2.0 saastr.ai is here, and it's still free: AI co -pilot is waiting for every B2b founder
139,156 After the conversation, millions of interactions, and the opinion of thousands of founders of our community, we have rebuilt saastr.ai.
New saastar.ai 2.0 Can:
- Improve your sales pitch Trained at 1,000+ successful B2B pitches with real -time views
- Review VP candidates together By analyzing a cultural fit against resume, interview notes, and proved scaling framework
- Test your financial model 20+ years with sauce data -based scenario plans
- Place your VC pitch on the surface We have tracked using insights from $ 50B+ in funding rounds
- Create Sales Camp Plan It actually operates your behavior (not those who remove your margins)
- And a lot of something That we are still discovering ourselves
Try it now saastr.ai – Because every minute you are not using AI, your B2B company is a minute in which your competitors are moving forward.
Why is this great And why b2b founders and execution – it often gets better than chat GPT
We could just add some chat GPT rapper and call it “Ai”. But if you are in B2B, what we have done is much better. You get everything from LLMS… as well as all the sauser's collection wisdom, and all its content, speakers and more.
Training data that makes it epic
Saastar.ai 2.0 is trained on 20,000,000 words of saastar content and 1,000+ words of B2B's best leaders. The depth and expansion of the real problems of the founders that we have eaten:
- Every pitch deck tear From our events (who increased m 500m+, and those who did not do)
- The actual revenue data From 2,000+ sauces companies to $ 0 to $ 1b+ arr at each stage
- Actually rented disasters and wins From the hundreds of scaling to the conversation
- Comp plan math It works (and 47 versions that don't do)
- VC Feedback Transcripts 800+ VCS who have deployed B 10B+ in B2B
These are not ordinary business suggestions. It recognizes the pattern from B2B Scaling Intel's largest dataset on the planet.
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This is free for Saster community
We have put the limits of abuse, but that's it right now.
Our AI is now making product recommendations and many other things we never expected. When the founders succeed using our AI, they remember where they have helped. They come to the annual year. They invest in our portfolio companies. They become speakers and guardians of the next generation.
Free customer acquisition strategy is not. This is the investment strategy of the ecosystem.
Original exam: Does it actually work?
The numbers do not lie. Since launch saastr.ai, we've seen:
- 34,000+ founder conversation Only in the first month
- 94 % of users They say that he has given them viable insights. He could not find anywhere else
- 67 % return use rate Within 7 days (more than most paid B2B tools)
- Average session length: 23 minutes (People don't spend 23 minutes with bad AI)
But here's the thing to confirm the 2.0 point of view: People are asking our AI about sensitive topics that they will never bring with me or with our team. “I'm thinking about leaving” or titles like a deep personal founder's struggle.
This product market is not just fit. This is the confidence in the scale.
Use matters that put us in the most surprise
We expected Saastar.ai 2.0 to ask the founders about fundraising and scaling. And they do. But the issues of breakout use are quite different:
1. The trend of “digital co -founder”
Our fastest growing portfolio companies had provided feedback on their investment memo by all board members and investors-and AI won.
We literally bring the founders “Digital Jason” in the important decisions of board meetings, strategy sessions and the important decisions. Not as an alternative to human decision, but as a voice we have remembered everything we have learned about what works and not.
2. Sales pitch surgery in real time
Upload your pitch deck, paste your email access, or just describe your value prop, and saastar.ai 2.0 just doesn't give you a general opinion. It shows you:
- Exactly where Similar companies failed to position their position
- Specified tongue It closed deals in your phase and industry
- Competitive discrimination Angles on which you have not considered
- Pricing Psychology Errors that eliminate the conversion rate
3. The diagnosis of VP candidates who actually predict success
It blew our minds. The founders are asking saastar.ai to evaluate the entire candidate profiles – resume, interview notes, reference calls – and cultural and ability fit.
AI does not just check the boxes. This is a model against the documentary transfer to thousands of scaling companies. It flags the right red flags that remembers human intuition and highlights unconventional powers that can be a game changer.
