Welcome to the Fringe Lines Podcast, where we dive into the world of cloud computing, cryptocurrency, and cybersecurity—an umbrella that lets us explore everything we care about Hosted on Acast. See acast.com/privacy for more information.
Fringe Lines
Claim This Podcastby Quinn Devery
36 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇺🇸
12
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality24
Social0
YouTube0
Engagement0
Podcast Overview
Welcome to the Fringe Lines Podcast, where we dive into the world of cloud computing, cryptocurrency, and cybersecurity—an umbrella that lets us explore everything we care about Hosted on Acast. See acast.com/privacy for more information.
Language
🇺🇲
Publishing Since
4/16/2025
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12
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality24
Social0
YouTube0
Engagement0
6
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12
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excellent
Episode Length
31 minutes
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Every 9 days
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Recent Episodes
July 3, 2026
SaaS Is the New Cable: The Great Unbundling, AI Agents in Slack, and Why CAC is expensive now
Doom and Quinn discuss why paid advertising is getting more expensive as AI enables advertising at scale without increasing the supply of prospects, driving CPCs up and reinforcing that customer acquisition will not get easier. They argue “software is the new cable” amid a great unbundling: cheaper building and AI tooling make long-tail, niche SaaS viable, likely increasing total software spend and benefiting hyperscalers, while CFO consolidation pressures persist. They cover GTM engineering momentum, agentic workflows in Slack (including Claude Tag) and vendor lock-in via institutional knowledge, plus headless GTM stacks and productivity gains that don’t replace AEs. They note software’s post-2021 reset, the difficulty of going from $0–$1M ARR, and a consulting/services “golden age” as companies struggle to implement AI. Ramp data suggests no “SaaSpocalypse,” with Figma, HubSpot, and AI-native Attio still growing. 00:00 Ads Getting Pricier 01:01 AI GTM Headlines 04:16 Claude Tag Lock In 06:47 Software New Cable 09:44 Fragmentation And Micro SaaS 12:54 Acquisition Never Easy 14:48 Clay Ads Retargeting 18:42 DIY Data Tools 22:18 Golden Age Consulting 28:30 Who Wins SaaSpocalypse 30:49 Wrap Up And Subscribe
June 30, 2026
Rise of GTM Engineers, the Age of Hyper-Personalization, and the New AI Pricing Loop
Doom and Quinn discuss trends in AI and go-to-market, including Frontier model updates (notably prompt retention changing to 30 days), massive capital raises (Google, SpaceX, and anticipated AI funding), tightening budgets, and the push toward agentic security. They focus on the rise of GTM engineers as roles collapse into technical, full-cycle sellers, debating where this works (e.g., Clay) and where it doesn’t. They explore enterprise knowledge graphs that ingest email, Slack, and meeting notes, noting potential “internal slop,” and share a workflow that turns a long proposal into an interactive HTML site with revenue sliders, plus hurdles like hosting and deployment. They review a McKinsey study of 4,000 buyers showing winners outperform laggards via hyper-personalization, AI, and ABM governance. They also cover a framework contrasting frontier vs saturated tasks and public vs private data, Harvey/Fireworks cost routing, and Satya Nadella’s view that pricing cycles between seats, consumption, and outcomes, ending with commentary on Jeff Bezos’s new engineering-focused AI startup. 00:00 Cold Open Banter 00:59 AI Headlines Roundup 04:03 GTM Engineer Debate 07:01 Sales Automation Matrix 09:04 Knowledge Graph Slop 10:13 Interactive Proposal Demo 15:10 Reticular Activator Story 17:42 McKinsey ABM Shift 24:10 Private Data Moat Framework 28:10 Harvey Fireworks Margins 31:20 Enterprise Adoption Limits 33:56 Pricing Models Go Circular 35:25 Bezos New AI Bet 37:07 Wrap Up And Sign Off
June 12, 2026
AI Moats Shift to the Harness: Token Costs, Multi-Agent Workflows, and Headless GTM
Doom and Quinn discuss how AI tools still require subject-matter expertise to produce high-quality outcomes, citing an AI-made Cannes film that cost $500K and required ~3,000-word prompts and film know-how. They explore “harness + model” as the new differentiator, the shift of buying decisions from models to runtime/orchestration, and rising pressure to manage token spend through routing, caps (e.g., per-engineer budgets), deterministic workflows, and multi-model creator/editor review loops. They cover news including Microsoft’s increased focus on its own models, OpenAI’s Codex and prosumer pivot, Anthropic’s credit/token plans, and Salesforce Agentforce surpassing $1.2B with 205% YoY growth. They question usage-based ARR claims, highlight the need for telemetry/observability and forward-deployed engineers, and note opportunities for FinOps-like optimization layers in AI. 00:00 Skills Still Matter 01:28 Omni Demo Setup 02:19 Comic Book Experiment 03:23 AI News Headlines 07:21 AI Film Harness Moat 09:25 Token Spend Reality 12:38 Comic Result Reveal 13:40 GTM AI Workflows 19:55 Multi Model Routing 26:58 Selling Electricity Debate 29:17 Headless Agents Future 32:46 Wrap Up Next Week
36 total episodes available
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Frequently asked questions
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This podcast updates daily.
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This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
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