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Noodle Seed is a No-code platform for creating branded AI apps that surface businesses in AI chat interfaces.
OS Ninja is an AI-guided learning platform that turns open source repositories into interactive code exploration experiences.
FlowGenie is a no-code platform for building forms and automations with a visual, node-based workflow editor.
The role of leadership is changing. Pure leadership and management are no longer a full-time job. The future will see more seniors and executives working as part-time individual contributors. Vibecoding is a great way to experience the balance. Company leaders can't afford to miss out on this skillset.
Before electrification, light was scarce and expensive. When it became cheap, people stopped thinking about the cost of turning on a switch. We're at the same moment with AI agents. Services that cost hundreds of thousands will cost tens to hundreds. The current agency model and vertical SaaS both rely on friction that's disappearing. If the cost of production drops to near zero, price must follow.
X is offering $1M for the top article posted in the next two weeks.
Tactical thread on doing things that don't scale and why monthly investor updates are the highest leverage thing he does.
Good scaling requires thoughtfully addressing the specific constraints a team is facing, evolving approaches as the team and organization change, and always keeping the focus on people and delivering value effectively.
The modern data stack works brilliantly for structured data, but businesses thrive on unstructured data, something AI excels in.
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Conversion rates plummet when you force customers to verify their identity again, and again... and again.
Job postings for forward-deployed engineers are up 800% this year as startups copy the model Palantir pioneered. However, most companies copying the aesthetic are setting themselves up to become expensive services businesses with software valuation multiples. Palantir works because there's a real platform underneath the bespoke work. If you only copy the embedded-engineer part without a strong product spine, you end up with Accenture for X with a nicer front-end. The question isn't how we become Palantir - it's what's the minimum forward deployment we need to bridge the AI adoption gap, and how quickly can we convert that into a platform business.
OpenAI plans to test ads in ChatGPT's Free and Go tiers while keeping model responses independent from advertising. Ads will appear as clearly labeled, separate units, and advertisers will not access user conversations. Paid Pro, Business, and Enterprise tiers will remain ad-free, preserving a clean experience for paying users.
The business model for software will have to evolve. Enterprise systems will have to support a more consumption and usage-based model as AI agents don't cleanly fit seats on software. There will likely continue to be seats for users within software, with AI agents paying more for extended usage. A lot still needs to happen before we fully see what the future holds for enterprise software.
Last year, there were 1,800 pricing changes across 500 SaaS companies, and the fastest-growing ones are updating pricing multiple times per month. If you aren't used to iterating on pricing, that probably feels daunting. This post breaks down a new book on the topic with three core ideas. First, PLG and SLG don't compete, they compete with each other. Second, pricing metrics must pass two tests: would the customer feel you've earned more of their wallet as usage scales, and can a new sales rep explain it in 15 seconds without slides? Third, limits are the connective tissue of GTM.
If you don't have firsthand customer intuition, you will only build the right thing if you get lucky on the millions of decisions it takes to build a great product. Last year, forward-deployed engineers were all the rage. In 2026, the goal should be to forward deploy everyone. The GTM founder talks to customers, tries to explain what they learned to the technical founder, and something gets lost in translation. That cycle repeats with more formal writeups, more prototypes, more frustration. Translation errors compound until you're building something nobody wants.
Kling is a self-hosted email marketing tool.
Extract colors, fonts, images, and animations in one click.
Sled is an open-source mobile voice interface that lets users control local AI coding agents securely from their phone without code leaving their machine.
Humans used to be the connective tissue between systems of record. You'd grab information from Systems A and B, use it to update System C, then take action. Now agents do that work. This creates a problem for legacy SaaS. Existing systems of record work great in their own domain, but have no access outside it. If you're building right now, the opportunity isn't competing with legacy SaaS, it's the layer that sits on top.
Zapier's CEO, Wade Foster, shares how he integrates AI directly into Zapier's operations. His personal AI stack includes using Grok for talent discovery beyond traditional channels and developing interview evaluation agents. He emphasizes hands-on AI experience for leaders, encouraging experimentation and defining clear AI fluency expectations for roles.
Three separate VC seed deals in 2025 where the founders simply decided to keep the money for themselves and not build the product.
AI is transforming the traditional to-do list into a "done list" by completing tasks typically involving code, design, and other middle stages.
Discord filed for an IPO, marking a shift in how tech firms are valued.
The pressure you put on yourself can make you start to operate in a way that is counterproductive, even if you think you're doing what you think is best.
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What's changing is how new startups get built.
