
Official X of the SourceForge Podcast. Full podcasts and clips from the @SourceForge Podcast, the biggest B2B software podcast in the world.
Joined February 2010
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SourceForge Podcast retweeted
InEight Schedule helps capital construction teams create accurate, reliable project plans faster with practical AI, collaborative markup, and integrated risk management. By combining powerful CPM scheduling with an intuitive cloud-based experience, it keeps field teams and project leaders aligned, eliminates disconnected side schedules, and improves project predictability.
In this SourceForge Product Demo Showcase, Jordan Brooks, Director of Products at @ineightsoftware, demonstrates InEight Schedule, a construction scheduling platform designed to connect estimating, CPM planning, risk analysis, and field execution. The demo highlights InEight Schedule’s project and portfolio dashboards, DCMA-based schedule quality checks, browser-based plan views, customizable activity details, and AI-assisted suggestions powered by an organization’s own historical schedules and productivity data. Jordan also demonstrates collaborative markup workflows that let subject matter experts review durations and risks before a baseline is locked, Monte Carlo risk analysis, schedule comparisons, and short interval planning tools that connect field-level work plans with the master CPM schedule. Together, these capabilities help contractors and project owners improve schedule accuracy, build team alignment, identify risks earlier, and close the gap between office planning and real-time field execution.
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FormAssembly helps organizations collect clean, compliant data and turn it into reliable automated workflows from the moment it is submitted. With secure forms, powerful integrations, and AI-assisted workflow creation, FormAssembly enables teams to maximize their Salesforce, automation, and AI investments while protecting mission-critical data.
In this episode, we speak with Josh Strehle, Director of Product Marketing at @FormAssembly, about why online forms have become much more than simple contact pages—and why they now serve as the front door for sensitive data across healthcare, higher education, finance, government, and other regulated industries. Strehle explains how organizations use forms to collect applications, medical information, financial details, student records, race registrations, and other critical data, while showing why security, privacy, branding, validation, and compliance must be considered at the point of collection rather than after information reaches a CRM or other system.
The conversation explores where free and freemium form builders begin to fall short, particularly when organizations need reliable performance at scale, deeper customization, strong integrations, and better control over who can access submitted information. Strehle explains how FormAssembly’s direct Salesforce and HubSpot integrations help prevent duplicate records, reduce manual data cleanup, prefill information users have already provided, and validate data before it enters a system of record. He also discusses encryption, masked fields, audit logs, access controls, direct integrations without third-party middleware, and the importance of evaluating every system and handoff that touches sensitive information.
The episode also examines the growing complexity of compliance requirements such as HIPAA, GDPR, FERPA, PCI, SOC 2, and FedRAMP High. Strehle shares how FormAssembly is working toward a policy library and AI-assisted guidance to help organizations identify compliance gaps and operate within clearer guardrails. He explains how businesses can migrate scattered or paper-based forms quickly through file-to-web-form conversion, and shares the Boston Marathon’s use of FormAssembly to collect information from thousands of participants. His broader message is that forms should not be treated as an afterthought: when organizations invest in secure, trustworthy, well-integrated data collection, they can protect users, improve data quality, reduce manual work, support compliance, and create a stronger foundation for automation and future AI-powered operations.
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Dash is an AI teammate that lives inside Slack or Microsoft Teams, connects to your existing business tools, and handles real work like reporting, customer follow-ups, marketing audits, and product publishing. It gives teams extra capacity without adding another app or hire, while keeping people in control through approval-based actions and enterprise-grade security.
In this SourceForge Product Demo Showcase, Vinay Patankar, co-founder and CEO of Process Street, demonstrates @dashpupai, an AI teammate designed to work inside Slack and Microsoft Teams.
Vinay explains that Dash aims to make AI useful across an entire organization, not just for technically advanced users, by fitting into tools teams already use. It can answer questions by searching company information, connect with thousands of tools, carry out tasks, create scheduled reports, and suggest ways to automate repetitive work. The demo shows Dash finding maintenance-policy information across systems, creating an employee kudos card, and making website updates.
The conversation also covers safeguards: teams can control permissions and data access, and Dash requires approval for write or delete actions by default. Its shared memory and understanding of an organization can help coworkers benefit from knowledge added by others. At the time of the recording, Dash was in beta, with Vinay inviting viewers to try it and mentioning additional credits for SourceForge viewers.
