OSS.fund Newsletter $5 / month

Curated content, platforms, and the latest news about open source funding and monetization from https://oss.fund/

The hottest Substack posts of OSS.fund Newsletter

And their main takeaways

Coming soon

0 implied HN points • 12 Nov 22
  1. The post is about monetization
  2. The website is monetize.substack.com
  3. The content is coming soon

Join my new subscriber chat

0 implied HN points • 12 Nov 22
  1. Join the new subscriber chat created by the author on Substack
  2. Download the Substack app to be part of the chat and receive notifications
  3. Engage in discussions and updates with the author in the subscriber chat

Code that writes itself? Why ever not!

0 implied HN points • 12 Nov 22
  1. Google Cloud Next '22 made interesting predictions for 2025, like 90% of security operations being automated.
  2. The cloud infrastructure market is showing signs of slowing growth, but still performing well.
  3. Major deals in the cloud industry, like the US Army's $1 billion Enterprise Modernization and Migration program, are making waves.

Issue #7: When Prompts Go Rogue, Revenue Leaks

0 implied HN points • 01 May 25
🕹 Technology AI Security Business Enterprise Workflows
  1. Even if employees aren't writing prompts directly, they can still trigger them. These prompts can cause issues in workflows that customers see, which is a big risk.
  2. Prompt security is essential for businesses using AI. Companies need to make sure their prompts are safe to maintain trust and avoid losing customers.
  3. It's important for teams to test how their AI systems handle prompts before real users interact with them. Good testing can prevent issues from affecting the bottom line.

Issue #1: Why Enterprises Are Lukewarm on AI Model Providers

0 implied HN points • 20 Mar 25
💼 Business AI Strategy Enterprise Solutions Market Dynamics Technology Integration
  1. Enterprise buyers like AI solutions that fit into their current systems. They prefer options that include security and compliance, rather than just standalone AI models.
  2. Major companies like Microsoft, AWS, and Google are leading the AI market by bundling AI with their existing services. They are seen as more reliable partners compared to AI model providers.
  3. AI model providers need to focus on industry-specific solutions that help businesses improve revenue and efficiency. Simply having the best technology isn't enough for success in the enterprise market.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Issue #6: AI Literacy: The New Excel

0 implied HN points • 24 Apr 25
🕹 Technology AI literacy Digital Tools
  1. AI skills are now as essential as knowing how to use Excel was in the past. It's crucial for workers to be fluent in AI to thrive in their jobs.
  2. Companies should focus on practical AI training without needing extra budgets. Simple challenges and workshops can help teams get better at using AI tools.
  3. Finding internal champions who actively use AI and help others is key to success. It's not about having a fancy AI department, but about building a culture of experimentation and improvement.

Are Your AI Policies Still “PDF”? Really?

0 implied HN points • 05 Jun 25
🕹 Technology AI Governance Software Development Risk management
  1. AI policies should be more than just documents; they need to be coded directly into the systems. This helps ensure that rules are automatically enforced and reduce the risks of mistakes.
  2. Ignoring policy-as-code can lead to serious issues, like compliance breakdowns and financial losses. Simple coding changes can prevent big problems before they happen.
  3. Integrating policies into the development process makes AI governance a part of daily operations, helping companies to adapt quickly and use AI effectively without getting bogged down by regulations.

Will Your CFO Enforce a One-Year AI Payback?

0 implied HN points • 12 Jun 25
💼 Business Finance Management Innovation Strategy Technology
  1. CFOs want quick returns on AI investments. They expect companies to show profits within a year to keep funding going.
  2. Many businesses have too many AI projects without clear benefits. CFOs are pushing for proof that these projects are actually helping the company.
  3. To make decisions on AI funding, CFOs look for clear signs of cost savings, revenue growth, and compliance improvements. Projects that don't meet these standards might get cut.

Build Robust Enterprise AI Vaults

0 implied HN points • 05 Jun 25
🕹 Technology Artificial Intelligence Data Management Enterprise Solutions Governance Analytics
  1. Having clean and well-organized data is really important for making AI systems work properly. If the data is messy, it can cause a lot of problems.
  2. Creating an AI-ready vault helps businesses manage their data better. It can reduce costs, improve efficiency, and keep sensitive information private.
  3. The process of building this vault should be well-managed like a product, with a dedicated owner to keep track of progress and improvements.

Issue #10: Pay Bonus? To Drive AI Copilot Adoption? Sure!

0 implied HN points • 22 May 25
💼 Business AI Strategy Incentives Productivity Training Change Management
  1. Offering bonuses can increase the use of AI tools like Copilot in businesses. When people are paid to use these tools, it often leads to better results.
  2. Different roles in a company may require different incentive strategies to promote AI usage. For example, software engineers might benefit from bonuses, while some roles might not need them yet.
  3. Creating a fun and engaging training environment helps employees learn to use AI tools effectively. Simple activities can keep teams motivated and increase their usage.

