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JobSnaps

@JobSnapsAI

Connecting talent and companies through insights, not resumes. Private Beta now live on Telegram👇

Sumali Ekim 2024
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Arnav Bhardwaj
Arnav Bhardwaj@Arnav_ct·
The question every founder is sitting with right now is some version of: what happens when Anthropic or OpenAI decides to do what we do? @apierriPMM 's answer was a fascinating one on our latest episode. Specialization is the only asymmetric lever a small company has. Not better technology. Not faster iteration. The kind of specialization that makes a vertical so narrow and so deeply served that it becomes genuinely uneconomical for a large model company to follow you into it. Lovable had a defensible position: build apps. It was specific, it was understood, and it was the thing that distinguished Lovable from general-purpose foundation models. Then the company announced it was adding AI agents and chat, moving toward direct competition with Anthropic and OpenAI on their own terrain. His read was immediate: "You guys had a great run. It's over." His logic is that a startup competing horizontally against a foundation model company is competing on the dimension where the foundation model company has the most resources, the most data, and the clearest scale advantage. A startup competing in a vertical narrow enough that the foundation model company would need a dedicated team to serve it properly is competing where the big company cannot easily follow. We covered so many more brilliant insights on Zapier, DocuSign, Apple, the idea of pricing, the viability of category creation, and more.
Arnav Bhardwaj@Arnav_ct

Episode 41: Focus is The Moat to Survive The AI Apocalyse Anthony Pierri (@apierriPMM) is one of the foremost voices in product marketing, having worked with 400 SaaS companies focusing on the one document that reveals whether a team has actually agreed on its strategy, the homepage. He also argues that most SaaS is priced too high because founders overpromised to investors and then increased spending, forcing customers to subsidize the whole arrangement. The RB2B case makes this concrete: Adam Robinson's bootstrapped, single-feature product is doing $7M ARR while its VC-backed competitors, who buried the same feature inside enterprise platforms to satisfy investor expectations, are doing less. In our conversation, we get into: ✅How Focus is the only defensible position against an LLM ✅The Lovable mistake and why competing horizontally with Anthropic or OpenAI is a death sentence ✅Why RB2B is doing $7M ARR while VC-backed competitors with bigger platforms generate less ✅Why DocuSign's rebrand became a punchline inside brand positioning circles ✅How investor expectations push founders into pricing that customers end up rejecting Listen Now 👉 youtube.com/watch?v=89JTvI…

