Run a full coding agent locally.
No API bills. No limits. No data leaving your machine.
Private. Powerful. 100% free.
I made a step-by-step guide anyone can follow in minutes.
To get it, just:
→ Like + Repost
→ Comment “LOCAL”
→ Follow me (so I can DM)
Proposal (not a vote yet) for @CurveFinance governance to premint crvUSD to @yieldbasis. In this proposal I estimate what will Curve get from Yield Basis operation.
This is posted a little bit in advance of YB deployment, so feel free to comment!
https://t.co/SMAjBvqsrd
A regulated mortgage lender, LitFinancial, with an annual origination run-rate of $700M+ and is projected to be $1b by eoy is working with @Stably_Official on their stablecoin LitUSD
It is designed to tokenize Lit's idle cash to reduce Lit's cost of capital
@CurveFinance for litUSD/sfrxUSD have been deployed, with continuous incentives coming on-chain
Incentive szn on @ConvexFinance is coming
More on the gov prop here: https://t.co/sdUNKXZ8Ds
STABLECOIN FARMERS: ARE YOU NOT ENTERTAINED?!
• 102.8% real yield in CRV & DAI
• LP is already $4.2mm+ deep
Name a better stablecoin farm right now. 🌾
Just built a WhatsApp AI agent that replaced an entire customer support team.
Sold the setup for $2,000 + $500/mo and clients are begging for more.
Here’s what it does:
– Reads your company’s Google Doc (FAQs, policies, service info)
– Lets customers ask anything on WhatsApp
– Replies instantly using ChatGPT or Gemini
– Handles hours, pricing, bookings, even dynamic logic like closure dates
– No retraining, no dev work just update the Doc and it works
Perfect for gyms, clinics, restaurants, service businesses, or anyone tired of answering the same 20 questions daily
Built it in n8n + WhatsApp Cloud API: no code, no friction.
Follow + RT+ Comment “CHAT”
I’ll DM you the entire plug and play workflow
HOLY SH*T... I just CRACKED the biggest problem with AI coding...
Large codebases + AI = complete chaos and hallucinations
But I found a system that keeps AI laser-focused on production-level projects
No $50/month tools needed
Here's my exact method 🧵👇
There's a shocking fact about AI that nobody tells you: You can catch up to the public AI research frontier in just 2 weeks. Yes, really.
I've built a $150M annual revenue startup over the last 8 years and If I were to start a company today, I’d drop everything and go all-in on AI.
But like many busy software builders, I felt lost—overwhelmed by the noisy, crowded and fast-moving modern AI landscape. And I wasn’t alone.
So I spent my entire holiday diving deep into AI research—reading 30+ papers, watching hours of lectures, analyzing trends, and catching up to the research frontier.
✨ Here’s what I learned:
- You don’t need months (or years) to catch up.
- You don’t need a PhD or decades of ML experience.
- You need fewer than 20 papers and 2 weeks to understand the major breakthroughs shaping AI today.
It's because the technology is extremely nascent and most techniques that came before are no longer relevant:
- ChatGPT is barely 2 years old and Transformers are only 7 years old.
- Most game-changing discoveries happened within the last 4 years, driven by a few breakthrough ideas, scaling laws, and efficient matrix multiplication.
The biggest secret?
Many groundbreaking AI papers with thousands of citations are surprisingly simple and applied, like adding "let's think step by step" to the prompt, or simply asking the LLM over and over again to improve its answer (Self-Refine).
I realized there are tons of founders and builders in the same boat—wanting to dive deeper into AI but unsure where to start.
I've created an essential AI Guide that helped me catch up, in just 2 weeks, to the frontier of public AI research to figure out where the next opportunities and gaps were:
- Curated list of only the most important papers
- Simple explanations of key concepts
- Clear pathway to understanding the frontier of modern AI
It’s perfect for:
- Founders expanding into AI
- Builders wanting to innovate at the frontier of AI
- Investors looking to separate the signal from the noise
👇 Want the full guide?
- Like and Share this post
- Comment "AI Guide"
- I'll send you the complete guide
(ps, I’m also teaming up with @VishalVasishth, co-founder of @obviousvc with @ev (focused on large-scale societal impact companies like Twitter, Medium, Beyond Meat), to host a small meetup to discuss what's working and needs to be solved in the AI stack in SF. Message me if you're interested)