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Elevate EDI gives small businesses fully managed EDI software without the complexity, hidden fees, or long-term contracts. With fast onboarding, transparent pricing, seamless integrations, and responsive human support, Elevate makes EDI easy to launch, manage, and scale.
In this episode, we speak with Jim Gonzalez, CEO of @EdiSupportLLC, about why electronic data interchange can become such a difficult and expensive challenge for small businesses. Gonzalez explains what EDI is, how it differs from an ERP system, and how documents such as purchase orders, acknowledgments, shipment notices, and invoices help businesses exchange information with major retail, logistics, healthcare, and pharmaceutical partners. He also shares his personal journey from programmer and EDI implementer to consultant and founder of Elevate, a cloud-based managed EDI platform built to better serve small and midsize businesses.
The conversation explores what companies should do after landing a major retail account and being told they must become EDI compliant before shipping. Gonzalez warns businesses to conduct their own research instead of automatically accepting a trading partner’s recommendation, especially because providers may require long-term contracts, charge hidden setup or data fees, offer limited support, or take a percentage of revenue. He encourages companies to evaluate contract length, pricing increases, implementation responsibilities, customization options, ERP and API integrations, service-level agreements, and the availability of responsive human support.
The episode also examines why EDI providers need to balance automation with human expertise. Gonzalez explains that artificial intelligence can assist with mapping, development, reminders, and standardized processes, but it cannot yet replace experienced professionals who understand a company’s unique workflows, conditional rules, and business requirements. His broader message is that EDI does not have to be overwhelming: with the right provider, transparent pricing, modern infrastructure, knowledgeable support, and careful due diligence, small businesses can reduce costs, avoid unnecessary lock-ins, and build reliable systems that support long-term growth.
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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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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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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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Epicor Kinetic is a cloud-based ERP platform built for manufacturers, helping businesses connect operations, streamline production, and gain real-time visibility across the enterprise. With integrated analytics, automation, supply chain, financial, and manufacturing capabilities, Kinetic helps companies improve efficiency, control costs, and scale with greater agility.
In this Product Demo Showcase, Nick Adams, an @Epicor solutions engineer, explores Epicor Kinetic, a manufacturing-focused ERP platform built to unify finance, supply chain, production, scheduling, quality, and shop floor operations in one system. The demo highlights Kinetic’s browser-first interface, customizable dashboards, role-based security, real-time job tracking, mixed-mode manufacturing support, material requirements planning, and embedded quality management. Nick also introduces Epicor’s Grow Data Platform, which uses AI-assisted data mapping and validation to simplify migrations from legacy systems while supporting ongoing analytics and data monitoring.
The discussion then explores Epicor Prism, a manufacturing-specific embedded AI toolkit that provides contextual insights, surfaces production and procurement issues, and helps users take action without leaving the ERP. Additional capabilities include Prism Agent Foundry, which allows customers to build customized agents and dashboards, and an MCP server that connects Kinetic securely with external AI tools while preserving manufacturing context. Overall, the showcase emphasizes Epicor Kinetic’s unified data model, flexible deployment, real-time visibility, human-guided AI, and ability to help manufacturers modernize operations without sacrificing control or security.
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Nexcess Managed Cloud delivers high-performance, scalable cloud hosting built for demanding websites, ecommerce stores, and business-critical applications. With fully managed infrastructure, built-in security and performance optimization, and expert 24/7 support, @Nexcess helps businesses stay fast, reliable, and ready to scale without the burden of managing servers themselves.
In this episode, we speak with Michael Ohayon of Nexcess Managed Cloud about the fallout from Broadcom’s VMware acquisition and the sharp rise in renewal costs for many customers. They explain that the biggest hit is landing on SMB and mid-market companies, where licensing changes can turn a routine renewal into a major budget crisis.
The conversation also zooms out to broader infrastructure trends. Michael says many IT leaders are becoming more cautious about relying too heavily on AWS, Azure, or any single platform, especially after outages expose hidden dependencies across their tech stacks. The takeaway: more teams are looking for hybrid, diversified setups with more predictable costs.
