Kapnet Erudition Campaigns — Three Hashtag Strategies

**Goal:** Break down Kapnet protocol concepts into digestible public notes. **Audience:** Crypto-native developers, Bitcoin curious, protocol researchers. **Format:** Thread-style notes kind-1, each e

Kapnet Erudition Campaigns — Three Hashtag Strategies

Campaign 1: #KapnetExplainers

Goal: Break down Kapnet protocol concepts into digestible public notes. Audience: Crypto-native developers, Bitcoin curious, protocol researchers. Format: Thread-style notes (kind-1), each explaining one concept. Tone: Technical but accessible. Assume Bitcoin literacy, teach Kapnet specifics.

Content Calendar (First 2 Weeks)

Day Topic Hook
1 What is Kapnet? “Bitcoin has a coordination problem. Kapnet is the solution.”
2 Submissions: atomic civil acts “Every post, vote, and contract is a submission. Not a message—a civil act.”
3 TXXM Envelopes “Think of TXXM as HTTP for coordination. But deterministic, replayable, and Bitcoin-anchored.”
4 Weakwork vs Proof-of-Work “Not all work is equal. Weakwork prices coordination before settlement.”
5 Braids: concurrent history “Git branches meet Bitcoin finality. Braids capture all valid orderings.”
6 Knots: checkpoints “A knot is a braid frozen in time. A commitment to what happened.”
7 Week 1 recap Top 3 most-engaged explainers, preview week 2
8 KOR Namespaces “KOR = tenant-isolated coordination rooms. Like Docker containers for protocols.”
9 Hedlbit accounting “Coordination has costs. Hedlbits price relay, storage, and execution.”
10 Deterministic slot lottery “How Kapnet selects winners without coinbase commitments.”
11 Endo/Exo Nexus “Every Kapnet interaction is simultaneously coordination AND communication.”
12 Merge-mining “Kapnet rides Bitcoin’s security. Merge-mining explained.”
13 Public vs private relays “Public relays accept standard kinds. Kapnet wraps TXXM in kind-30078.”
14 Week 2 recap + Q&A Answer top questions from replies

Engagement Tactics

  • End each note with a question to invite replies
  • Reply to every response within 1 hour
  • Cross-reference earlier explainers
  • Pin the series as a profile highlight

KPIs

  • Notes published: 14
  • Target reply rate: >30%
  • Target follower growth: >50 new followers
  • Hashtag impressions: >1000

Campaign 2: #KapnetBuilds

Goal: Show Kapnet being built in public. Live development updates. Audience: Builders, open-source contributors, potential collaborators. Format: Short progress notes (kind-1) + milestone threads (kind-30078). Tone: Raw, unpolished, honest. Here’s what we built today. Here’s what broke.

Content Calendar (First 2 Weeks)

Day Topic Content
1 Project intro “Building Kapnet in public. Here’s the stack.”
2 Stack deep-dive “Rust daemon, Node.js bridges, Qubes security, Nostr transport.”
3 What shipped “TUI with F8 overlays. Courier Bridge v2. Listener on 2 relays.”
4 What broke “Custom Nostr kinds rejected on public relays. Built a bimap.”
5 Code snippet One interesting function with explanation
6 Architecture decision “Why we chose file-based signal bus over direct IPC.”
7 Week 1 demo Screen recording of TUI + listener + bridge
8 Scaling challenges “Qubes has no C compiler. Cross-compiling for Mac Mini.”
9 Protocol gap “Codebase expects Kapnet-aware relays. Reality: public Nostr.”
10 The solution “kapnet-nostr-bridge.mjs: TXXM kind 30001 → kind 30078 + k=30001”
11 Testing “How we verify: publish, receive, unwrap, validate.”
12 Open problems “Block parser needs node data. Treasury needs Mac Mini.”
13 Community ask “What should we build next? Tell us.”
14 Week 2 roadmap “Next: Mac Mini arrives, self-hosted relay, kor.git GitHub org.”

Engagement Tactics

  • Ask for input on every “what should we build” note
  • Share actual code snippets (not descriptions)
  • Show failures, not just wins
  • Tag other builders/projects when relevant
  • Invite contributions via GitHub (when kor.git is ready)

KPIs

  • Notes published: 14
  • Target replies with technical feedback: >20%
  • GitHub stars (when repo is public): target 50
  • Collaborator applications: >5

Campaign 3: #KapnetStudy

Goal: Deep protocol study group. Collaborative learning, not broadcasting. Audience: Protocol researchers, Bitcoin academics, formal verification people. Format: Long-form study notes (kind-30078), weekly reading threads, open problems. Tone: Academic, rigorous, collaborative. We don’t have all the answers.

