2025-12-13 05:59:57
You’ve seen it happen. A product suddenly goes viral on TikTok and sells out everywhere. It was not a celebrity endorsement or a big-budget Super Bowl ad. It was just a regular person talking about something they genuinely loved. This is the new reality for many fast-growing community commerce brands.
\ Traditional advertising is losing its grip on consumers. We are tired of being sold to and have become experts at tuning out polished ads. What we do listen to, though, is each other. In this ultimate guide, you will learn the strategies that top community commerce brands use to build loyal followings that drive real growth.
Let’s break this down. You know about ecommerce, which is just selling things online. You have also probably heard of social commerce, which uses platforms like Instagram to sell products. So what makes community commerce different?
\ Think of it as word-of-mouth marketing supercharged by the internet. It happens at the crossroads of community, shopping, and entertainment. TikTok describes it as “creator-driven word-of-mouth marketing,” and that is a pretty good starting point. The important word here is creator, and a creator can be anyone from a micro-influencer to a passionate brand user.
\ It is not just about paying a massive influencer. It is about a group of people with a shared interest talking about products they use and trust. Their genuine product recommendations feel less like an ad and more like a helpful tip from a friend, which is why it works so well. This process helps brands build authentic relationships with their audience, fostering trust that paid ads often struggle to achieve.
You might be thinking this all sounds good, but you need real numbers. The data shows that putting community at the center of your sales strategy is not just a feel-good idea. It directly impacts your bottom line and builds a more resilient brand.
\ Consider this: a Nielsen study found that 88% of people trust recommendations from people they know above all other forms of advertising. That is a huge number you cannot overlook. When a recommendation comes from within a consumer community, it feels personal and trustworthy.
\ This approach also changes how product discovery happens. A study from GlobalWebIndex revealed that 70% of consumers on social media buy things even when they were not looking for anything specific. They see compelling content, someone they follow recommends it, and they make a purchase right then and there. It is a powerful way for brands to drive customer acquisition.
\ Beyond getting new customers, a strong community helps you keep them. These relationships build emotional brand loyalty and brand love. People stick around not just for the product, but for the connection and sense of belonging your brand helps create. This transforms a simple transaction into a lasting bond.
So, how do you actually put this into practice? It is not about just throwing up a Facebook group and hoping for the best. Successful brands are intentional with their efforts to build a brand community. They use a mix of clever tactics to get people talking and buying.
\ You do not need a massive budget to start. Some of the most effective strategies are built on creativity and a real understanding of what your audience cares about. Let’s look at a few powerful approaches that you can start thinking about for your own business.
Memes are the internet’s inside jokes. When your brand participates in one correctly, it feels like you are part of the club. They are a powerful way to show that your brand has a personality and isn't afraid to have some fun.
\ But there is a right way and a wrong way to do it. You cannot just jump on every trend you see. It has to make sense for your brand and feel authentic; otherwise, people will see right through it. Your audience is smart and can spot a forced marketing attempt from a mile away.
\ Take Adidas, for example. During the “Everything is Cake” meme craze, they did not just post a funny picture. They actually created a limited-edition edible cake that looked exactly like one of their popular sneakers. This move was brilliant because it was timely, relevant to their product, and incredibly shareable. It generated a ton of conversation without feeling like a pushy ad.
Have you ever seen a product in a video and wanted to buy it immediately? That impulse is a core part of community commerce. When a potential customer is inspired, you have a very short window to turn that interest into a sale. You have to make it as easy as possible for them to make a brand buy.
\ This is where shoppable content comes in. When you make content shoppable, you connect inspiration directly to transactions, reducing friction for consumers. Shoppable videos or live streams are incredibly effective at driving sales because they bridge the gap that often exists between telling a great story about your product and actually getting someone to click the buy button.
\ The numbers back this up. Research from McKinsey shows that conversion rates for live stream shopping can be up to 10 times higher than for standard digital commerce. Media platforms like the TikTok Shop have also made it easier for businesses by integrating with ecommerce tools like Shopify, allowing brands to create shoppable posts directly from user-generated videos.
