The Reddit demand radar

How do I get my first paying customers and what to do after the first sales?

Many makers are celebrating first users/revenue and asking what growth, retention, and next steps they should focus on to turn it into sustainable MRR.

Practical ways to find customers, get better at sales, and reduce churn

Founders repeatedly ask for tactics to get initial leads, improve sales skills or find sales partners, make technical projects visible, sell to enterprise/banks, and stop same-day trial churn.

How to structure hiring, cofounder/advisor equity, IP and agreements to avoid being burned

Several posts describe being exploited or confused by informal agreements (NDA/LOI), last-minute advisor terms, unclear equity for CTOs/CPOs, and trouble hiring—founders want concrete contract templates, negotiation play

Help finding, hiring, and managing reliable people (and the right ops tools)

Multiple posts describe businesses broken by staffing shortages or asking where to hire good VAs and what management apps to use for small teams.

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.

Reliable ways to get and keep local customers / fill the calendar

Many posts ask for repeatable customer-acquisition tactics (postcards, Facebook/Google/marketplaces, videos, referrals, platforms) and advice on keeping a steady schedule.

Beginner-friendly, step-by-step paths to start passive income with little time or money

Many posts ask for concrete first steps and realistic plans you can do alongside a job or with no/low capital.

Honest case studies and realistic income benchmarks

Users repeatedly ask for real numbers, transparent breakdowns, and community-wide data to judge what actually works.

Validation: Which methods or platforms still work and which to avoid

People want up-to-date verdicts on specific strategies (niche sites, Etsy, AI courses, Pinterest, rental platforms) before investing time or money.

Help prioritizing and diagnosing UX problems (what to fix first, and how to find what's, e

People want practical ways to decide which UX issues to fix, track small/unfixed problems, and pinpoint where users drop off (e.g., which screen or flow is losing them).

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.

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.