The Reddit demand radar

How do I get users, make people care, and convert them to paying customers?

Multiple founders built working products but struggle to find/activate users, turn usage into trials/paying customers, or get traction despite launching and early adoption.

How should I handle equity, vesting, and compensation when joining or leaving an early‑day

Users are confused about equity mechanics (exercise windows, options vs shares), how much equity is fair for early hires/CTOs, and the tradeoffs versus stable pay.

Ways to validate demand for a new market or business idea

People repeatedly ask how to tell if a market is real vs. online noise and whether specific local service ideas (hydroseeding, poop-scooping, senior companionship) or agency/SaaS models are viable before they invest time

Hiring, firing, and compensation guidance

Several posts seek help with people problems — who to hire first for a growing CPG/operations business, whether you can or should fire a top-performing but toxic salesperson, and what fair commission splits look like

Practical tooling, workflows, and policies for using AI in software development

Many posts ask for ways to integrate LLMs/AI safely and productively — e.g., making AI part of day-to-day coding without breaking quality, reproducibility, or jobs.

Keeping large frontends consistent, maintainable, and testable (especially with generated/

People are worried that AI-generated components make it easy to ship UIs but hard to keep apps consistent, accessible, and covered by tests; they want patterns and tools that save work later.

Clear norms for using AI during hiring and interviews

Several posts ask what’s acceptable when candidates use AI in live coding or take-home tasks and how recruiters should evaluate AI-assisted work.

A way to detect, reproduce and diagnose performance regressions (including JIT/compiler /微

Multiple posts describe mysterious slowdowns and bad codegen (Assembly Hall of Shame, a LuaJIT NYI causing 20× slowdowns, floating/int division changes and heuristics work) — people want reliable tools and workflows to (

Clear guidance for marketing career paths, pivots, and coping with layoffs

Many people are unsure whether to stay in marketing, how to pivot roles (creative/analytics/agency/solo), or how to progress after layoffs and burnout and are asking for concrete next steps and role transition advice.

Practical ways to use AI and measure/report its business impact

Marketers want concrete examples, workflows, and metrics for using tools like Claude/ChatGPT and for proving "AI visibility" or ROI to clients and stakeholders.

Implementing and interpreting analytics, attribution, and dashboards

There’s demand for help on server-side tracking, connecting CRMs/ERPs, building client-facing BI dashboards, and understanding where tracked conversions actually show up.

A simpler way to manage ad billing, payments and account plumbing

Threads show people scrambling after platform billing changes and odd ad-delivery/diagnostic issues — they want an easier, reliable way to route, split, and reconcile ad spend across cards/accounts and debug delivery.

Practical, hands-on ways for PMs to learn and apply AI

People want concrete learning paths, projects, and simple evaluation methods for AI-powered products (including how to run lightweight AI evals for an MVP and how to incorporate AI assistants into PM workflows).

How to get things shipped and retain PM influence when teams are checked out or engineers/

Requests for strategies to protect the PM role and drive delivery — e.g., dealing with engineers/FDEs who bypass PMs, motivating disengaged teams, and leading execution without formal authority.

Practical steps, templates, and escalation paths for clients who approve work then ghost (

People report clients approving work and then disappearing without payment and are asking what formal notices, invoices, collections, or legal options actually work in practice.

Practical AI tools and workflows for slide creation (including ThinkCell) and for using AI

Users ask which AI tools actually produce management‑consulting style slides, how to integrate AI with PowerPoint/ThinkCell, and how to use AI effectively in day‑to‑day slide work.

Help finding reliable suppliers, comparisons and backups

People want actionable recommendations and contingency plans for suppliers — which platforms to use, who to avoid, and what to do when a factory or dropshipper fails.

Getting traffic to convert (ads, funnel and first sales)

Sellers are struggling to turn visits into add-to-carts and purchases and are asking for diagnostics and tactics to get initial sales/conversions.

Guidance on regulatory compliance for regulated products (e.g., toys)

Sellers want clarity on certificates, testing and compliance steps needed to dropship regulated items across major markets.

A reliable way to list and sync inventory across multiple marketplaces and my own store

Sellers are overwhelmed manually creating listings, updating stock, and tracking prices across sites like TikTok Shop, eBay, Vestiaire, Shopee and their own site — they want a single system to manage it all.

How do I get paid more / advance compensation quickly?

Many posts seek concrete ways to materially increase pay—whether by switching companies, understanding realistic earnings in sales, or how total comp at senior roles actually works.

Practical help with hiring, interviewing, and resumes (including AI concerns)

People ask for hiring-side perspective, interview tips, how to explain resume gaps, and worry about AI-generated resumes being watermarked—want actionable guidance to actually get hired.

How to survive and hit quota / recover from PIP and firing

Multiple posts are about struggling with monthly quotas, getting put on or avoiding PIPs, being fired, and looking for tactics to stabilize performance and pipeline.

Tactics and scripts to book demos and cold conversations (what to say/ask, curiosity vs.痛,

People repeatedly ask for concrete cold-outreach playbooks—whether to lead with curiosity or pain, what questions to ask in different niches, and how to get more people to answer the phone or engage in a small market.