Using platforms like TikTok and Instagram is a great way to achieve massive reach. But building your community entirely on someone else’s platform is risky. You are subject to their algorithm changes and rules, which can change without warning.
\ That is why smart brands are creating their own owned community channels. Think of it as building your own digital home where your most passionate fans can gather. It gives you a direct line of communication with your best customers and lets you control the customer experience completely.
\ An owned community can become a powerful engine for your business. For instance, Hero Cosmetics, the beauty brand behind the popular Mighty Patch acne product, created the Hero Skin Squad community. It is a place for loyal brand users to share tips and product recommendations. They used the community to get over 400 product reviews in just the first 100 days. That is social proof you just cannot buy.
Building a thriving community commerce strategy does not happen overnight. It requires a thoughtful approach focused on providing value and fostering genuine connection. Here are the fundamental steps to get your community commerce started on a platform like TYB.
\
This is not just a fleeting trend. The shift towards community-driven sales is changing how businesses connect with customers. For startup founders and marketing leaders, it represents a massive opportunity to compete with larger, more established companies.
\ You might not have their ad budget, but you can build something far more valuable: a real relationship with your customers. A community that feels heard and valued will do your brand marketing for you. They become your most effective brand advocates, spreading the word with an authenticity that no ad campaign can replicate.
\ It is a move from transactional selling to relational marketing. People are looking for more than just products; they want to feel seen. They want to connect with brands that share their values and make them feel like part of something bigger. That is the real power behind community commerce.
Community commerce has proven itself to be a powerful strategy for modern businesses. It taps into the most trusted form of marketing there is: genuine recommendations from real people. This shift fundamentally changes how consumers share and engage with the brands they love.
\ By creating spaces for community connections, making your video content shoppable, and empowering your fans, you can build a business that grows organically. Building authentic relationships is no longer just a nice-to-have; it is a business imperative. The most successful community commerce brands understand that when you put people first, the profits will follow.
2025-12-13 00:01:50
How are you, hacker?
🪐 What’s happening in tech today, December 12, 2025?
The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, Kenya Declared independence from Britain in 1963, The First Radio Transmission Was Sent Across the Atlantic in 1901, Da Vinci's Notebook Sold for $5 Million in 1980, and we present you with these top quality stories. From How a Demo Page for my Abandoned Open Source SDK Accidentally Found Product Market Fit to Before Bitcoin: The Forgotten P2P Dreams that Sparked Crypto , let’s dive right in.
By @obyte [ 5 Min read ] Before crypto, pioneers dreamed of decentralized money and fair sharing. Their wild ideas shaped today’s digital freedom. Go explore how it all began! Read More.
By @sb2702 [ 10 Min read ] How a free browser based video upscaling tool I built as a demo for an open source project accidentally found product market fit, growing to 70k MAU. Read More.
By @Rust [ 5 Min read ] In this post well discuss the introduction of the new targets, the motivation behind it, and what that means for the existing WASI targets. Read More.
By @mashrulhaque [ 24 Min read ] A seasoned .NET architect compares Blazor and React, from npm security risks to .NET 10 performance, and explains when each framework makes sense. Read More.
🧑💻 What happened in your world this week?
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We hope you enjoy this worth of free reading material. Feel free to forward this email to a nerdy friend who'll love you for it.See you on Planet Internet! With love, The HackerNoon Team ✌️
2025-12-12 21:12:48
I spent my Tuesday morning watching a loading bar. It was npm install. It was fetching four hundred megabytes of dependencies to render a dashboard that displays three numbers.
We have normalized madness.
We have built a house of cards so elaborate that we forgot what the ground looks like. We convinced ourselves that to put text on a screen, we need a build step, a hydration strategy, a virtual DOM, and a transpiler. We did this because it made life easier for the humans typing the code.
But the humans aren't typing the code anymore.
I deleted the node_modules folder. I deleted the package.json. I replaced the entire frontend stack with a Rust binary and a system prompt. The result is faster, cheaper to run, and impossible to break with a client-side error.
