Shawn Chang

Solo Developer building

[Shawn Chang @OffShawnChang]

Why do current AI Agents have god-tier skills, but can't even pay for a $1 coffee? ☕️🤖

When my Agent needed to call my Express API, instead of prompting a human to log in and enter credit card info, it automatically paid 0.001 USDC on its own via the x402 protocol.~cool💳

[Shawn Chang @OffShawnChang]

Hot take: Jensen Huang’s next move should be becoming the CEO of TSMC. 🧥⚡️
​Imagine the guy who designs the world's most powerful AI chips actually running the fabs that make them. Game over for the competition.
​Agree or completely crazy?

[Shawn Chang @OffShawnChang]

Built a lightweight security scanner for AI Agents & MCP tools! 🛠️⚡️

Watch how 3 micro-agents inspect a repo:
🔍 Scanner: 71 checks
⚠️ Risk Engine: Critical rating
✅ Reviewer: Verified evidence
Found an exposed API key in 3 seconds flat.

#BuildInPublic #CyberSecurity #DevOps

[Shawn Chang @OffShawnChang]

Why I’m building a smarter, privacy-first email screening tool for AI power users & devs.

Most tools send your entire raw inbox to expensive LLMs. We use JEV for local pre-screening, cutting API costs by 90% .

Would you pay for a tool that explains security risks ? 👇

[Shawn Chang @OffShawnChang]

Before installing that new AI Agent skill or MCP Server... can you honestly guarantee it’s not leaking your API keys? Reading your .env,malicious code. 💀

To keep my projects from getting wiped out, I spent the last few days building a lightweight security demo guardrail tool

[Ira Bodnar @irabukht]

Jev dropped the price of SEO/GEO fixes by 90%

Agents that audit and fix a client's SEO/GEO used to cost us ~$250

Here's where the savings come from:

1/ 30x faster reads of Search Console and PostHog/Mixpanel data

2/ 30x faster checks of what ChatGPT searches on Bing

3/ 30x faster modeling of what users ask Gemini and Claude

4/ 30x faster scans of who ChatGPT and Claude cite

5/ 30x faster analysis of the sources behind those citations

6/ 30x faster gap analysis: why they get cited and we don't

7/ 30x faster fixes across 1,000s of pages on large client sites

8/ 30x faster sorting of which page types ChatGPT cites

9/ 20x faster creation of the pages that make ChatGPT pick you

Available in the Ryze AI app and MCP/Claude Connector, link in the 1st comment 👇

[Coin-Op Karen's Arcade Corner @theArcadeKaren]

Finally 'finished' the B. Rap Boys FPGA core! Just need to… you know… actually start it. But hey, watering the devs' plants counts as debugging, right? #ArcadeDev #FPGA #BrapBrap

[Shawn Chang @OffShawnChang]

Trump should definitely play this. 🎮

He keeps complaining that Taiwan "stole" the chip industry. Let him try running a wafer fab for a day—who would even sign up for these crazy shifts in real life?! 🫠💀

@realDonaldTrump

[Shawn Chang @OffShawnChang]

A free web-based chip fab game is going viral in Taiwan!💻Tech folks are calling it "basically a horror game." 📷

Graphics are super retro, but the pain is 100% real for semiconductor engineers. @elonmusk should definitely give this a try!

https://t.co/wlaQ2QcSdE

[Shawn Chang @OffShawnChang]

@charlie94029004 @igeekbb 沒錯~往不同維度，看起來是車子，但拋棄了輪胎🚗

[Shawn Chang @OffShawnChang]

The Stripe for the AI Agent era. 💳
Zero human intervention. From request to on-chain settlement in just 3 seconds. ⚡️

Just successfully processed a micro-payment on the Base testnet using Express + x402 protocol!

