MoreRSS

site iconHackerNoonModify

We are an open and international community of 45,000+ contributing writers publishing stories and expertise for 4+ million curious and insightful monthly readers.
Please copy the RSS to your reader, or quickly subscribe to:

Inoreader Feedly Follow Feedbin Local Reader

Rss preview of Blog of HackerNoon

如何通过Path Social将Instagram增长转化为品牌合作

2026-01-23 18:31:32

Building a loyal Instagram audience used to feel like a full-time job. Between content creation, editing, engagement, and managing collaborations, growth always came last on my to-do list. But like many creators, I hit a wall. My content was getting better, but my audience wasn’t growing at the same pace.

That’s when I decided to try https://www.pathsocial.com/ and see if it could help.

After months of experimenting with different strategies and platforms, I decided to try AI Instagram growth for 90 days. I approached it like a campaign, not a shortcut. This is what I learned—and how I went from stuck to scaling.

\

My Starting Point: Quality Content, Flat Growth

Before discovering Path Social, I had 3,200 followers. I was averaging around a 2.1% engagement rate, but reaching new audiences was hit or miss. My Reels were performing well, but my posts rarely showed up on explore. My niche - wellness and mindful living - was a growing trend, but there were so many other creators targeting the same eyeballs.

And my most significant problem? Discovery.

No matter what I did: hashtags, shares, giveaways - I could not figure out how to get consistent access to the right audience.

\

Why I Chose Path Social

Initially, I was skeptical. I had witnessed the harm bots can do to accounts: ghost followers, shadowbans, and inauthentic engagement in general. What intrigued me about Path Social was their hybrid model of AI-based audience targeting + real humans involved in the process.

They were not convincing people to engage with bots or mass follow. They were providing targeted discovery of followers.

\

Setting Up My Campaign

After signing up, I completed a thorough onboarding form. I answered a lot of questions about my niche, important hashtags, competitor accounts, and even a few brands that I wanted to partner with. This gave Path Social some context for more precise targeting.

I also made sure my content library was optimized:

  • Updated my bio with a clear CTA
  • Pinned 3 strong Reels
  • Highlighted recent brand collabs in Stories

Then I waited.

\

The First Two Weeks

The first sign that something was working? My story views nearly doubled.

From there, engagement followed. In week one, I gained 230 new followers. Week two brought in another 300. But what stood out most wasn’t the number—it was the relevance.

People DM’d me about posts I’d published weeks earlier. Comments were longer, more thoughtful. It was clear: this was the right kind of audience.

\

Analytics Snapshot (90 Days)

  • Followers: +3,480

  • Engagement rate: 2.1% → 3.4%

  • Shares: +61%

  • Saves: +42%

  • Brand DMs: 5 new pitch inquiries

  • Story Replies: +98%

    My reach finally matched my content quality.

\

What Made the Difference

The Path Social team didn’t just run traffic—they curated it. That was the difference. The AI system filtered potential followers by interest and behavior. The human side helped guide those choices based on feedback and performance.

It was like working with a talent scout for my audience.

\

Tips for Other Creators

1. Approach Growth as a Campaign

Don’t think “set and forget.” You want clear goals. In my case, more engagement and brand collabs.

2. Make Sure Your Profile is Conversion Friendly

When a new user lands on your page, you have just one chance. Make checks that your bio, highlights, and best pieces of content speak to that user.

3. Let the Data Drive Content

When your new audience starts coming in, pay attention to what they are responding to. I learned that quick wellness how-to type content performed much better than aesthetic posts. This is what informed my calendar for the future with content.

4. Consistency is Key

Without content, growth is just wasted traffic. During my campaign, I maintained a 3x weekly posting and daily stories.

5. Be Patient, But Curious

Not everything will spike overnight. But over time, the trend line matters more than the peaks.

\

The ROI Beyond Follower Count

What impressed me? The inbound brand interest.

Because of the increased engagement and niche clarity, two eco-friendly beauty brands reached out about partnerships. One of those collaborations turned into a long-term ambassadorship.

Followers are the entry point. Real value comes from what they do after they follow.

\

More Than Just Numbers

If you’re a creator who’s burnt out from chasing the algorithm, I can say this with full honesty: Path Social helped me reset my strategy.

It didn’t replace my effort—it focused on it.

With the right tools, consistent content, and a clear voice, growth doesn’t have to feel random. For me, Path Social wasn’t a growth hack—it was a growth partner.

I’d recommend it to any creator ready to take themselves seriously. Because the numbers matter, but the people behind them matter more.

 

:::tip This story was distributed as a release by Sanya Kapoor under HackerNoon’s Business Blogging Program.

