Explore Problems

Most people lack visibility into spending patterns without building complex spreadsheets — a gap for fast, paste-and-go expense breakdown tools.

Consumers who receive damaged, wrong, or undelivered goods from merchants find their credit card dispute claims denied by issuers like Citibank, leaving them with neither the item nor a refund. The chargeback process intended to protect consumers is being undermined by issuers who side with merchants on disputed goods claims. This failure of dispute resolution removes the consumer protection value of using credit cards.

Entrepreneurs needing custom iOS functionality face a gap between no-code platform limitations and agency pricing starting at $50,000+. Freelance quality on platforms like Upwork is inconsistent, and existing AI coding assistants lack a coherent workflow for non-developers to direct custom mobile development. The cost structure excludes solo builders and early-stage startups from custom mobile development entirely.

Used car retailers ignore early customer reports of defects long enough for problems to escalate from warranty-covered conditions to routine maintenance exclusions, then deny claims on those grounds. Buyers who attempt good-faith resolution immediately after purchase are systemically disadvantaged by this delay-and-reclassify pattern. The approach transfers repair costs to consumers for failures that originated before purchase.

Online used car platforms fail to disclose prior accident records on vehicles, delivering damaged goods to buyers who only learn about incidents later through official letters or third-party reports. The lack of mandatory pre-delivery disclosure leaves consumers holding vehicles with hidden structural damage and no legal recourse. This information asymmetry is structural to the online-only purchase model where buyers cannot inspect before committing.

Consumers purchasing used vehicles through online-only dealers discover serious defects — including water ingress and structural damage — only after taking delivery. Pre-sale inspections claimed by the dealer fail to detect or disclose these issues, and return windows are too short for latent defects to manifest. Buyers are left fighting for refunds outside policy windows for defects that predated the sale.

Used car dealers cause damage to vehicles during delivery then refuse to cover full repair costs by citing short post-delivery reporting windows, even when the incident is captured on video and acknowledged by the delivery driver. Partial coverage decisions leave consumers responsible for thousands in repairs for damage they did not cause. No neutral arbitration pathway exists for delivery-stage damage disputes.

Coaches and meeting facilitators who need to surface AI insights during a call — rather than only after it ends — have had to run two separate transcription tools simultaneously. Meeting note tools historically only process recordings post-call, creating a gap for real-time workflow integration. Fathom 3.0 has now shipped live transcription, resolving the specific gap described.

Business banking customers face multi-day delays executing wire transfers because of rigid in-person requirements and inconsistent procedures across branches. Requiring all account holders to be physically present simultaneously creates operational bottlenecks for active businesses. The process fails to accommodate modern business realities while protecting against fraud.

Users attempting to use Asana's forms and advanced automation features encounter a steep learning curve compounded by documentation that uses outdated terminology mismatched to the current product. This creates a trust gap where users cannot self-serve through help content and must abandon complex features or escalate to support. The problem affects adoption of higher-value features that drive retention.

Users find Notion difficult to use for custom workflows not mapping to official templates, pointing to a persistent UX and discoverability gap for freeform use cases.

Free self-hosted PDF editing tools have login bugs and poor usability, forcing users toward paid alternatives

Founders and small business owners know LinkedIn drives leads but lack a reliable system for content planning, posting consistency, and engaging the right audience. Manual approaches are unsustainable and generic scheduling tools do not address the strategy gap. Demand exists for a structured system combining content planning with engagement workflows.

As AI-powered search engines (ChatGPT, Perplexity, Gemini) increasingly answer queries instead of directing traffic to websites, brands lose visibility into whether and how they are referenced. There is no established tooling for monitoring brand citations across AI outputs, detecting content gaps, or influencing AI-driven recommendations.

When water damage occurs, insurers pay for interior remediation only — refusing to waterproof the foundation that caused the leak — leaving homeowners with a temporary fix and a recurring problem. The policy language creates a structural gap between what is covered and what constitutes a permanent repair. Insurers compound the harm by cancelling coverage when homeowners document the remediation work that was done.

Salesforce users consistently report feeling overwhelmed by the sheer number of functions, tabs, and options presented without clear hierarchy or guidance. The complexity gap between what most sales teams need and what the platform exposes creates adoption friction. This drives mid-market teams toward lighter CRM alternatives despite Salesforce's feature depth.

Organizations accumulate orphaned cloud resources (stopped VMs, unattached disks, old snapshots) across AWS, Azure, and GCP that continue billing silently. Multi-cloud scanning tools that run locally in CI with configurable thresholds address a growing need.

Solopreneurs and freelancers are forced to use enterprise-grade SaaS tools designed for large teams. These tools have excessive features, complexity, and pricing that do not fit the needs of individuals or very small teams, creating an underserved market segment.

AI-powered workflows break down over time as underlying models update, prompts drift from intent, or external dependencies change — but teams have no automated way to detect regression before users do. Traditional CI/CD tools are not designed for the non-deterministic outputs of LLM workflows. This leaves AI system reliability dependent on manual spot-checking rather than systematic verification.

Sales and marketing teams rely on manual processes to research companies, enrich contact data, and score leads, creating a bottleneck that limits outreach velocity. Active hiring for lead research automation on Upwork at $20-200/hour rates validates genuine willingness to pay for a solution. The process involves company website analysis, data enrichment, and contact scoring — all highly automatable but currently requiring human research time.