The industry is clinging to tools designed for a constraint that no longer exists.
The orthodoxy of the last decade was simple. JavaScript is the universal runtime. The browser is a hostile environment. Therefore, we need heavy abstractions (React, Vue, Angular) to manage the complexity.
We accepted the trade-offs. We accepted massive bundle sizes. We accepted "hydration mismatches." We accepted the fragility of the dependency chain. We did this for "Developer Experience" (DX).
DX is about how fast a human can reason about and modify code. But when an AI writes the code, DX becomes irrelevant. The AI does not care about component modularity. It does not care about Hot Module Reloading. It does not need Prettier.
The AI cares about two things:
React fails hard on the first count.
Let's look at the math. I ran a test comparing the token cost of generating a simple interactive card in React versus raw HTML/CSS.
The React Paradigm:
To generate a valid React component, the LLM must output:
useState, useEffect)This is roughly 400-600 tokens for a simple component. It burns context. It confuses the model with state management logic that often hallucinates subtle bugs.
The Raw Paradigm:
To generate the same visual result in HTML:
div stringThis is 50-100 tokens.
When you are paying for inference by the million tokens, strict frameworks are a tax on your bottom line. They are also a tax on latency. Generating 600 tokens takes six times longer than generating 100.
In the world of AI-generated software, verbosity is not just annoying. It is expensive.
We are seeing a bifurcation in the stack. The middle ground—the interpreted, "easy for humans" layer of Node.js and client-side JavaScript—is collapsing.
The new architecture looks like this:
I call this the "Rust Runtime" pattern. Here is how I implemented it in production.
I built a system where the UI is ephemeral. It is generated on the fly based on user intent.
Step 1: The Rust Server
We use Axum for the web server. It is blazingly fast and type-safe.
// main.rs
use axum::{
response::Html,
routing::get,
Router,
};
#[tokio::main]
async fn main() {
// No webpack. No build step. Just a binary.
let app = Router::new().route("/", get(handler));
let listener = tokio::net::TcpListener::bind("0.0.0.0:3000").await.unwrap();
println!("Listening on port 3000...");
axum::serve(listener, app).await.unwrap();
}
async fn handler() -> Html<String> {
// In a real scenario, this string comes from the AI Agent
// We don't need a Virtual DOM. We need the actual DOM.
let ai_generated_content = retrieve_from_agent().await;
// Safety: In production, we sanitize this.
// But notice the lack of hydration logic.
Html(ai_generated_content)
}
// Pseudo-code for the agent interaction
async fn retrieve_from_agent() -> String {
// This connects to our Python control plane
// The prompt is: "Generate a dashboard for sales data..."
// The output is pure, semantic HTML.
return "<div><h1>Sales: $40k</h1>...</div>".to_string();
}
rust
Step 2: The Logic (Python Agent)
The Python side doesn't try to write logic. It writes representation.
# agent.py
# The prompt is critical here. We explicitly forbid script tags to prevent XSS.
# We ask for "pure semantic HTML with Tailwind classes."
SYSTEM_PROMPT = """
You are a UI generator.
Output ONLY valid HTML fragment.
Do not wrap in markdown blocks.
Use Tailwind CSS for styling.
NO JavaScript. NO script tags.
"""
def generate_ui(user_data):
# This is where the magic happens.
# We inject data into the prompt, effectively using the LLM as a template engine.
response = client.chat.completions.create(
model="gpt-4-turbo",
messages=[
{"role": "system", "content": SYSTEM_PROMPT},
{"role": "user", "content": f"Visualise this data: {user_data}"}
]
)
return response.choices[0].message.content
python
Look at what is missing.
There is no state management library. The state lives in the database. When the state changes, we regenerate the HTML.
"But that's slow!" you say.
Is it?
I benchmarked this. A standard React "dashboard" initial load involves:
Total Time to First Meaningful Paint: ~440ms (optimistic).
The Rust + AI approach:
Total Time to First Meaningful Paint: ~20ms.