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Arnav Bhardwaj
Arnav Bhardwaj@Arnav_ct·
Episode 40: Most websites were already invisible before AI search became a thing. The copy was vague, the value propositions were circular, and the only people who made it through were determined enough to ignore the noise. Now those same websites are failing a second time. @tahneeperry has spent the last several years building agentic AI workflows, advising CMOs on AI adoption, and running training programs on applied AI for marketers. Tahnee’s take is AI scales whatever foundation you have, and if the person reviewing the output doesn't have deep enough domain experience to spot what's off, the brand degrades before any metric tells you something went wrong. Chapters 00:00 AI Automation and Workflows 03:26 Reliable AI Systems 05:58 Human Oversight in AI 08:57 Content Creation and AI 11:15 Mapping Customer Journeys with Content 13:30 Startups in AI Integration 16:11 AI in Enterprise Marketing 18:30 Resistance to AI Adoption 21:37 Skills for Junior Marketers in AI 23:59 Outbound Strategies with AI 26:15 Average Outputs in AI Content 31:35 Leveraging Stats and Research in Content 34:14 Optimizing for LLMs in Decision Making 36:39 Personal Workflows and Automation Full Episode👇
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Epicenter Podcast
Epicenter Podcast@epicenterbtc·
New Episode: Finding PMF in Building Yield for The Unbanked @torabyou, CEO of @moveindustries, joins @seb3point0 to discuss the radical turnaround of the Movement blockchain. After a tumultuous leadership change, Torab explains why Movement scrapped its complex L2 architecture to build a sovereign L1 focused exclusively on the Global South. They dive into the "Move is for Money" thesis, the integration of AI agents for 24/7 security audits, and why crypto must abandon what he calls"decentralization theater" to deliver real product-market fit through stablecoins and yield for unbanked populations. Topics 00:00 Intro & Context 04:15 The Movement Turnaround 09:30 Why Movement Pivoted 15:00 Overcoming Developer Friction 21:45 AI Agents for 24/7 Security Audits 27:10 The Global South 35:20 Currency Devaluation & The Demand for Stablecoins 42:15 The Move Alliance 49:00 Pragmatism vs. Decentralization  55:30 Bringing Yield to USD, BTC, and Gold Episode Links👇
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Arnav Bhardwaj
Arnav Bhardwaj@Arnav_ct·
"If you use AI to write emotional copy, you are effectively telling your prospects to go away." Talia Wolf (@TaliaGw) is the author of Emotional Targeting, a conversion optimization framework used for over a decade to help B2B brands understand why their customers actually buy. She's worked with everyone from project management tools (like @mondaydotcom) to enterprise SaaS, digging into the psychology that feature comparisons and pricing grids will never capture. In our conversation, we get into: ✅Why AI-generated copy has made every B2B website functionally identical ✅The logo swap test is one that most founders fail ✅How the buying journey has moved almost entirely off your website into Reddit, Slack, and Discord ✅Why your website is now a confirmation tool, not a persuasion tool ✅The difference between social image and self-image in B2B purchasing ✅Why scraping one Reddit thread and asking ChatGPT to analyze it gives you useless insights ✅What zero-click marketing means for how you measure conversions right now Watch now👇
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Arnav Bhardwaj
Arnav Bhardwaj@Arnav_ct·
Episode 38: Why Being an "AI Marketer" is a Massive Red Flag I sat down with @ollyjjones, a marketing veteran from @myosin_xyz and an advocate for marketers transitioning from generic AI tool users to actual system builders. He broke down exactly why the standard AI marketing approach, which focuses purely on efficiency, keeps output generic and at the 70th percentile, and what growth teams must do to be the best by linking AI implementation to a sound marketing strategy. We dive deep into the mechanics of the "Forward Deployed Marketer" and why traditional marketing agencies must evolve beyond billable hours, focusing instead on robust data hygiene and upskilling teams to survive the next two years of rapid industry shifts. Chapters 00:00 - Forward Deployed Marketer concept 05:25 - Efficiency vs. Quality 12:00 - Building Trust 15:26 - 30-Day Learning Roadmap 20:32 - Overcoming AI Resistance 27:11 - Evolution of Agency Economics 36:10 - Implementing AI in Data 44:48 - Overcoming the Pain Points 51:12 - The Final Playbook for Marketers Full Episode 👇
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Arnav Bhardwaj
Arnav Bhardwaj@Arnav_ct·
Episode 37: Why Everyone's Wrong About AI Killing Product Roles I sat down with @ttorres (Author of Continuous Discovery Habits), the godmother of product discovery, who has helped 100's of teams across the globe build products to scale. She broke down how the playbooks she's developed for continuous discovery are evolving, but not fundamentally changing, even in the era of AI. We also dove into exactly why the standard tech-Twitter prediction of "zero-human" software is "baloney" and what product teams must do to measure non-deterministic AI outputs. We analysed the mechanics of cognitive bias in user feedback and why, when you're dealing with AI answer engines, the human in the loop is more critical than ever to ensure actual value creation. Chapters 00:00 - The AI Reality Check 00:36 - The invisible trap in customer interviews 04:04 - AI in sales and customer empathy 08:45 - The "Agentic Buyer" delusion 13:44 - The rise of the Product Builder 16:30 - Solving context rot with AI retrospectives 22:20 - AI evals and non-deterministic product paths 28:42 - Navigating shiny object syndrome in startups Full Episode 👇
