Malith Gamage is the co-founder of Zapdigits, a privacy-first client reporting and marketing dashboard platform built for agencies. Originally from Sri Lanka and based in the Netherlands, Malith brings 15+ years of SaaS product development experience, including time at Brevo (a European unicorn) and an InsureTech company. He bootstrapped Zapdigits with his fiancée — a UX/UI designer — after identifying a gap in affordable, white-labeled reporting tools for small and mid-size marketing agencies.

• How a personal pain point — sharing data with a non-technical co-founder — led to the founding of Zapdigits
• Why white labeling on every plan (not just premium tiers) is Zapdigits' core differentiator against Agency Analytics and Looker Studio
• The current state of AI SEO reporting: what's trackable, what's not, and why the same query returns five different answers from the same LLM
• How European GDPR concerns shape product decisions around AI features and data handling — and why self-hosted LLMs are part of the solution
• The four-tier value pitch framework Jeremy uses to help SaaS founders move beyond 'we save you time' to identity-level positioning
• Bootstrap vs. investor funding: when to take the money, and what happens to product direction when you do

Malith originally built Zapdigits as an internal tool to solve a specific frustration: his non-technical co-founder kept asking for Stripe revenue and campaign data, and Malith didn't want to hand over full platform access. That internal dashboard became the seed of a full product — one that now serves over 90% SEO-focused marketing agencies, with Search Console, Google Analytics, and Google Business Profile as the three most-requested data connectors.

"White labeling — normally, competitors put it on the highest plan. We are focused on offering it on any of our plans."

On the AI SEO reporting front, Malith is candid about how messy the space is right now. Zapdigits currently aggregates brand visibility data across multiple LLMs — ChatGPT, Gemini, and others — to produce averaged visibility scores for agency clients. But as he explains, "domain authority doesn't seem to matter — sometimes it's a very new blog they pull from." He even found his own zero-DA Zapdigits AI domain being surfaced in responses after he'd never promoted it. The full breakdown of how they're approaching this is in their blog post on monitoring ChatGPT visibility at scale.

One of the most practical discussions in the episode centers on why shipping a bad AI feature is worse than shipping no AI feature. Malith's approach: before any feature goes live, he recruits the user who requested it for beta testing. That feedback loop — built from lifetime deal buyers and direct email conversations — has shaped the Zapdigits public roadmap, which users can vote on directly.

"Your AI is only as smart as your schema. As long as you give the correct data and the correct description, you will get good answers back."

Jeremy and Malith close with a rich conversation about when (or whether) to take venture capital. Malith observes that most of his direct competitors — including Agency Analytics — are bootstrapped. Jeremy shares a first-hand account of how Tap Clicks' investor-driven priorities reshaped...

Kevin Urrutia is a software engineer turned serial entrepreneur with 20+ years of experience building tech products. He's worked at Silicon Valley companies including Mint.com and Zaarly, and founded Voy Media, a digital marketing agency that has generated over $50 million in revenue. His latest venture, Magic Rinku, tackles one of SEO's most persistent challenges: automating internal link building at scale.

Connect with Kevin:

• Email: kevin@magicrinku.com
• Twitter: @danest
• Website: Magic Rinku

In this unscripted conversation, Kevin shares the journey of building Magic Rinku from personal frustration to SaaS solution. We dive deep into the technical challenges of WordPress integration, the strategic use of AI versus traditional algorithms, and unconventional marketing approaches that are actually working in 2025.

Kevin reveals how he discovered 350 out of 400 articles on his own site had zero internal links, the technical nightmare of supporting multiple WordPress page builders, and why cold email and Reddit still outperform traditional SaaS marketing for developer tools.

• How Kevin's personal pain with internal linking across 8-10 affiliate sites led to Magic Rinku
• The validation process through Reddit and direct customer conversations
• Why most SEO professionals are missing huge linking opportunities due to broken manual processes

• WordPress ecosystem challenges: Supporting Elementor, Beaver Builder, Gutenberg, and Classic Editor
• The 30-second delay problem and why bulk operations are complex in WordPress
• Database structure differences across page builders and how they affect plugin development
• Error handling and retry systems for WordPress API integration

• Strategic use of AI vs. traditional algorithms (RAKE, ENG tagger)
• Two specific AI use cases: contextual understanding and smart sentence generation
• Why 30% of AI suggestions are perfect, 50% need tweaking, and 20% are unusable
• The explainability problem and showing confidence scores to use...

In this conversation, Jeremy Rivera of Community Clean Links and SEO Arcade interviews Angshuman Rudra, a product manager at TapClicks, discussing the company's marketing operations platform, the intricacies of ETL processes, and the challenges of product management in a SaaS environment.

