Built https://teapawt.org/t.co/HPoFyD35a0 from zero to acquisition. Sharing everything I learned about what breaks (and what works) at early-stage startups.
Joined October 2014
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@PaulYacoubian and I are excited to share what we've been working on over the last few weekends!
Launching Copy.ai
If you hate writing marketing copy, it will blow your mind. We improved on GPT-3 to write copy for any product and for any audience in seconds.
Try it free for 7 days. Unlimited usage. No beta invitation needed.
One line of code and you save a ton of tokens
After a looooong wait, you can now use Glen in Claude Code Cloud.
It's super easy to set up, and you can have Glen working with your cloud agent in just a few minutes.
It's possibly one of the easiest, lowest-lift things that you can add to your dev tool stack to dramatically increase your shipping speed.
I'd invest if Will raised a hedge fund 😂
The benefits of abundant intelligence will accrue far outside of San Fransisco.
Spent the last year writing about capital, sovereignty, and the coming reordering of economic power.
THE COMMANDING HEIGHTS
Commanding-Heights.com
Nikos is one of the most thoughtful high slope entrepreneurs I’ve met and it shows in his products! Check it out!
I’ve been building with LLMs since my first startup in 2022, and for years I waited on the sidelines for someone to solve memory.
Nobody did, so I spent the last 4 months building it: a shared learning layer that gives every agent on your team the context your best engineer carries around. Today we’re opening it to everyone: Glen
• 21% faster to a merged change while using 1/3 fewer tokens.
• One agent learns something, every agent on your team knows it (harness agnostic, cross teammate)
First 15,000 memories are free, we are building the shortest path to a truly compounding org.
This looks insane!
🚀 We’re thrilled to announce the release of Lucky Engine 2026.3! "The Matrix for Robots" is now 100% Agentic 🤖✨
To train autonomy, you need a "Matrix" a virtual playground where they can learn before touching the physical world.
Today, we are dropping Lucky Engine 2026.3, and we think that it redefines how synthetic environments are built.
• Real-time ray tracing & path tracing
• 100% agentic (AI agents fully control the engine)
• Upload a photo → instant data generation for your policies
• Graph-based procedural generation, AI generated determinism
• No Blender required. Here’s what’s inside 🧵 👇
Chris Lu retweeted
Your AI is vaporware without deep integrations with your customers’ systems of record.
Introducing @WithAmpersand: integration infrastructure for enterprise agents.
We power 11x, Orb, and Square's ability to take agentic action in systems of record like Salesforce, SAP, NetSuite, and Workday.
Ask anyone serious about building AI and they’ll tell you:
- The SaaSpocalypse didn’t happen. The world depends on CRMs, ERPs, HRISs, and ITSMs.
- Your customers customized their deployments beyond recognition.
- Systems of record companies are basically monopolies. They never had to make their APIs and MCPs user-friendly.
- Docs don't explain half the weird edge cases you'll hit.
- One bad write can blow up your pilot or renewal.
- Once you finally get it working, someone changes a field and it breaks again.
The world's data lives in structured databases. AI needs a translation layer to work with it.
So, for your AI to truly transform the way enterprises work, you'll need deep integrations built for:
- scoped permissions
- bi-directional actions
- real-time speed for agents
- custom objects, fields, and workflows for each of your customers
We built Ampersand to power the future of software.
AI didn't trivialize writing integrations. It made them the critical path.
I believe that deeply, so I didn't make a launch video about Ampersand.
Instead, it's the best builders I know explaining just how big of a challenge this is.
I've looked at so many iPaaS, ETL, etc. platforms. Ampersand is the absolute best for deep product integrations. They allow you to create your own unified API across the hardest systems (CRM, ERP, etc.)
Congrats on the Series A!!
Your AI is vaporware without deep integrations with your customers’ systems of record.
Introducing @WithAmpersand: integration infrastructure for enterprise agents.
We power 11x, Orb, and Square's ability to take agentic action in systems of record like Salesforce, SAP, NetSuite, and Workday.