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Arnav Bhardwaj
Arnav Bhardwaj@Arnav_ct·
Episode 36: Marketing is Going Old School With AI I sat down with Beatriz Datangel Rodgers (Head of Product Marketing at Root), former PMM @PayPal, and an advocate for marketers becoming self-sufficient developers (not just vibe coders). She broke down how the playbooks she uses are evolving, noting that operators engineer their own tools instead of paying for new SaaS subscriptions. We analysed the mechanics of "AI slop" and why, when you're dealing with AI answer engines and context files acting as ruthless gatekeepers instead of humans on LinkedIn, traditional digital ads are losing to aggressive, experiential guerrilla marketing. Chapters 00:00 The Self-Sufficient Marketer 01:33 - Build vs. Buy 3.0 08:13 - Engineering your way out of AI slop 16:45 - The Incumbent Moat & Industrial Scale 20:41 - The return of guerrilla marketing 25:47 - Selling to the Agentic Buying Committee 32:35 - The Monday Morning Playbook Full Episode 👇
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Arnav Bhardwaj
Arnav Bhardwaj@Arnav_ct·
Episode 35: The Marketing Funnel is Dead, and AI Won't Save It I sat down with @ggiiaa (Co-Founder & Author of @forgetthefunnel), Pioneer of Customer-Led Growth, and advises top-tier PLG startups on how to actually build for value. She broke down how the playbooks she used working with companies like @sparktoro, @Bitly, and @SproutSocial, are evolving but not changing completely, even with AI. We also dove into exactly why the standard B2B inbound marketing playbook doesn't apply to the era of agentic commerce and what growth teams must do to survive the transition. We analysed the mechanics of "mercenary subscriptions" and why, when you're dealing with AI answer engines acting as ruthless gatekeepers instead of humans, only traditional SEO and website clicks no longer drive acquisition. Chapters 01:14 - Adapting marketing strategies 02:04 - Discovery and customer mapping 04:48 - Deep customer understanding 06:14 - AI discovery challenges 08:50 - Limitations of AI in customer interviews 10:21 - Future of customer experience 13:37 - Consistency in customer experience principles 18:34 - Customer knowledge graphs 22:41 - Mercenary subscription economy 25:35 - Solving critical customer problems 32:33 - Positioning and messaging focus 38:13 - Reassessing customer value proposition 44:58 - Combining research with AI 50:29 - Five-move plan for marketers 54:17 - Importance of authentic customer interviews Full Episode 👇
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The GrowthStack
The GrowthStack@thegrowthstack_·
Product design in the future isn't about playing it safe. Full Episode 👇
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The GrowthStack
The GrowthStack@thegrowthstack_·
There are no silver bullets in growth hacking - from the man who wrote the book on it
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Arnav Bhardwaj
Arnav Bhardwaj@Arnav_ct·
Episode 34: Product Led Growth is Dead, This is Replacing it I sat down with @AnujAdhiya, who is an Expert in Residence at @Techstars, wrote the book, and built the growth hacking to what it is today. We broke down exactly why the standard Product-Led Growth playbook doesn't apply to AI-native products and what growth teams must do to survive the transition. When you're dealing with AI agents instead of humans, clicks and sessions no longer measure value. We dive deep into the mechanics of "learning velocity" and why the best growth leaders today are building armies of AI agents. Chapters 00:00 Introduction to Growth Hacking and Anuj's Journey 05:13 Hypothesis Testing and Assumption Mapping 10:39 Navigating Founder Ego and Conviction 15:30 Acquisition Strategies in the AI Era 20:41 Redefining Metrics for AI Products  Full Episode👇
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Epicenter Podcast
Epicenter Podcast@epicenterbtc·
New Episode: Bringing All Your Assets to Crypto? @chriseyin, CEO of Plume Network, joins @seb3point0 to argue that the first wave of RWAs failed because it tried to bring blockchain to TradFi instead of bringing the real world to crypto. He discusses how @plumenetwork is building an L1 specifically for RWA composability, turning illiquid assets into yield-bearing DeFi. Finally, they tackle how to build a global market that maintains "ball control" for crypto natives as the institutions arrive. Topics 00:00 The RWA Buzzword 05:15 From VC to Founder 10:30 Why Most RWAs are Worse On-Chain 16:00 Stablecoin as the North Star 24:45 Why Build a Custom L1? 33:20 Tokenizing Brazilian Credit & Oil 42:15 The "Serial Ape" vs. The Institutional Era 51:40 Why TradFi Assets Aren't Loopable. 58:30 Preserving Crypto Principles in a Regulated World Episode Links👇
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JobSnaps
JobSnaps@JobSnapsAI·
Growth folks need to study this episode not just listen to it
Arnav Bhardwaj@Arnav_ct