:::

\

在构建Renovate配置代理过程中所学(作为对人工智能持谨慎怀疑态度者)

2026-01-23 17:25:09

For those who aren't aware, Mend Renovate (aka Renovate CLI aka Renovate) is an Open Source project for automating dependency updates across dozens of package managers and package ecosystems, 9 different platforms (GitHub, GitLab, Azure DevOps and more), and boasts support for tuning its behaviour to fit how you want dependency updates.

科技快讯:海隧CDC详解:外行人的指南(2026年1月23日)

2026-01-23 15:11:07

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. ## AI Doesn’t Mean the End of Work for Us By @bernard [ 4 Min read ] I believe that AI’s impact and future pathways are overstated because human nature is ignored in such statements. Read More.

Claude Code Launches Teleport Workflow: Start Anywhere, Continue Everywhere

By @proflead [ 4 Min read ] Read More.

CI/CD Is Dead. Agentic DevOps is Taking Over

By @davidiyanu [ 11 Min read ] Traditional CI/CD pipelines are buckling under scale. Agentic DevOps promises less toil—but introduces new risks teams must understand. Read More.

In a World Obsessed With AI, The Miniswap Founders Are Betting on Taste

By @stevebeyatte [ 4 Min read ] Miniswap, a Warhammer marketplace founded by Cambridge students, is betting on taste, curation, and community over AI automation. Learn how they raised $3.5M. Read More.

Why Data Quality Is Becoming a Core Developer Experience Metric

By @melissaindia [ 4 Min read ] Bad data secretly slows development. Learn why data quality APIs are becoming core DX infrastructure in API-first systems and how they accelerate teams. Read More.

How Bayesian Tail-Risk Modeling can save your Retail Business Marketing Budget

By @dharmateja [ 12 Min read ] Why average ROI fails. Learn how distributional and tail-risk modeling protects marketing campaigns from catastrophic losses using Bayesian methods. Read More.

Best HR Software For Midsize Companies in 2026

By @stevebeyatte [ 12 Min read ] Modern midsize companies need platforms that balance sophistication with agility, offering powerful features without overwhelming complexity. Read More.

Innovation And Accountability: What AstraBit’s Broker-Dealer Registration Signals for Web3 Finance

By @astrabit [ 5 Min read ] What AstraBit’s FINRA broker-dealer registration signals for Web3 finance, regulatory accountability, and how innovation and compliance can coexist. Read More.

Solo Satoshi Becomes Start9’s First US Distributor, Bringing Sovereign Computing Home

By @opensourcetheworld [ 3 Min read ] Solo Satoshi is Start9’s first US distributor, shipping the 2026 Server One from Houston so you can run open-source StartOS, apps, and Bitcoin nodes at home. Read More.

From Time Series to Causal Scenarios: A Statistical Guide to Counterfactual Forecasting

By @dharmateja [ 11 Min read ] Learn how counterfactual forecasting helps data scientists measure true revenue impact by simulating causal scenarios beyond traditional time series models. Read More.

Benchmarking 1B Vectors with Low Latency and High Throughput

By @scylladb [ 5 Min read ] ScyllaDB Vector Search reaches 1B vectors with 2ms p99 latency and 250K QPS, unifying structured data and embeddings at scale. Read More.

Playbook for Production ML: Latency Testing, Regression Validation, and Automated Deployment

By @stevebeyatte [ 4 Min read ] Even the most automated systems still need an underlying philosophy. Read More.

NeuraVision Unveils an Innovative System for Creating and Editing 8K Video Up to 60 Seconds Long

By @btcwire [ 2 Min read ] The platform is capable of producing video with realistic physics, lighting, and motion, making it suitable for marketing content. Read More.

9 RAG Architectures Every AI Developer Should Know: A Complete Guide with Examples

By @hck3remmyp3ncil [ 11 Min read ] RAG optimizes language model outputs by having them reference external knowledge bases before generating responses. Read More.

We Replaced 3 Senior Devs with AI Agents: One Year Later

By @dineshelumalai [ 7 Min read ] A Software Architect's account of replacing senior devs with AI. $238K savings became $254K in real costs. Why human judgment still matters. Read More.

How to Build a DAO from Scratch with Solidity and Foundry, Part 1: Designing the Governance Token

By @techexplorer42 [ 8 Min read ] Learn how DAOs work by building a governance token with Solidity, OpenZeppelin, and Foundry, from deployment to testing on a local blockchain. Read More.

