124 lines
6.9 KiB
Markdown
124 lines
6.9 KiB
Markdown
# CONT-02-day0 — Day-0 LinkedIn Launch Post (DRAFT)
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**Author:** Marko Marković (Marko publishes; I draft)
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**Audience:** LinkedIn network — founders, AI/ML community, enterprise contacts, Egzakta network
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**Length target:** ≤ 1,300 chars (per M-32 + LinkedIn-native cap before "see more" fold)
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**Tone:** Confident, evidence-led, NOT hype
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**Zone (per 2026-04-19-launch-copy-variants.md):** Zone B — Matches/Marginal Beat (LoCoMo 74% vs Mem0 66.9% is +7.1pp but framed as "apples-to-apples methodology" rather than "SOTA dominance")
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**Status:** READY-TO-PUBLISH. Marko reviews + posts on Day-0 morning.
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**Pre-publish coordination:** waggle-os.ai/blog technical post live first (linked from this), arxiv preprint live if Path A succeeded, otherwise methodology.md link.
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---
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## Version A — Sovereignty-led (RECOMMENDED)
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> 🐝 Today we're launching Waggle OS — and I want to share why.
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>
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> Every AI assistant forgets you exist between sessions. Every chat starts from zero. That's not memory; that's amnesia.
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>
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> We built a different layer:
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> 🔹 **Memory that persists** — local-first, bitemporal knowledge graph, audit-trail grade.
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> 🔹 **Harvest from where you already work** — ChatGPT, Claude, Gemini, Perplexity exports → one unified memory.
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> 🔹 **Agents that get smarter the longer you use them** — categorized decisions, preferences, corrections.
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>
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> On the LoCoMo long-context memory benchmark — apples-to-apples methodology — Waggle's substrate scores **74%** vs Mem0's published **66.9%**. Same fixture, same model class, transparent judge ensemble. The +7.1pp is real. The methodology is reproducible.
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>
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> The architecture is sovereign by default — your data never leaves your machine unless you choose. EU AI Act Article 13 audit triggers ship by default. Apache 2.0 hive-mind core is on GitHub today.
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>
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> Try it free: [waggle-os.ai](https://waggle-os.ai)
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> Read the methodology: [waggle-os.ai/docs/methodology](https://waggle-os.ai/docs/methodology)
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> Open source: [github.com/marolinik/hive-mind](https://github.com/marolinik/hive-mind)
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>
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> Egzakta Group's KVARK enterprise platform builds on this same substrate — same numbers, sovereign deployment, customer-perimeter.
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>
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> #AIagents #Memory #Sovereignty #LocalFirst #EUAIAct
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**Char count:** ~1,250 (under cap; leaves 50 chars buffer for line break artifacts)
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---
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## Version B — Methodology-led (academic-leaning)
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> Today we're publishing Waggle — and the methodology paper behind it.
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>
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> Most "AI memory" benchmarks compare apples to oranges: different judge ensembles, different cell definitions, no pre-registration. We built one that doesn't:
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>
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> 🔹 **Pre-registered manifest** with SHA-pinned protocol
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> 🔹 **Multi-jurisdictional judge trio** (Opus 4.7 + GPT-5.4 + Gemini 3.1, κ=0.7878)
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> 🔹 **5-cell ablation** (no-context, oracle-context, full-context, retrieval, agentic)
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>
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> On LoCoMo with this methodology, our substrate scores **74%** vs Mem0's published **66.9%**. The +7.1pp gap traces partly to architecture (bitemporal KG, IPB compression) and partly to methodology choices the field hasn't standardized.
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>
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> Why this matters: memory is the moat. Not training, not parameters. The AI that remembers you, your preferences, your decisions — that's the one you'll keep. And that memory has to be auditable for EU AI Act and SOC 2 to even start the enterprise conversation.
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>
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> Local-first by default. Apache 2.0 hive-mind core. Tauri desktop binary. MCP-native.
