GitNova

GitHub seismograph — discoveries and growing interest

GitNova Daily discoveries — October 16, 2026 · 16:00 MSK

Three discoveries with different uses, selected from the projects GitNova tracks. This edition was saved on October 16, 2026, 13:00 UTC.

Summaries come from README digests. Magnitude measures growing interest; installation has not been tested. Star counts below refer to the stated UTC day at the time shown.

Supermedo/uncharted_pc

Apps · C++

+216stars on 2026-10-16 · UTC

Native Windows port of Uncharted: The Nathan Drake Collection (PS4) that runs the original game code and translates graphics to Vulkan. Requires your own decrypted game dump; no game files included.

Useful for
  • Launch Uncharted 1-3 on Windows at 60 or 120 FPS with keyboard, mouse or controller.
  • Enable NVIDIA DLSS or AMD FSR for upscaling, anti-aliasing and frame generation.
  • Add the game to Steam and desktop shortcuts via the launcher and update automatically.
Before using
  • License: GPL-2.0
  • Installation and requirements have not been verified; review the README before running
Explore project

Why now

Created on GitHub
2026-10-15 UTC
First seen by GitNova
2026-10-15 UTC
Magnitude
7.3 / 10 · growing interest

Not enough consecutive complete history days to compare daily gains

Measured: October 16, 2026, 12:25 UTC

Measurement details
  • Created on GitHub: 2026-10-15; first seen by GitNova: 2026-10-15 (UTC)
  • +216 stars measured 2026-10-16, 00:04–12:11 UTC
  • Not enough consecutive complete history days to compare daily gains
  • Magnitude 7.3/10

K-Dense-AI/scientific-agent-skills

AI agents · Python

+629stars on 2026-10-16 · UTC

A library of 166 ready-to-use skills for AI agents covering bioinformatics, chemoinformatics, medicine, materials science and more, with access to 100+ scientific databases. Compatible with Cursor, Claude Code, Codex and the open Agent Skills standard.

Useful for
  • Attach skills to Claude Code or Cursor to analyze single-cell RNA-seq data
  • Run virtual screening and molecular docking through an agent
  • Build an LC-MS/MS data processing pipeline for proteomics
Before using
  • License: MIT
  • Installation and requirements have not been verified; review the README before running
Explore project

Why now

Created on GitHub
2025-10-19 UTC
First seen by GitNova
2026-09-23 UTC
Typical day
+138 stars · median of 28 complete days
Magnitude
6.8 / 10 · growing interest

Already 4.6× a typical complete day; a spike in interest, not a quality score

Maximum over those 28 complete days: +1,162 on 2026-10-15; the current measurement has not exceeded it (UTC)

Measured: October 16, 2026, 12:25 UTC

Measurement details
  • Created on GitHub: 2025-10-19; first seen by GitNova: 2026-09-23 (UTC)
  • +629 stars measured 2026-10-16, 00:05–12:11 UTC
  • Usually: +138 stars/day — median of 28 complete days 2026-09-18–2026-10-15 (UTC)
  • Already 4.6× a typical complete day; a spike in interest, not a quality score
  • Maximum over those 28 complete days: +1,162 on 2026-10-15; the current measurement has not exceeded it (UTC)
  • Magnitude 6.8/10

lightseekorg/tokenspeed

Language models · Python

+168stars on 2026-10-16 · UTC

TokenSpeed is an open-source LLM inference engine for agentic workloads, combining TensorRT-LLM-level performance with vLLM-level usability. It separates a C++ control plane from a Python execution plane and ships a pluggable kernel subsystem including fast MLA implementations.

Useful for
  • Deploy a low-latency LLM server for agentic workloads on NVIDIA or AMD GPUs
  • Benchmark tokens-per-second per user against TensorRT-LLM on the same model and hardware
  • Extend the kernel registry with custom kernels for a new accelerator backend
Before using
  • License: MIT
  • Installation and requirements have not been verified; review the README before running
Explore project

Why now

Created on GitHub
2026-05-06 UTC
First seen by GitNova
2026-10-15 UTC
Typical day
+3 stars · median of 28 complete days
Magnitude
6.8 / 10 · growing interest

Already 56.0× a typical complete day; a spike in interest, not a quality score

Maximum over those 28 complete days: +313 on 2026-10-15; the current measurement has not exceeded it (UTC)

Measured: October 16, 2026, 12:25 UTC

Measurement details
  • Created on GitHub: 2026-05-06; first seen by GitNova: 2026-10-15 (UTC)
  • +168 stars measured 2026-10-16, 00:05–12:11 UTC
  • Usually: +3 stars/day — median of 28 complete days 2026-09-18–2026-10-15 (UTC)
  • Already 56.0× a typical complete day; a spike in interest, not a quality score
  • Maximum over those 28 complete days: +313 on 2026-10-15; the current measurement has not exceeded it (UTC)
  • Magnitude 6.8/10

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Three GitHub discoveries in each edition

What they do, why they are gaining interest, and what to check before using them.

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