How to Uninstall Windows 11 Updates When a Patch Breaks Your System

By @vigneshwaran [ 5 Min read ] Learn how to uninstall problematic Windows 11 updates using Settings, Control Panel, Command Prompt, PowerShell, and Microsoft tools. Read More.

680 Hours, 4 Rebuilds, and Getting Fired: How I Built Software While Working Warehouse Shifts

By @huckler [ 4 Min read ] Just about alone programming, innovational program. My story. Read More.

SeaTunnel CDC Explained: A Layman’s Guide

By @williamguo [ 7 Min read ] The core design philosophy of SeaTunnel CDC is to find the perfect balance between "Fast" (parallel snapshots) and "Stable" (data consistency). Read More.

Jamming and Unjamming Starlink: High-Stakes Tech War in The Silent Sky

By @zbruceli [ 16 Min read ] This deep dive into the physics of the jamming/unjamming Starlink is fascinating. Phased arrays, sidelobes, and the inverse square law—it's all here. 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 ✌️

Halo Security 成功通过SOC 2第二类合规认证,彰显持续卓越的安全实力

2026-01-23 14:20:28

Miami, Florida, January 22nd, 2026/CyberNewsWire/--Halo Security, a leading provider of external attack surface management and penetration testing services, today announced it has successfully achieved SOC 2 Type II compliance following an extensive multi-month audit by Insight Assurance.

This certification validates that Halo Security's security controls are not only properly designed but also operate effectively and consistently over time.

"SOC 2 Type II compliance demonstrates our unwavering commitment to protecting customer data through proven, operational security practices," said Lisa Dowling, CEO of Halo Security.

\

"Our customers trust us to help them discover and remediate vulnerabilities across their attack surface and this certification shows we apply that same rigorous security discipline to our own operations every single day.”

While SOC 2 Type I certification validates that security controls are appropriately designed at a specific point in time, Type II compliance requires continuous monitoring and verification over an extended audit period. Insight Assurance evaluated Halo Security's actual security performance throughout the audit period, examining not just policies but their real-world execution and effectiveness.

The extended audit period assessed:

  • Operational Effectiveness: How security controls performed under real-world conditions
  • Consistency: Whether practices were maintained uniformly throughout the evaluation period
  • Continuous Monitoring: How the company detected and responded to security events
  • Change Management: How security was maintained during system updates and changes
  • Incident Response: The effectiveness of security procedures when issues arise

Halo Security partnered with Genius GRC for expert guidance throughout the compliance journey and leveraged the Vanta platform to maintain continuous compliance readiness. The company also developed a custom integration between its platform and Vanta to streamline the audit process.

"We extend our sincere appreciation to Insight Assurance for their thorough evaluation and validation of our compliance efforts," added Dowling. "Their expertise and impartial assessment have been instrumental in verifying our adherence to the SOC 2 framework.”

\

“Achieving SOC 2 Type II is not just about documenting controls. It is about proving that security processes are consistently executed over time,” said Eric Shoemaker, Advisory CISO and Founder of Genius GRC. “Halo Security demonstrated strong operational maturity throughout the audit period, with security practices that are embedded into day-to-day operations rather than treated as a compliance exercise.”

This achievement reinforces Halo Security's position as a trusted partner for organizations requiring comprehensive external security assessments. The company's vulnerability scanning and discovery solutions, combined with manual penetration testing services, help thousands of organizations worldwide maintain visibility into their attack surface security posture.

About Halo Security

Halo Security is changing the way organizations manage their external attack surface. Instead of leaving organizations to figure it out alone, Halo Security pairs unprecedented visibility into internet-facing assets with expert remediation guidance.

The company's EASM platform is the next generation of vulnerability scanning. It automates asset discovery, includes auto-configured continuous vulnerability scanning, and delivers penetration-testing insights, all in one solution to deliver fast, measurable, and affordable risk reduction.

Since 2013, Halo Security has helped over 2,000 clients discover and remediate vulnerabilities in their external-facing assets before attackers can exploit them.

As a PCI DSS Approved Scanning Vendor (ASV) and SOC 2 Type II certified organization, Halo Security maintains the highest standards for both its services and operations. Halo Security is headquartered in Miami with a 100% US-based team.

For more information about Halo Security's SOC 2 Type II compliance or to request the company's SOC 2 report, users can contact a Halo Security representative or visit www.halosecurity.com.

Contact

VP of Marketing

Nick Hemenway

Halo Security

[email protected]

:::tip This story was published as a press release by Cybernewswire under HackerNoon’s Business Blogging Program. Do Your Own Research before making any financial decision

:::

\

当“够用就好”的用户体验成为你此生最昂贵的决定

2026-01-23 13:00:03

I've been designing products for over a decade now, and I've noticed something: most design debt doesn't start with bad design. It starts with decisions that made perfect sense at the time.

