Join us

ContentUpdates and recent posts about SERP Clapper for Medium..
Link
@faun shared a link, 3 weeks, 1 day ago

Users Only Care About 20% of Your Application

Modern apps burst with features most people never touch. Users stick to their favorite 20%. The rest? Frustration, bloat, ignored edge cases. Tools like **VS Code**, **Slack**, and **Notion** nail it by staying lean at the core and letting users stack what they need. Extensions, plug-ins, integrati..

Link
@faun shared a link, 3 weeks, 1 day ago

Authentication Explained: When to Use Basic, Bearer, OAuth2, JWT & SSO

Modern apps don’t just check passwords—they rely on **API tokens**, **OAuth**, and **Single Sign-On (SSO)** to know who’s knocking before they open the door...

Link
@faun shared a link, 3 weeks, 1 day ago

Uncommon Uses of Common Python Standard Library Functions

A fresh guide gives old Python friends a second look—turns out, tools like **itertools.groupby**, **zip**, **bisect**, and **heapq** aren’t just standard; they’re slick solutions to real problems. Think run-length encoding, matrix transposes, or fast, sorted inserts without bringing in another depen..

Link
@faun shared a link, 3 weeks, 1 day ago

Building a Resilient Data Platform with Write-Ahead Log at Netflix

Netflix faced challenges like data loss, system entropy, updates across partitions, and reliable retries. To address these, they built a generic Write-Ahead Log (WAL) system serving a variety of use cases like delayed queues, generic cross-region replication, and multi-partition mutations. WAL abstr..

Link
@faun shared a link, 3 weeks, 1 day ago

Writing Load Balancer From Scratch In 250 Line of Code

A developer rolled out a fully working **Go load balancer** with a clean **Round Robin** setup—and hooks for dropping in smarter strategies like **Least Connection** or **IP Hash**. Backend servers live in a custom server pool. Swapping balancing logic? Just plug into the interface...

Writing Load Balancer From Scratch In 250 Line of Code
Link
@faun shared a link, 3 weeks, 1 day ago

The productivity paradox of AI coding assistants

A July 2025 METR trial dropped a twist: seasoned devs using Cursor with Claude 3.5/3.7 moved **19% slower** - while thinking they were **20% faster**. Chalk it up to AI-induced confidence inflation. Faros AI tracked over **10,000 developers**. More AI didn’t mean more done. It meant more juggling, ..

The productivity paradox of AI coding assistants
Link
@faun shared a link, 3 weeks, 1 day ago

Jupyter Agents: training LLMs to reason with notebooks

Hugging Face dropped an open pipeline and dataset for training small models—think **Qwen3-4B**—into sharp **Jupyter-native data science agents**. They pulled curated Kaggle notebooks, whipped up synthetic QA pairs, added lightweight **scaffolding**, and went full fine-tune. Net result? A **36% jump ..

Jupyter Agents: training LLMs to reason with notebooks
Link
@faun shared a link, 3 weeks, 1 day ago

Building a Natural Language Interface for Apache Pinot with LLM Agents

MiQ plugged **Google’s Agent Development Kit** into their stack to spin up **LLM agents** that turn plain English into clean, validated SQL. These agents speak directly to **Apache Pinot**, firing off real-time queries without the usual parsing pain. Behind the scenes, it’s a slick handoff: NL2SQL ..

Building a Natural Language Interface for Apache Pinot with LLM Agents
Link
@faun shared a link, 3 weeks, 1 day ago

Implementing Vector Search from Scratch: A Step-by-Step Tutorial

Search is a fundamental problem in computing, and vector search aims to match meanings rather than exact words. By converting queries and documents into numerical vectors and calculating similarity, vector search retrieves contextually relevant results. In this tutorial, a vector search system is bu..

Link
@faun shared a link, 3 weeks, 1 day ago

5 Free AI Courses from Hugging Face

Hugging Face just rolled out a sharp set of free AI courses. Real topics, real tools—think **AI agents, LLMs, diffusion models, deep RL**, and more. It’s hands-on from the jump, packed with frameworks like LangGraph, Diffusers, and Stable Baselines3. You don’t just read about models—you build ‘em i..

Did you know you can clap for someone’s content up to 50 times on Medium?

Well, you can.

And to protect you from carpal tunnel syndrome, I packaged that behavior into a little extension for Chrome.

It works like this:

https://www.youtube.com/watch?v=oN3soEz-5Z4

Open up your developer tools (right-click & choose inspect)

Then, navigate to the “console”:

And if you have a bunch of caca (that’s Spanish for đŸ’©) in your Console you can click the little đŸš« icon to clear it:

Then:

copy the JavaScript code below
paste it into the Console area
press the Return key

and spread the clap!

(Scroll up to the top of this article before you press enter if you want to see it in action)

let clapButton = document.querySelector('button[data-testid="headerClapButton"]');
if (clapButton) {
const events = ['mousedown', 'mouseup', 'click'];

async function performClap() {
for (let i = 0; i < 50; i++) {
events.forEach(eventType => {
let event = new MouseEvent(eventType, {
'view': window,
'bubbles': true,
'cancelable': true
});
clapButton.dispatchEvent(event);
});
await new Promise(resolve => setTimeout(resolve, 10)); // Introducing a 10ms delay between claps
}
console.log("+50 Claps! Now, go join the SERP community!");
}

performClap();
} else {
console.log("Clap button not found!");
}

Want the extension?

I submitted the extension to the Chrome app store and it’s pending approval as of this writing


But if you’re too excited to sit around when you could be clappin’ it up — you’re welcome to grab the bootleg here:

👉 https://serp.ly/@serp/serp-clapper-medium