🎮 The Next Input — Issue #087

In partnership with

⚡ The Briefing — 60 sec

• The circular money problem at the heart of AI’s biggest deals. Ummm… The Big Short pt. 2? Feels like we’re one funding round away from “AI bubble derivatives.”

• Google rolls out Gemini AI to Android Auto users. Cruising in 2026 will officially feel like the Jetsons. “Gemini, find me a coffee shop with parking and a plug.”

• Lovable’s AI coding platform nears 8M users. A year ago, nobody knew them. Now? Corporate takeover incoming. Fast times at AI High.

🛠️ The Playbook — AI Market Intelligence Radar: Tracking the “Bubble or Boom” Cycle

Mission Build an internal radar that monitors funding flows, product launches, and adoption metrics to detect whether AI trends are overheating—or genuinely scaling.
Difficulty Advanced | Build time 4–6 hours (pilot)
ROI Gives leadership a 360° financial and adoption pulse, helping predict market shifts and de-risk overexposure to hype.

0) Why This Matters

We’ve officially entered AI Gold Rush 2.0—where money flows in circles between model makers, chip vendors, and cloud providers.
This playbook helps you stay level-headed when everyone else is YOLOing into “the next big thing.” The AI Market Radar blends financial, product, and user-growth data to tell you when innovation is real and when it’s vapor.

1) Architecture

2) Workflow

1. Collect Market Data

   • Pull every new AI-related funding round, acquisition, and product milestone daily.

2. Normalize + Enrich

   • Claude 4.5 Sonnet tags by category: Infrastructure, Model, Application, or Platform.

3. Score “Bubble Risk”

   • GPT-5-mini evaluates metrics like user growth vs revenue, funding-to-revenue ratio, and model redundancy.

4. Compare Trends

   • Cross-analyze adoption velocity (e.g., Lovable’s 8M users) with funding multiples (e.g., Nvidia’s trillion-dollar flywheel).

5. Visualize + Notify

   • Looker chart displays risk tiers by sector (“AI Chips,” “Assistants,” “Code Tools”).

   • Slack alert: “🚨 Funding-to-revenue ratio > 30x in Developer Tools—possible bubble indicators.”

3) Example Prompts

Risk Analyzer (Claude 4.5 Sonnet)

SYSTEM: You are an AI market analyst.
INPUT: {company_profile, funding_amount, product_metrics, competitors}
TASK:
1. Evaluate sustainability of growth.
2. Assess duplication risk (too many players in same niche?).
3. Return JSON:
{
 "bubble_risk": "low | moderate | high",
 "rationale": "short explanation",
 "key_signals": ["metric1", "metric2"]
}

Financial Correlation Prompt (GPT-5-mini)

SYSTEM: You are a quantitative AI market researcher.
INPUT: {funding_round_data, adoption_trends}
TASK:
Compute correlation between funding size and actual usage growth.
If correlation < 0.3 → mark “overfunded trend.”
Return top 5 anomalies with reasoning.

4) Guardrails

• Data Integrity: Pull data only from verified financial and app analytics APIs.

• Transparency: Keep “Bubble Scores” and assumptions visible in your dashboard.

• Regional Weighting: Don’t overweight U.S. metrics—balance global trends (APAC, EU, MENA).

• Ethical Disclosure: Never publish speculative bubble claims without evidence.

5) Pilot Rollout — 5 Hours

1. Connect Crunchbase + Hugging Face APIs to Supabase.

2. Run 50 recent AI startup profiles through Analyzer pipeline.

3. Build dashboard: Funding → Valuation → User Growth.

4. Deploy Slack digest with top 3 high-risk signals.

5. Evaluate: Do your internal metrics match the hype cycle?

6) Metrics

• Average funding-to-revenue multiple.

• Adoption curve (DAU growth per week).

• Bubble risk distribution by category.

• Time lag between funding spikes and adoption plateaus.

🎯 The Arsenal — Tools & Prompts

Summarize this week’s top AI deals.
Include:
- Company name & funding amount
- Sector
- Bubble risk (low, medium, high)
- One-line insight on adoption or sustainability
Return Slack/Email markdown digest.

💡 Free Office Hours

Want to predict the next AI boom—or spot the bust before it hits?
Book a free 15-minute Office Hours slot—no sales pitch, just workflows solved.

→ Grab a slot: https://calendly.com/aaron-cylentis/the-next-input-office-hours

Software sprawl? That’s SaaD.

Software was supposed to make work easier. Instead, most teams are buried under it.

That’s SaaD – Software as a Disservice. Dozens of disconnected tools waste time, duplicate work, and inflate costs.

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Companies like Cursor, Clay, and Sierra have already left outdated ways of working behind – gaining clarity, speed, and control.

Don’t get SaaD. Get Rippling.

Is SaaD hurting you?

🕹️ Game Over

Launch your AI Market Radar today—by next quarter, you’ll know who’s building value and who’s inflating bubbles.
Share your win; you could headline Issue #088.

— Aaron
Automating the boring. Amplifying the brilliant.

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