Tag
SaaS
27 posts
I Got Falsely Reported and Banned on X. I Am Permanently Banned on Reddit. I Am Still Building SaaS.
Someone false-reported me on X and the account is gone. Reddit banned me permanently months ago. Two of the biggest distribution channels for indie hackers are now closed to me. Here is the honest version of what platform risk actually feels like, why mass-reporting is the new shadow ban, and why none of it is going to stop me from shipping.
Vercel BotID In 2026: How The Invisible CAPTCHA Actually Works, And Where It Earns Its Place In My Stack
Vercel BotID went GA in mid-2025 and quietly replaced the visible CAPTCHA on a lot of indie SaaS sites in 2026. The promise is real: invisible bot detection that catches headless Playwright sessions without making your real users squint at fire hydrants. The price is real too. Here is what BotID actually does under the hood, the Basic versus Deep Analysis tradeoff, the route patterns I protect with it, and the day a single AI scraper convinced me to wire it in front of an endpoint I thought was already safe.
Background Jobs For Indie Developers in 2026: When You Need A Queue, When You Do Not, And What I Actually Use
Every job queue tutorial is written for companies running ten thousand jobs a second. As a solo developer you do not need Sidekiq Pro and a Kubernetes cluster to send a welcome email. Here is the actual background job setup that earns its place for indie projects in 2026, and the day a Stripe webhook taught me why setTimeout was never going to be enough.
Rate Limiting Your SaaS API in 2026: The AI Scraper Problem, Token Buckets, and the Layered Defense That Actually Works
A single AI agent scraped one of my endpoints twenty-three thousand times in a night and turned a $40 OpenAI budget into a $312 invoice before I woke up. Most rate limiting tutorials are written for traffic that pretends to be polite. Here is what actually defending a SaaS API looks like in 2026, with the AI bot wave already through the door.
Claude's June 15 Pricing Split: What Indie Devs Actually Need to Do Before the Meter Starts
On June 15, 2026 Anthropic splits Claude subscriptions into two pools. Interactive chat stays the same. Anything programmatic (Agent SDK, claude -p, Claude Code GitHub Actions) gets metered in dollars at full API rates. Here is what that actually costs, who wins, who loses, and exactly what to change in your setup before the meter flips on.
Feature Flags For Solo Developers in 2026: When You Need Them, When You Do Not, And What I Actually Use
Every feature flag tool is pitched at companies with a hundred engineers. As a solo developer you do not need a $200 a month LaunchDarkly seat to ship safely. Here is the actual feature flag setup that earns its place for small teams and indie projects in 2026, and the moment you finally outgrow a config file.
Zero-Downtime Postgres Migrations: The Mistakes That Locked My Production Database
A single ALTER TABLE on a 40 million row table can freeze your app for forty minutes. Most migration tutorials skip the part where the database is also serving live traffic. Here is what shipping schema changes to a real production Postgres in 2026 actually looks like, including the operations I now refuse to run during business hours.
Stripe Webhooks in Production: Idempotency, Retries, and the Mistakes That Cost Me Real Money
Stripe webhooks look like a five-minute integration in the docs. Then a customer is double-charged, a subscription event arrives out of order, your handler 500s for an hour, and Stripe quietly retries the same event 47 times. Here is what shipping webhooks to real billing flows actually looks like in 2026.
Pricing AI Features in 2026: How To Charge For LLM-Backed Products Without Bleeding Margins
Flat subscriptions on AI features are how indie products go bankrupt in 2026. The teams shipping profitable AI products price for variance, charge close to the unit of value, and pass usage volatility through to the customer in a way that does not feel hostile. Here is how to actually do that.
Multi-Agent vs Single-Agent Architecture in 2026: When the Crew Beats the Soloist
Multi-agent systems are the architecture pattern everyone is talking about in 2026 and almost nobody actually needs. After shipping both shapes in production, here is the honest framework for when a crew of agents beats a single well-prompted one, and when it just multiplies your bugs.
Structured Outputs in 2026: Function Calling, JSON Mode, and the Schema Wars
Three years ago you parsed LLM JSON with a prayer and a regex. In 2026 every major provider supports schema-constrained outputs, but they all do it differently, and the wrong choice will silently corrupt your data. Here is the field guide I wish I had before I shipped four broken integrations.
Prompt Caching in 2026: Anthropic vs OpenAI vs Gemini for Production Apps
Prompt caching is the quiet unlock that makes long context economics work in production. But every provider implements it differently, the pricing math is not obvious, and most developers are leaving 70 to 90 percent savings on the table. Here is a field guide after burning a lot of tokens to figure out what actually works.
