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29 articles tagged #Pricing.
P.01Stripe is acquiring the AI model gateway OpenRouter for more than $7 billion, roughly 50x its annualized revenue. Nothing changes in the API today, but the bet behind the price tells you where model routing and billing are headed.
P.02OpenAI cut GPT-5.6 Luna's API price 80% and Terra's 20% on July 30, three weeks after launch. Here's what moved, why it moved that fast, and how to decide whether to switch tiers instead of just enjoying a smaller bill.
P.03DeepSeek retired the deepseek-chat and deepseek-reasoner model names on July 24, 2026, and introduced peak-hour pricing. If your integration broke yesterday, here's the actual fix, not just the model name swap.
P.04OpenAI's GPT-5.6 preview splits into three tiers instead of one model: Sol for frontier work, Terra at half the cost of GPT-5.5, and Luna for high-volume calls. Here's what changed, what it costs, and which tier actually fits your workload.
P.05Mobile app budgets are consistently underestimated because they only price the build. Here is a complete cost breakdown across app types, platforms, and delivery models, with the hidden line items most quotes leave out.
P.06Most software development RFPs attract either no responses or bad ones. Here is what the document should contain, what to leave out, and how agencies evaluate them before deciding whether to reply.
P.07Choosing the wrong contract structure is one of the most reliable ways to damage a client relationship. Here is a practical guide to SoW, T&M, and the hybrid models that actually work for software projects.
P.08AI tools have cut development time on many projects. That creates an uncomfortable question: do you pass those savings to clients, pocket the difference, or rethink how you charge for software work entirely?
P.09Most agency IP sits unused in client project folders. Here's how to identify what's worth extracting, how to package it, and how to build recurring revenue from work you've already done.
P.10Most agencies figure out support pricing and SLA structure only after a client calls at 11pm. A better approach: define what you're selling before the project launches.
P.11When AI tools write 40-70% of a codebase, the usual rules for estimating support costs break down. Here's how to price maintenance work when your team didn't write most of the code.
P.12Most agency case studies don't convert because they focus on process and outputs instead of client decisions and outcomes. Here's how to write case studies that do the selling for you.
P.13Hiring a full-time developer for a three-month surge then watching them sit idle is one of the most expensive mistakes agencies make. Here's how to build a contractor network that actually works.
P.14Most project estimates fail before a single line of code is written. The problem is almost never the hours. It's the unexamined assumptions buried in them. Here's a more honest estimation process.
P.15The invoice you send is only as good as the terms behind it. Here's how to structure deposits, milestones, and late fees so cash flow stays predictable and overdue invoices become rare.
P.16PLG is not a marketing strategy. It's an architectural decision about where conversion happens. Here's what it looks like in practice and which patterns actually move revenue.
P.17A spec that doesn't get signed is a spec that doesn't protect anyone. Here's how agencies structure technical specifications that move projects forward instead of stalling them.
P.18Scope creep feels like a client problem until you realize the same clients cause it on every project while other clients never do. The difference is process, not personality.
P.19Every agency hits the same wall: more work than the team can handle, but not enough volume to justify a full-time hire. White-label partnerships are how the ones that survive it manage growth.
P.20Retainer contracts promise stable revenue. In practice, they often create scope creep, pricing resentment, and capacity problems. Here is how to structure them so they actually work for both sides.
P.21Choosing the wrong pricing model doesn't just slow growth — it creates misalignment that drives churn. Here is how the main SaaS pricing models actually work, where each one breaks down, and how to pick the right one for your product.
P.22Most technical proposals lose because they describe what will be built, not why the client should trust you to build it. Here's how to write one that actually wins.
P.23Most AI project failures start at the scoping stage. The client wants 'AI integration.' The agency quotes a price. Nobody defines what that actually means. Here's how to scope these projects properly.
P.24Every AI integration budget starts with API costs and ends with surprises. Here's what production AI features actually cost once you account for everything the initial estimate missed.
P.25The choice between fixed-price and time-and-materials contracts is one of the most consequential decisions in an agency-client relationship. Each model transfers risk differently. Here's how to decide which one fits your project.
P.26A short, direct answer to 'how much is website development' with bracket ranges by project type, the four levers that move the price, and where to read the deeper breakdown.
P.27From $800 landing pages to $500K enterprise platforms — here's the real breakdown of web development costs in 2026, with pricing by project type, region, and technology stack.
P.28Real pricing data for MVP development across 6 regions, with hourly rates, project costs, and quality comparisons. Plus a framework for choosing the right geography for your startup.
P.29A detailed breakdown of what goes into a conversion-optimized landing page at different price points — from $800 starter pages to $2,500 premium builds. With real conversion benchmarks and examples.