Subarb retweeted
We're rolling out plugins in Codex.
Codex now works seamlessly out of the box with the most important tools builders already use, like @SlackHQ, @Figma, @NotionHQ, @gmail, and more.
developers.openai.com/codex/…
Subarb retweeted
Great questions! The answer is “yes.” 😎 Subarb tracks your spend, your idle time, and which models you’re using in the browser and apps (most common ones supported). You can also sync to your @openclaw log files to track your usage there.
Subarb retweeted
$200/mo blind spend on AI tools is extremely common right now. Most people have 3-4 overlapping subscriptions doing the same thing.
Is Subarb showing per-tool breakdown or total spend? And does it catch idle subscriptions you're paying for but not using?
Subarb retweeted
Paying $200/mo for AI and had no idea what I was actually using.
Built Subarb to fix that. 👇
Free. Windows. 30 sec install.
v0-subarb.vercel.app
cc @cursor_ai @AnthropicAI @OpenClaw @marc_louvion
#BuildInPublic #IndieHacker #AITools
Subarb retweeted
🚨 Holy shit...A developer on GitHub just built a full development methodology for AI coding agents and it has 40.9K stars on GitHub.
It's called Superpowers, and it completely changes how your AI agent writes code.
Right now, most people fire up Claude Code or Codex and just… let it go. The agent guesses what you want, writes code before understanding the problem, skips tests, and produces spaghetti you have to babysit.
Superpowers fixes all of that.
Here's what happens when you install it:
→ Before writing a single line, the agent stops and brainstorms with you. It asks what you're actually trying to build, refines the spec through questions, and shows it to you in chunks short enough to read.
→ Once you approve the design, it creates an implementation plan so detailed that "an enthusiastic junior engineer with poor taste and no judgement" could follow it.
→ Then it launches subagent-driven development. Fresh subagents per task. Two-stage code review after each one (spec compliance, then code quality). The agent can run autonomously for hours without deviating from your plan.
→ It enforces true test-driven development. Write failing test → watch it fail → write minimal code → watch it pass → commit. It literally deletes code written before tests.
→ When tasks are done, it verifies everything, presents options (merge, PR, keep, discard), and cleans up.
The philosophy is brutal: systematic over ad-hoc. Evidence over claims. Complexity reduction. Verify before declaring success.
Works with Claude Code (plugin install), Codex, and OpenCode.
This isn't a prompt template. It's an entire operating system for how AI agents should build software.
100% Opensource. MIT License.
Subarb retweeted
RIP manual expense tracking.
A developer on GitHub just built TaxHacker a self-hosted AI accounting app that processes receipts and invoices automatically.
Here's what it does:
→ Upload photos or PDFs of any receipt in any language
→ AI extracts product names, amounts, taxes, dates, merchants
→ Auto-converts currencies using historical exchange rates (even BTC/ETH)
→ Full-text search across all your recognized documents
→ Customize every single LLM prompt including the system ones
→ Export to CSV with all documents attached for your accountant
One Docker command to deploy. Your data stays yours.
100% Opensource. MIT License.
(link in the comments)