Technical architecture that makes it possible
Here is what Sastr.Ai 2.0 makes it mainly:
Context that compounds
Every conversation improves every future conversation – not only for this user, but for every founder of our community. When someone asks about the positioning of the series, the AI learns from every similar conversation, maintaining complete privacy.
Real -time education that actually works
When I see an error (such as, AI got the dates for Sister Europa 2025, which is probably because we have not yet launched it so it is “guessing”), I just make a quick sound note and the model is almost updated. And turns away from deception.
This is not ideological. AI is better on the basis of real founder feedback.
Multi Moodle input processing
Upload documents, paste links, describe verbal conversation, share the spreadsheet.
What every B2b founder should do right now
Stop reading this post and try saastar.ai 2.0. Seriously
But when you do, don't just ask the general questions. Here are the indicators that are creating the most advanced insights:
For sales leaders:
“Here is our current sales pitch deck. We are turning 12 % of the qualifying demo into closed deals. Show me what is broken and how to fix it, based on companies that have solved similar conversion problems.”
For the Fundraising founders:
“I am increasing a series A in Q2. Here we have a deck (upload), our financial model (upload), and our competitive landscape (paste). What will be the 3 biggest objections to the VCS, and what specific evidence does I need to overcome?”
To scale CEOs:
“I need to rent the first VP of my sales. Here is our current income path (statement), the complexity of our products (description), and our target market (detail). What profile should I get, how much I should pay for them, and what red flags should I see?”
For product strategies:
“We are discussing our roadmap priorities for 2025. Here users are demanding for the list, here are our technical obstacles (explanation), and here we have competitive pressure (describe). Help me set this roadmap for more and more business effects.”
This is your S -Terus sauces mentor
Think about this for your app, if you haven't gone to the AI. What if your competitor can easily handle millions of interactions in a month? Automatically make all the workflose that is not automatic today?
Saastr.ai 2.0 is not just a tool for the use of founders. This is a proof of what every B2B company should build.
We are a team of 5 people who now handle the founding conversation than 100x teams in our size. Before the AI, we might answer a handful of email -based issues, and some chats. And we cannot directly provide any advice of 1-on-1.
Now? We are simultaneously providing personal advice to scaling to thousands of founders, with quality often obtained in a $ 500/hour consultative session.
If we can do this with community content and event recording, imagine what you can do with your original product data, customer conversation, and domain skills.
Competitive implications are not talking about anyone
Here is what keeps me at night (good): We have democratic access to world -class B2B scaling knowledge.
For the first time in Mumbai, the founder now has the same access to the B2B framework as a Serial Entrepreneur with 20 -year -old Silicon Valley Networks. A bootstream company in Ohio can test its pricing strategy against the same figures that use a billion dollars of unicorn.
This has put the playground at an extraordinary way. Geographical benefits are less. The effects of the network become less important. The important thing is that the speed of implementation and the willingness to learn from the strategy of the entire B2B environmental system.
But here is the flip side: if All Access to the best methods, extraordinary implementation competition dramatically intensifies. The founders who combine insights with the help of AI with global implementation will go away from the pack more faster than ever.
Ai is not coming. It's here.
The AI revolution is not coming. It is already renewing how the smartest founders work.
The question is not whether AI will change B2B. The question is whether you are leading this change or will you turn around to catch it.
Saastr.ai 2.0 is free, it's straight, and it's waiting for you to test its limits.
Go break it Press much harder than you think it can handle. Ask him questions that keep you awake at 3 in the morning. Upload the documents you are afraid to show to investors. Check the strategies you are not sure about will work.
Because every minute you just learn that is a minute in which you are ahead of every founder who is still waiting for someone else to find out.
Try saastr.ai 2.0 on saastr.ai
And when it helps you close this deal, get its services, or fix this broken process, remember: It's just the beginning.
The future of B2B is that of the founders who learn faster. Ai just made the learning faster.
Ps -We are hosting Saster A London on December 2-3 and on May 12-14, 2026, Saster's Annual + AI Summit. Let's see what the future of B2B looks like when the founders, executives and investors of 10,000+ are gathered to find out. The pricing of the initial birds soon expires.
