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5 tips for promoting your open source project - Related to now, what?, slow, dawn, is

5 tips for promoting your open source project

5 tips for promoting your open source project

After months or years of hard work, you’ve just pushed your open source project to GitHub and made it public. Now it’s time to tell the world about it.

Chances are you’d rather spend time writing code than getting the word out about your project. Maybe your project will go viral and you won’t have to spend much time on marketing. But chances are you’re going to need to do some work to build awareness, at least in the early days. Fortunately, there are plenty of people who have been down this path and are willing to help. In this article, experienced maintainers offer their advice on sharing open source projects with the world.

Start with the obvious. Post to social media about your project. Submit it to Hacker News, Reddit, Product Hunt, and similar sites. Then keep an eye peeled for people who have the problem that you’re trying to solve. Respond to their posts and let them know you have a potential solution. Reach out to podcasts and YouTube channels. Submit talks to conferences. Offer to speak at meetups.

Keep promoting your work as you improve the project. Remember that people want to hear about helpful tools that solve real problems, as long as you’re genuinely trying to help, and not just spamming your followers. You might not be comfortable with self promotion, but you need to promote your work to get it out there. “You shouldn’t feel icky about it,” Sidecar maintainer Aaron Francis told us in a Q&A. “You put a lot of time into making something helpful.”.

Focus on the problem your project solves.

What should you say when you’re promoting your work? First and foremost, you need to know what problem your project solves and be able to communicate that to potential customers as simply as possible. “One of the biggest mistakes I see is the use of too much technical terminology,” says Chakra UI maintainer Segun Adebayo. It might be tempting to talk about the technologies you’ve built your solution upon, or the latest buzzwords you think customers might be interested in. Open source customers are, after all, often your fellow developers and technical people. But it’s easy to go overboard and obscure the value of the project.

For example, your project might make clever use of decentralized computing principles, points out Tasha Drew, co-chair for Kubernetes’ Working Group for Multi-tenancy, but what people really care about is why they should use it. “What’s the message you want people to take away from your webpage or your README? It’s probably not related to the theory behind the code,” she says.

Use that core message everywhere: Social media posts and profiles, blog posts, tutorials, etc.

Getting someone’s attention is only one part of the battle. If you want people to actually use, share, and contribute to your project, you need clear, up-to-date documentation. “Write as much as you can stand to write,” Francis says. Not only will it make your user experience superior, it might even improve your code. “If you find it’s hard to document a particular feature, that’s probably a sign that it’s too complicated and you need to simplify it,” he explains.

Think beyond just documenting the code. You should provide things like quick starts, tutorials, and screencasts. “Video is really helpful for a lot of people,” Adebayo says. “People learn in different ways so it’s crucial to provide different types of content.”.

No matter how good your documentation is, people are still going to have questions—and, if you’re lucky, pull requests. It’s essential to be responsive, especially when you’re just starting out. “Time is finite, we only get one life, so value those people who are willing to spend some of their precious resources on you,” Francis says. “That applies not just to people sending pull requests, but to people pointing out problems or making suggestions on social media as well.”.

That doesn’t mean you have to be on call 24/7 to provide an immediate reply to every single question and comment. But it does mean you shouldn’t let pull requests, issues, and comments sit for too long without a response. You have to let people know your project is active, and that you value their input. “It might be intimidating at first to interact with people you don’t know, but you have to do it if you want to grow,” says Adebayo. “This is a sure way to meet new people and make new friends that might be helpful to you in the future.”.

You need to document both how to use your project, and how to contribute to it. Create [website] and [website] files with your contribution guidelines and code of conduct. These let potential contributors know that you’re open to contributions and that you’ve put some thought into working with others. It’s especially helpful to provide a list of what you would, and would not, like potential contributors to help with.

Remember that non-code contributions, like documentation, support, and graphic design, are a big part of any successful project. While these aren’t necessarily non-technical, you shouldn’t assume too much technical knowledge. “You want to make your language and project easy to understand so that people of various technical skill levels will be interested,” Drew says.

Also be sure to take advantage of the “Help wanted” and “Good first issue” labels. These can help people who are looking for ways to contribute find your project.

Get started contributing to open source now.

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My Blogging Dawn

My Blogging Dawn

It’s been a long time since the idea of blogging has been lingering in my mind. This thought, however, was unable to materialize until now because I wasn’t sure about what to write. I kept thinking: What could I write that someone else might enjoy or find useful?

This idea has been simmering for a while, and I’m finally ready to give it a shot. I’ll be focusing part of my efforts on documenting what I’m up to, sharing my interests, and outlining the next steps I’m planning to take.

A little about myself: I’m a software development student from Latin America, and in April, I’ll be starting my 5th semester.

In the short term, my goal is to design and deploy a handful of websites that family members need. I’ll also be designing my own personal blog. I’ll be diving into Python too, as I’m eager to start exploring machine learning. I believe that at my current job, machine learning could add significant value, and it could help me eventually transition into a more IT-related role (currently, I work in operational management).

I hope I’ll be writing again sooner rather than later.

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Slow Is Officially the New Down. So Now What?

Slow Is Officially the New Down. So Now What?

Slow is officially the new down. That’s a major finding of Catchpoint’s SRE study 2025, with 53% of study respondents agreeing with this expression, and 44% stating “performance should be tracked against a service-level objective.”.

In the context of the SRE findings, the research was ostensibly talking about web performance and the need to deliver fast, personalized and seamless digital experiences. The findings goes on to say, “poor [app] performance is as bad as complete downtime or unavailability,” and that IT should measure performance against experience-based objectives ([website], ensure 95% of our clients can check out on our site in under 5 seconds).

