Hari Bukke Prasad

Founder, builder, engineer.

Love building products that are useful and delight people.

[Dear Son. @DearS_o_n]

Man to man.

[Superman @thesupermanmx]

China open-sourced a peanut-sized OCR that parses entire 100-page PDFs in one shot..

It's called Unlimited-OCR. Only 3B params. Runs locally.

Every other OCR tool chops your doc into pages and loses the thread. this one reads the whole thing in a single pass.

→ One-shot "long-horizon" parsing (32K context window)
→ Multilingual, out of the box
→ 93% on the standard parsing benchmark (+6 over baseline)
→ <0.11 error rate past 40 pages
→ Runs 100% locally on your own hardware
→ Works with Transformers, vLLM, SGLang, Docker, Ollama, llama.cpp

Traditional cloud OCR (Textract, Google Vision, Azure Doc Intelligence) costs $1.50–$15 per 1,000 pages.

This runs on your machine. For free. Forever.

Baidu built it explicitly to push DeepSeek-OCR one step further. Already at 1.9M downloads on Hugging Face and most people have no idea it exists yet.

100% open source.

[Robert Greene @RobertGreene]

It is your own bad strategies, not the unfair opponent, that are to blame for your failures. You are responsible for the good and bad in your life.

[Reads with Ravi @readswithravi]

James Clear: The ability to bounce back quickly is a key skill in life.

[Hari Bukke Prasad @haribukke]

@TommiPedruzzi @NavalismHQ Cheater pro max

[Hari Bukke Prasad @haribukke]

@TommiPedruzzi @NavalismHQ Cheater!

[Avery Chauhan @averyx99]

Gucci, LV and Dior are not luxury. They're for people who want to look rich.

The people who are rich (actually rich) wear something else entirely.

Zegna. Loro Piana. Brunello Cucinelli.

Most people reading this won't recognise these names. That's not a marketing failure, it's the entire strategy.

Loro Piana: Their signature material is vicuña; a wild camelid that roams the southern Andes. It produces the finest, rarest, and most expensive wool on earth.

Each animal can only be shorn every two years. A single sweater retails for around $9,000. There is no logo on it. The people buying it don't need one.

Silicon Valley's wealthiest wear Loro Piana's base layers specifically because there's nothing on them to recognise.

Zegna: started as a wool mill in the Italian Alps in 1910, founded by an 18-year-old with a single ambition — to produce the finest fabrics in the world.

Over 115 years, the family built a business that runs entirely from sheep to shop. Owning the farms in Australia, the mills in Italy, and the stores worldwide.

When competitors publish glossy reports about carbon neutrality targets for 2030, Zegna points to a forest planted in 1933.

That's the difference between a brand that performs its values and one that built them into the architecture of the business.

Then there's Brunello Cucinelli: over €1 billion in revenue last year, built from a restored medieval village in Umbria.

Cucinelli pays workers 20% above industry standard, closes at 5:30pm, and still outgrows almost every brand chasing the opposite model.

He calls it humanistic capitalism. Harvard Business School made it a case study.

When you need people to know you exist, you chase reach, recognition, awareness. That's Gucci's playbook.

When you've made it, you stop needing people to know.

[Fav ⛧ @Favwontmiss]

My favorite line from Atomic Habits has been living in my head rent-free:

“It doesn’t make sense to continue wanting something if you’re not willing to do what it takes to get it. If you don’t want to live the lifestyle, then release yourself from the desire. To crave the result but not the process is to guarantee disappointment.”

[Nav Toor @heynavtoor]

A developer in China named tw93 got tired of his laptop dying.

He would open Slack and watch 524 megabytes of disk space disappear. He would open Discord and watch another 265. He would open Notion and watch 800 megabytes of RAM evaporate before he had typed a single word.

He looked into why.

Every "desktop app" on his computer was the same thing. A website wrapped in a full copy of the Chrome browser engine. The framework is called Electron. An empty Electron app starts at 150 megabytes of RAM before you click anything. With twelve of them open, his laptop was running twelve copies of the same browser.

He thought there had to be a better way.

So in 2022, he started building one.

He called it Pake. Two characters in Chinese mean "packaging." He wrote it in Rust on top of a framework called Tauri. The idea was simple. Point Pake at any webpage. Get a desktop app. Without dragging an entire browser engine into the binary.

The first version of Slack he wrapped with it was 8 megabytes.

Not 524. Eight.

That is what 20 times smaller looks like.

Four years later, his repo has 50,594 stars. 6,144 forks. The license is MIT. The last commit was yesterday.

The bio on his GitHub reads: "Anything added dilutes everything else."

Today the Pake releases page contains pre-built apps for ChatGPT, Discord, Gemini, Grok, DeepSeek, Twitter, YouTube, Excalidraw, Flomo, WeChat, and twelve more. All under 10 megabytes. All native. All free.

Or you point Pake at any URL you want and it builds one for you in one command.

Slack's desktop app: 524 megabytes.
Pake-built Slack: 8 megabytes.

Discord's desktop app: 265 megabytes.
Pake-built Discord: 9 megabytes.

ChatGPT for Windows: 260 megabytes.
Pake-built ChatGPT: 9 megabytes.

tw93 is one person. He has 11,305 followers on GitHub. He runs a blog at https://t.co/WZoyHop8Id. He has shipped 39 public repos. He still pushes commits to Pake every week.

