@jasonlk and Saastr are a great case study in rebuilding around AI Agents. Tho I'm starting to believe the reason some incumbents will lose market share is that while they learn to rebuild their companies, the ones built natively with AI-Agents will capture gains & share.

75 places to get backlinks for startup: 1. Chrome Web Store (DR 99) 2. Forbes (DR 94) 3. GitHub Pages (DR 97) 4. TrustRadius (DR 84) 5. AlternativeTo (DR 79) 6. SourceForge (DR 92) 7. Gumroad (DR 92) 8. Substack (DR 93) 9. Indie Page (DR 67) 10. Privacy Tools (DR 79) 11. OSS Gallery (DR 29) 12. Yelp (DR 94) 13. Alternative Me (DR 74) 14. SaaSHub (DR 78) 15. HubPages (DR 87) 16. YourStory (DR 85) 17. Medium (DR 94) 18. TrustMRR (DR 66) 19. Crunchbase (DR 99) 20. SEO Wins (DR 27) 21. GitHub (DR 97) 22. Imgur (DR 99) 23. Pinterest (DR 96) 24. Flickr (DR 94) 25. Pixabay (DR 92) 26. Pexels (DR 92) 27. Reddit (DR 95) 28. Quora (DR 92) 29. Goodreads (DR 92) 30. Tiny Startups (DR 50) 31. Hackernoon (DR 87) 32. TinyLaunch (DR 71) 33. Hacker News (DR 91) 34. Foundr (DR 76) 35. The Hustle (DR 79) 36. GrowthMentor (DR 72) 37. DZone (DR 84) 38. Smashing Magazine (DR 90) 39. Product Hunt (DR 91) 40. BetaList (DR 75) 41. MakerPad (DR 67) 42. StackShare (DR 79) 43. PeerSpot (DR 73) 44. Toolify AI (DR 73) 45. WIP (DR 55) 46. Vocal Media (DR 82) 47. TechCrunch (DR 92) 48. VentureBeat (DR 90) 49. Starter Story (DR 85) 50. Niche Pursuits (DR 73) 51. Founder Reports (DR 57) 52. Milestones (DR 26) 53. Boring Cash Cow (DR 26) 54. Micro Founder (DR 36) 55. Failory (DR 74) 56. Revenue Memo (DR 37) 57. Latka (DR 72) 58. Builder Society (DR 39) 59. Indie Niche (DR 93) 60. Indie Hackers (DR 80) 61. Fandom (DR 92) 62. Hashnode (DR 83) 63. Mixergy (DR 75) 64. First Round Review (DR 81) 65. Blogger (DR 94) 66. AppSumo Blog (DR 83) 67. WikiHow (DR 91) 68. DevTo (DR 90) 69. SaaStr (DR 77) 70. FounderPass (DR 52) 71. Entrepreneur (DR 91) 72. Indie Bites (DR 34) 73. SaaS Club (DR 59) 74. My First Million (DR 62) 75. Wikipedia (DR 97)

75 places to get backlinks for startup: 1. Chrome Web Store (DR 99) 2. Forbes (DR 94) 3. GitHub Pages (DR 97) 4. TrustRadius (DR 84) 5. AlternativeTo (DR 79) 6. SourceForge (DR 92) 7. Gumroad (DR 92) 8. Substack (DR 93) 9. Indie Page (DR 67) 10. Privacy Tools (DR 79) 11. OSS Gallery (DR 29) 12. Yelp (DR 94) 13. Alternative Me (DR 74) 14. SaaSHub (DR 78) 15. HubPages (DR 87) 16. YourStory (DR 85) 17. Medium (DR 94) 18. TrustMRR (DR 66) 19. Crunchbase (DR 99) 20. SEO Wins (DR 27) 21. GitHub (DR 97) 22. Imgur (DR 99) 23. Pinterest (DR 96) 24. Flickr (DR 94) 25. Pixabay (DR 92) 26. Pexels (DR 92) 27. Reddit (DR 95) 28. Quora (DR 92) 29. Goodreads (DR 92) 30. Tiny Startups (DR 50) 31. Hackernoon (DR 87) 32. TinyLaunch (DR 71) 33. Hacker News (DR 91) 34. Foundr (DR 76) 35. The Hustle (DR 79) 36. GrowthMentor (DR 72) 37. DZone (DR 84) 38. Smashing Magazine (DR 90) 39. Product Hunt (DR 91) 40. BetaList (DR 75) 41. MakerPad (DR 67) 42. StackShare (DR 79) 43. PeerSpot (DR 73) 44. Toolify AI (DR 73) 45. WIP (DR 55) 46. Vocal Media (DR 82) 47. TechCrunch (DR 92) 48. VentureBeat (DR 90) 49. Starter Story (DR 85) 50. Niche Pursuits (DR 73) 51. Founder Reports (DR 57) 52. Milestones (DR 26) 53. Boring Cash Cow (DR 26) 54. Micro Founder (DR 36) 55. Failory (DR 74) 56. Revenue Memo (DR 37) 57. Latka (DR 72) 58. Builder Society (DR 39) 59. Indie Niche (DR 93) 60. Indie Hackers (DR 80) 61. Fandom (DR 92) 62. Hashnode (DR 83) 63. Mixergy (DR 75) 64. First Round Review (DR 81) 65. Blogger (DR 94) 66. AppSumo Blog (DR 83) 67. WikiHow (DR 91) 68. DevTo (DR 90) 69. SaaStr (DR 77) 70. FounderPass (DR 52) 71. Entrepreneur (DR 91) 72. Indie Bites (DR 34) 73. SaaS Club (DR 59) 74. My First Million (DR 62) 75. Wikipedia (DR 97)