Nexcess Managed Cloud’s pitch is that it can absorb a lot of the operational burden for these companies. Michael describes how they provide managed infrastructure, compliance-focused hosting, migration support, backup and disaster recovery, and 24/7 monitoring so internal IT teams can focus on higher-value work instead of constant firefighting.
A big section of the episode focuses on what it actually costs to leave VMware. It’s not just the licensing bill — it can also mean new hardware, migration services, new tooling, new staffing needs, and even paying VMware during a transition period. Michael says that’s why many customers feel trapped and why a phased, low-risk migration strategy is often the best first step.
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FastField Forms helps businesses replace paper forms with customizable mobile forms that make field data collection faster, easier, and more accurate—even offline. With automated reporting, real-time dashboards, AI-powered form conversion and submission analysis, FastField turns collected data into actionable insights while streamlining workflows from the field to the back office.
In this episode, we speak with Ross Martial, Senior Director of Growth Operations and Finance at @Quickbase, about why collecting data is only half the battle—and why the real value comes from turning that data into decisions while it still matters. The conversation covers how field data often gets buried in forms, inboxes, or spreadsheets, why that creates costly delays, and how FastField helps teams route information instantly to the right people and systems.
Ross explains that @fastfieldforms sits between the field and the back office, acting as the “connective tissue” that keeps workflows moving. He also highlights one of the platform’s biggest advantages: offline access. Even in places with no signal, like oil rigs, basements, or substations, workers can keep collecting and submitting data, then sync everything once connectivity returns. That capability, he says, can save teams significant time and eliminate the need to fall back on paper. The episode also dives into FastField’s AI capabilities, especially photo insights. Ross describes how the system can analyze images and video from inspections to identify defects, hazards, and missing information, then generate structured findings such as severity ratings and confidence scores. He emphasizes that human judgment stays in the loop, but AI makes inspections faster, more consistent, and more proactive.
Finally, the discussion covers FastField’s low-barrier approach to adoption, including its upcoming AI builder that lets users create forms and workflows from simple prompts. Ross frames the company’s strategy as helping teams start with their biggest pain point first, then expand from there—making digital transformation feel practical instead of overwhelming.
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Servers.com delivers hybrid bare metal cloud infrastructure that combines scalable servers, customizable enterprise hosting, GPU-powered AI compute, and managed Kubernetes under one global network. Built for demanding workloads across industries like SaaS, fintech, gaming, streaming, and Web3, it helps businesses scale quickly, reduce latency, and maintain reliable performance without sacrificing control.
In this episode, we speak with Isaac Douglas, General Manager at @servers_com, about why many engineering and IT teams are rethinking the public cloud and moving toward a more mixed infrastructure strategy. The conversation covers how hyperscale cloud promised simplicity and lower costs but has often become more complex and expensive in practice, why no single provider should be treated as the answer for every workload, and how companies are increasingly choosing the right environment based on the specific needs of each application.
Isaac explains that bare metal cloud can offer the control, performance, and security of dedicated hardware while still preserving scalability and operational flexibility. He also discusses how managed Kubernetes on bare metal helps teams offload infrastructure complexity, letting them focus more on application scaling than on day-to-day operations. The episode further explores how AI workloads are accelerating demand for raw compute, low-latency infrastructure, and faster capacity access, making multi-vendor and hybrid approaches even more important.
The conversation also digs into migration pain points, including outages, support issues, and rising cloud bills, and why businesses should evaluate the true cost and ROI before moving. Isaac shares a real-world example of an ad tech company that improved growth, performance, and cost control by moving only the parts of its stack that made sense, while keeping other services where they already worked well. Overall, the episode argues that the future of infrastructure is not cloud versus not cloud—it’s deciding which workload belongs where and partnering with a provider that gives honest guidance.
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Flipsnack transforms static PDFs into interactive, shareable flipbooks that help businesses engage audiences, capture leads, and track what drives action. With built-in design tools, analytics, collaboration, integrations, and enterprise-grade security, it gives teams one platform to create polished digital catalogs, brochures, magazines, reports, and more.
In this episode, we speak with Janina Moza, Chief Marketing Officer at @Flipsnack, about how businesses can turn static PDFs into interactive, trackable flipbooks that are far more engaging for sales, marketing, and internal communication. The conversation covers why interactive content outperforms traditional PDFs, how sales teams use branded templates and editable workspaces to create proposals quickly, and why strong branding and consistency matter when dozens of reps are sharing materials.
