, and task management in the way their executive function challenges require. Existing productivity tools are designed for neurotypical workflows and do not accommodate ADHD-specific needs like context switching, time blindness, and task initiation barriers. As AI capabilities expand, this is an underserved population with clear willingness to pay for genuine functional support.

Contractors, developers, and researchers repeatedly need structured data from government permit portals that lack APIs or export features. Manual extraction is slow and error-prone. Multiple teams are independently hiring Python developers to build one-off scrapers for the same class of sites.

Slack Workflow Builder handles simple linear automations but cannot support if/then branching or multi-outcome flows. Teams that need real process automation must connect external tools like Zapier or n8n, adding cost and complexity. This is a structural ceiling that limits Slack as an automation platform.

Team knowledge shared in Slack disappears into an infinite scroll with no structured retrieval mechanism. Users spend hours hunting through chat history for decisions, context, and shared resources. The lack of knowledge indexing turns Slack into a conversation graveyard rather than a searchable knowledge base.

Knowledge workers using several AI tools in parallel — one for writing, one for coding, one for research — spend significant time manually transferring outputs between them rather than doing actual work. The coordination overhead compounds as the tool count grows, and there is no native way for tools to share context or chain tasks autonomously. Users effectively become manual orchestration layers for AI systems that cannot communicate with each other.

Dealers routinely bundle unrequested warranty and insurance add-ons into auto loans at signing, inflating loan principal by thousands of dollars without buyer awareness. Consumers discover the charges only after reviewing paperwork and face difficulty cancelling or recovering funds. This is a well-documented structural problem in auto retail financing.

Slack generates relentless notification streams that fracture focus, while threads get buried and ignored by recipients. Teams without strict usage discipline find important context lost in the noise. The platform lacks native prioritization or thread-following mechanisms strong enough to surface what matters.