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Today’s Deal:
- ? Instant download. One-time price (less than a single coffee).
You’re a dev with AI superpowers. APIs, embeddings, fine-tuning, RAG, langchains — all loaded in your toolkit.
But despite all that, something’s not working.
You build. You launch.
Silence. Not even Moriarty would click your link.
The crime?
Murdered attention. Killed before your product had a chance.
Today, let’s solve the mystery — Sherlock style. ??️
? Case #001: The Startup That Solved Nothing
Most AI startups start like this:
- Watch AI video on YouTube
- Think: “Omg I can build that!”
- Spin up a Next.js app
- Launch a product that’s technically impressive
- Watch tumbleweeds roll across your dashboard
? Clue #1: No one was looking for this solution.
Most devs see cool tools and try to replicate them, not realizing:
Your job isn’t to build — your job is to investigate.
? Rule #1: Find the Hair-on-Fire Problem
Holmes didn’t walk around offering “AI summarizers” to people on the street.
He looked for urgency. Specificity. Emotional stakes.
In startup terms:
Don’t solve “content creation.” Solve “I’m a real estate agent with 48 emails and 2 hours before showings.”
? Action:
- Go to local business websites. Bad ones.
- Imagine what would make them scream in relief: “YES! I NEED THIS!”
- That’s your crime scene.
Before writing code, write a Google search:
If no one’s searching, you might be too early. Or worse: irrelevant.
But if you find these golden queries with low competition and high intent, you’ve struck startup gold.
? Bonus tip: You don’t need 10 blog posts to rank.
One page. The right keywords. Focused copy.
(For those who want the cheat codes: . But we’ll keep our trench coat on for now.)
?️ Rule #3: Use AI to Build for the Boring
Everyone wants to build “AI for creators.”
No one’s building “AI for roofing companies in Tulsa.”
Guess which one pays?
The riches aren’t in the niches. They’re in the boring, high-friction workflows that AI can automate.
Some suspects to interrogate:
- Law firms that still manually draft follow-up emails
- Physical therapy clinics with no digital intake
- Dentists that get ghosted on appointment confirmations
- Local contractors who forget to follow up on leads
Build AI for those.
? Rule #4: MVP Means “Minimal Viable Page”
Your MVP is not a backend.
It’s a landing page.
If you can’t get someone to click, scroll, and say “yes” on a single page — don’t write a single function.
Think of it like this:
? Rule #5: Collect Evidence (aka Leads)
Put a simple form:
If someone fills that out, follow up immediately. Not with a bot. With you.
Ask questions. Iterate. Don’t fall in love with your first theory. You’re still solving the case.
? Rule #6: Market Like a Detective, Not a Magician
Don’t disappear into code for 6 weeks and return hoping people notice.
Document the clues as you go:
- Tweet when you find your niche
- Post about interviews with local business owners
- Share “before/after” ideas of how their workflow could look with your AI
People love following a case. Invite them in.
? TL;DR: The Holmes Framework for AI Devs
- Investigate, don’t assume. Start with a real-world tension.
- Use local SEO like a magnifying glass. Follow search intent.
- Build boring tools that print money. AI + niche = leverage.
- One page before one feature. Prove value fast.
- Validate like a detective. Collect leads, not likes.
- Show your work. Build trust by building in public.
If your AI product feels like a cool science fair project, it won’t sell.
But if it solves a sharp pain — especially for overlooked, local niches — you can charge real money.
Be the dev who observes, not just sees.
???????
Now go solve something real.
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