SourceForge Podcast

Superfiliate is a creator-led growth platform that helps D2C brands manage and scale influencer, affiliate, and ambassador programs across Shopify, Meta, and TikTok Shop. It brings creator discovery, automation, gifting, payouts, paid amplification, and revenue measurement into one unified platform so brands can turn creator marketing into a measurable, scalable acquisition channel.

In this episode, we speak with Andy Cloyd and Anders Bill, co-founders of Superfiliate, about how Apple’s iOS privacy changes disrupted the traditional paid advertising playbook. As tracking became less reliable and ad costs increased, brands began looking for new ways to reach customers without depending so heavily on third-party data.

The conversation explores how creators, real customers, ambassadors, and influencers have become an increasingly important part of that shift. The discussion also focuses on the infrastructure gap in the creator economy. While creator-led ads and partnerships can outperform traditional advertising formats, many brands still manage discovery, outreach, permissions, attribution, and payments manually. Andy and Anders explain that the challenge is no longer proving that creator marketing works—it is building the systems that allow brands to test more partnerships, identify the best-performing creators, and scale those relationships efficiently.

A major part of the episode examines the different types of creator programs brands use. These can include affiliate campaigns based on commissions, flat-fee partnerships with larger creators, and creator-led advertising through formats such as Meta partnership ads. Superfiliate positions itself as a broader operating layer for these programs, helping marketing, influencer, and paid media teams manage creator-driven growth across multiple channels.
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Kitecyber delivers unified, endpoint-native security for the AI era, protecting devices, sensitive data, SaaS applications, GenAI tools, AI agents, and private application access through one lightweight agent. By combining real-time visibility, contextual risk assessment, and immediate policy enforcement, Kitecyber helps organizations prevent data leaks, consolidate security tools, and support AI adoption without slowing productivity.

In this episode, we speak with Ajay Gulati, co-founder and CEO of Kitecyber, about how AI agents and distributed work are reshaping cybersecurity. Gulati explains that the traditional security perimeter is breaking down as employees work across laptops, SaaS applications, cloud services, and generative AI tools. With AI agents increasingly accessing, transforming, and moving sensitive data at machine speed, companies need visibility into not only what human employees are doing, but also what autonomous agents are doing on their behalf.

The conversation explores why the endpoint is becoming the most important place to protect data. Gulati argues that a device-level perspective can connect information about device posture, files, processes, users, agents, and network activity in real time. This allows companies to move from investigating leaks after they happen to preventing risky actions as they occur, such as an employee or AI agent copying sensitive information into an unapproved tool or uploading it to an unauthorized service.

The episode also examines why traditional data loss prevention tools often frustrate employees with excessive alerts and false positives. Gulati explains how context-aware, LLM-based classification can better distinguish genuinely sensitive information from harmless patterns, while continuous coaching can guide employees at the moment a risky action occurs. He emphasizes that security should work with employees rather than slow them down, because overly restrictive tools often encourage people to find ways around them.

Finally, the discussion looks ahead to the rise of agentic AI, prompt injection attacks, and hidden instructions embedded in documents that can manipulate autonomous systems. Gulati’s broader message is that companies should not assume that adding more disconnected security tools will automatically improve protection. Instead, they need a unified source of context that can monitor human and AI activity together, identify threats in real time, and secure the rapidly expanding non-human workforce.
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Careerminds helps organizations turn workforce change into opportunity through career transition, leadership development, executive coaching, and AI-powered career frameworks. Combining human expertise, real-time analytics, and global reach across 100+ countries, Careerminds delivers compassionate, cost-effective solutions that help employees grow, transition, and thrive.

In this episode, we speak with Raymond Lee, founder and president of Careerminds, about how artificial intelligence is reshaping jobs, layoffs, and career transitions. Lee explains that while 57% of HR leaders expect layoffs in the coming year, many employees feel confident because AI is helping them work more effectively. The deeper issue, however, is the shift from job security to skill security: workers need to understand which skills will remain valuable and which ones they must develop over the next 12 to 18 months.

The conversation also explores how companies should handle layoffs with more empathy and transparency. Lee argues that thoughtful communication, one-on-one conversations, and meaningful career transition support can protect employee dignity, company culture, and the employer brand. Careerminds helps people navigate that process through dedicated coaching, resume and LinkedIn support, personalized job-search plans, and guidance around reskilling, career changes, and reinvention.

The episode also looks at how employers can use transferable skills and workforce intelligence to redeploy strong employees instead of laying them off and later rehiring for similar roles. Lee’s broader message is that both individuals and companies need to become more proactive: workers should continually build future-ready skills, while employers should use better workforce data to support development, redeployment, and more humane transitions.
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The SourceForge Podcast is the world's largest B2B software podcast.

ManageEngine Key Manager Plus is an end-to-end certificate and key management platform that helps enterprises automate SSL/TLS certificate lifecycles, SSH key management, discovery, renewal, deployment, and monitoring from one centralized interface. With built-in machine identity management, vulnerability protection, key vaulting, integrations, and automated workflows, it helps organizations reduce security risks, prevent certificate outages, and simplify management at scale.

This episode breaks down the browser industry’s move to shorten public TLS certificate lifespans from 398 days to 47 days by 2029, and why that shift matters right now. We speak with Kumar Ramakrishnan, Director of Marketing for the ITSM and Privileged Access Management Suite at ManageEngine, to explain the timeline, the operational risks, and what certificate lifecycle automation actually needs to cover.

We discuss how the change affects organizations of every size, why manual renewal processes are going to fail at scale, and how teams should start with discovery before choosing tools. Kumar also shares how ManageEngine’s Key Manager Plus helps automate certificate discovery, renewal, deployment, and post-deployment actions across hybrid environments.
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The SourceForge Podcast is the world's largest B2B software podcast.

Paylocity is a unified workforce platform that brings HR, payroll, finance, and IT together in one modern system. Its automation, AI, analytics, and integrated workflows help organizations simplify operations, improve the employee experience, and make smarter workforce decisions.

In this episode, we speak with Aaron Kneiss of Paylocity about the company’s evolution from a payroll provider into a broader platform spanning HR, finance, and IT. Aaron explains how Paylocity’s Ignite AI brings purpose-built intelligence into everyday workforce operations, including payroll, recruiting, time tracking, reporting, and employee workflows.

The conversation focuses on the three core pillars of Ignite AI: an assistant that answers questions across the platform, AI-powered workflows that reduce repetitive tasks, and intelligent insights that help HR leaders understand their data. Aaron explains how users can ask questions in plain language and get analysis, charts, trends, and potential root causes without exporting data into spreadsheets or manually combining reports.

A major section of the episode explores how Paylocity is approaching AI in sensitive areas such as hiring, compensation, benefits, and employee information. Aaron describes the company’s governance process, protections for personally identifiable information, third-party bias audits, and granular controls that allow organizations to turn specific AI use cases on or off. The goal is to automate routine, high-volume work while keeping humans responsible for decisions that affect people’s livelihoods.
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Interested in appearing on the SourceForge Podcast? Contact us here.

The SourceForge Podcast is the world's largest B2B software podcast.