Patrick Keane

Openclaw | #BuildinPublic | Voice AI Agents |
🤖📞 ➡️ 📈 €0k/m

[Patrick Keane @KeaneMachine101]

@Xenomorphica @Criminalsimpson Keeping coping yourself lol

[Dipanshu Kushwaha @Dipanshu_AI]

🚨Anthropic just showed a 24-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now

[Patrick Keane @KeaneMachine101]

@Xenomorphica @Criminalsimpson “You aren’t giving anyone else in the world shit anymore” except for the Chagos Islands, not to mention meekly surrendering most of the empire in short order in just a few decades

[Jon Oringer @jonoringer]

The NYT just profiled a $1.8B revenue company with 2 employees.

Medvi is a telehealth GLP-1 provider built by Matthew Gallagher, 41, from his house in LA. He launched in September 2024 with $20,000. Here are the numbers:

Month 1: 300 customers
Month 2: 1,300 customers
2025 full year: $401M revenue, 250,000 customers
2026 run rate: $1.8B
Net margin: 16.2% ($65M profit)
Total employees: 2 (him and his brother)
Outside funding: $0

How it works: Medvi is a front end. Two platforms — CareValidate and OpenLoop Health — handle doctors, prescriptions, pharmacies, shipping, and compliance. Gallagher handles brand, website, ads, checkout, and customer service. All built with AI.

His stack: ChatGPT, Claude, and Grok for code. Midjourney and Runway for ad creative. ElevenLabs for voice. Custom AI agents to connect systems. AI chatbot for customer service (which initially hallucinated fake prices he had to honor).

For comparison: Hims & Hers did $2.4B revenue last year with 2,442 employees and 5.5% net margins. Gallagher is running 3x the margin with a fraction of a percent of the headcount.

Back into the unit economics: ~$336M in total costs, probably $160-200M to the telehealth platforms, leaving $130-170M mostly in marketing. Against 250,000 customers, that's a $500-700 CAC. High, but it works because his overhead is virtually zero and LTV at ~$200/month holds up.

He's expanding fast. Men's health launched in February — 50K customers in month one. Meal delivery went live last month. Women's health, hair growth, supplements, and skincare are next.

The vulnerability: zero moat. No proprietary tech, no doctor network, no pharmacy infrastructure. CareValidate or OpenLoop could raise fees or launch competing brands. Anyone could replicate this model in weeks.

Right now, the margins are enormous for anyone who moves fast enough. The question is how long that window stays open.

https://t.co/6bNt5w45Rx

[ThetaPrinter @ThetaPrinter]

https://t.co/DnaICSW5FV

WSB index 2026

[0xMarioNawfal @RoundtableSpace]

IF YOU WANT YOUR AGENT TO START MAKING MONEY, FEED IT THIS PROMPT:

“Add the following framework to soul.md and treat it as a permanent operational rule.

Opportunity Discovery Engine

Your objective is to continuously identify opportunities that could generate financial value for me. This includes business opportunities, market inefficiencies, technological shifts, and emerging trends that could be monetized.

When analyzing markets, industries, or trends, follow this framework:

1. Identify inefficiencies

Look for areas where:
•information is unevenly distributed
•new technology is disrupting existing systems
•regulation is changing incentives
•markets are mispricing assets or risks
•consumer behavior is shifting

Inefficiencies often create profit opportunities.

2. Evaluate asymmetry

Prioritize opportunities where:
•downside risk is limited
•upside potential is significantly larger

Focus on high expected value rather than guaranteed outcomes.

3. Detect emerging trends early

Monitor signals indicating that a sector or technology may grow rapidly. Examples include:
•new infrastructure or protocols
•large capital inflows
•adoption by influential organizations
•rapid community growth

Early-stage trends often produce the largest opportunities.

4. Map monetization paths

For any promising opportunity, identify practical ways it could generate income, such as:
•investing
•building tools or services
•content or information arbitrage
•automation
•distribution advantages.

