Application · Social Media Manager AI/Tech
QVAC · Tether · April 2026
Limassol, Cyprus

I BUILT
ON QVAC
BEFORE
APPLYING.

Thomas Blanc — 7 years in crypto, LLM builder daily. ex-Galactica Head of Ecosystem (grew 2K → 2M followers, technical audience), Co-Founder of Mithril ($400M+ volume, LLM router in production). Spent the weekend building qcode — an iPhone-controlled local coding agent on QVAC Fabric LLM. Open source, MIT, 3 days zero to working demo. This page is my pitch for the QVAC Social Media Manager AI/Tech role.

7yrs
Crypto-native
2M
Followers grown organically
$400M
Mithril volume
6+
LLMs in production
3 days
To ship qcode on QVAC
+ qcode: iPhone-controlled local coding agent on QVAC Fabric LLM + Shipped in 3 days · Qwen 2.5 Coder on Mac · PWA on iPhone · MIT + Galactica: 2K to 2M followers · 30K Discord · technical ZK audience · organic + Mithril App Builder: LLM router in production · Claude/GPT/Qwen/Gemini + I ship with Claude, GPT, Gemini, Qwen, Llama, MiniMax daily + 3+ AI agents in parallel every day with Claude Code + qcode: iPhone-controlled local coding agent on QVAC Fabric LLM + Shipped in 3 days · Qwen 2.5 Coder on Mac · PWA on iPhone · MIT + Galactica: 2K to 2M followers · 30K Discord · technical ZK audience · organic + Mithril App Builder: LLM router in production · Claude/GPT/Qwen/Gemini + I ship with Claude, GPT, Gemini, Qwen, Llama, MiniMax daily + 3+ AI agents in parallel every day with Claude Code
The weekend project · Shipped April 2026

QCODE — A MINI CLAUDE CODE,
RUNNING 100% LOCAL ON QVAC.

iPhone-controlled coding agent. Mac runs QVAC Fabric LLM (Metal-accelerated) with Qwen 2.5 Coder. I type tasks on my phone over home WiFi — Mac reads files, proposes diffs, executes bash, I approve from the iPhone. Zero bytes leave the machine. Same thesis Vitalik posted last week. Same thesis Tether has been pitching for a year. I just wanted to see how fast I could ship it.

Time to ship
3 days
Runtime
QVAC Fabric LLM
Models
Qwen 3B / 7B
License
MIT · open source
Mac side
Node daemon + Fabric LLM
Node/Express daemon wraps the agent loop. Tool calls: read_file, write_file, grep, bash, diff. Approvals enforced per-write. Fabric LLM ships prebuilt Metal binaries — zero compilation. llama-server exposes OpenAI-compatible HTTP, wrapping it was trivial.
iPhone side
14 KB vanilla JS PWA
No build step, no app install. PWA runs in the browser, talks to the Mac over home WiFi. Tap the model pill to switch 3B/7B live or download from HuggingFace. Daemon kills and reloads llama-server in ~5s.
X thread + demo video → GitHub (qcode) →
Why me · Three concrete reasons

YOU NEED AN AI BUILDER
WHO CAN MARKET TO DEVELOPERS.

The JD asks for someone with hands-on experience marketing AI products, able to translate complex concepts, comfortable with highly technical teams. Most candidates will be marketers trying to learn AI. I'm an AI builder who also knows how to grow technical communities. That's rare, and it matters for QVAC specifically.

01
I SHIP WITH LLMs — DAILY
I architected the LLM router in Mithril's App Builder (production, $400M+ volume). I ship with Claude, GPT, Gemini, Qwen, Llama, MiniMax. I run 3+ AI agents in parallel every day with Claude Code. qcode was the proof: I went from zero to working iPhone-controlled agent on QVAC Fabric LLM in 3 days. When I write about QVAC, I'm not translating from the outside.
02
I GROW TECHNICAL AUDIENCES — ORGANICALLY
At Galactica, I grew the community from 2,000 to 2 million followers and 30,000 Discord members in 18 months — for a ZK/decentralized identity blockchain, a deeply technical audience. Zero paid acquisition. Built CypherUniversity: 200 certified community KOLs with on-chain credentials, zero influencer budget. Same playbook works for QVAC's developer audience.
03
I SHIP BUILDS AS CONTENT
This is the layer most Social Media Managers cannot deliver. I can build demos on QVAC models every week: comparison benchmarks vs Ollama, use-case demos, SDK feedback from real workflows. qcode is the warm-up. The content calendar writes itself when the person posting actually ships.
What I'd ship in my first 7 days

CONCRETE. STARTING DAY ONE.

