August 9, 2026

Tiny language, huge comment-section energy

Memelang: Token-Terse Query Language

A tiny new coding shortcut promises big savings, but commenters say the math may be messy

TLDR: Memelang wants chatbots to write a shorter code first, then convert it into normal database commands to cut costs. Commenters weren’t sold: their big debate was whether teaching bots this new shorthand could cost more effort than it actually saves.

A new project called Memelang is pitching a very simple idea with very big ambition: make chatbots write a shorter mini-language first, then automatically turn that into regular database commands later. The sales pitch is pure efficiency drama — fewer words in the chatbot’s output, lower computing costs, and maybe huge savings for companies generating mountains of database requests every day. On paper, it sounds like a sleek diet plan for bloated machine chatter.

But the real fireworks came from the community, which immediately asked the question that kills many shiny ideas: does this actually save anything in the real world? The strongest reaction was skepticism. Commenters basically said, “Cool trick, but if the chatbot has to be taught this brand-new language first, aren’t you spending extra effort just to save a few words later?” That became the thread’s main clash: believers see a clever shortcut, doubters see a coupon that costs more to print than it saves.

There was also a side-order of eye-rolling over the learning curve. People joked that the whole thing risks becoming a bizarre situation where the bot needs a cheat sheet to remember the cheat sheet. The patented angle and dense syntax only added to the mood, making the launch feel less like a universal breakthrough and more like a bold, slightly chaotic gamble. In other words: fascinating idea, brutally skeptical crowd.

Key Points

  • The article presents Memelang as a terse query language for LLM text-to-SQL systems aimed at lowering token and compute costs.
  • Memelang is described as an intermediate representation that is programmatically translated into SQL before database execution.
  • A provided example compares a 20-token Memelang query with a 36-token SQL equivalent.
  • The document defines Memelang as a patented query DSL IR from HOLTWORK LLC and lists version 11.04.
  • The article includes grammar rules and multiple examples covering schema definition, filtering, grouping, aggregation, sorting, joins, similarity search, and result limits.

Hottest takes

"if they aren’t trained on memelang, surely they will have to use more effort" — dcl
"would need the next generation of LLMs to be trained on memelang" — nagisanzeninz
"save a smaller amount than we waste" — nagisanzeninz
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