Alternatives

Products that do what A (marginally) useful x86-64 ELF executable in 298 bytes does

1. 1AM
   A (marginally) useful x86-64 ELF executable in 466 bytes▲85

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2. 2AM
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3. 3EI
   ELF Injector▲39

   The ELF Injector allows you to "inject" arbitrary-sized relocatable code chunks into ELF executables. The code chunks will run before the original entry point of the executable runs. Included in the project are sample chunks as well as a step-by-step tutorial on how it works. It's a mix of C and assembly and currently runs on 32-bit ARM though it's easy to port to other architectures.

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4. 4XS
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   Repo: https://github.com/valdanylchuk/xcc700 Hi Everyone! I just wrote my first compiler! - single pass, recursive descent, direct emission - generates REL ELF binaries, runnable using ESP-IDF elf_loader - very basic features only, just enough for self-hosting - treats the Xtensa CPU as a stack machine for simplicity, no register allocation / window usage - compilable on Mac, probably also Linux, can cross-compile for esp32 there - wrote for fun / cyberdeck project Sample output from esp32: xcc700.elf xcc700.c -o /d/cc.elf [ xcc700 ] BUILD COMPLETED >…

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5. 5EL
   Elfconv – Linux Apps to High-Performance WASM Binary Translator▲18

   This post introduces elfconv, a binary translator that converts Linux applications into WebAssembly. repo: https://github.com/yomaytk/elfconv Recently, performance has improved dramatically. In our LINPACK benchmark, the Wasm generated from ELF/AArch64 by elfconv now runs at roughly 60–80% of the performance of the Wasm directly compiled from source code. This shows that elfconv can produce WebAssembly with practical, real‑world performance! Furthermore, compared to QEMU running in the browser, it achieves approximately 68× the performance. Benchmark test:…

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6. 6AT
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7. 7OA
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   I built an experiment that uses an overfitted transformer and arithmetic coding to compress individual files. Instead of training the model to generalize, I train a 900KB transformer to memorize a single file and predict the next byte. Those predictions are fed into an arithmetic coder to produce the compressed output. On a 100MB NYC taxi CSV, it compresses to about 7MB (~0.5 bits/byte). On a 100MB slice of enwik9, it compresses to about 21MB (~1.68 bits/byte). It's pretty slow right now (roughly 20–30 minutes of training and 45 minutes each for compression and decompression on my…

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8. 8AE
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9. 9AC
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10. 10XA
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11. 11
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12. 12FI
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13. 13CF
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14. 14EP
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15. 15IC
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    While building a Retrieval-Augmented Generation (RAG) system, I was frustrated by my vector database consuming 8GB RAM just to search my own PDFs. After incurring $150 in cloud costs, I had an unconventional idea: what if I encoded my documents into video frames? The concept sounded absurd—storing text in video? But modern video codecs have been optimized for compression over decades. So, I converted text into QR codes, then encoded those as video frames, letting H.264/H.265 handle the compression. The results were surprising. 10,000 PDFs compressed down to a 1.4GB video file. Search…

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16. 16E6
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17. 17AD
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18. 18UT
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19. 19JA
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20. 20CD
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21. 21ZD
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22. 22BT
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23. 23AA
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24. 24JN
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