Ask anyone serious about building AI and they’ll tell you:
- The SaaSpocalypse didn’t happen. The world depends on CRMs, ERPs, HRISs, and ITSMs.
- Your customers customized their deployments beyond recognition.
- Systems of record companies are basically monopolies. They never had to make their APIs and MCPs user-friendly.
- Docs don't explain half the weird edge cases you'll hit.
- One bad write can blow up your pilot or renewal.
- Once you finally get it working, someone changes a field and it breaks again.
The world's data lives in structured databases. AI needs a translation layer to work with it.
So, for your AI to truly transform the way enterprises work, you'll need deep integrations built for:
- scoped permissions
- bi-directional actions
- real-time speed for agents
- custom objects, fields, and workflows for each of your customers
We built Ampersand to power the future of software.
AI didn't trivialize writing integrations. It made them the critical path.
I believe that deeply, so I didn't make a launch video about Ampersand.
Instead, it's the best builders I know explaining just how big of a challenge this is.
Listened to two podcasts, one with @dougleone and one with Mike Moritz
They both said that their children / grandchildren gave them the most happiness and meaning
Chris Lu retweeted
Excited to announce Volantis's $88M Series A.
We are solving Al's memory bottleneck by using optics, enabling chips with huge amounts of fast & cheap memory.
By boosting both the memory bandwidth and capacity per chip by orders of magnitude, we enable ultra-fast inference (up to 10,000 tps/user) for large models (>10T) - with low $/tok to boot.
Initially, this will enable insanely fast agents - think coding agents that finish in minutes or even seconds instead of hours.
More excitingly, optics is a fundamentally scalable way to increase memory systems. Not 2X/year, but by orders of magnitude across new generations. This will enable a structurally new Al industry, including restarting scaling laws, holding entire repos in context windows & more.
Our team has pioneered many core semiconductor technologies: the 1st CoWoS product, early HBM, the 1st silicon photonics CPO systems, the 1st high volume tunable VCSELs, the 1st processors to directly communicate using light & more.
We’ve already sent data >10× farther than equally tiny electrical wires inside a chip package. Our next iteration is already taped out and targets world-record bandwidth density over relevant distances, read more: volantissemi.ai/news-insight…
in "early 2020 when we talked about AGI people used to describe it as Ilya in every 'if statement'"
🤣
youtu.be/Ut3LOjKNJaE
Chris Lu retweeted
This is Kled V3. We've solved data collection for artificial general intelligence.
Any consumer dataset that can exist, can now be collected from physical reality in under 72 hours.
All powered by the largest and most comprehensive data application layer on the planet. (Thread)
Jev by @typesafeai went from 0 to $100m in 7 DAYS...WTFFFF
The @BostonCollege Investment Committee (an LP and my beloved alma mater) asked for a few thoughts on what's happening in AI. I recorded a test run yesterday morning and then shared it with my partners, who encouraged me to share it more broadly... so here you go!
This is not a sales pitch, it's just a reflection on what we're seeing. And it wasn't intended to be shared, so please pardon the rough edges.
loom.com/share/c016702964a04…
Chris Lu retweeted
Can Jev replace ATC aka air traffic controllers?
It did for me. You can try to! Trigger a Mayday, close a runway, invite storms, its instant on how it adapts! Parallel runways too.
PS: No plane was hurt while building this. Try it out: atc.vibe.agnost.ai/
Right when GPT-3 launched, people who emailed Greg Brockman were able to get off the waitlist if they had an interesting idea! Gave us a 1 year head start for CopyAI!
Chris Lu retweeted
Stop using your agent logs just for debugging.
Use them to train your own model.
Today we're launching Agnost AI (YC S26)'s first model: agnost-*******-0.1
Trained for our first customer on their existing production traces & it beat the frontier:
+22.9% task success
−90.2% latency
−94.5% cost
If you ever thought of fine-tuning your own model, we'll do it for you, talk to us!