This got me thinking. How can you litmus test the importance of performance for yourself without all this jargon? (Think of this advice: “Before you marry a person, you should first make them use a computer with slow internet to see who they really are.”).

Getting to the more essential, serious question, what can organizations do to account for this new paradigm?

First, for funsies, here are some personal litmus tests to gauge your own view on the importance of performance.

The next time you go through a drive-through window and the entity on the other side asks, “May I take your order?” do not respond. Instead, start counting slowly: “One Mississippi … two Mississippi …” I’d venture to guess they might again ask, “May I take your order?” before you get to three or four Mississippis. Note, if you order ahead on an app, instead of ordering at the drive-through, then slow is already the new down for you!

2. The Hourglass Should Really Be a “Seconds Glass”! (Get It???).

The next time you go to place an online order and you get any form of an hourglass ([website], the hourglass icon, a “please do not refresh this page or go back” message, etc.), be mindful of how long you wait before you start thrashing your cursor or checking your phone for the latest notifications or social media updates. It probably will only be a few seconds.

The next time you start watching a ”how-to” video, take note of how long you watch before you start thinking, “Just show me how to do it already.” Chances are, it won’t be too long before you go back and look for another video with a shorter duration.

Now that we’ve warmed up a little bit, let’s get serious. Faster websites and apps mean faster money for your organization. There is no shortage of data on the positive impact of “fast” sites versus the negative impact of “slow” sites (which really means fast vs. slow user experience).

With that in mind, let’s look at five actions to help you address the “slow is officially the new down” problem.

It’s crucial to align the perceptions of reliability practices across different managerial levels. Our research highlights a stark contrast in how various levels of managerial responsibility perceive reliability practices. If IT and business teams can’t agree on what’s broken, it becomes nearly impossible to prioritize web performance initiatives. To address this, acknowledge the gap between IT and business perspectives and work towards bridging it.

Ensure there is a clear, shared understanding of the current state by comparing “work as imagined” versus “work as actually done.” Additionally, understand how IT efforts to improve web performance can positively influence business revenue and other critical KPIs.

2. Track Performance Against Experience-Level Objectives.

Tracking performance against experience-level objectives is essential. Most IT organizations focus solely on good or “green” internal IT metrics, but this doesn’t necessarily mean the individuals’ digital experience is also good.

Monitoring and measuring internal metrics alone won’t guarantee a good user experience. Therefore, it’s crucial to add outward-in, experience-based indicators, such as the number of people who complete a checkout on your site, and track them against experience-based objectives. Visualize whether you are on track to meet or miss these objectives using a burndown chart to provide a clear picture of your progress.

3. Get Answers Faster With AI and Analytics.

Leveraging AI and analytics can help you get to the answers faster. In addition to tracking experience-level objectives, use AI and analytical capabilities to look beyond simple averages. Central-tendency averages can be misleading and don’t reveal the percentage of clients having different types of experiences ([website], fast or slow).

It’s essential to identify the long tails (the less frequent values), as they may represent significant revenue findings. Use advanced analytics to present full distributions of performance data and break down data by essential business dimensions, such as which markets generate the most revenue. Employ AI to find trend shifts and correlations within your datasets.

4. Apply a Performance Mindset to Every Stack Component.

Measuring the performance of your application solely at its source, such as from the same cloud where it’s hosted, provides no insight into what impacts the user experience. This is why you must apply a performance mindset to all stack components between a user and your sites or applications. Since experience-level objectives are crucial, having visibility into what affects that experience will help you address performance issues as they arise ([website], did performance regress after this last enhancement?).

Therefore, in addition to measuring performance at the source, measure the performance of the user’s experience — where it actually occurs — to gain a comprehensive understanding.

5. Maintain Continual Performance Improvement and Optimization.

Lastly, lead with a culture of continual performance improvement and optimization. Performance is not a one-time effort; it requires ongoing work to improve and optimize both the frontend and backend. As clients’ expectations continue to rise, their demand for faster and faster experiences will also continue to rise.

To meet these expectations, consider these 4C’s. Establish a culture of communication and collaboration, catalyzed by an evergreen performance mindset. This will help ensure that your organization remains focused on delivering optimal performance.

To learn more about this research, download the SRE findings 2025 or read it online (no registration required).

Register for the TNS webinar Performance Under Pressure: Why Internet Performance Monitoring Is Non-Negotiable for Today’s Websites and Apps in partnership with Catchpoint. March 25, 2025, 1 [website] ET | 11 [website] PT.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
7.5%9.0%9.4%10.5%11.0%11.4%11.5%
7.5%9.0%9.4%10.5%11.0%11.4%11.5% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
10.8% 11.1% 11.3% 11.5%
10.8% Q1 11.1% Q2 11.3% Q3 11.5% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Enterprise Software38%10.8%
Cloud Services31%17.5%
Developer Tools14%9.3%
Security Software12%13.2%
Other Software5%7.5%
Enterprise Software38.0%Cloud Services31.0%Developer Tools14.0%Security Software12.0%Other Software5.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Microsoft22.6%
Oracle14.8%
SAP12.5%
Salesforce9.7%
Adobe8.3%

Future Outlook and Predictions

The Tips Promoting Your landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the software dev sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing software dev challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of software dev evolution:

Technical debt accumulation
Security integration challenges
Maintaining code quality

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

platform intermediate

algorithm Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

Kubernetes intermediate

interface

microservices intermediate

platform

API beginner

encryption APIs serve as the connective tissue in modern software architectures, enabling different applications and services to communicate and share data according to defined protocols and data formats.
API concept visualizationHow APIs enable communication between different software systems
Example: Cloud service providers like AWS, Google Cloud, and Azure offer extensive APIs that allow organizations to programmatically provision and manage infrastructure and services.