tools-only Reddit Outreach - Tailored Comments
Thread 1: r/ClaudeAI - "I built a local dashboard to track my Claude Code usage and costs"
Context: User built a dashboard to track Claude Code token usage and compare API costs vs subscription pricing. Found some sessions would cost $15+ at API rates.
Comment:
This is really cool. I had a similar moment tracking my Claude Code usage and realizing how much those longer sessions would cost at API rates.
I ended up building something different to tackle the cost problem: a local router that sits between Claude Code and the API, classifies each prompt in about 10ms, and sends simple stuff (file reading, quick questions) to cheaper models like Gemini Flash while keeping complex work on Claude.
In practice it cuts my bill by 40-70% because a lot of Claude Code prompts are actually pretty simple. Things like "what does this function do?" or "read this file" don't need Opus, but by default they get it anyway.
The whole thing runs locally (your API keys, your control) and works with any tool that speaks OpenAI's API format. I open sourced it at github.com/doramirdor/NadirClaw if you want to check it out. The README has real examples of what gets routed where.
Your dashboard approach is great for visibility into what you're actually using. The routing approach is about changing what hits the expensive model in the first place. Both are useful angles on the same problem.
Thread 2: r/ClaudeCode - "Claude Code will become unnecessary"
URL: https://www.reddit.com/r/ClaudeCode/comments/1rd8erf/claude_code_will_become_unnecessary/
Context: Discussion about open source models becoming good enough that paid Claude won't make sense. Mentions Qwen 3.5 and local hosting.
Comment:
You're right that the open models are getting way better, but I think the play isn't either/or. It's routing between them based on what the task actually needs.
I've been running Claude Code through a local router that sends simple prompts to Ollama (totally free, runs locally) and complex stuff to Claude. In my usage about 60% of prompts are simple enough for a local model. Things like "add a test for this function" or "what does this error mean?" work fine on Llama 3.1.
The hard part is knowing when to use which model. That's what the routing layer does. It classifies each prompt in about 10ms and makes the call automatically. You get the cost savings of local models where they work, and the quality of Claude where you actually need it.
It's open source if you want to try it: github.com/doramirdor/NadirClaw
I don't think Claude will become unnecessary. But I do think paying full price for every single prompt is unnecessary when a classifier can make smarter decisions for you.
Thread 3: r/SideProject - "I gave my AI agent 50 bucks and told it to buy its own computer"
Context: User running an AI agent on OpenClaw that makes its own decisions and tracks its budget. Someone in the comments mentioned token costs and OpenClaw.
Comment:
This is a great experiment. The budget constraint makes it way more interesting than "here's unlimited API credits, go wild."
One thing I noticed in your update: you mentioned tracking every penny. If you're running this on OpenClaw and making a lot of LLM calls, you might want to look at routing to save on token costs. A lot of agent interactions are simple (file operations, status checks, basic questions) and don't need the expensive model.
I built NadirClaw specifically for this use case. It sits between OpenClaw and your LLM providers, classifies each prompt, and routes simple stuff to cheap or local models while keeping complex reasoning on premium models. Has an openclaw onboard command that auto-configures everything.
For an agent running autonomously with a real budget, cutting LLM costs by 40-70% means more runway for experiments like this. The router is open source: github.com/doramirdor/NadirClaw
Either way, really cool to see what Earendel decides to do next. The fact that it chose to buy X Premium with its own money is wild.
Thread 4: r/ClaudeAI - "Claude is the better product. Two compounding usage caps..."
URL: https://www.reddit.com/r/ClaudeAI/comments/1rcmvj5/claude_is_the_better_product_two_compounding/
Context: Long post from heavy Claude user explaining why they stick with ChatGPT Plus despite preferring Claude, due to the double layer of usage caps (5-hour rolling + weekly ceiling).
Comment:
I completely understand this frustration. The weekly cap on top of the rolling limit is brutal for heavy users, and the jump from Pro to Max is way too steep.
One workaround I've been using: run Claude through a router that sends simpler prompts to other models. A lot of the messages in a long iterative session don't actually need the thinking model. Things like "yes, continue with that approach" or "show me the updated version" or "what did we decide in the last message?" can go to a much cheaper model without affecting quality.
I built a local router (NadirClaw) that does this automatically. It classifies each prompt in about 10ms and routes to different models based on complexity. You can mix Claude for the hard reasoning with Gemini Flash or even local Ollama for simple stuff.
In practice this stretches your Claude Pro limits a lot further because you're only burning through the quota on prompts that actually need it. Still not a perfect solution (Anthropic should really add a middle tier), but it makes the $20 plan more usable for heavy iterative work.
Open source if you want to try it: github.com/doramirdor/NadirClaw
The real fix is on Anthropic to adjust the tier structure. But until then, smarter routing helps.
Thread 5: r/ClaudeCode - "I am hitting the limits really quickly lately"
URL: https://www.reddit.com/r/ClaudeCode/comments/1r9h4dt/i_am_hitting_the_limits_really_quickly_lately/
Context: Novice coder hitting Claude Code limits very quickly on simple tasks like storing events locally. Using Opus 4.6.
Comment:
Opus 4.6 burns through tokens fast, especially in Claude Code where the context window includes your whole project structure. Even simple tasks rack up usage because of all the file reading and tool calls happening in the background.
One thing that helped me a lot: routing simple prompts to cheaper models. A lot of Claude Code interactions are stuff like "store this locally" or "update this function" or "what does this error mean?" which don't actually need Opus. They work fine on something like Gemini Flash (way cheaper) or even local models.
I built a router called NadirClaw that sits between Claude Code and the API, classifies each prompt, and sends simple stuff to cheap models while keeping complex refactoring and architecture work on Claude. It cut my usage by about 60% and I haven't noticed a quality drop for the kinds of tasks that got routed away.
You can point Claude Code at it by setting ANTHROPIC_BASE_URL=http://localhost:8856/v1 before running claude. Works as a drop-in proxy. Open source: github.com/doramirdor/NadirClaw
For simple productivity apps like what you're building, this would probably save you a lot of quota headroom. Worth a try if you keep hitting the wall.