
Legal-trained entrepreneur. COO @NutriStyle: the nutrition intelligence platform for people who manage food and health on behalf of someone else.
Seattle
Joined March 2007
- Tweets17K
- Following7.5K
- Followers2.6K
- Likes48.6K
Currently watching Alabama v Texas A&M on an alternative ESPN channel with no play by play announcers or analysts. Only commentary is what fans in the stadium hear. Cannot overstate how enjoyable this is.
Lee Brillhart retweeted
I lost my job yesterday.
Rent was due.
No backup plan.
Then I remembered I still had Claude.
Asked it:
“Analyze every top Polymarket wallet from the last 90 days and build me something”
$25 → $4,237 in one night.
It scanned 10,000 wallets.
Cross-referenced win rates, sizing, timing.
Found 7 traders whose edge wasn’t luck.
Then built an autonomous agent.
Not a script.
Not an if-then bot.
An agent that reads live news,
maps it to markets,
detects mispricing,
and exploits arbitrage across outcomes.
Sizes every position using Kelly.
I deployed it at 11:47PM.
Closed the laptop.
Woke up to:
$25 → $4,237
94 trades while I slept.
No input.
No hesitation.
No second-guessing.
That’s the game.
Information asymmetry at machine speed.
Wall Street pays millions for this.
I pay $20/month.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word 'AutoPilot'
2. Like and Retweet this post
3. Follow me @tec_marco10 (so i can DM you)
SF Tech Week starts today, and I have quite a busy schedule ahead of me.
Most Tech Week events end up in crowded conference rooms with generic small talk.
I am spending the week at private tables with founders building at the frontier and the investors backing them.
Here is where I will be:
Oct 6, 6pm: The Al Founders Table. 20 Al founders for high-context conversations about building at the frontier.
Oct 7, 8pm: Poker After Dark. Poker mixer with founders, operators, and investors.
Oct 8: VC x Founder Match. Funded founders meet Tier 1 investors on a rooftop, with everyone matched before arriving.
Oct 8, 8pm: Secret Soirée at HFO. An evening at The Chateau with oysters, live jazz, and a bit of magic.
RSVP links are in the comments below.
Most teams scaling voice AI are overpaying on inference by 40% and do not even realize it.
They pick whichever default pipeline looks easiest and string together a high-latency LLM with an expensive TTS provider.
Here is what I am seeing across deployments:
- A dedicated voice stack paired with a smaller model will outperform a frontier model on both speed and cost for real-time conversation.
- Self-hosting inference or swapping your STT provider can cut spend significantly without hurting call quality.
- The default setup is almost never the cheapest or the fastest.
If you are spending $10k+ a month on voice AI infrastructure and want a second opinion on your stack, DM me.
Tell me what models and providers you are currently running, and I will point you toward the teams that can cut your spend in half.
getting traction on socials to prepare for the launch of his startup