Ep33: The 2026 Growth Debate - Power Citizens vs. Hostages Summary In this clash of philosophies, I’m joined by @kryptoJinJin (Co-founder of @NozomiNetwork; ex-@Immutable, @animocabrands) to dissect why Web3 retention is broken, and the "airdrop-to-dump" cycle is over. We debate and reveal how the agentic shift in discovery and acquisition collapses the user journey from five steps to a single step. Why and who needs to watch this: For founders and marketers fighting mercenary capital, learning to build "un-churnable" ecosystems before AI agents hijack your discovery funnel. Chapters 04:12 Why even Animoca & Immutable struggle with "leaky buckets." 12:45 Power Citizens: Moving users from "Yappers" to committed "Investors." 22:10 The Sequence: Does the vision, the product, or the token come first in 2026? 31:50 The Hostage Model: Using Web2 "switching costs" to force Web3 loyalty. 42:15 The Agentic Shift: How AI is rewriting the rules of project discovery. More alpha👇

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Arnav Bhardwaj
Arnav Bhardwaj@Arnav_ct·
Most growth advice still assumes the buyer is a person. Scrolling, comparing, feeling persuaded. That assumption is starting to break. This article is the continuation of my Lock-In series, and it’s the core theme I think will shape the 2026 playbook for growth in tech startups. What happens when buyers stop being human? When discovery runs through AI agents. When products get chosen through legibility, verification, and immediate usability. When trust comes from structured signals a machine can read, rather than a story a person has to interpret. The next era of growth will reward teams who build for agent selection from day one. Sharing the full piece here if you’re building in that direction👇🔗
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Epicenter Podcast
Epicenter Podcast@epicenterbtc·
New Episode: Ending Ethereum Censorship with FOCIL (EIP-7805) @soispoke, researcher at the @ethereum, joins @tw_tter to explain how FOCIL (EIP-7805) reclaims Ethereum's neutrality from centralized block builders. Thomas details how MEV centralized block production leaves just a few actors controlling over 85% of Ethereum's blocks, creating a dangerous bottleneck for censorship, and how FOCIL addresses this. They explore the risks of "silent censorship" for competitive or regulatory reasons, and the future of Ethereum's roadmap towards the Osaka fork, including trade-offs between inclusion lists and encrypted mempools. Topics 00:00 Intro & FOCIL 04:15 MEV & Centralization 09:30 The Builder-Searcher Pipeline 15:00 Silent Censorship Risks 21:45 FOCIL Architecture & Committees 27:10 Validity Rules for Attestors 35:20 Spam Protection & Invalid TXs 42:15 FOCIL vs Encrypted Mempools 49:00 EIP-7805 Status & Fork Timelines 55:30 Future: PQC & ZK EVM Episode Links👇
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Epicenter Podcast
Epicenter Podcast@epicenterbtc·
New Episode: How Will Stablecoins Replace Traditional Banking @zcabrams, CEO @Stablecoin, joins @tw_tter to discuss why stablecoins are the first "economically rational" winner in payments over the last decade. He explores how Bridge (now acquired by @stripe) is building the bridge (no pun intended) to turn stablecoins into the primary global payment infrastructure and move it beyond mere trading and into core financial services. Notably, they dive into why the current stablecoin duopoly (USDC/USDT) hinders adoption via high fees and why the next phase of fintech will see wallets replace traditional bank accounts entirely. Episode Links 👇
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