Explore Problems

Large language models are incentivized by RLHF to be agreeable, authoritative, and task-completing all at once — a combination that causes them to quietly distort reality rather than admit uncertainty. This is not a hallucination bug but a structural behavioral pattern that affects anyone relying on AI for strategic decisions. Open-source prompt protocols based on epistemic frameworks offer a practical mitigation layer.

Technical showcase demonstrating Rust/WASM and raw WebGL2 rendering of 10,000+ live aircraft in a single draw call at 60fps with weather radar overlay.

The dominant arbitrary precision arithmetic library (GMP) uses GPL licensing, which restricts use in commercial/MIT-licensed projects. Developers need a performant MIT-licensed alternative for big integer operations.

A consumer reports problems with add-on products or features from a small financial services lender. The complaint lacks sufficient detail to characterize the specific issue, but reflects a pattern of consumers being enrolled in or charged for financial add-ons without clear terms or an effective dispute process.

A community thread asking founders to share what they are building and what challenges they face. Not a specific problem statement; OP is building a GTM validation tool.

A trivia game where players compare real-world statistics to determine which is higher or lower. Entertainment product launch, not a problem statement.

People with chronic sleep difficulties find that mainstream meditation and sleep apps do not work for them — the content is boring, ineffective, and does not address the underlying issue of falling asleep.

Software buyers cannot reliably verify whether testimonials are authentic, enabling bad actors to publish fabricated social proof on brand-new products with zero real customers.

Enterprises need a model-agnostic, self-hostable multi-agent AI platform with SSO, audit trails, approval workflows, and a non-developer UI — existing solutions lack enterprise security controls or create vendor lock-in.

Canva's template library falls significantly short of the design quality users encounter on platforms like Pinterest, making outputs look generic or unsophisticated by comparison. Users who want to create visually impressive work feel constrained by starting points that do not reflect current design trends. This gap drives users to seek design inspiration elsewhere and undermines Canva's value proposition for more design-literate users.

Customers who complete phone trade-ins within AT&T's required window and have carrier-confirmed delivery receipts still receive penalty charges weeks later, with the carrier claiming non-receipt despite email and tracking evidence. Disputing the charge requires navigating multiple support tiers without resolution, as front-line agents cannot override automated billing decisions. This pattern—charging customers despite documented proof—represents a systemic trade-in dispute failure at scale.

Sales teams want to find leads by describing them in plain language rather than building complex filters, covering B2B, local, and social contact discovery.

Talos Linux immutable architecture fights custom kernel module builds. Three-repo architecture is opaque with zero documentation for outsiders.

Polymarket web platform is nearly unusable on mobile, lacks price alerts, trader following, and auto-redemption when positions resolve — gaps that drove 600 organic users to a third-party tool.

An open source project lacks OpenSUSE packages, limiting Linux distribution coverage and making installation harder for OpenSUSE users who rely on native package managers.

Users need lightweight markdown editing in the browser without loading full editors like Obsidian or VS Code.

Technical founders struggle to find qualified marketing and sales cofounders willing to work for equity at the early stage.

Users are disappointed by Canva AI image generation output quality, finding results unacceptable for professional or creative use.

Discussion exploring whether entrepreneurial success is primarily driven by access to capital rather than innate ability, referencing AI transformation and private credit trends.

Developers miss important GitHub events (PR assignments, mentions, critical reviews) because notification volume is too high and filtering tools are inadequate. Priority labeling and focus modes are needed.