High-altitude plans are easy. Here is what I would ship in the first week, in order, to prove the rhythm I want to build.

1
Onboarding
Meet QVAC engineers + product. Audit current content, voice, tools. Map the backlog.
2
Listen
Read last 90 days of @QVAC_tether, Discord, HF blog. Interview 3 users.
3
Ship
Release qcode v0.2 with a new QVAC model, publish benchmark thread.
4
Content
Draft "Why QVAC over Ollama" technical post. Share with team for review.
5
Engineers
Identify 3-5 QVAC engineers willing to post under real names. First 1:1s.
6
Partners
Reach out to Ollama, LM Studio, MLX-community for day-0 listing deals.
7
Rhythm
Publish first "Built with QVAC" weekly showcase. Report framework live.
My 90-day plan

FROM 6K TO 25K+ FOLLOWERS.
FROM 78 TO 500+ GITHUB STARS.

Concrete targets. Concrete tactics. Derived from the Gemma playbook (see below) and adapted to QVAC's specific shape. I'm not proposing a strategy — I'm proposing execution.

Target Day 90 · Owned Media
25K+
@QVAC_tether followers (+19K)
Target Day 90 · Developers
500+
QVAC repo GitHub stars (+420)
Target Day 90 · Content
30+
Technical posts + demos shipped
01
Month 1 · Foundations
POSITIONING + BUNDLE TEMPLATE
  • Interview 10 QVAC users + 10 non-users (devs on local AI)
  • Lock the artifact bundle template (blog + HF card + Colab + demo)
  • Ship "Why QVAC over Ollama" technical page
  • Recruit 3 QVAC engineers to post under their real names
  • Pre-negotiate Ollama / LM Studio / MLX day-0 listings
02
Month 2 · First variant
SHIP A VARIANT, BEGIN THE CADENCE
  • Ship first QVAC variant with full bundle (4 artifacts)
  • Ship my own build on QVAC as first weekly showcase
  • First HackerNews + r/LocalLLaMA launch
  • Weekly Discord office hours with QVAC team
  • Creator partnerships with 3 AI dev YouTubers
03
Month 3 · Community
MILESTONE + HACKATHON
  • Second QVAC variant shipped on the 6-week cadence
  • Sponsor crypto + AI hackathon (prize: USDT, on-brand)
  • First conference talk by a QVAC engineer
  • First milestone post with countable unit
  • Handoff-ready playbook for the rest of 2026
The proven playbook · Google Gemma

GEMMA WENT FROM LAUNCH
TO 100M+ DOWNLOADS — HERE IS HOW.

I reverse-engineered Gemma's developer growth strategy. Not Llama — Gemma. Because Llama plays the "open AI movement" card and Tether doesn't need ideology. Gemma plays the utility card: ship specialized variants, bundle artifacts per launch, pre-load distribution partners. Every tactic below is copyable for QVAC — and drives my 90-day plan.