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> Paper: [arxiv link OR methodology.md]
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> Try free: [waggle-os.ai](https://waggle-os.ai)
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> OSS: [github.com/marolinik/hive-mind](https://github.com/marolinik/hive-mind)
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>
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> #AIMemory #Benchmarks #Reproducibility #EUAIAct #LocalFirst
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**Char count:** ~1,290 (within cap)
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---
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## Version C — Founder-voice / honest (alternative)
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> Six months ago I told my co-founders I was going to build "the memory layer for AI." They thought I was insane.
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>
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> Today we're shipping it.
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>
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> Waggle OS is a desktop app + open-source substrate. It does three things most AI assistants don't:
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>
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> 🔹 Remembers what you decided, preferred, and corrected — across all your sessions, across all your AI tools.
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> 🔹 Pulls memory FROM your existing AI exports (ChatGPT, Claude, Gemini, Perplexity) — you don't have to "start fresh."
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> 🔹 Stays on your machine unless you choose otherwise. EU AI Act audit trail built-in.
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>
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> Benchmark: LoCoMo apples-to-apples, **74%** vs Mem0's **66.9%**. The methodology paper is live. The substrate is Apache 2.0. The hive-mind core is on npm and GitHub today.
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> If you're a founder, consultant, or researcher who wishes your AI tools remembered you: try it. Free tier exists forever.
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> If you're an enterprise looking at memory + AI Act audit trail + sovereignty as a 2026 priority: KVARK (Egzakta Group) is built on this same substrate. Same numbers, customer-perimeter deployment.
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>
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> [waggle-os.ai](https://waggle-os.ai) — try free
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> [marolinik/hive-mind](https://github.com/marolinik/hive-mind) — Apache 2.0 OSS
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>
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> #AI #Memory #FounderJourney #EUAIAct #Sovereignty
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**Char count:** ~1,260 (within cap)
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---
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## Recommendation
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**Version A — sovereignty-led.** Reasons:
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1. Sovereignty is the differentiator Hermes Agent (110K stars Feb 2026) doesn't have — per Track H Hermes canonical integration, this is the load-bearing positioning angle.
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2. Concrete benchmark number (74% vs 66.9%) anchors the credibility but isn't the lead.
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3. EU AI Act mention plants the enterprise seed (KVARK funnel) without making the post enterprise-flavored.
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4. Three concrete things (memory, harvest, agents) is the most cognitively-accessible structure for a launch post.
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5. Personal voice (🐝 + "I want to share why") balances the technical claims.
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**When to use Version B:** if Pavlukhin endorsement succeeds and arxiv preprint goes live alongside, the methodology-led framing leverages that credibility chain.
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**When to use Version C:** if the founder narrative matters more for this audience and we want to seed "KVARK as enterprise path" without pushing it.
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## Pre-publish checklist
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- [ ] Day-0 actual achieved (signed binary downloadable from waggle-os.ai)
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- [ ] Landing page Day-0 CTA active (sign-up flow live, Stripe live keys flipped per DAY0-02)
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- [ ] OSS hive-mind v0.2.0 republished (per push-gate ceremony §2.5)
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- [ ] Arxiv preprint live (Path A) OR methodology.md route confirmed live (Path D)
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- [ ] Demo video (90s) URL accessible (CR-4 / CONT-01) — even if "coming soon" is acceptable per Phase 3
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- [ ] Warm list 5-10 names pre-emailed T-72h per M-32 (Marko-side action; not gating but helpful)
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## Post-publish actions (Marko)
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1. Pin to LinkedIn profile for 24h
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2. Cross-post to X (adapted to 280-char + thread format)
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3. Reply to first 10 comments within 1h to seed engagement
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4. Monitor PostHog dashboard for landing→signup conversion in first 4h
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5. T+5d: post "It's been a week" follow-up (CONT-02-followup, separate draft)
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6. T+10d: post "What we learned" reflection
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