ooof that's gonna get pricey quick. I probably have a lot of them already let me see what I got rn.
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Here’s a prioritized list of the most valuable search terms for scanning NVK podcast transcripts, show notes, and related audio:
### Highest signal (use first)
- **libngu** / **LibNgU** / **lib ng u**
- **switck** / **@switck**
- **source code library**
- **new source code library**
- **“thanks to”** + library / switck
- **yasmarang**
- **MICROPY_HW_ENABLE_RNG**
- **ngu.random** / **ngu.random.bytes**
- **random.bytes(32)**
- **hardware RNG** / **true RNG** / **TRNG**
- **software PRNG** / **pseudo-random**
- **seed generation** + rewrite / change / new
- **entropy** + Coldcard / firmware / seed
### Strong secondary terms
- **libsecp256k1** / **secp256k1** (especially with “moved to”, “switched to”, “we use”)
- **Python wrapper**
- **Trezor crypto** / **Trezor-derived** / **Trezor code**
- **GPL** + remove / replace / rewrite
- **Commons Clause**
- **version 4.0** / **v4.0.0** / **firmware 4.0**
- **major internal** / **all new code**
- **BIP39** + replace / rewrite
- **crypto library** / **crypto rewrite**
- **DocHex** / **Peter** (in context of code or library)
- **anonymous** / **pseudonymous** / **nym** + library / contributor
### Contextual / supporting terms
- **reproducible builds**
- **AES** + assembly / optimized
- **SHA256** + optimized
- **last remaining GPL**
- **external library** / **third-party library**
- **we have a** + wrapper / library
- **our library** / **our wrapper**
### Suggested search strategy
1. Start with exact matches for **libngu**, **switck**, **yasmarang**, and **ngu.random**.
2. Then run broader searches for **“source code library”**, **“Python wrapper”**, and **libsecp256k1** + “we” / “our”.
3. Follow with **entropy**, **RNG**, **seed generation**, and **firmware 4.0 / v4**.
4. Finally scan for any mention of **Trezor** + rewrite/remove/GPL around early-mid 2021 dates.
These terms give the best chance of surfacing any relevant quotes while keeping noise manageable.
There were two with Natalie Brunelle. One of them had my hair standing up. There was a backdoor type comment.