Explore Problems

Customers with billing or discount issues at major carriers encounter compounding failures: AI blocks human access, agents transfer rather than resolve, and verification links arrive broken or with contradictory instructions. A single account issue consumes an entire day across seven touchpoints with no resolution. This is a structural support fragmentation problem, not an isolated service failure.

Hundreds of thousands of papers contain AI-generated fake citations, poisoning training data and undermining academic integrity across major publishers.

Trello becomes disorganized at scale and provides no native support for sprint planning, burndown charts, or engineering metrics like velocity. Engineering teams must bolt on third-party tools or migrate entirely to handle Agile workflows. This structural gap forces growing teams off Trello despite familiarity with its interface.

Platform engineers managing cloud infrastructure face painful state file locking, complex templating, and pressure to adopt Kubernetes for workloads that don't warrant it. Existing tools like Terraform solve some problems but introduce operational overhead. Praxis was built to fill this gap, confirming real demand for a simpler, opinionated alternative.

Homeowners booking services through lead-generation platforms like HomeAdvisor report contractors collecting deposits then performing no work, arriving without proper tools, and providing no itemized quotes. The platform takes no responsibility for contractor actions and leaves customers with no deposit recovery mechanism. This is a documented fraud pattern enabled by insufficient contractor vetting and no escrow or performance bond requirements.

Solo founders and early-stage builders routinely receive falsely positive feedback from friends and colleagues, causing them to spend months validating and building products nobody actually wants. Real problem signal requires scraping adversarial public feedback (Reddit, forums) with strict workaround-based filters. This validation gap is a systemic market problem costing builders significant time and capital.

Project management tool users lack any intelligence layer that observes their actual board usage patterns and surfaces actionable suggestions for improvement. Teams accumulate suboptimal workflows over time with no feedback mechanism pointing out inefficiencies or better structural approaches.

Vibe-coders using AI builders like Runable cannot achieve pixel-accurate UI output—the AI makes autonomous visual decisions that diverge from the intended design even with reference screenshots. The gap is the absence of a locked design system as the prompt context layer, leaving AI tools to invent colors, spacing, and components. Growing problem as no-code AI coding tools proliferate.

Coding agents like Claude Code and Codex have no persistent memory, forcing developers to re-explain architecture, coding style, and project conventions at the start of every session. This creates repetitive overhead that grows with project complexity. As agentic development workflows mature, the lack of session continuity is an increasingly critical bottleneck.

Developers using AI coding tools must repeatedly re-explain system architecture, patterns, and conventions each session because these tools have no persistent memory. The repetitive context-setting wastes time and limits the depth of AI assistance on complex codebases. This is a structural gap in current AI-assisted development workflows.

As Slack workspaces grow, four compounding problems emerge: notification volume becomes unmanageable, search fails to surface relevant messages, threaded conversations fragment context, and the app slows down. These are not isolated bugs but structural limitations of Slack's architecture under enterprise-scale usage. Together they drive significant frustration and fuel interest in alternatives.

Spouses obtain HELOCs on jointly-owned property by fraudulently obtaining signatures from co-owners without revealing the loan documents. The non-borrowing owner only discovers the lien years later during divorce proceedings. Lenders fail to detect or prevent forged signatures on joint property financing agreements.

Successor trustees completing all required documentation still cannot transfer accounts from deceased primary holders at major banks. Repeated calls and emails yield no resolution, leaving assets inaccessible for extended periods. This creates legal and financial hardship for estate administrators navigating bureaucratic bank processes.

Collection firms like McNeil & Meyers pursue consumers for debts they don't owe, reporting inaccurate balances to credit bureaus on accounts that may have never existed or were already resolved. Consumers must dispute through FCRA and FDCPA processes while their credit scores are actively damaged. There is no real-time mechanism to block inaccurate bureau reporting while a dispute is in flight.

A subscription vendor continued charging a debit card after customer service confirmed cancellation. The bank issued a temporary chargeback credit but reversed it after the merchant disputed. Debit card consumers have weaker chargeback protections than credit card holders, and banks default to merchant responses without independent verification.

Every AI assistant and agent tool starts each session with zero knowledge of the user's role, goals, preferences, or working style. Context built inside one platform (ChatGPT memory, Claude Projects) does not transfer to others. As AI tool adoption multiplies, the re-explanation burden compounds and context fragmentation worsens.

Ally Financial repossessed a vehicle without providing the required state-mandated notice of default and right to cure, then failed to send the legally required deficiency balance notice after the sale. Both omissions violate state UCC provisions and possibly federal regulations. Borrowers have no warning their vehicle is at risk until repossession occurs.

Remote and desk workers frequently drift from focused work into digital distractions, undermining productivity and causing stress about unfinished deep work. Traditional focus tools block sites but lack context awareness — they do not understand what the user is supposed to be doing and cannot provide intelligent nudges when drift occurs. Body doubling, validated for ADHD management, has strong broad-market applicability that remains underexploited.

Developers pipe raw HTML and unstructured scraped content directly into LLM API calls, inflating costs and degrading output quality. No standard preprocessing layer exists between web scraping and LLM ingestion in most pipelines.

Monday.com ties automation ownership to the individual account that created it, so removing a departed employee's account silently disables all their automations. Teams discover broken workflows only when critical processes fail, often without any error alert. No mechanism exists to transfer automation ownership in bulk or audit creator dependencies before offboarding.