Lambda-G Optimiser
Route optimizer within 0.13% of LKH-3. One API call
What it does
TSP solver within 0.13% of LKH-3 — the gold standard for 20+ years. Beats Google OR-Tools. One API call: send coordinates or distance matrix, get optimal tour back. Works for delivery routes, warehouse picking, PCB drilling, DNA sequencing, telescope scheduling — any ordering problem. Built in Rust. 100 cities in 0.5s, 1000 in 3s. Free tier available. Lifetime pricing — no subscriptions.
Does a similar job
all alternatives →- P3Python 3 TSP solver based on LKH (cross platform)2019 · github.com · ▲57
- RORoute Optimization API2014 · routific.com · ▲70
- SMSmart model routing directly in Claude, Codex and CursorJun 2026 · github.com · ▲216
We built a model router that plugs into coding agents (e.g. Claude Code, Codex, Cursor, etc.) and intelligently sends requests to the best model to serve them. Here's a quick demo of running it locally: https://www.youtube.com/watch?v=isKhAyivtfM. At Weave, we write most of our code with AI, and it's been getting more expensive. This came to a head when Opus 4.7 was released and, thanks to its tokenizer changes, our costs shot up. We knew we didn't need Opus for everything but we didn't want to lose out on the intelligence for the cases where you really need it. So we decided…
- IWI wrote a book about using Lambda with Go2021 · ▲103
Hi HN! During the last few years, I worked on a few applications built with Go, running on AWS Lambda. As I got to know the platform better, I started to find Go & Lambda to be a really productive combination. The applications were fast, and they ended up being much cheaper to run than what my team & I had built before. It’s probably not the best platform for _every_ application, but I was surprised at how much of our workload worked well on it. As we brought new engineers on to our team and helped them get up to speed with the stack, I found that we were covering a lot of the same topics…
- OAOptimize and serve models with Fable quality at half the costJul 2026 · github.com · ▲71
Hi HN, we built world-model-optimizer, an open source tool to continually improve a specialized model for an agent. It does this by simulating production tool responses through text world modeling (similar to QwenAgentWorld, summary here https://x.com/silennai/status/2073887455884058814). We can then use this to train a router for frontier, OS, and local models (use defaults or pick which ones to optimize against). wmo ingests agent traces, builds the simulation, embeds the traces, runs different models you choose against the simulation scenarios, and then uses a KNN…
- PIPer-instance TSP Solver with No Pre-training (1.66% gap on d1291)Dec 2025 · ▲21
OP here. Most Deep Learning approaches for TSP rely on pre-training with large-scale datasets. I wanted to see if a solver could learn "on the fly" for a specific instance without any priors from other problems. I built a solver using PPO that learns from scratch per instance. It achieved a 1.66% gap on TSPLIB d1291 in about 5.6 hours on a single A100. The Core Idea: My hypothesis was that while optimal solutions are mostly composed of 'minimum edges' (nearest neighbors), the actual difficulty comes from a small number of 'exception edges' outside of that local scope. Instead of…
More dev tools this month
the category →
OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 2d ago · opentrailpaper.com
Open-source GTM skills for technical founders
Dev tools · 30d ago · gtmcofounder.com
Launched alongside, March 2026
the whole month →
Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
