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CATO POSITIONING LAUNCH CHECKLIST

Target Launch Date: Week of March 20, 2026 Status: READY FOR KICKOFF

PHASE 1: LAUNCH (Week 1 — March 20-24)

Combo 1: Privacy Absolutist (Highest Priority)

Marketing Materials

  • Create landing page at cato-agent.com (or docs.cato-agent.com/privacy)

    • Header: "Cato: The AI agent you can audit in a coffee break"
    • Section 1: "Why Cato over OpenClaw?" (comparison table)
    • Section 2: "Hash-chained audit trails" (how it works)
    • Section 3: "Zero telemetry, zero mystery" (privacy promise)
    • CTA: "Install now: pip install cato-daemon"
    • Estimate: 4 hours

  • Create migration guide page

    • Title: "Migrating from OpenClaw? One command."
    • Step 1: cato migrate --from-openclaw
    • Step 2: cato init (setup)
    • Step 3: cato start (run)
    • Estimate: 2 hours

  • Record 2-minute demo video

    • Script: Show Cato startup → browser action → audit trail
    • Host on YouTube, embed on landing page
    • Estimate: 3 hours

Community Outreach

  • Reddit post on r/selfhosted

    • Title: "I built Cato — the auditable alternative to OpenClaw"
    • Content: Explain OpenClaw issues, how Cato fixes them
    • Estimate: 1 hour
    • Post by: Friday March 22

  • Reddit post on r/privacy

    • Title: "Cato: AI agent with zero telemetry, hash-chained audit logs"
    • Content: Privacy positioning, comparison with competitors
    • Estimate: 1 hour
    • Post by: Friday March 22

  • Reddit post on r/programming

    • Title: "Show HN-style: Cato — debuggable AI agent daemon"
    • Content: Technical deep-dive, GitHub link
    • Estimate: 1 hour
    • Post by: Saturday March 23

  • Hacker News submission

    • Title: "Show HN: Cato — The AI agent you can audit in a coffee break"
    • Content: Emphasize privacy + audit moat
    • Estimate: 30 minutes
    • Submit by: Tuesday March 25 (morning US time)

  • Product Hunt launch

    • Create product listing with demo video
    • Tagline: "Privacy-first AI agent for technical users"
    • Estimate: 2 hours
    • Launch by: Wednesday March 26

OpenClaw Defector Outreach

  • Find OpenClaw GitHub issues (search for "telemetry" + "security")

    • Estimate: 1 hour
    • Result: List of 30-50 issues

  • Draft comment template:

    "Frustrated with OpenClaw's telemetry? I built Cato — same agent model, but with zero telemetry and cryptographic audit trails. Full OpenClaw migration in one command. Worth a try? [link]"

    • Estimate: 30 minutes

  • Post on 20 relevant GitHub issues

    • Estimate: 2 hours
    • Complete by: Thursday March 24

Content

  • Blog post: "Why I built Cato"

    • Explain OpenClaw pain points
    • Show Conduit audit trail
    • Estimate: 2 hours
    • Publish on: Dev.to, Medium, Cato blog

  • Comparison table: Cato vs OpenClaw vs Claw X

    • Criteria: Privacy, audit, pricing, deployment, extensibility
    • Estimate: 1 hour
    • Host on: Landing page

Combo 8: Open-Source Skill Ecosystem

GitHub Setup

  • Create cato-skills GitHub organization

    • Estimate: 30 minutes

  • Create README for organization

    • Title: "Cato Skills Registry"
    • Content: How to contribute, skill format, examples
    • Estimate: 1 hour

  • Create CONTRIBUTING.md

    • Title: "Contributing a skill to Cato"
    • Steps: Fork, write skill, test, open PR
    • Estimate: 1 hour

  • Create skill template repository

    • Filename: cato-skill-template/
    • Content: Skeleton SKILL.md, examples
    • Estimate: 1 hour

