Explore Problems

An organisation evaluated every AI feature its support platform offers and found each fell short of what the vendor documentation led them to expect. The gap is not a single broken feature but a consistent shortfall between marketed and delivered capability. Buyers absorb the evaluation cost repeatedly as vendors attach AI to incumbent suites.

A buy-now-pay-later borrower reports being overcharged on biweekly payments, contacted repeatedly despite do-not-call requests, and having their loan term extended from 6 months to 14 biweekly payments without consent. Reflects weak consent and billing controls in the fast-growing BNPL sector.

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.

A customer was told delivery to their new home was possible, planned around that promise for months, and was then told PODS could not deliver there -- forcing extra U-Haul trips and storage costs. PODS later signed an agreement to pay compensation, then unilaterally reduced the amount, revealing weak follow-through on its own service commitments.

A customer had a delivery zip code confirmed multiple times by PODS, only to be told the night before delivery that the region was unserviceable. The company's compensation offer fell far short of the mover's actual costs, illustrating a recurring gap between PODS' upfront serviceability commitments and what it delivers.

A buyer's scheduled vehicle delivery was pushed back multiple times over more than a week, while the dealer re-ran a credit check and altered payment terms from the originally signed contract. The buyer was also blocked from delivering their trade-in vehicle themselves, even though other vehicles at the same lot could get same-day delivery.

Customers who schedule at-home vehicle delivery report being reassured by customer support that their car is en route, only to be told minutes before the delivery window closes that it has been rescheduled to the next day. This last-minute reversal leaves buyers who gave up other transportation arrangements without a vehicle and without recourse.

Teams training embodied AI and robotics models typically build data processing as disconnected scripts for transcoding, timestamp-checking, and labeling. As the data corpus grows this ad hoc approach makes it hard to track what processing ran, why episodes were excluded, or whether a dataset can be reproduced, while issues like frozen cameras, timestamp drift, and duplicate recordings can silently corrupt training data.

A customer's dishwasher installation was completed incorrectly, with the water line placed in front of the electrical line instead of behind it, preventing a cabinet drawer from closing; the installers have since refused to return and correct the error. The dispute has dragged on for over a month with no resolution path offered by the retailer. This illustrates a broader gap in accountability and follow-up enforcement for home-installation services.

A commercial printer and publisher reports that Canva-generated files consistently have low-quality bitmap images, incorrect vector colors, and buggy transparency effects when prepared for commercial print output. This makes Canva unsuitable for professional print production workflows despite being usable for casual design.

New Salesforce users encounter an interface packed with closely-positioned buttons, making accidental clicks and wrong actions common during onboarding. The density is a known adoption barrier in enterprise CRM deployments. Organizations spend significant time on training and support to compensate for this friction.

Shopify merchants are charged additional fees for tax calculation and processing that competitors include as a standard feature. Small merchants on tight margins find this fee structure disproportionately burdensome for a compliance function they have no choice but to use. This single-sentence complaint lacks detail but reflects a common friction point in Shopify's pricing model for ecommerce operators.

Teams requires MFA codes sent to email addresses users no longer have access to, with no graceful recovery path. Security questions and secondary verification flows are opaque and non-intuitive. Enterprise users lose access to collaboration tools during critical work periods with no fast self-service recovery option.

Marketers scaling ad spend often rely on platform-reported clicks, leads, or inflated totals that do not tie back to verified revenue, making it hard to know which campaigns actually produce paying customers. This attribution gap between ad platforms and real revenue data leads to wasted spend.

Real estate investors commonly target tax-delinquent homeowners as motivated sellers, but delinquency status frequently does not correlate with actual willingness to sell, producing a high rate of false-positive leads. This wastes marketing spend and outreach time across the direct-mail and cold-calling lead generation workflows investors rely on.

HomeAdvisor/Angi offers no online cancellation path for consumer subscriptions, requiring multiple phone transfers with difficult-to-understand representatives — a dark pattern that prolongs billing for customers trying to leave.

Developers need better tooling for persistent AI agent memory that works for both humans and AI, bridging personal knowledge bases with agent workflows.

Power users are frustrated with cloud AI assistants that only advise rather than act. A local model with native macOS control satisfies privacy requirements and removes copy-paste friction, though RAM requirements limit addressable market.

Autonomous AI agents lose execution state when hitting API rate limits or context boundaries. Current approaches use Docker or HTTP streaming which add latency and lack determinism. A WASM-based substrate could enable snapshotting, hibernation, and P2P agent migration.