Full-text search across article titles and summaries. Refine with sector, year, content type, and reading-time filters.
Sponsored
This week, Metronome (used by OpenAI and Anthropic) announced announced major updates [9]: SEAT-BASED CREDITS let you pool credits across teams or allocate individually. PLG INVOICING automates payment collection for self-serve customers. NATIVE CLOUD MARKETPLACE SUPPORT simplifies product launches across AWS, GCP, and Azure. Read the full
Todo2 is an AI-powered project manager for Cursor that helps developers research, plan, and execute projects without leaving their code editor.
Dualite is a local-first AI builder for mobile and web apps that keeps all your data on your browser while integrating design and code systems.
Vogent Voicelab is an AI platform for ultra-realistic text-to-speech, optimizing open-source voice models for fast, high-quality audio generation.
Modelbusters are companies that take advantage of a platform shift and the new business models that the shift makes possible. The TAM for these companies is much bigger than all the consensus estimates and financial models in the world can predict. When they catch momentum, they grow much faster than anyone would expect. A new generation of modelbusters is forming thanks to AI.
This spreadsheet contains a list of new VC funds at or below $200 million in size. Sorted by year raised, this resource is for founders who are raising capital. The more recent the fund was raised, the more capital the VC firm tends to have available for new investments.
Human data markets remain crucial for training advanced models.
If apps are the interface to software, then the narrative is the interface to your company.
This letter resurfaces two older essays that treat Palantir less as a startup and more as a political project.
Sponsored
AirOps' $40M Series B [4] helps brands get found (and stay found) in the AI era.
We're building tools & community that empower marketers to shape AI, not just react to it, ensuring their brands are cited accurately and chosen first.
The new SaaS Benchmarks report shows something odd: for all the talk about upheaval, most metrics barely moved. Early startups are re-accelerating, margins are compressing from AI costs, and bigger companies are quietly becoming profitable by hiring fewer people. Pair CAC payback with NRR, and you get the only matrix that actually predicts durable growth.
a16z breaks down whether AI is headed for a shale-style boom-and-bust or a Jevons-style surge where efficiency unlocks even more demand. AI usage keeps climbing — Google is already at 1.3 quadrillion tokens a month, a 50× jump in a year. Even as token prices fall, consumption keeps exploding, with every plateau shattered by the next model release. It looks far less like a capex bubble and far more like Jevons in action: cheaper AI is driving more demand, not less.
The fastest way for a software startup to grow is to pick the right growth levers for its current stage. This post provides 33 proven tactics for scaling. The tactics are sorted by revenue stage and owner, with each linking to a full playbook. What works at $300K ARR won't work at $3M.
How you price an AI IDE will depend on which subset of the market you are going after, what your long-term strategy is, and how you differentiate. Engineers will have large usage fluctuations, so startups need to price accordingly to insulate against that. The typical way of doing this is to charge users a subscription fee and bill usage on top of that. Companies are now making price changes several times a year just to keep up with shifting costs and adoption.
AI prototypes can turn speculation and pontification into evidence fast. It's as simple as building four versions of a flow in Bolt or Replit, pulling your real design system into Reforge Build, dogfooding it the same afternoon, and seeing where people actually hesitate or click through. The code is disposable, so there's no pretending it speeds up shipping. This technique exposes which ideas survive contact with reality.
Most founders think communication is a charisma problem when it's actually a fit problem. This piece breaks down personality message fit, a second kind of PMF where you stop mimicking “leader voice” and build around how you naturally think, talk, and react. It shows how to audit your baseline, prep with 30-second micro-clarity, read implicit feedback, sharpen your spikes, and tweak delivery like an experiment. Communication becomes a system you design, not a performance you fake.
Sponsored
Tool switching takes up 4 hours of the average worker's time. Vaiz [11] unifies tasks, docs, and everything else you use to keep your workday productive. Use the MCP integration to track every process and context with your AI agents! Get up to a 3 months free trial when you
Voicebun is an open-source, no-code platform to build AI voice agents for calls, support, and scheduling in minutes.
Weavy is a node-based design platform merging AI models with pro editing tools, letting creatives build reusable, AI-powered design workflows.
Pixelesq is an AI-native no-code website builder that creates, optimizes, and scales your site with built-in SEO, speed tools, and growth features.
Sometimes being customer-obsessed can work against you. BlackBerry listened to feedback about wanting better keyboards and perfected them, yet completely ignored the shift toward touchscreens that the iPhone represented. History shows it failed spectacularly. The difference comes down to the Einstellung effect, where expertise creates blindness to better solutions. Founders need to distinguish temporary customer truths like physical keyboards from permanent human needs like efficient communication. This article offers frameworks, including physics-first analysis and monthly anti-expertise audits, where you argue against your strongest beliefs.
Product work requires juggling multiple perspectives at once. Anyone who's opened a Miro board knows this truth. People create beautifully messy diagrams with overlapping lenses because one view is never enough to capture reality. This article breaks down nine different lenses teams use simultaneously: customer journey flows, persona mapping, Wardley Map axes showing capability evolution and user proximity, team boundaries and interactions, opportunities and options, and execution workflows.
A list of founders who explored markets in unique ways before starting their companies.