Angshuman shares insights on customer needs, market trends, and the importance of sales feedback in shaping product development. He's been heading up the creation and product management of their new TapDataMax product, and shared a lot of detail on the way Tapclicks views the "movement" of data. The discussion also touches on the evolving terminology in marketing technology, the role of AI in data management, and the future roadmap for TapClicks, including new features and integrations.

In this conversation, Jeremy Rivera interviews Bryan Shankman, co-founder and CEO of Tool Desk and LeadTruffle discussing the origins of their SaaS products, the challenges of pricing and customer support, and the strategies for marketing and future-proofing their business.

Bryan shares insights on building a successful startup in the home services industry, the importance of customer engagement, and the risks associated with relying on a platform like Jobber. In this conversation, Bryan Shankman discusses the evolution of his SaaS product, Tool Desk AI, focusing on the challenges and opportunities presented by platform dependencies, the innovative features of their AI-driven lead qualification tool, and the streamlined onboarding process for home service businesses. He also shares insights on marketing strategies and offers valuable advice for aspiring SaaS entrepreneurs.

takeaways

• Tool Desk started with a focus on home services and lead qualification.
• The initial product was inspired by a need for ringless voicemail systems.
• Pricing is strategically set at $149/month for the Jobber plug-in.
• Customer support is highly personalized, with direct communication from founders.
• The company is 100% bootstrapped, allowing for thoughtful financial decisions.
• Cold outbound marketing has been effective for customer acquisition.
• Building a product that fills gaps in existing platforms is crucial.
• Platform risk is a significant concern for businesses relying on third-party services.
• Future-proofing involves diversifying product offerings and reducing dependency on a single platform.
• The founders prioritize building something people want and scaling thoughtfully. The value proposition of Tool Desk AI is to fill marketing automation gaps.
• Platform dependency can pose significant risks for SaaS businesses.
• Tool Desk AI acts as a 24/7 sales representative for capturing leads.
• AI technology is being utilized to enhance lead qualification processes.
• Onboarding for home service businesses is designed to be frictionless and quick.
• The AI is trained on each customer's website to provide tailored interactions.
• Ev...

In this conversation, Jeremy Cohen, founder of Vooz an Omegle alternative in the anonymous video chatting space, discusses the journey of creating bootstrapping and self-motivating. He shares insights on the unique selling propositions of Vooz, including AI moderation and user engagement features.

The discussion covers the challenges of bootstrapping a startup, marketing strategies for user acquisition, and the importance of building a strong team. Jeremy also emphasizes the significance of taking action and starting with design, as well as the potential for monetization and growth in the SaaS space.

Take Aways

• Vooz aims to innovate in the anonymous video chat space with AI moderation.
• User engagement features like screen sharing and games are key to Vooz's strategy.
• Bootstrapping has been essential for Vooz's development and team formation.
• Finding motivated co-founders can be challenging but crucial for success.
• SEO and PPC are primary marketing strategies for user acquisition.
• Understanding how pricing strategy impacts SaaS marketing decisions
• Influencer partnerships can drive initial traffic but should be complemented by SEO efforts.
• Monetization opportunities are abundant once a user base is established.
• Starting with design helps in attracting talent and building a vision.
• AI moderation is a significant technical achievement for Vooz.
• Taking action and starting somewhere is vital for aspiring entrepreneurs.

• Mark Williams-Cook: Director of Kanda (formerly Candour SEO agency)
• Creator of Also Asked, a search intent research tool
• Publisher of Core Updates Newsletter
• Host of SEO Patent Podcast
• 20+ years of SEO experience

• Google's algorithm favors brand-like signals over traditional relevance
• Example: The Vatican website ranking for CBD gummies after being hacked
• Mark describes this as "a bandaid for the shortfalls that have been magnified in Google's algorithm because of Gen.ai"

• Video-first approach: "Start at video and work backwards" using transcription tools
• Particularly effective for client information: "If you are having to get information, especially from clients, sometimes trying to get clients to write an article is like getting blood out of a stone"
• Allows natural expertise to flow: "They will happily talk your ear off"
• Tools turn video into written content without "regurgitating stuff"

• Google has patents for understanding user expertise through search patterns
• Demonstrated in People Also Ask (PAA) results showing different questions based on perceived knowledge
• Example: Car dealership knowledge levels
  • Novice: "Red car under $20k near me"
  • Intermediate: "2024 Honda Civic MPG vs Toyota Corolla"
  • Expert: "Civic Type R torque curve comparison"

• Google classifies queries into distinct semantic categories
• These classifications determine which SERP features appear
• Additional classifiers like "local intent" and "explicit local intent" work alongside these categories
• Mark is develop...