Gemma · Tactic 01
VARIANT CADENCE = CONTENT ENGINE
A focused variant every 4-8 weeks: CodeGemma, PaliGemma, ShieldGemma, DataGemma, MedGemma, Gemma 3n. Each = new paper, blog, HF card, Colab. Keeps Gemma in conversation.
For QVAC
SHIP QVAC VARIANTS EVERY 6 WEEKS
Candidates: QVAC-mobile, QVAC-crypto, QVAC-voice, QVAC-offline, QVAC-health. Each with blog + HF drop + benchmark thread. The tech is built — it needs packaged launches.
Gemma · Tactic 02
LAUNCH BUNDLE — 4 ARTIFACTS
Every launch ships with all four: arXiv paper, blog post, populated HF model card, runnable Colab. The X post is the trailer, not the movie.
For QVAC
NOTHING SHIPS WITHOUT THE BUNDLE
Template: HF blog post + model card + runnable notebook + demo video. Every QVAC release gets all four or waits. Devs follow for the artifacts.
Gemma · Tactic 03
DISTRIBUTION PARTNER PRE-LOAD
Day-0 listings on HF, Kaggle, Vertex AI, Ollama, NVIDIA NIM, MLX-community. 20+ accounts amplifying the same release in 6 hours.
For QVAC
PARTNER WITH OLLAMA + LM STUDIO + MLX
Pre-negotiate day-0 listings on Ollama, LM Studio, MLX-community, llama.cpp quants, HuggingFace Spaces. Plus @Tether_to flagship. Free reach.
Gemma · Tactic 04
NAMED ECOSYSTEM + COUNTABLE UNIT
"Gemmaverse" = 60K+ community variants. That number is repeated forever. The ecosystem name gave Google a milestone to celebrate monthly.
For QVAC
NAME THE QVAC STACK + METRIC
Pick a countable unit early: apps built on @qvac/sdk, variants on HF, devices running QVAC. Repeat every 30 days. First milestone within 90 days.
Gemma · Tactic 05
ENGINEERS POST UNDER THEIR OWN NAMES
Tris Warkentin, Oriol Vinyals, Jeff Dean — researchers post technical content under their real names. Humans carry more trust than brand accounts.
For QVAC
RECRUIT 3-5 QVAC ENGINEERS AS VOICES
Identify 3-5 Tether engineers willing to post under real names with QVAC in bio. Coach on tone, ghostwrite if needed. The strongest Gemma move.
The AI stack I ship with daily
NOT AN AI OBSERVER.
AN AI BUILDER.
I run 3+ AI agents in parallel every day with Claude Code. I architected the LLM router in Mithril's App Builder (production). I've tested, benchmarked, and shipped with every major model family. For QVAC, I'm not ramping up on AI. I'm already inside. When QVAC's team discusses LoRA fine-tuning on mobile GPUs, I understand what's hard about it — because I ship with LLMs every day.
Claude (Anthropic)
GPT (OpenAI)
Gemini (Google)
Qwen
MiniMax
Llama (open-source)
LLM Router (production)
Multi-Agent
Claude Code (daily)
QVAC Fabric LLM
What I build · Production systems

NOT SIDE PROJECTS.
LIVE INFRASTRUCTURE.

Mithril's trading platform runs on systems I architected. $400M+ volume powered. Both are live, both use LLM infrastructure in production. This is where my QVAC content will come from.

api.mithril.money
MITHRIL API
Unified trading API built from scratch. Trades across 9 exchanges with 250+ functions — spot, futures, perps, account management, orders, positions. Powers the Mithril trading platform ($400M+ volume). Real production infrastructure.
9
Exchanges
250+
Functions
$400M
Volume powered
build.mithril.money
MITHRIL APP BUILDER
AI-powered app builder that generates trading apps from natural language. Architected with an LLM router that picks the right model per task (Claude for reasoning, Qwen for code, Gemini for multimodal). Live production workload across multiple model families.
Live
In production
6+
Models routed
1
LLM router architected
github.com/thomasblc/qcode
QCODE (WEEKEND PROJECT)
iPhone-controlled local coding agent on QVAC Fabric LLM. Qwen 2.5 Coder 3B/7B on Mac, PWA on iPhone, zero cloud. Shipped in 3 days. MIT. Open source. Applied for this role after shipping it.
3 days
To ship
QVAC
Fabric LLM
MIT
Open source
Galactica Network
CYPHERUNIVERSITY
Built a KOL programme from scratch: community members learn, create content about Galactica, receive on-chain credential NFTs as proof. 200 graduated, became organic promoters across X / Discord / Telegram / YouTube. Zero influencer budget.
200
Certified KOLs
$0
Influencer budget
2M
Followers generated
I built on QVAC. I know your stack. I'm ready to go.

LET'S SHIP THE VOICE
QVAC DESERVES.

Social Media Manager AI/Tech — I want this role. Happy to walk you through qcode, the Gemma playbook, or a live demo. 15 minutes this week and we'll know if we're a fit.

Email me LinkedIn Apply officially