We always notice when we're lost, but we rarely notice when we've actually found our place – and that asymmetry quietly shapes entire careers.
A “good idea” is something useful or clever, but it only becomes a business when you turn it into something people can't easily substitute and will actually pay a premium for.
Sponsored
Metronome is the monetization infrastructure platform trusted by OpenAI, NVIDIA, and Anthropic. This week, they're launching a bunch of new capabilities - including 3 new ways to enable flexible and hybrid pricing models [4]:
It's hard to imagine what real customer focus looks like before a company has revenue, but Datadog built it in from the start. The founders spent six months interviewing users before writing code, opened betas so customers could self-select, and sold month to month to spot churn immediately. That approach scaled to 700 employees and $100 million ARR. Engineers still rotate through support, pricing talks double as product feedback, and leadership treats every complaint as a signal. The result is a culture designed to find bad news fast and fix it before it compounds.
The UK government is considering a 20% “exit tax” on founders who build businesses in Britain but move abroad to avoid taxes. More than 150 entrepreneurs and investors - behind companies like Beamery, Cleo, and funds including Dawn Capital and 20VC - have pushed back, warning it would punish success and drive talent out. They say Britain already feels less competitive after capital gains hikes, and another tax like this could be the final push for many to leave.
Sam Gerstenzang grew from a fine to a good operator in three and a half years of working at Stripe. This post shares how Stripe approaches decision-making and communication. Operating well is a state. Peak performance is a constant process of tweaking, iterating, and tuning.
In an era of formulaic marketing and AI-written content, the founder letter stands out as one of the few tools that still feels human. It works because it earns trust through story instead of shouting for attention - naming a problem, stirring emotion, and only then offering the solution. From Jason Fried's product launches to the plainspoken clarity of Jeff Bezos and Warren Buffett, the format proves that narrative still builds belief and conviction. Even small tests show it moves results: pages using a founder's voice convert higher because readers can tell when something was written by a person who actually means it.
Genomines' founder spent 14 months doing exactly the same thing: he pitched the same company over hundreds of conversations, facing the same objections and polite rejections. Then he closed $45 million from 12 funds. This post looks at what it really takes to raise a round. It's a messy and non-linear process.
Sponsored
Justworks has an exclusive offer [10] for growing businesses like yours: access top talent across the globe - without the hidden fees.
The first agentic product demo platform where prospects receive personalized demos, in a video call, instantly.
Generatech AI is an all-in-one dashboard that gives users access to the latest AI models worldwide through a single subscription.
Context is an AI-powered office suite that generates docs, slides, and spreadsheets using your data, tools, and preferences.
Companies are machines for doing the stuff a founder really wants to do, but bigger. The company is a vehicle to accomplish a goal that would otherwise be impossible alone. Many founders have found wealth, yet they reinvest it to reach further. Many people work for the fruit - it is rare to find people who work for the work itself.
An analysis of 6,525 software companies revealed that outliers and "normies" had nearly identical metrics at $1M ARR (the top 25% of failures actually grew faster than half the eventual winners). The difference emerged in relentless operational improvement: 86% of outliers increased expansion revenue by 10%+, 72% boosted ARPA significantly, and 51% improved retention - all while “normies” stayed mostly flat. The compound effect is staggering as a 50% improvement in pricing for new customers doubled annual growth rates from 11% to 24%, while combining better pricing and retention took growth "off the charts."
Just as furniture, fashion, and food progressed from essentialist basics to art forms that make you feel something, software is speedrunning the same transformation. The frontier is now defined by software that either expands what's possible or makes you feel - and occasionally does both.
Investment banking is a system that can be deconstructed, measured, and optimized, something software engineers are uniquely positioned to do exceptionally well.
Remote work gave us flexibility, but killed the "learning by osmosis" that happened when juniors could watch seniors read a room, make tough calls, or answer dumb questions during a coffee break.
Tweaking and obsessing over your conversion rates won't save you if the wrong people are showing up.
Sponsored
Insights from The Friction Report, a global research study, reveal the key factors driving cross-border growth for SaaS leaders.
AI companies are aggressively acquiring startups to secure top talent and technology. Over $10 billion was spent on 365 M&A deals in early 2025. Major players like Google and Microsoft use acquihires to gain specialized expertise and proprietary technology rapidly. This strategy, driven by intense talent competition and regulatory uncertainty, helps companies expedite AI development and maintain a competitive edge.
Microsoft, 50 years since its founding, reported a record revenue year led by significant AI transformation impacting all tech stack layers. The company emphasizes AI-driven productivity in fields like healthcare, banking, and retail, alongside major investments in cloud infrastructure, security, and quantum computing. Key efforts include launching 400+ AI-enabled datacenters, expanding AI Copilots with 100 million monthly active users, and committing $4 billion to AI education initiatives, while aiming for sustainability with increased renewable energy and water efficiency goals.
When a new Head of Marketing joins, everyone rushes in with ideas - new deck, new brand, new campaign - and nothing tied to pipeline gets finished. Slow the chaos early. Align on two or three measurable goals for the first 90 days, make them public, and be explicit about what marketing isn't touching yet. Then help them deliver something visible that earns trust - refresh the homepage, fix demo follow-ups, or launch one targeted campaign that actually brings in leads.