Ok what's SaaStr AI Agent playbook? We've put it all together in a NEW eBook. All the vendors, all the workflows, all the metrics, how it all works. Grab it here -> saastr.ai/ai-agents-playbook

We're entering the 'post-software' era. Agents can now create applications invisibly, blurring the line between talking to an AI and using software. This rapid change is happening within 18-24 months. #AISoftware #FutureTech

SaaStr AI 2026 showcased the shifting landscape of B2B budgets, with lead generation becoming the ultimate metric of success. For startups, understanding where the most engagement lies can inform your own outreach strategies. Focus on #Forfis #Startups #SaaS

Anthropic went from $87 million in revenue to $30 billion in 27 months. No technology company in recorded history has grown this fast at this scale. Not Salesforce. Not Slack. Not Zoom. Not Snowflake. SaaStr analyzed over 200 public software company IPOs and stated this growth rate has never been seen before in B2B software history. Here is the verified timeline, sourced from Reuters, VentureBeat, and Bloomberg. January 2024: $87 million annualized run rate. August 2025: $5 billion. December 2025: $9 billion. February 2026: $14 billion. April 2026: $30 billion. The company's own internal forecasts for 2026 projected $18 billion. Anthropic surpassed that as a run rate before Q2 began. CEO Dario Amodei said publicly the actual pace outstripped internal projections by a factor of eight. 80 percent of that revenue comes from enterprise customers. Over 300,000 businesses use Claude. Customers paying over $100,000 per year grew seven times over in a single year. Customers paying over $1 million annually scaled from a dozen to over 500. Eight of the Fortune 10 companies now run critical workloads on Claude. The single product driving most of the acceleration is Claude Code. It launched publicly in May 2025. It hit $1 billion in annualized revenue by November 2025. By February 2026 it was at $2.5 billion. Business subscriptions to Claude Code quadrupled in one month. Confirmed enterprise users include Netflix, Spotify, KPMG, and Salesforce. Anthropic filed confidentially for an IPO on June 1, 2026, at a reported valuation of $965 billion after closing a $65 billion Series H. The company was founded in 2021 by seven people who left OpenAI over disagreements about AI safety. Its first external funding round valued it at $4.1 billion. OpenAI projects $14 billion in losses for 2026. Anthropic projects positive free cash flow by 2027. The safer AI company turned out to be the more profitable one.

Inside the vertical this week: Nue ships deterministic AI into Salesforce CPQ. @saastr reframes data as product. #Technip #Airbus #Safran stand up a 160k t/y SAF JV at Dunkirk. Capital chases capability. Capability chases domain. The horizontal AI play is over.

Pretty Girl

The public markets spent the last twelve months telling you B2B software was finished. Stocks down 60 to 70 percent. PE firms buying nobody. For the first time in history, software trading at a discount to the S&P 500. And at the exact same moment, Anthropic is projecting $50 billion in revenue, Cursor is getting acquired for $60 billion, and SpaceX, Anthropic, OpenAI, and Databricks are about to generate more market value than every other IPO since 2000 combined. Both things are true - and which one defines your next 18 months depends entirely on one question: are you tired or are you wired? SaaStr CEO and Founder Jason Lemkin calls the market as he sees it, names who is winning and who is pretending, and makes the case that the Cambrian explosion in B2B is just getting started. You'll learn: - Why the SaaSpocalypse was never about B2B dying - it was about pre-AI software dying - and what the Palantir, Twilio, and Atlassian re-acceleration stories actually tell you - The four categories every B2B company falls into right now, and why category four founders need to stop pretending the recovery is coming on its own - Why vibe coding your CRM is dead as a concept, and what "putting deals on your calendar" actually means as a product strategy - Why your biggest near-term competitive edge might be two days of engineering work - making your API agent-friendly before your competitors do - What SaaStr's own journey from 20 humans to 3 humans and 21 agents teaches you about consistency as the only real cheat code in agents youtu.be/Pu4IERjQWaM?si=-FvR…

Smart focus on effortless AI powered onboarding.

