Explore Problems

A customer was promised free installation by a door-to-door AT&T salesman, but was later charged $100 and told only that salesman could authorize a waiver, with no way to contact them. Escalation through official channels failed to produce a refund or resolution.

A small studio reports that ClickUp becomes laggy with larger files or complex workspaces, with Whiteboards especially slow to load, while the sheer number of features (including AI additions) makes routine work feel more complicated than necessary. Combined with pricing that scales up quickly per user and per feature, these factors make ClickUp feel poorly suited to smaller teams despite its flexibility.

In large ClickUp workspaces with many teams, flexible setup leads to overcomplicated structures and workflow changes that unintentionally affect other teams. Standardizing where tasks live requires governance the tool does not provide.

A founder spent two years manually conducting audience research before attempting to productize the process into a business, implying that no adequate self-serve tool existed to automate the discovery of audience insights at that depth.

A builder describes an AI agent that could detect a relevant fact during its run but never wrote it down, so the knowledge was lost once the session ended. This points to a gap between what an agent perceives and what it durably records for future use.

Google Play's closed testing requirement forces solo and indie app developers to recruit at least a dozen real testers to use their app for two weeks before public release. Developers describe this as unexpectedly difficult since they lack an existing user base or community to draw testers from.

Patreon is discontinuing per-creation billing, which creators who relied on it experience not as a simple migration but as a disruption to their core business model, pushing them to reconsider how they monetize content altogether.

A buyer posted a $3,340 freelance job to have people manually transcribe handwritten notes and scans into clean, organized digital documents, indicating that available handwriting-recognition tools aren't trusted or capable enough to skip hiring manual labor for this at meaningful budgets.

Builders of real-time global chat products face a classic cold-start challenge: new users who join a room find it empty, which kills engagement and retention before a critical mass of participants is reached. This is a structural problem for any community or chat product before it reaches scale.

Most AI tools in video calls act only as silent notetakers, while users want an assistant that actively looks things up during the call, helps build documents in real time, and catches action items others missed. This reflects a structural gap between passive transcription tools and active in-meeting assistance.

A developer is frustrated that moving something as small as a marketing banner requires redeploying the entire Next.js app, since there's no lightweight way for non-developers to edit page content without touching code. Replies show others have already built ad hoc fixes - a JSON-config admin panel, and a named open-source CMS-lite project - confirming the pain is shared and partially solved.

Intercom's AI agent mixes multiple knowledge resources on unfamiliar topics and answers anyway, even when instructions say to escalate immediately. Support teams risk wrong answers to customers.

A web analytics product addresses two gaps in existing tools: needing a cookie consent banner for compliance, and having no structured way for AI agents (Claude, ChatGPT, Cursor, Codex) to read reports or configure tracking directly, positioning cookie-free, EU-hosted, MCP-accessible analytics as the alternative.

A customer requested same-day cancellation of a home insurance policy and was told by an Allstate chat representative it was confirmed, only to be told days later by phone that the requested effective date was not actually possible. This points to a gap between what Allstate's chat support commits to and what its policy systems can actually execute.

AI agent harnesses are typically designed to complete a task while minimizing user intervention, which works against learning, where the goal is for the person to build their own capability. Current AI tutoring tools are largely prompt-based LLMs without a harness that tracks learner understanding over time, offers hints, or evaluates mastery.

As autonomous AI agents increasingly need to buy and sell specialized capabilities from one another, no clean infrastructure exists for listing, discovering, and transacting these agent-to-agent services under ordinary legal and payment controls. The builder found available options were either crypto-based or lacked basic transaction controls, blocking a simple pattern such as a seller agent listing a service and a buyer agent purchasing it or requesting a quote. This is an early, unresolved gap in the emerging machine-to-machine services economy.

Teams building voice AI agents rely on repeatedly calling and manually re-testing the same scripts to validate behavior, and existing simulation-testing platforms that could automate this charge a significant premium on top of underlying inference costs. This makes scaling automated testing of voice agents expensive and manually burdensome.

In a thread venting about overpriced, bloated work software, a top reply singles out Adobe Acrobat: people just want basic PDF editing that opens in-browser and integrates with Google Drive, rather than Acrobat's full feature set and cost.

A customer whose appliance broke down under an Allstate protection plan was told replacement was warranted, then offered reimbursement below the current replacement price after costs rose, with escalation to a supervisor going nowhere. This points to a gap between protection-plan promises and actual claim payouts.

A builder of a website audit tool observed that surfacing more findings doesn't lead to more fixes; users get overwhelmed by long issue lists and fail to act, pointing to a prioritization/actionability gap in audit-style tooling.