How Arena Works

Every startup advisor says the same thing: talk to your customers. But what if you don't have any yet? Arena searches five platforms for people actively complaining about the problem your startup solves, discovers competitors you've never heard of, monitors them continuously, and generates specs ready for Claude Code or Cursor.

The Arena Workflow

Four steps from zero customers to your first 10 — and a spec your coding agent can build from.

1

Describe your startup

Tell Arena what you're building and what problem you solve. One paragraph is enough. Arena uses this to search for the right people and the right competitors. You can also add URLs to your website, competitors, or market research for richer context.

2

Find your first customers

Arena's Early Adopter Finder searches five platforms in parallel for people actively discussing the exact problem your startup solves. Not people in your industry — people with your exact problem.

How the search works

  • AI generates dozens of targeted search strategies from your startup description
  • Searches X, Reddit, Hacker News, LinkedIn, and Product Hunt in parallel
  • Looks for complaints, workaround requests, “does anyone know a tool that…” posts
  • Each discovered person gets a fit score (0–100) based on problem-match
  • Deduplicates across platforms — same person found on Reddit and X shows once

Personalized outreach

  • AI generates a personalized outreach message for each lead
  • References their specific post or complaint — not a generic template
  • Written in your voice as a founder, not marketing copy
  • Platform-specific contact channels (DM, email, LinkedIn message)

Branch-off discovery

Found a perfect-fit lead? Click “find more like this” and Arena reruns the discovery using that person as a reference — finding more people with similar problems, on similar platforms, in similar communities.

Pipeline tracking

Track each lead through the funnel: Discovered → Contacted → Responded → Converted. See your progress at a glance.

3

Know your arena

You Googled your competitors. You found 3. There are 12 more you've never heard of, launching on Reddit and Hacker News right now. Arena's Competitor Radar finds them and watches everything they do.

Discovery

  • Searches X, Reddit, Hacker News, LinkedIn, and Product Hunt for companies targeting your market
  • Each competitor gets a threat score (0–100) with AI-written reasoning
  • Finds competitors you'd never discover on Google — early-stage startups, Show HN posts, Product Hunt launches
  • One-click bulk tracking from discovery results

Continuous monitoring

  • Crawls competitor websites on your schedule: real-time (hourly), daily, weekly, or monthly
  • Discovers all pages, extracts key information, compares against previous snapshot
  • AI classifies changes by category (pricing, features, funding, hiring) and severity (critical, important, minor)
  • Email notifications for changes that matter

Counter-move specs

When a competitor ships a new feature or changes their pricing, Arena generates a spec for how you could respond. The spec includes problem framing, solution approach, technical design, and acceptance criteria. Open it in Claude Code or Cursor and start building.

4

Build what matters

Your early adopters told you what hurts. Your competitors showed you what works.Arena writes a complete spec — grounded in real evidence, not guesses — ready for Claude Code or Cursor.

The 9 sections

  1. Problem — What user problem are we solving, grounded in evidence from early adopters and competitors
  2. Research Summary — Synthesized findings from all sources with cross-source pattern analysis
  3. Solution — Proposed approach grounded in evidence
  4. Technical Spec — Architecture, data model, API design, implementation approach
  5. UI/UX Spec — Interaction design, user flows, components, edge cases
  6. Impact Analysis — Expected metrics impact, effort estimation
  7. Risks — Technical risks, user adoption risks, dependencies, mitigations
  8. Alternatives — Other approaches considered and why rejected
  9. Acceptance Criteria — Testable conditions for feature completion

Agent-Ready Output

Export specs to Claude Code or Cursor. The Technical Spec and Acceptance Criteria sections are structured so coding agents can begin implementation immediately. Also exports to Linear and Jira with implementation task breakdowns.

As you grow: Signal Stream

Once your early adopters start talking, connect Slack, Linear, PostHog, Notion, and Jira. Arena auto-classifies every signal into five types: pain points, feature requests, bug reports, positive feedback, and analytics insights. Patterns surface from across all sources and feed into smarter spec generation.

Arena vs. the Traditional Approach

CapabilityTraditionalArena
Finding first customersGoogle, cold emails, Reddit lurking, hopeAI searches 5 platforms for people with your exact problem, fit-scored and ready for outreach
Knowing competitorsGoogle search, word of mouth, stumbling across themAI discovers competitors across 5 platforms with threat scoring and continuous monitoring
Tracking competitor movesManual website checking, forgetting to checkContinuous monitoring with change detection, severity classification, and email alerts
Responding to competitorsPanic, ad-hoc decisions, blank docCounter-move spec generated automatically, ready for Claude Code or Cursor
Building the right thingGut feeling, guessing, building into silenceEvidence-backed specs from real early adopter feedback + competitor intelligence
Early adopter outreachCold DMs, generic templates, spray and prayPersonalized messages referencing their specific problem, in your founder voice

Arena Terminology

Early Adopter Finder

Arena's AI-powered customer discovery feature. Searches X, Reddit, Hacker News, LinkedIn, and Product Hunt for people actively complaining about the problem your startup solves. Each lead gets a fit score (0–100) and a personalized outreach message in the founder's voice. Branch-off discovery finds more people like a given lead.

