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Building is (supposedly) easy and cheap. Media showcases the AI hits that grow faster than any company in history. YouTube "experts" are touting AI/SaaS tools that grew to $1m ARR within 3 months.

But, that's only a small slice of the world. We have been building useful products that drive real results and our customers like...but, without big funding and limited people, we can't seem to rise above the noise to get any traction.

So, for those without millions to spend (lose) on customer acquisition...what is working in 2026 to get a few users per day to give new tools a shot?

Anthropic AI Models Hacked Three Organizations During Tests

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NeuronAI turns smart solutions into voice

We accidentally built an LLVM compiler for Jax

ISS Mimic

The Religion of Speed

Premier league bans gambling sponsors

Save and restore may be coming to GNOME

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Specula: Scaling formal specs for autonomous model checking of system code

Memory-level parallelism: AMD is the king

LLVM AI Tool Use Policy

Inkling Small is the highest-scoring open-weight model evaluated by ARC Prize

Hugging Face Incident Initial Post-Mortem

Gemini Robotics

DeepSeek Founder Liang Wenfeng in His Own Words

WTF per Minute – An Actual Measurement for Code Quality

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents

Anthropic AI Models Hacked Three Companies During Tests

The AI Aesthetic

The Absurdity of Albert Camus

Cross-Vendor Semantic Void Matrix: Zero-Byte Outputs in GPT/Claude/Gemini/Kimi

Satyress

Data Science Weekly – Issue 662

At-the-Roofline Sparse Tensor Contractions on Vector Processors for Inference

COLDCARD Mk3 Security Advisory

Index 01 Is in Mass Production

I fucking love this; you don't

Banks in Talks to Lend $15B for Anthropic Data Center Backed by Google

Public Records Requests Are Surging. The Government Is Falling Behind

What's Working for Adoption and Distribution of AI/SaaS Products in 2026?