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Kunal Anand
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Kunal Anand
@ka
Product & Technology @F5. I love making things.
Seattle Katılım Mart 2009
150 Takip Edilen3.2K Takipçiler
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Introducing OpenMythos
An open-source, first-principles theoretical reconstruction of Claude Mythos, implemented in PyTorch.
The architecture instantiates a looped transformer with a Mixture-of-Experts (MoE) routing mechanism, enabling iterative depth via weight sharing and conditional computation across experts.
My implementation explores the hypothesis that recursive application of a fixed parameterized block, coupled with sparse expert activation, can yield improved efficiency–performance tradeoffs and emergent multi-step reasoning.
Learn more ⬇️🧵

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From early Nirvana to Phish, a Chicago fan’s secret recordings of 10,000 shows are now online. blockclubchi.co/4t6zW7R

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Most tech companies break out product management and product marketing into two separate roles: Product management defines the product and gets it built. Product marketing wires the messaging- the facts you want to communicate to customers- and gets the product sold. But from my experience that's a grievous mistake. Those are, and should aways be, one job.
There should be no separation between what the product will be and how it will be explained- the story has to be utterly cohesive from the beginning. Your messaging is your product. The story you're telling shapes the thing you're making.
I learned story telling from Steve Jobs. I learned product management from Greg Joswiak. Joz, a fellow Wolverine, Michigander, and overall great person, has been at Apple since he left Ann Arbor in 1986 and has run product marketing for decades. And his superpower- the superpower of every truly great product manager- is empathy. He doesn't just understand the customer. He becomes the customer.
So when Joz stepped into the world with his next-gen iPod to test it out, he fiddled with it like a beginner. He set aside all the tech specs- except one: battery life.
The numbers were empty without customers, the facts meaningless without context.
And, that's why product management has to own the messaging. The spec shows the features, the details of how a product will work, but the messaging predicts people's concerns and finds way to mitigate them.
- #BUILD Chapter 5.5 The Point of PMs
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🚨Breaking: Someone open sourced a knowledge graph engine for your codebase and it's terrifying how good it is.
It's called GitNexus. And it's not a documentation tool.
It's a full code intelligence layer that maps every dependency, call chain, and execution flow in your repo -- then plugs directly into Claude Code, Cursor, and Windsurf via MCP.
Here's what this thing does autonomously:
→ Indexes your entire codebase into a graph with Tree-sitter AST parsing
→ Maps every function call, import, class inheritance, and interface
→ Groups related code into functional clusters with cohesion scores
→ Traces execution flows from entry points through full call chains
→ Runs blast radius analysis before you change a single line
→ Detects which processes break when you touch a specific function
→ Renames symbols across 5+ files in one coordinated operation
→ Generates a full codebase wiki from the knowledge graph automatically
Here's the wildest part:
Your AI agent edits UserService.validate().
It doesn't know 47 functions depend on its return type.
Breaking changes ship.
GitNexus pre-computes the entire dependency structure at index time -- so when Claude Code asks "what depends on this?", it gets a complete answer in 1 query instead of 10.
Smaller models get full architectural clarity. Even GPT-4o-mini stops breaking call chains.
One command to set it up:
`npx gitnexus analyze`
That's it. MCP registers automatically. Claude Code hooks install themselves.
Your AI agent has been coding blind. This fixes that.
9.4K GitHub stars. 1.2K forks. Already trending.
100% Open Source.
(Link in the comments)

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Everyone is getting hill-climbing-pilled this month
Deedy@deedydas
Karpathy's Autoresearch pushed my vibecoded Rust chess engine AI from "expert" to a top 50 grandmaster, a #311 chess engine. It ran over 70 experiments on its own and tried to hill climb to the top ELO score it could, landing at 2718!
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i was never a hyperproductive engineer like greg but I’m legitimately running more new complex rewards experiments, test time harnesses in a week than I used to in a quarter. makes you feel like all this is commodified and you need to dream much bigger
Greg Brockman@gdb
codex is so good at the toil — fixing merge conflicts, getting CI to green, rewriting between languages — it raises the ambition of what i even consider building
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I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents.
I didn't write a single line of code.

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Kunal Anand retweetledi

2026 is the year of making apps that perfectly align with how you think and work.
Kunal Anand@ka
Meet Tiro. A minimalist journal focused on speed, clarity, and continuity. If you don't finish a task, it follows you to tomorrow. Frictionless capture, built-in accountability. Stack: Go + Vanilla HTML/JS + Local Storage Named after Cicero’s scribe, who invented shorthand.
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@rameshd Love the Fuji stocks. I have so many developed rolls of Velvia!
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@ka Awesome, Reminds me of my first Pentax and Kodak Gold 200 .. wondering what would take to add Fuji Velvia 100
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"I'll be the phonograph that plays your favorite albums back as you're lying there, drifting off to sleep." youtu.be/nRANGq3Pbqs?si…

YouTube
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