Explore Problems

A Carvana customer reports recurring white-smoke issues in a recently purchased vehicle, but the company closes the repair case as soon as the car leaves the shop regardless of whether the problem is fixed, leaving the buyer to keep driving an unsafe vehicle with young children. The photo-upload tool needed to document the issue also errors out.

Buyers of temporary SMS verification numbers report being charged even when suppliers fail to deliver a working number or the code never arrives, with no transparency into which upstream carrier routes are actually reliable. This creates a market of low-trust, pay-and-hope verification services.

A user with ADHD describes trying hundreds of calendar apps and consistently reverting to a plain notes app because their brain processes information as a list rather than a grid, causing appointments to get lost. They built a tool that shows every entry in both list and calendar form simultaneously to address this neurodivergent-unfriendly design gap common across mainstream calendar apps.

A user avoided Mint, YNAB, and Monarch because all three require connecting a bank login to track net worth, and built their own tracker instead. This points to a structural trust gap for users unwilling to hand banking credentials to a third-party financial app.

Job seekers re-enter the same profile and resume details across many application forms and track roles, interviews, and follow-ups in scattered spreadsheets and inboxes. This busywork slows applications and causes missed follow-ups. It affects anyone running a high-volume job search, especially during downturns.

Large organizations using Salesforce hit governor limits and platform restrictions that constrain customization at enterprise scale. Per-seat licensing costs are high, and performance tuning is difficult. These combine to make scaling the CRM expensive and technically fragile.

Site owners adding popular block-AI-crawlers robots.txt snippets often unknowingly disable a rule they already had, due to how robots.txt directive precedence works. The mistake is invisible until crawl behavior or indexing changes are noticed.

Users of Salesforce describe the platform as clunky and disorganized, noting that its high degree of customizability comes at the cost of a clear, solid interface. This reflects a broader usability tension in general-purpose CRMs that try to serve every use case.

When an AI agent fails through no fault of the prompt, users must rerun it and spend more tokens. Usage-based billing makes users absorb the cost of model unreliability, which matters as teams adopt agents for routine work.

Car owners facing a repair bill often lack an objective way to decide whether to fix the vehicle or walk away and replace it, risking either overpaying for a doomed car or discarding a still-viable one. This decision-support gap affects anyone facing an unexpected repair estimate.

A customer kept being charged for a roadside-assistance add-on months after cancelling the underlying auto policy because the add-on runs on a separate, undisclosed billing agreement discovered only by chance on a credit card statement. Resolving it required five transfer calls and a hostile support interaction before the add-on could be cancelled.

A Carvana buyer says the vehicle condition report listed a resolved shake and adequate brake pad thickness, but an independent shop found brake pads worn to unsafe levels and lug nuts over-tightened to the point of breaking one. Carvana would only cover the resulting failure under a paid warranty deductible.

A business-services firm hires an ongoing, detailed B2B researcher because its 59 target-account lists require nuanced verification, source-reading, and rejection rules that go well beyond simple firmographic filtering, indicating a gap in existing automated list-building tools for complex criteria.

Market researchers who pay for third-party survey panel responses find a significant share of the data unusable due to fraud, bots, or low-effort answers, forcing them to discard responses after paying for them. This wastes research budget and undermines confidence in survey-based insights.

In larger organizations, multiple threads and constant instant information make Slack feel chaotic. Teams struggle to streamline it and highlight the important updates.

Freelance photographers report that client info, project scheduling, task tracking, and payment collection are scattered across separate apps, turning a 6-hour shoot into hours of extra admin trying to remember what still needs doing, prompting one builder to consolidate these into a single photography-specific workspace and seek validation on the biggest pain points.

People struggling with dating apps for fixable reasons - weak photos, generic bios, not knowing how to keep a conversation going - have no private channel for specific feedback; the common workaround of posting a profile publicly for critique exposes them to public judgment and mockery that most people won't tolerate.

People who want to use several AI models (ChatGPT, Claude, Gemini, Grok, etc.) currently have to switch between separate apps or tabs, with no easy way to have models compare answers to the same question. This context-switching friction makes it hard to evaluate or combine outputs from different LLMs in one place.

A Google Docs user complains that the service grew expensive while also turning over files to authorities without a court order. Reflects a structural tension for cloud-suite users between pricing power and data-sovereignty expectations of a dominant provider.

Traditional habit-tracking apps rely on unbroken streaks, which creates anxiety and abandonment when users inevitably miss a day. People need a way to track habit consistency that tolerates lapses without erasing all progress or motivation.