Even if we hit the LLM live (streaming), the user sees the header immediately. The content streams in token by token. It feels faster than a spinner.
The browser is incredibly good at rendering HTML. It is bad at executing megabytes of JavaScript to figure out what HTML to render. We removed the bottleneck.
I am not suggesting this is without peril. When you let an AI write your UI, you are trusting a probabilistic model with your presentation layer.
I learned this the hard way last month.
I deployed an agent to build a "recursive file explorer." The prompt was slightly loose. It didn't specify a maximum depth for the folder structure visualization.
The model got into a loop. It didn't hallucinate facts; it hallucinated structure. It generated a div nested inside a div nested inside a div… for about four thousand iterations before hitting the token limit.
The Rust server happily served this 8MB HTML string.
Chrome did not happily render it. The tab crashed instantly.
The Lesson: In the old world, we debugged logic errors. "Why is this variable undefined?" In the new world, we debug structural hallucinations. "Why did the model decide to nest 4,000 divs?"
We solved this by implementing a structural linter in Rust. Before serving the HTML, we parse it (using a crate like scraper or lol_html) to verify depth and tag whitelists.
// Rust acting as the guardrail
fn validate_html(html: &str) -> bool {
let fragment = Html::parse_fragment(html);
// Check for excessive nesting
if fragment.tree_depth() > 20 {
return false;
}
// Check for banned tags (scripts, iframes)
if contains_banned_tags(&fragment) {
return false;
}
true
}
rust
This is the new job. You are not a component builder. You are a compliance officer for an idiot savant.
This shift is terrifying for a specific type of developer.
If your primary value proposition is knowing the nuances of useEffect dependencies, or how to configure Webpack, you are in trouble. That knowledge is "intermediate framework" knowledge. It bridges the gap between human intent and browser execution.
That bridge is being demolished.
However, if your value comes from Systems Thinking, you are about to become 10x more valuable.
The complexity hasn't disappeared. It has moved. It moved from the client-side bundle to the orchestration layer. We need engineers who understand:
We are returning to the fundamentals. Computer Science over "Framework Science."
I looked at a create-react-app dependency tree recently. It felt like archaeology. Layers of sediment from 2016, 2018, 2021. Babel plugins. PostCSS configs.
None of it matters to the machine.
The machine generates valid CSS. It generates valid HTML. It doesn't make syntax errors, so it doesn't need a linter. It formats perfectly, so it doesn't need Prettier.
We built an entire economy of tools to manage human imperfection. When you remove the human from the tight loop, the tools become artifacts.
I have stopped hiring "React Developers." I hire engineers who know Rust, Python, or Go. I hire people who understand HTTP. I hire people who can prompt a model to output a specific SVG structure.
The "Component Creator" role is dead. The "System Architect" role is just getting started.
:::tip Read the complete technical breakdown →
:::
Edward Burton ships production AI systems and writes about the stuff that actually works. Skeptic of hype. Builder of things.
Production > Demos. Always.
\n
\
2025-12-12 20:18:38
\
As prediction markets gain momentum in the crypto space, platforms are racing to build infrastructure that combines regulatory compliance with genuine user engagement.
\ Travis McGhee's promotion to Global Head of Predictions at Crypto.com signals the company's strategic approach on this emerging market.
\ With over 150 million users and extensive experience in regulatory compliance, Crypto.com is positioning prediction markets as a tool for democratized information aggregation rather than pure speculation.
\ In this interview, we explore how centralized platforms are reshaping prediction markets, the technical challenges of building regulated forecasting infrastructure, and whether mainstream adoption will come from crypto-native innovation or institutional-grade compliance.
\n
Ishan Pandey: Hi Travis, congratulations on your promotion to Global Head of Predictions at Crypto.com. Can you walk us through what this role entails and what drew you to prediction markets specifically?
\ Travis McGhee: As Global Head of Predictions at Crypto.com, I lead Crypto.com’s event contracts and prediction markets offering and our plans to continue to expand through new partnerships and into additional jurisdictions. We’ve seen a significant opportunity emerge in this space and since we launched our first initial sports event contracts in 2024. This is a unique space where I can leverage my expertise in responsible innovation and regulation, similar to my prior leadership role at Crypto.com as we expanded our offering to include stocks and ETF trading.