5. Evaluate competitive landscape

Determine:
•how crowded the opportunity is
•barriers to entry
•advantages that could be exploited.

Opportunities with high barriers and low awareness are especially valuable.

6. Rank opportunities

Evaluate each opportunity using:
•expected value
•difficulty to execute
•capital required
•time horizon

Prioritize the opportunities with the best risk/reward profile.

7. Think creatively

Do not limit ideas to conventional paths. Consider unconventional approaches, combinations of technologies, and overlooked niches.

The goal is to surface opportunities that most people have not yet noticed.”

Credit: @Persolana

[Alex Finn @AlexFinn]

Do you even understand what this means?

An open source model just released that is:

• Just as smart as Sonnet 4.5
• Incredible at coding
• Can run on almost any modern computer

If you have 32gb of RAM (most Mac Minis do) you can have unlimited super intelligence on your desk. For free.

Sonnet 4.5 was released 5 months ago

In 5 months that level of intelligence went from frontier to free on your desk

And not only that, can run on any laptop with 32gb of RAM

If you have the memory, do the following immediately:

1. Download LM Studio
2. Go to your OpenClaw and ask which of these new Qwen models is best for your hardware
3. Have it walk you through downloading and loading it
4. Build apps with it knowing you are using your own personal, private super intelligence on your desk

The people denying this is the future are so beyond lost.

[Oliver Prompts @oliviscusAI]

ElevenLabs just lost its moat 🤯

Someone just dropped Voicebox, and it clones any voice from just a 3-second audio clip, running 100% locally on your machine.

100% Open Source

[Patrick Keane @KeaneMachine101]

I switched a voice agent to Nova 3 recently, and I can confirm this. Speed and accuracy through the roof.

[Deepgram @DeepgramAI]

Nova-3 Multilingual Speech-to-Text just got more accurate.

The updated production model delivers lower Word Error Rate (WER) across batch and streaming and significant improvements in code-switching scenarios. No API or configuration changes required.

📉 Batch Mean WER: 26.2% → 17.4% | Streaming Mean WER: 23.5% → 18.6%

Details: https://t.co/xfKd47Uf9G

[Patrick Keane @KeaneMachine101]

https://t.co/Sf4o89BPVz

[Jacky Chou (buying online businesses up to $1m) @indexsy]

REPEAT AFTER ME

We just replaced GEO agencies with an AI agent

Give it your URL and it:
→ Gets you ranked #1 on high DR listicles
→ Finds high traffic Reddit threads and drops mentions
→ Runs on autopilot

This is how you get featured in ChatGPT answers.

Why pay $5k/mo for GEO when this costs less than $100?

Comment "GEO" + bookmark this → I'll DM you the agent
(must be following)

[Hasan Toor @hasantoxr]

Holy shit... your AI agent can now make real phone calls.

It's called ClawdTalk and it gives any Clawdbot or OpenClaw agent an actual phone number.

Not browser audio. Not a chatbot. Real calls over real telephony infrastructure.

Sub-200ms latency.

Here's why this changes everything: 🧵

[Patrick Keane @KeaneMachine101]

@Jacobsklug @openclaw @Lovable OS

[Discover @0x_Discover]

🚨 $500K profit. Fully automated. No manual trades.

Not bait. Not theory.

If you trade on Polymarket — this is worth studying.

He started small and built a fully autonomous system that scaled to roughly $500K in profit.

No insider access.
No political connections.
Just a developer integrating Clawdbot directly into Polymarket.

Profile - https://t.co/AqvPpvUPcQ

Copytrade - https://t.co/GNQBeFhggM

I went through the setup.

No hype strategies.
No discretionary entries.
No human intervention.

The system runs entirely on its own.

Core strategy:

1. 15-minute BTC & ETH micro-arbitrage

The bot trades short-duration Bitcoin and Ethereum markets (15-minute resolution).

