Morning Coffee: Jensen Huang just unveiled the blueprint for AI's next decade. At CES 2026, Nvidia launched the Vera Rubin platform—six new chips working in concert to deliver a 10x reduction in token costs and 5x better inference performance than Blackwell. Translation: the economics of running AI just fundamentally shifted. The companies that couldn't afford agentic AI at scale? They're about to get access. The ones already running it? Their margins just expanded dramatically.
The thesis is straightforward: AI deployment has been constrained not by model capability but by cost per inference. When it costs $0.10 to run a complex query, you're selective about automation. When it drops to $0.01, suddenly every repetitive task becomes a candidate. Nvidia is betting that this cost collapse will trigger an explosion in enterprise AI adoption—and they're positioning Vera Rubin as the infrastructure layer that makes it possible.
Huang framed this as a "platform shift" comparable to the transition from mainframes to PCs. The difference? This one's measured in trillions. Over $100 trillion of legacy computing infrastructure is now being modernised, according to Nvidia. The companies building on this new foundation—not just using it, but architecting solutions around dramatically cheaper inference—will capture disproportionate value.
The question: what becomes possible in your business when AI costs drop 10x?
GROWTH HACK
Build a Personal Health Report That Runs Itself
Here's a side project that solves a real problem: the average health-conscious person has data streaming from Apple Health, Fitbit, a blood pressure monitor, maybe a CGM—and none of it talks to each other. They feel guilty about the data they're collecting but never synthesising.
The opportunity isn't building another dashboard. It's building a weekly AI-generated health report that arrives in your inbox every Sunday morning with zero ongoing effort. Here's exactly how to build it.
The Stack (Total Cost: £0-15/month)
Component | Tool | Cost |
|---|---|---|
Data extraction | Apple Health Export + Shortcuts | Free |
Data aggregation | Google Sheets or Airtable | Free |
AI analysis | Claude API or GPT-4o-mini | ~£3/month |
Delivery | n8n (self-hosted) or Make.com | Free-£12/month |
Visual output | Napkin.ai (see Tool Tip) | Free |
Step 1: Automate the Data Pull
For Apple Health: Create an iOS Shortcut that runs weekly. Use the "Get Health Samples" action to pull: steps (daily average), resting heart rate, HRV, sleep duration, blood oxygen. Export to a Google Sheet via the "Add Row to Google Sheet" action.
For Fitbit/Garmin/Oura: Use their official APIs or Sync.Health (free tier) to push data to Google Sheets automatically.
For BP monitors and glucose: Most smart monitors (Withings, Omron, Dexcom) have IFTTT or Zapier integrations. Set a weekly trigger to append readings to your master sheet.
Step 2: Structure Your Data Sheet
Create one Google Sheet with tabs for each data source. Use a "Master" tab that pulls weekly averages using simple formulas:
=AVERAGEIFS(Steps!B:B, Steps!A:A, ">="&(TODAY()-7))
Your Master tab becomes a single-row weekly summary: avg steps, avg sleep, avg HRV, BP readings, glucose range.
Step 3: Generate the AI Report
Use n8n or Make.com to trigger weekly. The workflow:
Pull data from Google Sheets (HTTP Request node)
Send to Claude/GPT with this prompt:
You are a health analyst. Here is my weekly health data:
{{master_row_data}}
Generate a 200-word health report including:
1. One key insight (what improved or declined this week)
2. One correlation you notice (e.g., "sleep improved on days with 8k+ steps")
3. One specific recommendation for next week
4. A "Vitality Score" from 1-100 based on all metrics
Format for email. Use a friendly, encouraging tone.
Send via email (Gmail or SendGrid node)
Step 4: Make It Shareable
Once monthly, paste your AI report into Napkin.ai. It auto-generates a visual health summary—perfect for sharing on LinkedIn or with your doctor. Takes 30 seconds.