YouTube launching in 2005 didn't seem to fill an obvious content gap. Two decades later, it's a $550bn business more culturally relevant than traditional TV. The same long-tail creation wave is happening for software right now. Before LLMs, most apps never got built because the barriers were too high. Now the time from idea to working app has compressed from weeks to hours. The addressable market for builders just expanded dramatically. You don't need to be "interested in software" to build software. You just need to be interested in good ideas.
Reddit posts drive rapid MRR growth when founders build credibility first, share stories, and bury links, generating thousands in revenue from a single post. TikTok and Instagram slideshows copied from high-performing content, enhanced with AI-generated images and concise text, can hit millions of views in days without hard selling. Targeted DMs in Discord, Slack, and Reddit convert 10–25% of prospects by providing tactical help first, while competitor-alternative posts and optimized onboarding turn traffic into paying customers.
The "Speedrunning the Idea Maze" course revealed that introducing key concepts like Effectuation earlier enhances students' ability to compare entrepreneurial cases effectively. The course also found that shifting to video-based content improved engagement, prompting plans for more asynchronous formats like podcasts. Effectuation, a strategy integrating affordable loss bets and stakeholder partnerships, reframes entrepreneurship as less risky and emphasizes cognitive transformation over traditional learning methods to enhance real-world application.
Sam Lessin, a partner at Slow Ventures and former Facebook VP of Product, emphasizes the importance of etiquette for Silicon Valley founders to build trust as technology becomes more central. He offers an etiquette book and courses to help founders manage social interactions and maintain composure in any setting. The content covers techniques for introductions, small talk, meetings, and resolving awkward social situations.
remio 2.0 is an AI tool that captures and organizes your work into a searchable, context-aware knowledge base.
Vellum is an AI platform that creates agents from plain-English instructions to automate tasks on a schedule, via API, or through a UI.
Clodo is a “Vibe GTM” platform that enables you to execute your outbound ideas at the speed of thought.
Scott Fearon's "Dead Companies Walking" outlines six common mistakes leading to company failures: relying solely on past strategies, sticking to one success formula, misreading customer needs, succumbing to hype, failing to adapt, and being detached from operations. The rapid transition from SaaS to AI intensifies these issues, as businesses struggle with outdated sales strategies, unmet AI demand, overhyped products, and leadership disconnected from fast-paced technological changes. Understanding these pitfalls is crucial in the current AI-driven market landscape.
Most founders take advice wrong. They ask for solutions when they should be asking for diagnoses. The person giving you advice will probably be right 50% of the time on solutions, but they'll nail the actual problem because problems don't vary as much as solutions do. Pick a topic where you have ideas but not conviction, find 4 people who've done it, and cold message them with a specific question. Before every call, write a one-pager summarizing where you are and what you want to ask. This is the single most important thing.
The cost of doing is approaching zero. The benefit of deciding is higher than ever. We are the bottleneck now. AI is too fast, too good at building. The skill that matters is shifting from execution to orchestration. Founders don't need to be operators anymore. They need to be systems architects.
These are the signals that make smart angels walk away.
Incredible amounts of revenue can be generated from companies improving their processes and data enabling improved models.
Proto-markets are evolutionary precursors to markets where demand exists but selection and speciation have yet to take hold.
Ego and fear of judgment keep us in the realm of certainty, where we are comfortable.
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Plaid achieved their best-performing direct buy to date, adding $382k in pipeline, earning 70 leads, and achieving 20.1x ROI. This case study breaks down their strategy, results, and example ads. Read the
Google has long tried to take profit away from lead gen marketplaces. OpenAI is now going for that pool with ChatGPT. Its technology makes search much better by understanding intent, and it can transact on users' behalf, allowing the company to push further into the marketplace stack than Google and do everything a transactional marketplace can. Many marketplaces will come out of this transition just fine.
Different teams can use the same model but get different results. The context is now the moat. Context is the structured knowledge that helps models understand specific situations. Good context results in better outputs, which can, in turn, improve context for future runs.
Traditional distribution channels are falling apart. SEO is getting killed by AI slop and people going straight to ChatGPT for answers. Paid search costs are skyrocketing. Corporate social gets no juice from the algorithm. What's working now is employee-led social, creator partnerships, and community-driven growth. They all feed into word of mouth. On the retention side, AI is commoditizing the value props most SaaS companies were built on. If your pitch is "faster than the manual approach," you're now competing with something that costs $20/month. When capabilities get commoditized, users stick with products they trust.