Temporal vs Inngest vs Vercel Workflow in 2026: Picking a Durable Engine
Durable execution engines went from "interesting infra pattern" to "the only sane way to build AI agents and long-running background work" in 2026. Temporal, Inngest, and Vercel Workflow are the three I keep seeing in production. Here is how they actually compare after running real workloads on all three.
RAG vs Long Context in 2026: When to Retrieve and When to Just Stuff the Window
Claude Opus 4.7 ships with a 1 million token context window. Gemini 2.5 has 2 million. GPT-5 sits at 400k. The obvious question: do we still need RAG, or can we just paste the whole codebase into the prompt? After rebuilding two production features both ways, the answer is not what I expected.
Vector Database Comparison 2026: pgvector, Pinecone, Turbopuffer, and Qdrant
I spent the last two months running the same RAG workload across pgvector, Pinecone, Turbopuffer, and Qdrant on real production traffic. Here is what actually shipped, what broke, and which one I would pick if I were starting a new project this week.
AI Code Review Tools in 2026: CodeRabbit vs Greptile vs Vercel Agent
AI code review tools moved from novelty to mandatory in 2026. CodeRabbit is the market leader, Greptile is the technical darling, and Vercel Agent is the native pick for anyone deploying on Vercel. Here is an honest comparison after running all three against real pull requests on real codebases.
Durable AI Workflows in 2026: Why Your Next AI Feature Needs Orchestration
AI agents that talk to APIs, run for minutes, and touch external state break in ways your typical request-response code does not. Durable workflow engines like Inngest, Trigger.dev, and Vercel Workflow solve a problem most developers do not realize they have until production burns them. Here is the guide I wish I had six months ago.
Better Auth vs Clerk vs Supabase Auth: Which Should Solo Devs Pick in 2026?
Auth is the decision that silently shapes your product for years. Clerk is the polished default. Supabase Auth is the pragmatic bundle. Better Auth is the open-source challenger changing the conversation in 2026. Here is how I pick between them for solo dev projects.
SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team)
A 5% drop in monthly churn can double your LTV. Most solo founders know this but do not have a system for actually fixing it without hiring support staff. This is that system.
Prompt Injection Is the New SQL Injection: Defending AI Apps in 2026
Prompt injection is the single most underrated security risk in AI applications today. It is easy to pull off, hard to fully fix, and most developers shipping AI features have no defenses in place at all. Here is a practical guide to understanding the threat and actually doing something about it.
The Real Cost of Running AI in Production: How to Cut Your LLM Bills by 60 to 90 Percent
Most developers ship their first AI feature, watch the bill explode, and assume that is just the cost of doing business. It is not. Model routing, prompt caching, and batch processing can cut your LLM spending by 60 to 90 percent without sacrificing quality. Here is how to actually do it.
What Happens After You Vibe Code: Production Observability for Solo Developers
Shipping fast with AI is the strategy everyone is talking about. But 51 percent of GitHub commits are now AI-assisted, and bug density in AI-generated code is measurably higher. When something breaks in production and you are the only developer, the cost is not just downtime. It is a week of momentum. Here is how to set up monitoring that catches problems before your users do.
Developer-Led Growth in 2026: How to Get Your First 100 Paying Customers
Most developers who build good products still struggle to get paying customers. The product is almost never the problem. Distribution almost always is. Here is what actually works for developer tools and technical SaaS in 2026.
The SaaSapocalypse Is Real: What Smart Developers Should Build Instead
AI agents are collapsing the build-vs-buy decision that made SaaS valuable. In January 2026, roughly $2 trillion in SaaS market cap evaporated in 30 days. This is not a cycle. It is a structural shift. Here is an honest look at what is happening, which categories are done, and what developers should actually build in a world where agents replace interfaces.
AI Wrappers Are Dead: What Smart Developers Are Building Instead in 2026
McKinsey reports only 3% of AI startups will survive the next two years. Google just warned that companies built around LLM wrappers have their check engine light on. The average AI wrapper has a 65% churn rate within 90 days. But developers who understand what comes after wrappers are building the most valuable software of the decade. The AI gold rush is not over. The easy money is.
The Micro SaaS Playbook: How Developers Are Building Profitable Products in Weeks, Not Months
The micro SaaS market is projected to grow from $15.7 billion to $59.6 billion by 2030. Solo developers are shipping in weekends what used to take months. But 70% of micro SaaS products generate under $1,000 a month. The difference is not the idea or the tech stack. It is the process. Here is the playbook for finding, building, and shipping a micro SaaS that actually makes money in 2026.
You're Probably Undercharging: A Practical Guide to SaaS Pricing for Indie Hackers
Most indie hackers set their price once, pick something that feels safe, and never touch it again. That one decision quietly caps their revenue for months. Here is what I have learned about SaaS pricing from my own products and from watching dozens of founders get it wrong, including me.