If you're an Indian founder selling US, you'll fly to the US 4–6 times a year. Make each trip count. The 3-trip sequence that moves real deals: Trip 1 (Q1). Inbound week NYC Boston, 4 days. 12 customer/prospect dinners. No demos, just relationships. Plant seeds for Q2 deals. Trip 2 (Q2). SF / Bay Focus on a specific event (Saastr, conference, partner meetup) 8 buyer meetings around it. Highest-ROI trip if you pick the right event. Trip 3 (Q3 or Q4). Closing tour 3–4 cities, 6 deals in motion, you're flying out specifically to close them in person. What's NOT worth doing: random "meet a few people" trips with no deal-specific reason. Those become $8K vacations with PowerPoints. Plan trips around named deals or named events. Anything else, do remote.

The AEs getting replaced by AI aren't the ones you'd expect. Here is the data that should scare you 22% of sales teams have already fully replaced human SDRs with AI. The AI SDR market was $4.12 billion in 2025 and is projected to hit $15 billion by 2030, a 29.5% CAGR. Over $400 million in VC flooded into AI sales automation in the last two years alone. And only 42% of quota-carrying reps hit their number in 2025, despite companies spending more on sales tools than ever before. That last number is the one nobody wants to talk about. The tools are not the problem. Skill is the problem. An AI does not get tired. It does not forget the product. It does not push an unnecessary upsell because it needs to hit a number by Friday. And it costs a fraction of a human rep. @jasonlk with SaaStr Ai has been talking about this a lot lately on his podcast and linkedin. For high-volume, low-complexity deals under $10K, one-call closes, pricing page objections, the math is already working against you. I have been saying this for years. The reps who survive are the ones who can run a real discovery. Who understand business problems, not just product features. Who can navigate a multi-stakeholder deal, manage a champion, and close something that requires judgment. Here is what separates the reps who are safe from the ones who are not: 1. They prospect with intent, not volume. They know who they are calling and why before they dial. 2. They run discovery that uncovers real pain, not surface-level curiosity. PERFECT Discovery is not a script, it is a discipline. 3. They build relationships across the buying committee, not just with the person who picks up the phone. 4. They can run a deal cycle over weeks or months without losing control of momentum. I grew up in construction and a phrase we were taught is "the right tool for the right job changes everything" The same thing is happening in sales right now. The reps who are safe are the ones building craft that a machine cannot replicate. They're seeing AI as an integration partner to help them be more strategic with the limited hours they have. They're seeing AI as the right tool to leverage for the right part of their job. The reps who aren't safe aren't learning strategies to be more effective creating and running larger deals. They're throwing a prompt in an LLM like google. Which one are you?

Some key takeaways from Adam Mawdesley at SaaStr AI Annual. A few ideas from his talk that really stood out. And the conclusion was simple but powerful: magic impresses once, systems compound. Watch the full key takeaways clip below 👇🏻 and try our integrated AI commerce OS → hubs.ly/Q04gz7nn0

2025년 7월, SaaStr 창업자 제이슨 렘킨은 리플릿의 AI 에이전트에게 한 줄짜리 지시를 내렸습니다. “아무것도 변경하지 말 것.” 그런데 어느날 갑자기 프로덕션 데이터베이스가 사라졌습니다. 임원 레코드 1,206명분과 작업 레코드 1,196개가 순식간에 지워졌죠. hanbit.co.kr/channel/view.ht…

【緊急開催！一夜限りのAI最前線白熱トーク】 シリコンバレーのAIシフトは、熱量もスピードも別次元だった—— GCP工藤真由氏（@_mayumayu13）と弊社代表日下が、「SaaStr AI 2026」を経た熱量そのままに語ります！ 📅 6/24(水) 19:30〜 📍 市ヶ谷 （新宿区） 🎟️ 参加無料・交流会あり #SaaStrAI

10 learnings from my SaaStr AI 2026 deep dive with @amasad, CEO of @Replit: - Our two best employees now cost $254/mo - Context windows went 16K → 1M in 2 years - Replit built its own compaction. Says it beats the labs - Bugs should be deleted from context. Architecture should stay - Monorepos are a secret unlock for agent performance - The best cold email I've ever seen ran mostly on Haiku Mini - Our agent beat last year's human marketing, and the gap widened - Your 2nd and 3rd agent will be better than your 1st - Every company will end up with an internal AI "Oracle" - Replit improves itself nightly. A self-improving loop in production