Issue #9 - Board, Are You Ready for AI Unknowns?

0 implied HN points • 14 May 25
💼 Business AI Governance Corporate strategy Risk management Performance Metrics
  1. AI governance is becoming a critical focus for boards due to rising data, legal pressures, and new regulations. Companies now need to track their AI progress with scorecards every quarter.
  2. Boards are looking at five key performance indicators (KPIs) to measure AI effectiveness. These include adoption rates, financial performance, and risk management.
  3. There's a growing need for collaboration among different departments in companies. No single team should handle AI oversight alone; a cross-functional approach is key to successful AI governance.

Issue #8: Vibe Code These Four B2B 'Clean AI' Ideas.

0 implied HN points • 08 May 25
💼 Business Sustainability Consulting Tech Solutions
  1. Businesses should focus on reducing carbon emissions from AI processes, as this creates new opportunities and boosts revenue. It's not just about being eco-friendly but also about staying competitive.
  2. Implementing efficient use of resources, like optimizing prompts and models, can lead to cost savings and lower emissions. Smaller models can handle tasks well, which also benefits the environment.
  3. Tracking and offsetting carbon emissions in AI operations can enhance transparency and trust with clients. Offering these solutions could differentiate a service firm in the market.

Issue #5: B2B SaaS Founder, Paying the Hidden AI Tax?

0 implied HN points • 17 Apr 25
💼 Business SaaS AI Marketing Finance Strategy
  1. Adding AI features to a SaaS product can lead to increased costs without improving sales, which is seen as the 'AI Tax'.
  2. Companies need to clarify the value of their AI features and ensure that pricing matches this value to encourage growth.
  3. It's essential to track how AI features are used and their associated costs to manage margins effectively and prevent losses.

Issue #4: AI is Changing Developer Hiring: What it Means for Sellers & Buyers

0 implied HN points • 10 Apr 25
💼 Business Hiring Trends AI Impact Tech Solutions Sales Strategies Workforce Development
  1. AI is changing how companies hire developers. Now, businesses want engineers who can work with AI tools, not just write code from scratch.
  2. Sellers need to shift from selling programming hours to offering AI-driven solutions that improve efficiency and business results.
  3. Pre-sales and customer success are evolving with AI. Companies should use interactive demos powered by AI to better engage with buyers.

Issue #3: The Rise of the Full-Stack Client Leader

0 implied HN points • 03 Apr 25
💼 Business Sales Marketing Technology AI Training
  1. Salespeople today need to have technical skills, not just good people skills. Understanding the tech products you're selling is crucial to close deals.
  2. There's a new type of salesperson known as the 'full-stack salesperson.' They can talk tech and solve problems, making them more valuable in today's market.
  3. It's important for sales teams to adapt to changes in customer expectations. Knowing when to use technical knowledge or relationship skills can make a big difference in winning sales.

Issue #2: The AI Funding Approvals Merry-Go-Round

0 implied HN points • 27 Mar 25
💼 Business Finance Management Strategy Technology Consulting
  1. AI projects need special handling because they combine different business areas, making approval complex. It’s not just another tech upgrade; it affects finance, operations, and strategy all at once.
  2. CFOs want clear financial impacts and risks before they approve AI initiatives. If the proposal is vague or overly technical, it can get rejected, even if it's a great idea.
  3. Using a standardized template for AI funding requests helps everyone. It makes proposals clearer and helps tech teams speak the CFO's language, leading to quicker approvals.

The NVIDIA Enterprise Ecosystem: Are Indian SIs Missing the AI Gold Rush?

0 implied HN points • 13 Mar 25
💼 Business Technology AI Ecosystem Partnerships Innovation
  1. Indian system integrators need to shift from thinking like just service vendors to becoming ecosystem players to thrive in the AI space.
  2. NVIDIA is becoming a full-stack AI ecosystem provider, moving away from hardware, and this creates both challenges and opportunities for Indian system integrators.
  3. To succeed, Indian SIs should co-develop solutions with NVIDIA, own their technology stack, and find ways to monetize their AI intellectual property rather than just offering services.

Hyperscalers Are Quietly Taking Over Enterprise Tech Spend

0 implied HN points • 06 Mar 25
💼 Business Cloud Computing AI Technology SaaS
  1. Big tech companies like AWS, Microsoft, and Google are changing how businesses buy tech. They're not just providing cloud services anymore; they're also influencing what tools and services companies use.
  2. Smaller IT and SaaS companies are now reliant on these big tech firms to reach customers. This means they might lose direct contact with their customers and end up paying high commissions to sell on these platforms.
  3. To stay competitive, companies must avoid relying too much on one tech giant. Diversifying their services and creating unique offerings can help them survive and thrive in this new landscape.