The Machine Economy is officially here. 🚀
#BuildInPublic #Web3

[Shawn Chang @OffShawnChang]

Watching an AI seamlessly pay for its own API usage in real-time feels like stepping into the Machine Economy. So cool! 😎

[Shawn Chang @OffShawnChang]

Why do current AI Agents have god-tier skills, but can't even pay for a $1 coffee? ☕️🤖

When my Agent needed to call my Express API, instead of prompting a human to log in and enter credit card info, it automatically paid 0.001 USDC on its own via the x402 protocol.~cool💳

[0xMarioNawfal @RoundtableSpace]

THIS ONE SITE HAS OVER 400 JEV USE CASES, PROMPTS, AND PLUGINS

[Aayan @aaayandev]

Jev (@typesafeai) is so insane & cheap for search!!

> 6000+ @ycombinator Startups indexed.
> Sub 1 second search results.
> 90M tokens & $2.7 in total testing costs.

Search any startup in a second, in any way!
- Color - Niche - Your Competitor - Age - Image - etc...

> watch the entire video, it's so freaking cool omg!

> this is the coolest thing i have ever built for fun! (worked on it for 2 days straight!)

[Shawn Chang @OffShawnChang]

Building on Coinbase’s x402 protocol for AI agent payments... and got hit with an infinite loop error right at signup. 🫠
​The future of the AI economy is coming, but the onboarding is currently stuck in a portal to hell.
​Anyone else wrestling with the x402 SDK/Auth right now

[Shawn Chang @OffShawnChang]

📉 2024: BTC/ETH ETFs (Crypto 🤝 Wall St)

�� 2025: Stablecoin Act (USD/T-bills on-chain)

📈 2026: Stock Tokenization (Capital markets on-chain)

🤖 2027+: AI Agent × Agent Pay (Automated AI wallets)

[Shawn Chang @OffShawnChang]

The US strategy for Crypto is becoming crystal clear:

The master plan:
Crypto ➔ USD ➔ Wall St ➔ AI Economy ➔ Real World.

​Building the next-gen global financial system powered by the US Dollar and backing the AI economy. 🚀

🌐 Future: RWA (Real World Assets on-chain)

[CuiMao @CuiMao]

我喜欢 x 的理由不只是有广告分成可以拿，而是有全球各地优质的原创内容创作者可以相互交流，elon 真在创造 一个美好的社交生态。❤️

[Daniro @Dan1ro0]

This guy built a Bayesian Quant model and it made $1,362 a day on Polymarket

The result is already +$29,972 PnL in 22 days with only $29 per average trade, repeating the same setup 9 times every hour across BTC "Up or Down" markets

Several AI agents can handle probability, sizing and execution:

1. Every new BTC signal updates the probability through Bayes

The model starts with a prior probability and updates it whenever new market data arrives:

P(A|B) = P(B|A) × P(A) / P(B)

If BTC momentum strengthens and the model moves fair Up from 54% to 62% while Polymarket still trades at 53¢, the system sees a 9¢ gap

2. Kelly decides position size

f* = (bp - q) / b

Where:
p = model probability of winning
q = 1 - p
b = net payout for each unit risked
f* = suggested fraction to allocate

Higher probability and better payout increase f*, while a weaker edge pushes it toward zero

This trader’s Polymarket account: tiredofwinning2much

Follow this account and trade on Polymarket through this bot:https://t.co/lgSTl3PGDK

4,948 predictions with a 51% win rate

Most profitable trades:
$260 → $615 (+$355)
$253 → $602 (+$349)
$227 → $560 (+$333)

A similar Bayesian Quant setup can be built with Grok Bot, using AI agents for probability updates, sizing and execution

[KP @thisiskp_]

Billion dollar idea: Lovable for hardware

A new startup partners with a few factories in China that can ship parts in days

All you have to do is talk to the app about what you want and it follows the best possible hardware engineering practices and gets you the spec and allows you to order

Think of:
> desk lamps
> phone mounts
> custom decor
> electronic gadgets and more

For an additional price, it will come assembled ;)

Boom. Vibe hardware.