Reference Skills (Organize Existing Code)

  • Move existing skills to separate repos:

    • cato-skill-web-search
    • cato-skill-email-sender
    • cato-skill-notion-integration
    • Estimate: 2 hours

  • Create 5 new reference skill repos:

    • cato-skill-slack-poster (new implementation)
    • cato-skill-github-issue-creator (new)
    • cato-skill-stripe-invoice-checker (new)
    • cato-skill-twitter-poster (new)
    • cato-skill-calendar-scheduler (new)
    • Estimate: 5 hours

  • Add docs to each skill repo

    • How to install, usage examples, capabilities
    • Estimate: 2 hours (total)

Registry Website

  • Create skill registry listing page
    • Host on: skills.cato-agent.com or docs.cato-agent.com/skills
    • Content: Searchable list of all skills with descriptions
    • Estimate: 3 hours

Combo 11: Agentic Framework

PyPI Package

  • Create pyproject.toml for cato-framework

    • Package: cato-framework
    • Version: 0.1.0
    • Entry point: from cato_framework import Agent, TaskContext
    • Estimate: 1 hour

  • Extract cato/orchestrator/ as standalone package

    • Dependencies: asyncio, aiohttp, tiktoken, sentence-transformers
    • Estimate: 2 hours

  • Create setup.py / build configuration

    • Estimate: 1 hour

  • Upload to PyPI (test + production)

    • Estimate: 30 minutes

Documentation

  • Create API documentation

    • Classes: Agent, TaskContext, Memory, Audit
    • Methods: run(), spawn_agent(), search_memory()
    • Estimate: 2 hours

  • Create 5 tutorials:

    • Tutorial 1: "Your first agent" (10 lines of code)
    • Tutorial 2: "Multi-agent orchestration" (spawn sub-agents)
    • Tutorial 3: "Custom tools" (implement BaseTool)
    • Tutorial 4: "Memory + semantic search"
    • Tutorial 5: "Audit trails for compliance"
    • Estimate: 5 hours

  • Create example applications

    • Support agent (multi-turn)
    • Content generator (outline → draft → review → publish)
    • Sales ops agent (lead scoring)
    • Estimate: 3 hours

Marketing

  • Create PyPI landing page

    • Description: "Python library for building multi-agent systems"
    • GitHub link, documentation link
    • Estimate: 1 hour

  • Reddit post on r/python

    • Title: "Cato Framework 0.1.0 released — Python library for multi-agent systems"
    • Content: Features, example code, GitHub link
    • Estimate: 1 hour
    • Post by: Thursday March 23

  • Dev.to post

    • Title: "Building multi-agent systems with Cato Framework"
    • Content: Tutorial, use cases, code examples
    • Estimate: 2 hours
    • Publish by: Friday March 24

PHASE 2: VALIDATION (Week 2-3 — March 27 - April 7)

Daily Tracking (Monday-Friday)

  • Count GitHub stars (all three combos combined)

    • Target: 500+ by end of week
    • Update spreadsheet daily
    • Owner: @devops

  • Count Reddit upvotes + comments

    • Target: 50+ upvotes per post
    • Track engagement quality
    • Owner: @marketing

  • Monitor Hacker News (if submitted)

    • Track upvotes, comments
    • Respond to comments
    • Owner: @marketing

  • Count PyPI weekly downloads

    • Target: 100+/week by end of week
    • Owner: @devops

  • Monitor Product Hunt comments

    • Respond to feedback
    • Estimate revenue from comments ("I'd pay for this")
    • Owner: @marketing

Weekly Metrics Review (Every Monday)

  • Compile weekly metrics report

    • GitHub stars, downloads, website traffic, engagement
    • Owner: @devops
    • Time: 1 hour

  • Analyze success signals

    • Are users switching from OpenClaw?
    • Are developers adopting framework?
    • Are skills being used?
    • Owner: @product
    • Time: 1 hour