He did not start a company. He did not raise money. He did not write a Medium post about how Electron is dead.

He just shipped the thing that made it true.

(Link in the comments)

[Paul Graham @paulg]

You are far more dangerous to your startup than competitors are. A hundred times more startups die from poor execution by their founders than are killed by competitors.

[LaughBreak: Dad Jokes ‘N More @MediocreJoker85]

An old man is selling watermelons by the side of the road.

His sign reads:

1 for $3
3 for $10

A young man stops and buys one watermelon.

“That’ll be $3,” says the old man.

The young man then buys a second watermelon. And then a third.

After paying another $3 each time, the young man picks up his watermelons and starts to walk away.

Then he turns back, grinning proudly.

“Hey old man,” he says, “you realize I just bought three watermelons for $9 instead of $10? Maybe business isn’t your thing.”

The old man smiles and shakes his head.

“Funny… every time somebody comes by, they buy three watermelons instead of one… and then try to teach me business.”

[maro @ProofofMaro]

A woman expresses love through service.

[Kirill @kirillk_web3]

instead of watching 2 hours of Netflix tonight, watch this 40-minute masterclass from the founder of a $20B China AI company

it's the clearest explanation I've seen of how Agent Swarms and AI systems actually work at scale

useful whether you've never built an agent in your life or have been using Claude every day for the past year

I took the key ideas and turned them into a practical guide on how to actually build with Kimi

find it below

[Steven Tey @steventey]

Chatbase's journey to $10M ARR has been nothing short of remarkable:

> solo founder, no investors
> launched "PDF chatbot" MVP in 2023, goes viral
> space became saturated, pivoted to AI support platform
> ARR grew from $768K → $5M in <2 years
> double down on SEO + content marketing + partnerships
> migrated affiliate program to @dubdotco to keep scaling + launched Experts program
> doubled ARR to $10M in ~15 months

Honored to support @chatbase's growth with Dub: https://t.co/LCcAmVBIQI

[The Shift Journal @TheShiftJournal]

Just do things…

[Shashank Kumar @shashank_kr]

We recently built an AI assistant inside @Razorpay called Slash.
It reads our entire codebase, debugs production incidents, reviews specs, writes code, reviews every single PR, answer tech queries and also raises PRs for small features.

It's easily accessible through Slack. We can tag it in any Slack thread, describe the problem in English, and it gets to work.

Six weeks ago, Slash handled 122 tasks in its first week. Last week it handled 14000+. Queries, analysis, bug fixes, PR reviews, test runs and work that earlier lived across scattered tools and teams can now be done with Slash right within Slack. 1000+ people used it in a single week because it got their work done faster. The whole adoption has been completely organic.

The numbers from last week have been very encouraging - 14,854 tasks completed. 2,150 PRs raised, 1,152 merged, 45% of those PRs shipped with zero human rework.

A payout gets stuck mid-retry during a live incident, an engineer tags Slash and within seconds, it cross-references logs with code and pinpoints a state machine bug blocking the retry-to-failed state transition. Tells the team exactly which logs to check and how to resolve the incident.

With its K8s analyzer skill, Slash scanned a single namespace, right-sized all 11 workers using 48-hour P95 pod metrics, and raised the PR. One run saved $560/month.

A marketing banner bug was fixed with few prompt iterations with a PR raised, merged to prod and deployed in minutes. No front-end developer touched the code.

Security teams ran static security testing and remediation through Slash at org scale. Thousands of findings were purged and many more got validated autonomously.

But Slash isn't just an engineering tool.

Account managers now trace stuck customer payments and integration failures through Slash instead of pinging engineers on Slack. L2 product support tickets get triaged by Slash before they reach engineering.

250+ non-engineers ran thousands of sessions last week. PMs used it for research on our payments infra, customer interviews and product features sometimes raising PRs of their own. Analytics teams built SQL pipelines. 11% of all sessions came from people outside tech and product.

On our company bakkar (watercooler) Slack thread, someone asked Slash jokingly to assign tasks to everyone and it responded in the same tone. It seamlessly started participating in inside jokes and conversations.

The quality compounds with use. Engineers who shipped 11+ Slash PRs averaged a 63% merge rate without rework. First-timers averaged 37%. Across the org, human review comments per PR have dropped more than 40% with Slash starting to do in-depth review of every single change.

We're still early. Large cross-repo refactors, fully agentic sdlc and plan mode are next. But Slash has already changed how people at Razorpay build, debug, and ship every day.

[Hari Bukke Prasad @haribukke]

@awkwardgoogle @elonmusk

[Mr. Buzzoni @polydao]

Atlassian's revenue: $1.79 billion last quarter
Atlassian's move: fire the engineer who built their infrastructure

his move: post a 38-minute breakdown of every system he built, free for anyone to copy

what he revealed:

> Envoy proxy instead of enterprise load balancers
> sidecar architecture for auth, logging, rate limits
> DynamoDB + SQS for async provisioning
> Packer + SaltStack for automated VM deployments at scale

Atlassian charges per employee across 350,000 customers

this guy just handed you the enterprise playbook for free

save this