^{AI MARKET PULSE}
Two College Students Raised $5.1M to Build an AI Network—Entirely Inside iMessage

Series, a social networking startup built by two Yale seniors, just raised a $5.1 million pre-seed round from investors including Reddit’s CEO and the Venmo co-founder . The product runs entirely through iMessage, where users describe who they want to meet and receive AI-curated “shares” of potential connections. What stands out isn’t just the product—it’s the speed. The founders iterated through multiple ideas in under a year, filmed a viral launch video overnight, and met their first investor within two days. The deeper thesis: the barrier to building and funding startups is collapsing, and AI-native founders are moving faster than incumbents can react.

So what does that mean for you?

The window to build is wide open—but it favors people who move quickly. You don’t need perfect ideas or polished products. You need speed, iteration, and distribution. In practical terms, that means:

• Launch before you feel ready—momentum now matters more than polish
• Use AI tools to compress weeks of work into days
• Treat distribution (content, audience) as part of the product from day one

👉️ Read the article here

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^{WORKFLOW BUILDER}
The Research Assistant Workflow

Goal: Quickly fact-check a claim or gather credible sources to support a business idea, pitch, or piece of content.

Steps:

1. Define the Claim or Question
   Start with one clear statement you want to verify or support. Be specific—vague inputs lead to weak sources.

   • Prompt (Perplexity):
   “What are the most credible sources supporting or challenging this claim: ‘[Insert claim or idea]’? Prioritize recent data, named experts, and real statistics.”

   ➡️ Next: Scan results and save 3–5 strong sources.

2. Pressure-Test the Claim
   Don’t just confirm—look for what could break your argument.

   • Prompt (Perplexity):
   “What are the strongest counterarguments or criticisms of this claim: ‘[Insert claim]’? Include expert opinions or data that challenge it.”

   ➡️ Next: Note any weaknesses or gaps you need to address.

3. Extract the Best Evidence
   Pull out the strongest, most usable proof points.

   • Prompt (Perplexity):
   “From the most credible sources on this topic, extract 5 key data points, statistics, or quotes I can use to support this claim: ‘[Insert claim]’”

   ➡️ Next: Keep only the clearest, most compelling 2–3 points.

4. Translate Into Business Language
   Turn raw research into something persuasive and usable.

   • Prompt ChatGPT:
   “Turn these data points into a clear, persuasive paragraph I can use in a proposal or piece of content: [Paste data points]”

   ➡️ Next: Adjust tone to match your audience (investors, clients, readers).

5. Package for Your Use Case
   Shape the research into the final format you need.

   • Prompt ChatGPT:
   “Using this research, write:
   • A short argument supporting this claim
   • 3 bullet proof points
   • A one-line takeaway
   Claim: [Insert claim]
   Evidence: [Paste refined points]”

   ➡️ Next: Plug this into your pitch deck, newsletter, or sales page.

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^{TODAY’S PROMPT}
Design a Low-Risk Digital Product People Actually Want

This mega-prompt acts like a digital product strategist, turning your skills, audience, interests, and available time into a simple product idea you can build without needing a huge following. It gives you the product concept, target buyer, promise, outline, sales angle, and launch checklist.

👉 Use the prompt + check out my example output here

Act as an expert digital product strategist for solopreneurs.

Your job is to help me design a low-risk digital product I can create and sell without needing a large audience, paid ads, or a complicated tech setup.

Use my inputs to identify the simplest product idea with the strongest chance of getting real buyer interest.

INPUTS:

1. My skills or experience:
[Describe what you know how to do, teach, organize, simplify, or explain]

2. Audience or market I understand:
[Describe the people, niche, profession, hobby group, or customer type you understand best]

3. Problems I can help solve:
[List 3-5 problems, frustrations, or repeated questions this audience has]

4. Time available to build:
[How many hours per week can you spend creating this product?]

5. Preferred product format:
[Template, checklist, mini-guide, Notion system, swipe file, spreadsheet, prompt pack, worksheet, planner, etc.]

6. Comfort level with selling:
[Low, medium, or high — and explain briefly]

7. Existing audience or distribution:
[Email list, LinkedIn, X, Instagram, Reddit, local network, communities, past clients, none yet]

OUTPUT:

Create a complete low-risk digital product plan with the following sections:

1. Best Product Idea
Give me one recommended product concept and explain why it fits my skills, audience, time, and sales comfort.

2. Target Buyer
Define the specific person this product is for, including their problem, current frustration, and desired outcome.

3. Product Promise
Write a clear one-sentence promise that explains what the buyer gets and why it matters.

4. Product Outline
Break the product into sections, pages, modules, templates, or assets I need to create.

5. Sales Page Angle
Write a simple sales page structure with headline, subheadline, bullet benefits, objection handling, and call-to-action.

6. Validation Plan
Give me 3 simple ways to test demand before building the full product.

7. Launch Checklist
Create a 7-day checklist to validate, build, package, and launch the product.

8. Tool Stack
Recommend the simplest tools I should use to create, deliver, and sell the product.

If anything is missing, make the most reasonable assumption and state it briefly before the plan.

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^{AI SPOTLIGHT}
DeepSeek Launches V4 Model, Pushing Open-Source AI Closer to Frontier Performance

Chinese AI startup DeepSeek has unveiled a preview of its V4 model, introducing both a high-performance “Pro” version (1.6T parameters) and a more efficient “Flash” variant designed for lower-cost deployment. The company claims V4 leads all open-source models and trails only top closed systems like Gemini, while also outperforming peers in math, coding, and reasoning tasks. Analysts say the model could deliver strong agent capabilities at significantly lower cost, reinforcing a growing belief that Chinese AI labs can compete on performance while undercutting on price. The release also triggered market reactions, with Chinese chip stocks rallying amid expectations that domestic hardware—potentially Huawei’s Ascend processors—can support these frontier models. The deeper thesis: the AI race is no longer just about model performance—it’s about who can deliver it cheaper, faster, and without relying on Western infrastructure.

Key Takeaways:

• DeepSeek’s V4 model claims top-tier performance among open-source systems, with variants optimized for both power and efficiency
• Analysts believe the model could enable strong AI agent capabilities at a significantly lower cost than competitors
• The launch highlights growing momentum behind China’s domestic AI stack, including chips and infrastructure supporting advanced models

👉️ Read the full article here

^{AI QUICK HITS}

💰 Google plans to invest up to $40B in Anthropic, doubling down on compute access as the defining bottleneck in the AI race while the startup’s new Mythos model raises both capability and safety concerns.

🎙️ Hardware company Nothing just launched an on-device AI dictation tool supporting 100+ languages, signaling a push toward system-level voice interfaces baked directly into everyday devices.

⚛️ Oklo is teaming up with NVIDIA and Los Alamos to explore nuclear-powered AI infrastructure, highlighting how energy—not just chips—is becoming a critical constraint for scaling AI systems.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—65% were wrong!

Did you vote in the poll from April 24th? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

Become An AI Expert In Just 5 Minutes

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