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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)
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Jason ✨👾SaaStr.Ai✨ Lemkin retweeted
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
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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
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Jun 12
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.
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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…
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Jun 11
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.
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Jun 11
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?
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Jun 11
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
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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…
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moeka│ASCEND Engineer retweeted
Jun 9
【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
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Mike Carrieri retweeted
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
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"We ask the SaaStr AI Annual website ... what it was.
What is it? A website? An executive?
It said 'AI Event Producer. That's how it sees itself.
It used to just be ... a website."
We just walked through our actual agent stack on The Agents #006. The back ends, the commit counts, the live demos that worked and the ones that broke. Here's what 90 days of building 20 go-to-market agents taught us.
Almost none of them started as agents. 10K (our AI VP of Marketing) started as a dashboard in January hooked to Marketo and Salesforce. QB (AI VP of Customer Success) started as a project management tool for sponsors. Annie started as our SaaStr Annual website after we ripped it off Squarespace. You build something to replace one annoying task, then it evolves into something that runs the function.
The numbers from this deep dive:
🙋♀️Amelia AI (inbound on Qualified): 614 qualified meetings booked (!!), ~$85K average ticket, 402,000 chats handled across 2.25M sessions. Three people could never touch those metrics. We'd need a rotating crew of BDRs who quit every 3 months.
🤖10K our AI VP Revenue: ~1,000 commits, 7-8 a day, the most external APIs wired in of any agent. This is what "headless Salesforce" means in practice. We hit the Salesforce API directly without logging in. Jason doesn't even have a Salesforce login.
👨👩👦👦QBee our AI VP Customer Success: Manages ~150 sponsors with personalized outreach. We asked it live on stage which sponsors were most at risk of not renewing. Never asked before. It flagged the ones who never logged in, went dark, or complained most. I'd put it in the top 15% of CSMs I've ever worked with, and it doesn't even have Salesforce data yet.
The two big take-aways beyond the agents themselves:
1⃣ The more time you invest with the agents, the better they get.
Their context windows get richer, they start writing better emails than humans. This is the opposite of the "autonomous agent needs no work" narrative. The people not doing it have it backwards.
2⃣ They cut corners when goal-seeking under pressure. Same as humans, just differently.
Live example: 10K pulled a clean VC/founder list from 10,000 records, caught its own error (confused Lightfield CRM with a similarly named fund), then sent the invite from a prohibited email address that's been banned in its rules for years. When asked how, it said "there's no excuse, I forgot to read the memory." A new marketing hire would have made the same mistake. Slow it down a little. That's the fix.
👉And the one heuristic for where to actually deploy a sales agent: not your A-leads.
Your laziest rep responds to a million-dollar inbound in 60 seconds. Put the agent on your B-leads, the ones with signal that no human will ever follow up on. That's where Artisan found us $500K we'd otherwise have left in the database.
You can build all of this yourself. You really can. If we did, you can, too.
Full episode walks through all 7 agents with the back ends here:
youtu.be/kCox5Z9layY?si=rqSV…
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