Competitor Radar

Arena's competitive intelligence feature. Discovers competitors across five platforms with AI threat scoring (0–100). Continuously monitors competitor websites for pricing changes, feature launches, and team updates. Generates counter-move specs when competitors ship something new.

Counter-Move Spec

A specification Arena generates when Competitor Radar detects a meaningful change. Includes problem framing, solution approach, technical design, and acceptance criteria. Designed for direct handoff to Claude Code or Cursor.

Signal Stream

Arena's real-time feed of customer signals aggregated from five integrations (Slack, Linear, PostHog, Notion, and Jira). Each signal is auto-classified by AI into one of five types: pain point, feature request, bug report, positive feedback, or analytics insight.

Feature Dossier

A 9-section evidence-backed specification generated by Arena from real customer signals and competitor intelligence. Structured for direct handoff to Claude Code or Cursor.

Hijack

Arena's competitor customer conversion feature. Select a competitor, and AI agents search X, Reddit, Hacker News, LinkedIn, and Product Hunt for people who use that product and express frustration. Each lead gets a switch score (0–100) based on verified usage (40%), frustration signal (25%), reachability (20%), and switch readiness (15%). Leads are enriched with contact info and receive a personalized switching outreach message. Can be automated on a schedule from every 6 hours to weekly.

Agent-Ready Output

Arena's export format that structures specs for direct consumption by coding agents. The Technical Spec and Acceptance Criteria sections are designed for implementation by Claude Code or Cursor. Can also export to Linear or Jira with implementation task breakdowns.

Frequently Asked Questions

How does Arena find people with my exact problem?+
You describe your startup and the problem you solve. Arena's AI agents generate targeted search strategies, then search X, Reddit, Hacker News, LinkedIn, and Product Hunt in parallel. It looks for people actively describing your exact problem — complaints, workaround requests, "does anyone know a tool that…" posts. Each person gets a fit score based on problem-match.
How is Arena different from manually searching Reddit or X?+
Manual searching finds what you think to search for. Arena uses AI to generate dozens of search strategies you'd never think of, runs them across five platforms in parallel, scores each result on fit, deduplicates, and generates personalized outreach. What takes hours manually takes minutes with Arena.
What is a counter-move spec?+
When Competitor Radar detects a meaningful change — a new feature, pricing update, or product pivot — Arena generates a specification for how you could respond. The spec includes problem framing, solution approach, technical design, and acceptance criteria. Open it directly in Claude Code or Cursor.
How does continuous monitoring work?+
Arena crawls competitor websites on your configured schedule (hourly, daily, weekly, or monthly). It discovers all pages, extracts key information, and compares each snapshot against the previous one. AI classifies changes by category (pricing, features, funding) and severity (critical, important, minor). Email notifications for changes that matter.
What AI models does Arena use?+
From Anthropic: Claude Opus, Sonnet, Haiku. From OpenAI: GPT-5 variants. Discovery and competitor analysis use capable models for accuracy. Signal classification uses fast models for speed. Usage is metered per-token at provider cost with zero markup.
Do I need integrations to get started?+
No. Integrations (Slack, Linear, PostHog, Notion, Jira) are optional. You can start finding early adopters and tracking competitors immediately. Integrations become valuable once feedback starts flowing from your first customers.
How does Hijack convert competitor customers?+
Pick a competitor. Arena's AI agents search five platforms for people who use that product and are frustrated. Each lead gets a switch score (0–100) combining verified usage, frustration signal, reachability, and switch readiness. Arena drafts a personalized message referencing their exact complaint and positioning your product as the solution. Automate on a schedule to catch new frustrated users as they post.
Is Arena secure?+
All data stored securely via Supabase with encryption at rest. LLM calls routed through Arena's backend to providers. OAuth tokens stored securely. Email hello@tryarena.app for security questions.
Can I use Arena's output with coding agents?+
Yes. Arena generates specs structured for direct handoff to Claude Code or Cursor. The Technical Spec and Acceptance Criteria sections are designed for AI-assisted implementation. You can also export to Linear and Jira with task breakdowns.

Find your first 10 customers.

Describe your startup. Arena finds the people who need it, the competitors you're missing, and writes the spec.

Try Arena FreeTalk to the Founder