\ Ishan Pandey: Prediction markets have existed for decades, yet they've never quite reached mainstream adoption. What makes this moment different, and why is Crypto.com betting on this vertical now?
\ Travis McGhee: Prediction markets have risen in popularity dramatically for a number of reasons, one of which being that people and consumers are inherently pursuing truth. Today, prediction markets can be more accurate than traditional polling and they have proven that on multiple instances. Additionally, prediction markets have distinct characteristics, such as the incentive for participation and more diverse input sets, that enable them to predict events with more accuracy and in turn are a huge engagement attraction.
\ Ishan Pandey: You've been with Crypto.com since the early days of building out the Predictions product. What were the biggest technical and regulatory challenges you faced in launching this offering, especially given the regulatory scrutiny around anything resembling gambling?
\ Travis McGhee: From a product perspective, we want our event contracts offering to be naturally part of the Crypto.com App experience; a seamless component to a comprehensive financial markets tool. We work at this every day - starting at the planning phase and continuing through the ongoing lifecycle of the product. From a regulatory perspective, we’re committed to responsible innovation. That means we only bring a product or service to market that is in line with market regulations and supported by industry-leading safety and security protocols.
\ Ishan Pandey: Decentralized prediction markets like Polymarket have gained significant traction by operating outside traditional regulatory frameworks. How does Crypto.com's approach differ, and what advantages does operating within a regulated environment provide to users?
\ Travis McGhee: The last few years in the crypto industry have been tremendously exciting with the continued adoption of digital assets. We see so much opportunity in the technological advancements fueling the acceleration of cryptocurrencies and blockchain. For us, we look at areas that we can disrupt and improve to accelerate digital economic growth.
\ We are leaning in on a number of frontiers, one of which is prediction markets. And central to everything we do at Crypto.com is security and compliance. We do not offer a product and service unless it is battle tested and in line with market regulations and requirements. This is what has helped make our platform broadly recognized as one of the most trusted providers of prediction market services.
\ Ishan Pandey: Critics argue that prediction markets on centralized platforms can suffer from liquidity fragmentation and potential conflicts of interest. How does Crypto.com address concerns about market manipulation and ensure fair price discovery?
\ Travis McGhee: We use state of the art market surveillance technology and have industry standard connectivity and security requirements, so we are able to detect and prevent risks or manipulation to our markets. Our rulebook is over 300 pages and we conduct market surveillance in real-time and are able to investigate inappropriate behavior and even fine or expel customers who violate our rules. Congress and the CFTC have empowered us to be a self-regulatory organization and we take that duty seriously.
\n
Ishan Pandey: Beyond entertainment and speculation, prediction markets are often touted as "truth-seeking mechanisms" that aggregate collective intelligence. Do you see Crypto.com's platform evolving toward more sophisticated use cases like corporate forecasting, risk management, or even policy decisions?
\ Travis McGhee: We currently offer event contracts across sports and a broad range of events, covering financials like price of commodities, elections, cultural events like award show winners, and economics like interest or inflation rates. We are eager to further expand this portfolio, within the guidelines of market regulations.
\ Ishan Pandey: The prediction market space is getting crowded from DeFi protocols to traditional exchanges adding similar features. What's Crypto.com's competitive moat, and how do you plan to differentiate in an increasingly saturated market?
\ Travis McGhee: We are building Crypto.com to be the one-stop shop for all of a consumer’s financial interests. We want to provide customers a one-app experience, enabling them to educate themselves on products that have proper disclosures on potential profits and losses and to act on any opportunity, however it may present itself, that financial markets present.
\ Ishan Pandey: Looking ahead, what's your vision for prediction markets in the next 3-5 years, and where do you see Crypto.com positioned in that landscape?
