See how to create a routing number that connects you with the current on-call person and lets you report incidents by phone.

I did the same and moved everything to BetterStack a couple years ago. Works great, it's pretty much my one (beautiful) dashboard.

So today I did this with @honeybadgerapp who I have always loved. I churned off that and moved all error tracking to @BetterStackHQ because I already had logs there and it was cheaper than Sentry. I'm also considering removing @uptimerobot because @BetterStackHQ also does status pages/monitoring. If @honeybadgerapp did logging I likely would of consolidated everything to that instead but for some reason they did not move fast enough of scaling out the platform (they shipped some weird insights feature which I think was a huge miss instead of doing logging).

Qwen Audio Agent keeps the conversation alive while Claude Code or Codex works in the background. You can interrupt it, ask for status, keep talking—and it tells you when the job is done.

Breeze TTS 2 beat ElevenLabs on Artificial Analysis and can design voices from text prompts. I tested it locally and found one catch: the license makes it hard to actually ship.

No amount of tweaking your CLAUDE.md stops AI slop reaching your codebase. Anti-slop makes it a lint error your agent can't ignore.

Integrate Better Stack error tracking in seconds. One prompt is all it takes: copy, run, and you're tracking errors.

Mojo 1.0 is here; the compiler is open source, and Qualcomm owns Modular. We tested the 68,000× claim on an M4 Pro vs Python/NumPy and even ran a GPU kernel on a MacBook.

VoxCPM2 is an open-source local TTS model that can design voices from text, clone a voice from a short clip, and speak 30 languages. We tested it locally with Python + vLLM.

Grok faded into the background for two years. Grok 4.6 is now second on real-world tasks at a third of the price.

Claude Fable 5.1 is Anthropic's new frontier model, with cache reads cut by 75% and a claimed 25 to 45% cost reduction on agentic work. We break down why that discount only applies to API usage, why Artificial Analysis found Fable 5.1 on max effort more expensive per task than Fable 5, and which effort level actually saves you money.

Hister turns your browser history into a local full-text search engine. We tested it on Mac: Chrome indexing, buried-text search, CLI queries, and importing old history.

Looking for a rare string in a huge dataset and don't want to wait? Query boost is ideal for finding needle-in-a-haystack matches across large volumes of data.

DeepSeek Harness went from nothing to 150,000 GitHub stars in days, it's MIT licensed, and the plugin system is insane. You can rip out the core, swap the model for Claude or OpenAI, and build your own tooling. Worth a look if Claude Code is your daily driver.

We ran a 45M parameter AI model fully offline on a $10 microcontroller. No WiFi, no cloud. It reasoned through natural-language commands and gave live confidence scores. Watch the full breakdown.

audio.cpp is basically Ollama for audio: one native C++ runtime for local voice cloning, TTS, STT and more. I tested it on Apple Silicon. No cloud, no Python at inference.

TanStack Charts is my new favorite charting library. It brings real grammar of graphics to TypeScript, fully typed, framework-agnostic and tree-shakeable. Compose marks, scales & interactions to get nearly any chart you want. @tan_stack does it again 💪

The model so cheap, it may as well be free: DeepSeek V4 Flash. It scores the same as Gemini 3.6 Flash but costs 18× less. I compared 8 models in this video. DeepSeek's a competent coder, but it falls short on UI design. Check out the results.

ThinkingCap cuts AI reasoning tokens by up to 58% with basically no accuracy loss. We break down how BottleCap trained it and ran it ourselves against the base Qwen3.6-27B model to see how good it is.

Decimen sends files using nothing but a screen flashing QR codes and a camera reading them back. No WiFi, no Bluetooth, no network at all. We tested it and got 3 KB/s instead of the claimed 128 KB/s. We dug into the source code to find out why.