Janina explains that Flipsnack helps teams go beyond just “making a flipbook” by offering an all-in-one publishing platform with analytics, privacy controls, and integrations that give sales teams visibility into how prospects actually engage with content. She highlights how tracking opens, page views, clicks, heat maps, and timing can help sellers follow up more intelligently and tailor conversations to what buyers care about most.
The episode also explores how marketing and sales collaborate on the platform, with marketing creating core assets and sales personalizing them for specific prospects. Janina shares that customers are often more creative than the product team expects, and that many valuable use cases emerge from watching how people actually use the tool. She also discusses how the future of sales enablement will be shaped by AI, automation, and deeper CRM integrations that make content creation and follow-up faster and more seamless.
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Wash-Dry-Fold POS is purpose-built laundromat software that combines point of sale, order tracking, pickup and delivery, employee management, reporting, loyalty, repair tracking, and more in one easy-to-use platform. Designed by laundromat owners and proven across high-volume stores nationwide, it helps operators streamline daily operations, reduce errors and theft, and scale from a single location to a multi-store business.
In this episode, we speak with Ian Gollahon, co-founder and CEO of Wash-Dry-Fold POS, about how he built a laundromat point-of-sale system from the ground up by using his own stores as the test bed. The conversation focuses on the difference between self-serve payment systems and a true wash-dry-fold POS, and why generic retail tools like Square often fall short once orders need to be tracked through every step of the process. Ian explains that the platform is designed to manage the actual counter operation: creating orders, tracking machines, logging timestamps, sending customer texts, and keeping everything tied to the right load of laundry.
The episode also explores why the software matters most for fully attended laundromats, especially those offering wash-dry-fold service at scale. Ian explains how the system helps owners reduce mistakes, prevent theft, and avoid customer disputes by maintaining a detailed audit trail of what happened to each order. He stresses that the real cost of software is not just the monthly fee, but also payment processing rates, hardware reliability, and how easy the system is for attendants to use. That usability theme runs throughout the conversation, with Ian noting that a tool only works if the people running the store can actually adopt it day to day.
A major theme of the conversation is that business software should reflect the real workflow of the business, not force owners to adapt to generic retail assumptions. Ian emphasizes that laundromat owners need tools that help manage employees, track shift tasks, and keep multi-store operations visible from a single dashboard. He also shares that the best POS depends on the business model: some laundromats need wash-dry-fold management, while others may be better served by delivery- or dry-cleaning-focused tools. The episode closes with Ian’s advice to focus on your core laundromat business first, then scale into delivery only when the underlying operation is already strong and profitable.
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FarsightIQ is an AI-powered retail intelligence platform that helps retailers predict demand, optimize inventory, uncover actionable insights, and make faster, data-driven decisions. Its suite of predictive analytics, machine learning, and computer vision solutions helps improve forecast accuracy, boost sales and margins, reduce carrying costs, and enhance the customer experience.
In this episode, we speak with Scott Pearson, VP of Sales and Marketing at @JestaIS, about how the company is using AI to help retailers move from hindsight to foresight and then into action. The conversation focuses on FarsightIQ, Jesta’s new AI division, and how it’s designed to help retailers deal with inventory distortion, stockouts, overstocks, and the complexity of modern retail planning. Scott explains that the platform is built as a decision-intelligence layer, not just a reporting tool, so it can observe demand, anticipate outcomes, recommend actions, and still keep a human in the loop.
The episode also explores how FarsightIQ is organized into several modules, including demand forecasting, product attribution, replenishment, inventory balancing, risk detection, natural-language advising, and operational matching. Scott explains why traditional analytics often fall short, especially when retailers are dealing with fragmented data, changing channels, promotions, local events, and seasonal differences. He emphasizes that the system is designed to work with both constrained and unconstrained demand, helping retailers understand not just what sold, but what could have sold if inventory had been available.
A major theme of the conversation is that AI is most effective when it supports, rather than replaces, human judgment. Scott stresses that merchants and planners still need oversight because they understand context that AI may miss, such as local events, vendor issues, or visual changes in-store. He also explains that successful AI adoption depends on clean, focused, and well-structured data, and that retailers should start with the highest-value use cases instead of trying to solve everything at once. The episode closes with Scott’s advice to focus less on systems themselves and more on the decisions those systems are meant to improve.