  • Identify problems early

    • Low engagement on Reddit = need different messaging?
    • Low downloads = need better docs?
    • Owner: @product
    • Time: 1 hour

April 3 Decision Point

  • Debrief meeting (1 hour)

    • What worked? What didn't?
    • Do we continue or pivot?
    • Owner: Entire team

  • Decide: proceed to Phase 3 or pivot

    • If >300 stars + >50 downloads/week: CONTINUE
    • If <100 stars: PIVOT to Combo 4 or 12
    • Owner: @product leadership

PHASE 3: SECONDARY LAUNCHES (Week 4-6 — April 8 - May 1)

Combo 5: Agent Debugger (If validation passes)

Web UI MVP (Week 1)

  • Create log viewer interface
    • Upload Cato session JSON
    • Timeline visualization
    • Action detail pane
    • Estimate: 8 hours

Timeline UI (Week 2)

  • Implement timeline component
    • Vertical timeline of plan → execute → reflect
    • Color-coded actions (planning=blue, execution=green, reflection=yellow)
    • Estimate: 4 hours

Click-to-Inspect (Week 3-4)

  • Implement detail pane
    • Click action → show input, output, model response
    • Show tokens used, cost, latency
    • Estimate: 4 hours

Testing + Demo (Week 5-6)

  • Record demo video

    • "Here's a broken agent run. Click to see what went wrong. Now it's fixed."
    • Estimate: 2 hours

  • Post on Hacker News + Reddit

    • Title: "Show HN: Cato Studio — Debug AI agents without vendor logs"
    • Estimate: 1 hour

METRICS DASHBOARD (Track Weekly)

Combo 1: Privacy Absolutist

Metric Week 1 Week 2 Week 3 Target
GitHub stars --- --- --- 500+
PyPI downloads/week --- --- --- 1K+
Landing page visits --- --- --- 5K+
Reddit upvotes --- --- --- 50+ per post
HN upvotes --- --- --- 50+
OpenClaw mentions --- --- --- 5+

Combo 8: Open-Source Skills

Metric Week 1 Week 2 Week 3 Target
GitHub org stars --- --- --- 300+
Community PRs --- --- --- 5+
Skills in registry --- --- --- 10+
Skill downloads --- --- --- 1K+

Combo 11: Framework

Metric Week 1 Week 2 Week 3 Target
PyPI weekly downloads --- --- --- 100+
GitHub stars --- --- --- 300+
GitHub discussions --- --- --- 10+
External PRs --- --- --- 2+

RESOURCE ALLOCATION (Sprint Schedule)

Week 1 (March 20-24) — ALL HANDS

  • Engineering: Landing page, migration guide, skill repos, framework package (6 hours each = 12 FTE-days)
  • Marketing: Reddit/HN posts, outreach, demo video (4 hours each = 8 FTE-days)
  • Product: Metrics tracking, go/no-go prep (2 hours each = 4 FTE-days)

Week 2-3 (March 27 - April 7) — MEASUREMENT

  • Engineering: Fix issues from Phase 1 (4 hours/day = 8 FTE-days)
  • Marketing: Engagement, analytics, debrief prep (4 hours/day = 8 FTE-days)
  • Product: Metrics, decision framework (4 hours/day = 8 FTE-days)

Week 4+ (April 8 onwards) — DEPENDS ON VALIDATION RESULTS

  • If winning: Full team on Combos 1 + 5 (12 FTE-days/week)
  • If mixed: 1 team on winner, 1 team on pivot (6 FTE-days/week each)
  • If losing: Full team on Combo 2 or 4 pivot (12 FTE-days/week)

RISK MITIGATION

If Landing Page Gets Poor Traffic

Symptom: <1K visits in week 1 Action:

  • Improve landing page messaging
  • Test different headlines on Reddit
  • Reach out to privacy communities directly

If Community Doesn't Contribute (Combo 8)