A PM says, "Let's ship this for now, we'll clean it up in Q3." The team's underwater. The deadline's real. And honestly? Shipping something imperfect is often the right call. Products have to move. I've made these calls myself.

But somewhere between launching and scaling, something shifts. The usability issues that were supposed to be temporary become permanent. Not dramatically. Just quietly enough that users adapt, and teams stop seeing the problem.

The thing nobody tells you about "later"

"We'll fix it later" might be the most expensive lie in product development.

Because once a workaround actually works, it becomes normalized. Once users figure out how to compensate for bad UX, the friction stops showing up in your metrics. And once revenue is flowing, the urgency to fix it evaporates.

That's how UX debt sneaks in. Not through negligence, but through success. You shipped, users adapted, and now changing it would break more things than it fixes.

Tech debt will eventually crash your system. UX debt just slowly erodes trust until users quietly leave for something that doesn't exhaust them.

Constraint is what forces clarity

There's this romantic idea that need drives good design. I used to believe that too.

But what I've actually seen is that constraint drives good design. When you have limited resources, you're forced to be ruthless about what matters. You strip features to essentials. You design for clarity because complexity costs too much.

Then the scale arrives, and everything flips.

Suddenly, there's a budget to patch edge cases rather than solve them. New features get bolted onto old flows because rebuilding would take three sprints. Internal logic starts replacing user logic because, well, the team understands it and users will figure it out eventually.

The product still "works." It only works if you already know how to use it.

Users will learn anything. That's the problem.

Here's what makes UX debt so insidious: users are incredibly adaptable. They'll memorize your broken flows. They'll tolerate awkward steps. They'll blame themselves when something feels confusing.

I've watched users in research sessions apologize for not understanding an interface that was objectively terrible. "Sorry, I'm probably just doing this wrong."

So the signals teams rely on - drop-off rates, complaints, rage clicks - often come too late. By the time you notice a usability problem at scale, it's not a design issue anymore. It's an organizational one.

Because now multiple teams depend on that flow. Changing it would break analytics, experiments, and Development scope. Nobody owns the whole experience. And fixing it would require coordination across product, eng, data, and legal.

That's your UX debt compounding with interest.

"Users are used to it."

This is the phrase that should terrify you.

I've heard it in probably fifty meetings over my career, and it never means what people think it means. It doesn't mean the experience is good. It means the experience has successfully trained users to lower their expectations.

And once that happens? Innovation slows. Conversion plateaus. Support costs creep up in ways that are hard to trace. Retention erodes, but quietly, so you don't connect it to the UX issues you decided were "fine."

\

==You don't lose users because your product fails. You lose them because using it is exhausting.==

\

What actually prevents this

The teams I've seen handle this well don't obsess over perfection. They obsess over reversibility.

They ask questions like: Can we undo this decision later without breaking everything? Are we optimizing for speed or clarity right now, and do we have a good reason? What assumptions are we baking into this that future users won't share?

They treat usability like infrastructure, not polish. Because once UX becomes a "nice to have," you've already lost.

The cost isn't visual

UX debt isn't about ugly screens or outdated visual design.

It's about extra cognitive load: the thinking users shouldn't have to do, the invisible rules they have to remember, the mental models that stopped matching reality two versions ago.

And cognitive load is expensive. For users, for support teams, for growth, for retention.

The irony is that teams often spend more engineering effort working around bad UX than it would take to fix it. I've seen entire features built just to compensate for a confusing core flow that should have been redesigned years ago.

A test you can run tomorrow

Ask a new hire to use your product without any guidance. Just watch.

Notice where they hesitate. Where they say "Why does it work this way?" Pay attention to what they assume versus what's actually true.

That gap is your UX debt, fully compounded and charging interest.

Final thought

Look, sometimes "good enough" design is the right call. I'm not advocating for perfectionism. Products have to ship.

But when "good enough" becomes your strategy, when you stop revisiting and improving usability even when things are working, you're building debt. And unlike financial debt, you can't see the balance. You just feel it in the slow erosion of user loyalty and the increasing cost of doing anything new.

Need might invent solutions. But sustained success requires that usability be designed, revisited, and defended, especially when metrics say everything's fine.

==Because the most dangerous UX problems are the ones nobody complains about anymore.==

SemanticGen证明视频AI无需更强算力——只需更优抽象层

2026-01-23 12:35:44

SemanticGen proves that smarter abstractions—not more GPUs—are the key to scalable, coherent video generation.