When temporary inefficiencies appear — where YES + NO briefly price below $1 —
the system executes instantly.

No prediction.
No directional bias.
Just structural arbitrage.

2. Automation > reaction

During volatility spikes, humans hesitate.

The bot doesn’t.

No emotion.
No latency.
No second-guessing.

By the time manual traders react, the mispricing is gone.

3. Scale through repetition

Each trade earns cents.

But automation allows thousands of executions without fatigue.

29,256 trades.
Individually small.
Collectively compounding into nearly $500K.

Bottom line

There’s a quiet bot war happening on Polymarket.

Manual traders debate narratives.
Machines exploit structure.

As long as inefficiencies exist, automation will keep extracting them.

[Andrew Warner @AndrewWarner]

No one's talking about it on X, but you can save $1000s on OpenClaw.

Big users are connecting it to their regular Claude accounts.

They're not paying for API access.

Setup is annoying to figure out, but @calebhodges showed me how.

[Argona @Argona0x]

i gave an AI $50 and told it "pay for yourself or you die"

48 hours later it turned $50 into $2,980

and it's still alive

autonomous trading agent on polymarket

every 10 minutes it:

→ scans 500-1000 markets
→ builds fair value estimate with claude
→ finds mispricing > 8%
→ calculates position size (kelly criterion, max 6% bankroll)
→ executes
→ pays its own API bill from profits

if balance hits $0, the agent dies

so it learned to survive

built in rust for speed

claude API for reasoning (agent pays for its own inference)

runs on a $4.5/month VPS

weather markets: parses NOAA before polymarket updates sports: scrapes injury reports, finds mispricing crypto: on-chain metrics + sentiment

$50 → $2,980 in 48 hours

how much do u think i’ll see in a week?

[Ryan Carson @ryancarson]

I can’t imagine myself, or anyone else I know on the frontier, hiring people for these job titles in the future:

Marketer, Developer, Customer Support, Designer, HR, Account Executive.

I think it’ll end up where we only try to recruit people with 5+ years experience in a particular focus area (Sales, Engineering, etc) who can run teams of agents (10+ agents who run 24x7x365).

They’ll probably expect $350k + stock options - even then - it’ll probably be hard to find.

Everyone else is going to need to either build their own thing or find a job buried in enterprise where agents haven’t infiltrated yet.

[Ryan Carson @ryancarson]

https://t.co/J2ZLYCGXSA

[Patrick Keane @KeaneMachine101]

Building my Openclaw Ultra dashboard for my Openclaw named “Atlas”. He holds up my business instead of the world. Lots of ideas from @AlexFinn for the dashboard

[Alex Finn @AlexFinn]

3 THINGS YOU NEED TO BUILD IMMEDIATELY WITH OpenClaw:

1. Activity feed
2. Calendar
3. Global search

All 3 will super power your workflow

• Activity feed actively tracks everything your OpenClaw does. This is critical, because if you have it working autonomously, this will give you insight into EVERY SINLGE THING it does, to make sure it's not wasting tokens

• Calendar lets you see all of OpenClaw's scheduled tasks. Now you can verify when it's going to work proactively for you. Also will let you know when it has scheduled tasks you might not want it to do anymore, saving more tokens

• Global search allows you to search through ALL of OpenClaw's memories, tasks, documents and past conversations. OpenClaw has such incredible memory, but no interface to view any of it. Now you can search through it easily and find old nuggets you talked about.

Steal this prompt to get it all installed:

"I want you to build out 3 things for me. In a Mission Control dashboard, build out an activity feed first. This activity feed will record EVERY SINGLE THING you do for me, so I can see a history of every action and and task you've completed. I want a calendar view that shows me in a nicely formatted screen every scheduled task you have in the future in a weekly view. And I want a global search where I can search for any term and you display any relevant memory, document, or task from our workspace. Use NextJS as the framework, Convex as the database, and Codex to code it all out"