The Viral Angle
If you want to turn this into a product:
Offer a "Connect your data" flow using Sync.Health or Terra API (handles 200+ wearables)
Charge £8/month for AI-generated insights and trend analysis
The weekly report is the hook; historical trends and recommendations are the upsell
Why This Works
The wearable market is growing 25% annually. 46% of users say they'd share data with healthcare providers—but the infrastructure doesn't exist. You're not competing with Apple Health; you're competing with the spreadsheet nobody has time to build.
DAILY STAT
$500 Billion by 2035
The global wearable medical devices market is projected to reach $502.85 billion by 2035, expanding at 25.06% CAGR. For context: it was $24 billion in 2018.
The number that matters for builders: 46% of wearable users say they'd share health data with providers—yet fewer than 15% actually do. The gap between data collection and data utilisation is your entire addressable market.
What this means:
If you consult: "Wearable data integration" is an emerging pain point for healthcare organisations
If you create content: Companies riding this wave (Dexcom, Abbott, Garmin Health) have marketing budgets
If you build products: Aggregation tools, privacy-preserving analytics, and clinician-facing dashboards are underserved
TOOL TIP
Napkin.ai — Text-to-Diagram in 3 Seconds
URL: napkin.ai
What it does: Paste any text—blog post, presentation outline, meeting notes—and AI generates relevant diagrams, flowcharts, and visual frameworks. Not templates. Actual information architecture that maps to your content's structure.
Pricing:
Plan | Cost | Credits | Key Features |
|---|---|---|---|
Free | $0 | 500/week | PNG/PDF export, Napkin branding |
Plus | $9/month | 10,000/month | PPT/SVG export, branding removal, 3 custom styles |
Pro | $22/month | 30,000/month | Unlimited styles, font uploads, exclusive icons |
Enterprise | Custom | Unlimited | SSO, team workspaces, priority support |
Annual billing saves 25%
Who it's for:
Newsletter writers — Turn your article into a shareable visual in 30 seconds
Consultants — Generate deck diagrams without touching PowerPoint
Educators — Transform lesson content into student-friendly infographics
Product managers — Document features as process flows instantly
LinkedIn creators — Break up text walls with professional visuals
What makes it different:
No prompting required — Highlight text, click spark icon, choose from options
60+ language support — Generates visuals in whatever language you write
Editable exports — PPTX files remain fully editable in PowerPoint
Brand consistency — Upload your colours and fonts once, apply everywhere
5M+ users — Not a beta experiment; production-ready tool
Use cases that work well:
Process explanations → automatic flowcharts
Comparisons → Venn diagrams, side-by-side tables
Lists → visual hierarchies with icons
Step-by-step guides → numbered process diagrams
Limitations to know:
Works best with structured, English text
Free tier includes watermark
Mobile is view-only (create on desktop)
Complex data visualisation (charts with real numbers) isn't the strength
The bottom line: If you spend 30+ minutes per week creating diagrams, Napkin pays for itself in one session. The free tier is genuinely usable—500 credits covers roughly 10-15 visuals weekly.
TICKER WATCH
Expion360 (NASDAQ: XPON) — $0.90
The Off-Grid Energy Storage Micro-Cap
Metric | Value |
|---|---|
Current Price | ~$0.90 |
Market Cap | $8.5M |
52-Week Range | $0.60 – $5.50 |
Cash Position | $4.3M (as of Sept 30) |
Stockholders' Equity | $9.0M |
What they do: Design, manufacture, and sell lithium iron phosphate (LiFePO4) batteries for RVs, marine, and home energy storage. 300+ dealer/distributor network across North America.
