StickerBox is a great example of how clever, lightweight devices are emerging while the world waits for Altman and Ive’s mythical “super-device.”

This is a fun, hands-on way for developers to explore agent programming while counting down to Christmas.

In robotics, the gap is no longer about whether a machine can run it’s about who can turn agility into real-world, commercial work.

The incident underscores a growing reality: autonomous vehicles navigate traffic well, but unexpected human emergencies remain their biggest blind spot.

Hugging Face is turning its model-review muscle into an open standard raising the floor for how the entire community tests and measures AI systems.

Confessions marks a shift toward transparent AI making failures visible so future models can be trained to avoid them entirely.

With multi-stream thinking entering mainstream products, the next wave of frontier models may not just answer questions they may start reasoning more like a team of specialists working in parallel.

As of now, there’s no formal confirmation from OpenAI so treat December 9 as a strong possibility, not a certainty.

☐ One-sentence denoscription: what the product is, clearly and simply.
☐ Problem & value: the customer pain and how your solution fixes it.
☐ Market sizing (TAM/SAM/SOM): verified numbers with transparent methodology.
☐ Audience definition: concrete segments with behaviors and needs.
☐ Unit economics: CAC, LTV, margins, and top operational metrics.
☐ Competitive map: 5–7 real alternatives and your position among them.
☐ Go-to-market: acquisition channels, costs, and scalability assumptions.
☐ Legal setup & IP: ownership, structure, and control of tech/data.

☐ Problem: why this matters now.
☐ Solution: product overview and edge.
☐ Market: size, momentum, catalysts.
☐ Traction: concrete data points and signals of demand.
☐ Business model: how money is made.
☐ Growth plan: 12–24-month roadmap and milestones.
☐ Team: skills, history, role clarity.
☐ Funding ask: round size, allocation, expected outcomes.
☐ Valuation logic: method, benchmarks, and rationale.

☐ Product demo: live or high-quality recording.
☐ 3-year financial model: revenue, costs, sensitivity cases.
☐ Metrics sheet: all KPIs in one place.
☐ Cap table: ownership, ESOP, obligations.
☐ Roadmap: goals, deadlines, and success indicators.

☐ Clear narrative: concise, structured, no jargon.
☐ Focused answers: only as deep as needed.
☐ Risk awareness: tech, market, and operations.
☐ Mastery of numbers: metrics, assumptions, and drivers.
☐ Precision: data, not opinions.

☐ Product usage: activation, retention, engagement.
☐ Sales: MRR/GMV, velocity, funnel data.
☐ Proof of demand: paying users, LOIs, pilots.
☐ Economics: CAC, LTV, payback windows.

☐ Ask: exact amount.
☐ Use of funds: 3–5 priorities.
☐ Expected outcomes: measurable KPIs tied to the round.
☐ Valuation approach: method and justification.

☐ Why this team?
☐ Why now?
☐ How do you enter and scale the market?
☐ What are the major risks and mitigation plans?
☐ What protects your moat?
☐ What drives long-term economics?