Symptom: 0 PRs after 2 weeks Action:

  • Create contribution video tutorial
  • Offer bounties for first 5 skills
  • Directly recruit 5 "founding contributors"

If Framework Has Low Interest (Combo 11)

Symptom: <50 PyPI downloads/week Action:

  • Double down on tutorials (more examples)
  • Partner with LangChain / OpenAI for promotion
  • Create Jupyter notebook examples

If All Combos Underperform

Symptom: Combined <200 stars, <30 downloads/week Action:

  • Conduct user interviews (why no interest?)
  • Pivot to Combo 4 (industry specialist) or Combo 12 (consulting)
  • Reassess positioning (might have messaging problem, not product problem)

SUCCESS CHECKLIST (April 3 Decision)

By end of Phase 2, you should have:

  • 500+ combined GitHub stars (across all three combos)
  • 100+ PyPI weekly downloads (Combo 11 framework)
  • 50+ Hacker News upvotes (at least one submission)
  • 10+ "I'm interested" comments
  • 3+ external contributors (PRs or discussions)
  • 1K+ landing page visits
  • 5+ "I'm switching from OpenClaw" comments
  • 0 bugs blocking functionality
  • Decision made: continue or pivot?

LAUNCH DAY CHECKLIST (March 20)

08:00 — Team Standup

  • Confirm all materials ready (landing page, videos, posts)
  • Final check: no broken links, no typos
  • Test PyPI package installation locally
  • Verify GitHub org is public + discoverable
  • Time: 30 minutes

09:00 — Landing Page Live

  • Deploy cato-agent.com
  • Test all links
  • Verify SSL certificate
  • Time: 30 minutes

10:00 — GitHub Org Public

  • Make cato-skills org public
  • Star from main Cato account (bootstraps initial signal)
  • Publish first 5 skill repos
  • Time: 30 minutes

11:00 — PyPI Release

  • Publish cato-framework to PyPI
  • Verify installation works: pip install cato-framework
  • Test in Python: from cato_framework import Agent
  • Time: 30 minutes

12:00 — Social Launch

  • Post Reddit r/selfhosted
  • Post Reddit r/privacy
  • Post Reddit r/programming
  • Schedule Product Hunt launch (for next day)
  • Time: 2 hours (includes engagement)

14:00 — Marketing Day 1

  • Monitor metrics (stars, downloads, traffic)
  • Respond to Reddit comments
  • Share metrics in team Slack (morale boost)
  • Time: 4 hours (through EOD)

16:00 — Prepare HN Submission (for next day)

  • Draft HN post for Tuesday morning
  • Get feedback from team
  • Schedule for 09:00 EST Tuesday
  • Time: 1 hour

COMMUNICATION PLAN

Internal (Team)

  • Daily standup: 30 minutes (metrics + blockers)
  • Weekly debrief: Friday 4 PM (results + learnings)

External (Community)

  • Reddit: Respond to comments within 24 hours
  • GitHub discussions: Respond within 24 hours
  • Product Hunt: Answer questions daily
  • Hacker News: Engage thoughtfully (if submitted)

Press (Optional)

  • Press release: "Cato — auditable AI agent with zero telemetry"
  • Target: Tech publications, privacy blogs, dev blogs
  • Timeline: Week 2 (after initial traction)

FINAL CHECKLIST

Before launching, verify:

  • README.md updated with latest features
  • CLI help text is clear and accurate
  • Error messages are helpful (not cryptic)
  • Documentation links all work
  • Demo video is high quality
  • Landing page copy is compelling
  • No hardcoded passwords or API keys in public repos
  • License files included in all repos
  • GitHub org has clear description + link to main repo

Print this checklist. Check off items daily. Update metrics every morning.

Questions? Check POSITIONING_QUICK_REFERENCE.md

Owner: Cato Product Team Last Updated: 2026-03-06 Ready for Kickoff: YES ✅
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