The Numbers That Matter:
Quarter | Revenue | YoY Growth | Gross Margin |
|---|---|---|---|
Q1 2025 | $2.0M | +111% | 24% |
Q2 2025 | $3.0M | +134% | 21% |
Q3 2025 | $2.4M | +72% | 23% |
9-Month 2025 | $7.4M | +104% | — |
Q3 2025 Highlights:
Net income: $0.7M (vs. $8.8M loss prior year)
Cash burn improved 44% YoY
Regained NASDAQ compliance (Sept 17, 2025)
New CEO Joseph Hammer appointed (Oct 2025)
Price Target & Upside:
Source | Target | Upside from $0.90 |
|---|---|---|
Fintel Consensus | $4.08 | +353% |
Zacks | $4.00 | +344% |
StockScan 2026 Avg | $2.11 | +134% |
52-Week High | $5.50 | +511% |
The Thesis:
Grid instability is driving residential energy independence from prepper fantasy to practical necessity. Expion360's LiFePO4 chemistry offers 3x the charging cycles of lead-acid with better safety profiles. Their 12-year warranty signals product confidence in a market plagued by cheap alternatives.
The company just began shipping e360 Home Energy Storage Solutions (10kWh wall-mounted units)—expanding TAM beyond the recovering RV market into residential backup power.
The Catalysts:
Home energy storage rollout (UL9540 certified)
New OEM partnerships in pipeline
RV market recovery accelerating
Potential expansion into light EV batteries
The Risks (Be Clear-Eyed):
Risk | Detail |
|---|---|
Micro-cap volatility | Stock swung from $0.60 to $5.50 in 12 months |
Altman Z-Score | –8.1 (distress zone) |
Limited analyst coverage | Only 1 active analyst |
Cash runway | $4.3M cash; burn improving but not eliminated |
Execution dependency | New CEO must deliver on OEM strategy |
Technical Indicators:
RSI(14): 51.8 (neutral)
Stochastic: 12.75 (oversold)
ADX: 54.25 (strong trend)
Position Sizing: This is a speculative micro-cap. If the home energy business gains traction, multibagger potential exists. If execution falters, significant downside remains. Size accordingly—this isn't a core holding.
Not financial advice. Do your own research.
DAILY PROMPT
The "Opportunity Radar" for Career Positioning
I'm a [ROLE] with expertise in [SKILLS] currently earning [SALARY BAND].
Act as a career strategist. Analyse:
1. OPPORTUNITY SCAN
- Full-time roles at growth-stage companies matching my profile
- Fractional/part-time executive positions
- Expert networks (GLG, AlphaSights, Guidepoint) — typical project rates for my expertise
- Advisory board opportunities
- Speaking/workshop opportunities
2. SCORING MATRIX
For each opportunity type, rate 1-10:
| Type | Effort (hrs/wk) | £/hr Potential | Career Capital | Network Value |
3. POSITIONING GAPS
What credentials, content, or connections would increase my access to top-tier opportunities?
4. OUTREACH TEMPLATES
Draft positioning statements for:
- Recruiters
- Expert network screeners
- Advisory opportunity introductions
Format as actionable brief with specific next steps.
WORKFLOW
AI-Powered Opportunity Monitor
Setup time: 30 minutes | Weekly value: 4+ hours saved
Monitor job boards, expert networks, and consulting platforms. AI scores each opportunity for fit + pay, alerts you only on high-value matches, logs everything to your system of record.
