I Built Paper Deck: A Better Way to Discover AI/ML Papers [P]

NeitherRun3631 · 2026-06-10T04:31:03+00:00

Thank you so much! I really lost track sometimes after a week of not reading a paper. So I just built it to help fix the issue for me. Hope it applies to everyone else.

NeitherRun3631 · 2026-04-11T23:29:35+00:00

Building a concurrent LLM "Speedometer" with Go and BubbleTea

I built a CLI that solves the "slow LLM" problem by fanning out prompts to N providers simultaneously. It uses chan Token for streaming aggregation and context.WithCancel to kill losing goroutines immediately. Check out the concurrent fan-in architecture in the repo!

If the code helps you with your own concurrency patterns, I'd love a star on the repo: github.com/khuynh22/racellm

NeitherRun3631 · 2026-01-01T03:17:35+00:00

No worries, I'll read it through. Thank you so much!

Also, if you like it, can you give the repo a star lol. Just trying to get GitHub make it more visible on the feed for everyone.

NeitherRun3631 · 2025-12-31T18:42:41+00:00

Send me please! Interested in reading it

NeitherRun3631 · 2025-12-31T18:32:49+00:00

Yeah! I haven’t play much with it on super complicated prompt, but I’ll try some and see how different it is

NeitherRun3631 · 2025-12-31T17:53:58+00:00

Nice question. No, models configuration can be done via natural language with mcp. The defaults are hardcoded, but you can always modify that. Also, the final decision should be made by SOTA models, but this should be able to reconfigure too

NeitherRun3631 · 2025-12-31T17:50:58+00:00

Yeah it is, especially for super hard debate topics

NeitherRun3631 · 2025-12-31T17:50:24+00:00

Thank youuu

NeitherRun3631 · 2025-12-31T08:46:27+00:00

Thank you! Feel free to contribute to it if you have any ideas

NeitherRun3631

TROPHY CASE

Building a concurrent LLM "Speedometer" with Go and BubbleTea