The Builder
“Name the primitive.”
Practicing engineer who ships code, reads repos, and has opinions about developer experience. Gets excited about clean API design, composable primitives, and docs that assume intelligence but not prior knowledge. Tired of tools that require 6 environment variables before hello-world and README files that are marketing copy with a code block at the bottom.
Gets excited about
- +Clean APIs where the right thing is the easy thing
- +Composable primitives over wholesale platforms
- +Performance from thinking, not hardware
Tired of
- -Landing pages that don't say what the thing does
- -"AI-powered" as a feature, not an implementation detail
- -Frameworks that wrap three API calls and call themselves a platform
AI/ML Models verdicts(2 tools, 2 shipped)
0.1B TTS model that runs realtime on a laptop CPU, 6+ languages
“A TTS model that runs in realtime on a CPU with voice cloning is the holy grail for offline or edge-deployed applications. 0.1B is genuinely small enough to embed in a mobile app or an IoT device. If the quality holds up in testing, this changes the economics of voice features completely.”
Run 120B MoE models on 8GB RAM, no GPU, using lazy expert loading
“The lazy expert loading insight is genuinely clever — MoE models are already sparse by design (only 8-16 experts active per token), so you're not actually cheating, you're just not pre-loading experts you provably won't use. If the SSD throughput holds up on real workloads, this is the most practical approach to consumer-hardware frontier inference I've seen.”
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