\ Travis McGhee: We see significant opportunity for the growth of prediction markets and event contracts in the U.S. and beyond. Prediction markets and event contracts now have a foothold in mainstream digital engagement and we expect to see these engagements create greater connection to even more real-world events and experiences through a trillion dollar industry.
\ Don’t forget to like and share the story!
:::tip This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYO
:::
\n \n
\
2025-12-12 15:11:01
How are you, hacker?
🪐Want to know what's trending right now?:
The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here.
## The Architecture of Collaboration: A Practical Framework for Human-AI Interaction 
By @theakashjindal [ 7 Min read ]
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By @huizhudev [ 5 Min read ]
Turn your LLM into a ruthlessly efficient root cause analyst that catches what you miss. Read More.
🧑💻 What happened in your world this week? It's been said that writing can help consolidate technical knowledge, establish credibility, and contribute to emerging community standards. Feeling stuck? We got you covered ⬇️⬇️⬇️
ANSWER THESE GREATEST INTERVIEW QUESTIONS OF ALL TIME
We hope you enjoy this worth of free reading material. Feel free to forward this email to a nerdy friend who'll love you for it.
See you on Planet Internet! With love,
The HackerNoon Team ✌️
.gif)
2025-12-12 14:01:28
Since 2018, Beldex has evolved into a major privacy network with a growing ecosystem of decentralized, privacy-preserving dApps. From private messaging to anonymous browsing, Beldex ensures confidentiality across every user interaction. As the network expands, managing blockchain size becomes challenging, especially because private transactions carry more cryptographic data.
To address this challenge, Beldex introduced the Obscura hardfork, which went live on December 7, 2025, at block height 4939540. While the upgrade includes multiple refinements, its core improvement is the integration of Bulletproofs++, a more compact and efficient range-proof system designed to keep the chain lightweight and scalable.
\
Obscura is a major technical upgrade focused on improving proof efficiency and transaction scalability. Its primary objective is to ensure that Beldex can maintain transactional privacy without increasing block load or compromising node performance.
The introduction of Bulletproofs++ is the core objective of this hardfork, enabling Beldex to significantly reduce transaction sizes while enhancing verification speed and long-term sustainability.
\
Bulletproofs are non-interactive zero-knowledge range proofs. They allow Beldex masternodes to verify that transaction amounts are valid positive and within a defined range, without revealing the actual amounts.
As the number of outputs increases, the proof size grows very slowly. This makes Bulletproofs ideal for privacy-focused blockchains where transaction amounts remain hidden and efficient scaling is essential.
\
Bulletproofs++ are an evolution of standard Bulletproofs. They retain the same cryptographic guarantees but produce significantly smaller proofs.
A typical Bulletproof output previously required 600–700 bytes.
Bulletproofs++ reduce this by 30–40%, with an average reduction of around 38%.
\ This improvement directly impacts network efficiency:
More transactions fit within each block
Proof generation and validation become faster
Nodes require less storage and processing power
The chain grows more slowly, supporting long-term sustainability
\
Private transactions inherently carry more data due to the cryptographic components required to preserve anonymity. As usage increases, these components become one of the biggest contributors to chain weight and storage pressure.
Beldex uses a fixed block size ranging between 300 kB and 600 kB, depending on dynamic conditions. Inefficient proofs can quickly consume available block capacity, limiting throughput and increasing verification time.
Bulletproofs++ solve this structural limitation:
https://x.com/BeldexCoin/status/1997992439156515183?embedable=true
Obscura is more than an optimization, it’s a critical step toward sustainability and scalability for privacy-preserving blockchains. The integration of Bulletproofs++ strengthens Beldex in several key ways:
The Obscura hardfork marks a pivotal moment in Beldex’s technical evolution. By integrating Bulletproofs++, Beldex significantly reduces proof sizes, improves verification efficiency, and strengthens its foundation for long-term scalability.
This upgrade ensures that the network remains fast, private, and sustainable, even as adoption increases. With Obscura, Beldex reinforces its commitment to delivering high-performance privacy while future-proofing its infrastructure for the next generation of decentralized applications.
\