Content Calendar (First 4 Weeks)

Week 1: Foundations

Day Topic Reading
1 “Bitcoin as a State Machine” Cite the Creds paper, summarize key insight
2 “TheBase Chronology Axiom” Bitcoin’s deepest service is temporal ordering
3 “Trust surfaces in distributed systems” What each client type trusts
4 Open problem #1 “Can we formally verify braid convergence?”
5 Community response Highlight the best reply from the week

Week 2: Coordination Layer

Day Topic Reading
1 “Submissions as atomic civil acts” Definition 10.1, why it matters
2 “TXXM envelope structure” Full envelope walkthrough with examples
3 “Knot selection politics” Checkpoint politics, who decides
4 Open problem #2 “Deterministic replay across heterogeneous executors?”
5 Community response Synthesize the best replies

Week 3: Economics of Coordination

Day Topic Reading
1 “Weakwork pricing theory” Why coordination must be scarce
2 “Relay markets” Who pays for relay infrastructure?
3 “Template builder markets” Auction theory for block template construction
4 Open problem #3 “Mechanism design for checkpoint auction fairness?”
5 Community response Highlight best contributions

Week 4: Governance and Evolution

Day Topic Reading
1 “Governance as constitutional process” Kapnet’s governance framework
2 “Forkability and divergence” Why forks should be visible, not hidden
3 “Meta-protocol evolution” How Kapnet upgrades itself
4 Open problem #4 “Formal specification of the full Kapnet state machine?”
5 Month retrospective Best questions, open threads, next month preview

Engagement Tactics

  • Every open problem note has a CTA: “Reply with your analysis”
  • Best community contributions get their own spotlight note
  • Weekly synthesis: summarize the best replies
  • Invite academic collaboration: “We need formal verification help”
  • Cross-reference related work: Creds papers, Bitcoin research, distributed systems theory

KPIs

  • Study notes published: 20
  • Open problems posed: 4
  • Quality replies per problem: >3
  • Academic/researcher followers: >10
  • Paper citations (long-term): reference our open problems

Cross-Campaign Strategy

Hashtag Hierarchy

#kapnet                 → umbrella (all campaigns)
#kapnet-explainers      → campaign 1 (education)
#kapnet-builds          → campaign 2 (development)
#kapnet-study           → campaign 3 (research)
#kapnet-open-problems   → cross-campaign (all open problems)
#kapnet-churn          → live coordination
#kapnet-kor            → namespace announcements

Voice Guidelines

  • No hype, no moon talk, no price mentions
  • Technical precision over marketing speak
  • Cite sources, link to codebase, show your work
  • Admit what you don’t know
  • Invite correction and collaboration

Automation via Publicity Loop

The publicity-loop.cjs manages all three campaigns:

Content queue structure:

{
  "queue": [
    {
      "id": "exp-001",
      "campaign": "explainers",
      "status": "pending",
      "priority": "high",
      "content": "...",
      "tags": ["kapnet", "kapnet-explainers", "txxm"]
    },
    {
      "id": "bld-001",
      "campaign": "builds",
      "status": "pending",
      "content": "...",
      "tags": ["kapnet", "kapnet-builds", "progress"]
    },
    {
      "id": "std-001",
      "campaign": "study",
      "status": "pending",
      "content": "...",
      "tags": ["kapnet", "kapnet-study", "foundations"]
    }
  ]
}

Campaign Rotation

  • Explainers: daily (high frequency, low effort)
  • Builds: 3x/week (medium frequency, medium effort)
  • Study: 2x/week (low frequency, high effort, high value)

Reply Handling Priority

  1. Open problem replies (study) — highest priority, need thoughtful response
  2. Technical feedback (builds) — high priority, acknowledge and act
  3. Questions (explainers) — medium priority, answer within 24h
  4. General engagement — standard priority, acknowledge within 48h

Success Metrics (30-day)

Metric Explainers Builds Study Total
Notes published 14 10 8 32
Followers gained 50 30 20 100
Reply rate 30% 25% 40% 32%
Quality collaborators 2 5 3 10
Hashtag impressions 5000 3000 2000 10000

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