Building typebulb.com 💡 Overpowered Artifacts. Tell Claude/Codex: run "npx typebulb agent" & draw fireworks
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Bunch of utilities:
PDF:
Pdf To Markdown: typebulb.com/u/samples/pdf-t…
Markdown to Pdf: typebulb.com/u/samples/markd…
Pdf Extract Pages: typebulb.com/u/samples/pdf-e…
Invoice Generator: typebulb.com/u/samples/invoi…
IMAGE:
Crop and Resize: typebulb.com/u/samples/crop-…
Magic Eraser: typebulb.com/u/samples/magic…
OCR Highlighter: typebulb.com/u/samples/ocr-h…
VIDEO:
Clip & Crop: typebulb.com/u/samples/video…
FFmpeg w/ AI: typebulb.com/u/samples/ffmpe…
All work both on typebulb.com and locally with the typebulb cli. They're automatable & customizable with AI, work with mobile, support light/dark themes, clean no-frills UIs with no ads.
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PDF to Markdown w/ images + LaTeX:
typebulb.com/u/samples/pdf-t…
Claude really seems to like PDFs predigested into markdown (running the bulb locally is the least friction).
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Hi-res neural cellular automata.
The chameleon one uses pretrained weights:
typebulb.com/u/samples/chame…
The donut one trains live:
typebulb.com/u/antypica/regr…
Implements research by @Esychology
Both built with tensorgrad that compiles NN defs to WebGPU.
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On Claude's long dense replies... Consider Claude's perspective: it *needs* that dense text, that context, for a task that spans a multi-turn conversation. Thinking tokens from previous turns evaporate. Conflict of interest = what Claude should say to you vs. to itself.
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Claudish -> Human translation is the solution. These are side-chained / separate from the main context. You don't need to see Claude's Claudish; Claude doesn't need to see your simplified summaries.
Best of both worlds: Switch between Claude's detailed responses, or concise summaries. Summaries are generated off the main convo by a cheap model. Typebulb's CLI has had this feature for a couple of weeks, and I use it constantly.
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Digital primordial soup. Self-replicators emerge from simple rules, randomness, and time. Even the fitness function emerges. @blaiseaguera
typebulb.com/u/samples/primo…
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Best of both worlds: Switch between Claude's detailed responses, or concise summaries. Summaries are generated off the main convo by a cheap model. Typebulb's CLI has had this feature for a couple of weeks, and I use it constantly.
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Draw the harmonic series to hear the timbre changes.
typebulb.com/u/antypica/over…
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Magic trick with math: watermarking text without introducing bias.
To see exactly how this works, I wrote a watermarker using a toy language model. Play with it here:
typebulb.com/u/antypica/how-…
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Sentiment analyzer running on local weights in your browser:
typebulb.com/u/antypica/sent…
Decent for an overall sentiment, but obviously won't pick up context/nuance, such as sarcasm. I could add the ability to swap out for an LLM if someone wants that.
Speed depends on your GPU.
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I've written hundreds of tools, visualizations & experiments. Each is a bulb, an app in a single markdown file. It streamlines my habit of 1-shotting, publishing, and iterating on such things.
Here's an interactive tour explaining how:
typebulb.com/u/samples/tour/…
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Here's the time & tokens I saved over the last 30 days, simply by asking Claude Code to replace its edit tool with matchu-patchu-mcp:
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Are humans more like chimpanzees or LLMs?
typebulb.com/u/lab/chimp-vs-…
Works by comparing any set as follows:
LLM gens sentences about humans, chimps, LLMs, frogs, whatever.
Keywords are swapped; LLM rates how much the sentences still make sense.
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Play Go against a NN running in the browser.
Real KataGo (b6c96) playing full-size, 1.16 MB of weights. Compiled to WGSL by tensorgrad (pretrained weights mode).
Not a Go player, so if there's something wrong, let me know.
typebulb.com/u/antypica/kata…
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Why is Claude Code's edit tool single-edit, not multi-edit?
Seems to unnecessarily waste tokens & round trips. Even at 10% cost for cached tokens, compounded it's significant (huge across all customers).
For the last few weeks I unconditionally swapped it out, trying 2 alternatives:
* matchu-patchu-mcp (stand-alone npm library I wrote for this)
* pi's edit tool (extracted into a stand-alone mcp)
Both batch edits, which is where the savings come from. The former handles more edge cases, but both work.
Interestingly, CC used to have a multi-edit tool, but abandoned it last year. Curious what Anthropic's reasons were for that choice, and whether it still makes sense.
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Kinda niche… in plain English, ask an LLM what you want a neural network to do & out pops the architecture diagram for you.
E.g. balance a rod, recognize handwritten digits…
Philosophically, it's an interesting way to categorize knowledge: by the NN required to understand it.
typebulb.com/u/samples/nn-dn…
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