n8n Workflow (Import-Ready JSON)
{
"name": "Opportunity Monitor",
"nodes": [
{
"parameters": {
"rule": {"interval": [{"field": "hours", "hoursInterval": 6}]}
},
"name": "6-Hour Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [250, 300]
},
{
"parameters": {
"values": {
"string": [
{"name": "search_terms", "value": "VP Marketing, Head of Growth, CMO, Fractional CMO"},
{"name": "min_day_rate", "value": "1500"},
{"name": "expertise", "value": "SaaS, B2B, growth marketing, AI"}
]
}
},
"name": "Set Parameters",
"type": "n8n-nodes-base.set",
"position": [450, 300]
},
{
"parameters": {
"authentication": "oAuth2",
"filters": {"q": "from:(GLG OR AlphaSights OR Guidepoint OR Toptal) newer_than:1d"}
},
"name": "Check Expert Network Emails",
"type": "n8n-nodes-base.gmail",
"position": [650, 300]
},
{
"parameters": {
"model": "gpt-4o-mini",
"messages": {
"values": [
{
"role": "system",
"content": "Score each opportunity 1-10 based on: expertise match, compensation potential, time commitment, career value. Return JSON: {opportunity, source, fit_score, est_day_rate, time_hrs, action}"
},
{
"role": "user",
"content": "Profile: {{$json.expertise}}. Min rate: £{{$json.min_day_rate}}/day. Opportunities: {{$json.emails}}"
}
]
}
},
"name": "AI Scoring",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [850, 300]
},
{
"parameters": {
"conditions": {"number": [{"value1": "={{$json.fit_score}}", "operation": "largerEqual", "value2": 7}]}
},
"name": "Score >= 7 Filter",
"type": "n8n-nodes-base.if",
"position": [1050, 300]
},
{
"parameters": {
"channel": "#opportunities",
"text": "🎯 *{{$json.opportunity}}*\nSource: {{$json.source}} | Score: {{$json.fit_score}}/10\nEst Rate: £{{$json.est_day_rate}}/day | Time: {{$json.time_hrs}}hrs\n*Action:* {{$json.action}}"
},
"name": "Slack Alert",
"type": "n8n-nodes-base.slack",
"position": [1250, 200]
},
{
"parameters": {
"operation": "append",
"databaseId": "YOUR_NOTION_DB",
"properties": {
"Opportunity": "={{$json.opportunity}}",
"Source": "={{$json.source}}",
"Score": "={{$json.fit_score}}",
"Rate": "={{$json.est_day_rate}}",
"Status": "New"
}
},
"name": "Log to Notion",
"type": "n8n-nodes-base.notion",
"position": [1250, 400]
}
],
"connections": {
"6-Hour Trigger": {"main": [[{"node": "Set Parameters"}]]},
"Set Parameters": {"main": [[{"node": "Check Expert Network Emails"}]]},
"Check Expert Network Emails": {"main": [[{"node": "AI Scoring"}]]},
"AI Scoring": {"main": [[{"node": "Score >= 7 Filter"}]]},
"Score >= 7 Filter": {"main": [[{"node": "Slack Alert"}, {"node": "Log to Notion"}], [{"node": "Log to Notion"}]]}
}
}
Setup: Import JSON → Add Gmail OAuth + OpenAI credentials → Customise search terms → Connect Slack → Create Notion database → Activate.
Expansion ideas:
Add LinkedIn Jobs API scraper
Include Toptal, Catalant, BTG monitoring
Auto-respond to high-score opportunities with templated interest email
THE VAULT
Why Your AI Automation May Be One Regulation Away From Breaking
Premium Article for paid subscribers
Your AI agent scrapes LinkedIn, personalises outreach, schedules follow-ups. Efficient. And potentially violating GDPR, the EU AI Act, and three regulations you haven't heard of yet.
The problem: 99% of enterprises are building agents—only 24% include security measures. Corporate data exposure jumped 485% in one year.
In this deep-dive:
Risk audit framework (4 questions for every agent)
Regulatory penalty matrix (EU AI Act, GDPR, NIST, China GenAI)
Data sovereignty rules by jurisdiction
7 safeguards that prove "reasonable care"
30-day governance implementation plan
The EU AI Act's high-risk provisions hit August 2026. The compliance window is closing.
THE BOTTOM LINE
Nvidia just made AI 10x cheaper to deploy. The companies that act on this—building agentic workflows that weren't economical six months ago—will compound that advantage. Meanwhile, your health data is sitting in silos waiting for someone to synthesise it. The tools exist. The automation is free. The question is whether you'll build it this weekend.
Ship daily.
HackrLife Daily is read by growth marketers at Google, Adobe, LinkedIn, and creators building the future