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Auth0 makes it fast and easy to add secure, scalable authentication and authorization to any application, API, or AI agent. With 30+ SDKs, enterprise-grade security, fine-grained access controls, and support for billions of monthly logins, it helps teams launch faster without building identity from scratch.
In this episode, we speak with Gareth Davies, Chief Product Officer at @auth0, and Monica Bajaj, SVP of Engineering at @okta. This conversation centered on how identity is becoming a strategic growth driver in SaaS, especially as AI agents and machine identities multiply and enterprise workflows get more complex. The main takeaway was that modern identity systems need to be organization-aware, multi-tenant safe, and built for self-service so they can scale without creating security, compliance, or engineering bottlenecks. It also highlighted the shift from static role-based permissions to more dynamic, context-aware authorization, and closed with the idea that probabilistic thinking helps teams make better decisions in uncertain, fast-changing environments.
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FirstPromoter is an affiliate, referral, and influencer management platform built for subscription businesses, enabling companies to launch, track, and scale partner programs with billing-aware commission automation. By integrating directly with subscription billing systems, it automatically manages referrals, recurring commissions, payouts, and compliance, helping SaaS and AI companies grow partner-driven revenue with minimal manual effort.
In this episode, we speak with Tautvydas Vasiliauskas, Head of Marketing at @FirstPromoter, about why affiliate and referral programs are especially powerful—and uniquely difficult—for SaaS and subscription businesses. The conversation covers how subscription affiliate tracking differs from e-commerce, why direct integrations with billing systems like Stripe and Paddle are essential, and how recurring revenue makes commissions, upgrades, downgrades, and cancellations much more complex.
Tautvydas explains that affiliate marketing works well for B2B SaaS because buyers usually research heavily before purchasing, making reviews, comparisons, and educational content highly effective. He also emphasizes that most programs follow a “small number of high performers” pattern: a tiny percentage of affiliates drives nearly all revenue, so companies should focus on quality partners rather than chasing volume through marketplaces.
The episode also explores how to launch a program from scratch, recommending that companies start with their own customers, power users, and niche creators rather than expensive large influencers. Tautvydas stresses that affiliate success depends on ongoing recruiting, not just initial setup.
Other key topics include fraud prevention, especially ad fraud and self-referrals, and the importance of convenience for keeping affiliates engaged—branded dashboards, clear incentives, easier payouts, and strong support materials all matter. The episode closes with a forward-looking discussion on AI, which is reshaping attribution, content creation, publisher quality, and affiliate management, while creating both new opportunities and new fraud challenges.
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GroupTogether makes it effortless to create online group cards, collect money for gifts, and send up to 1,000 eGift Cards in minutes. With unlimited signatures, easy sharing, automated reminders, and a choice of 150+ brands, it turns birthdays, farewells, and workplace celebrations into a simple, memorable experience.
In this episode, we speak with Julie Tylman, Co-Founder of GroupTogether, about how she and her co-founder built the product after experiencing the pain of chasing people for signatures, money, and gifts. GroupTogether lets people create online group cards, collect contributions, add photos and GIFs, and send gift cards or gifts without requiring accounts or extra app downloads.
A big theme of the conversation is recognition at work. Julie explains that companies often understand recognition matters, but execute it in a way that feels impersonal. GroupTogether tries to fix that with thoughtful design, gentle reminders, anonymous contributions, and AI-assisted message writing that helps people express appreciation more naturally.
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RouteGenie helps NEMT providers simplify the entire transportation operation with one platform for routing, scheduling, dispatching, billing, fleet management, driver workflows, and passenger communication. By automating daily challenges like no-shows, add-on trips, vehicle breakdowns, billing errors, and inefficient routes, RouteGenie helps providers complete more trips, reduce costs, improve on-time performance, and grow revenue.
In this episode, we explore how non-emergency medical transportation is becoming a core part of healthcare access, especially for older adults, chronic care patients, and underserved communities. We speak with @RouteGenie CEO Cameron Craig who discusses how transportation affects outcomes, why the industry stayed paper-based for so long, and how verification, routing, and AI are modernizing operations.
