Optimization Archives - Page 2 of 23

AI Route Optimization in Claude, Free: My MCP Server

AI route optimization usually means a paid app with a sales call and a “per driver per month” price. What I built is smaller and weirder: a free connector that lets Claude plan multi-stop delivery routes for you, with a real solver behind it, no account and no signup. You type “plan tomorrow’s deliveries for my 3 vans” in a chat, paste your addresses, and get back routes, arrival times and Google Maps links. It’s called the Fleet Route Optimizer, and it has been live in the Claude directory for about a month.

This post does a few things at once (I tried to split it and it kept coming back together): how to use it, how I built it, what the usage log says after the first month, and what I’m changing because of it.

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One Scratched Winger Was in 29% of My NHL DFS Lineups

On October 16 a single DFS late scratch sat in 29.1% of the NHL lineups I had built for a two-game slate. Egor Chinakhov, a $4,100 Penguins winger, was ruled out about 25 minutes before puck drop, and my Frozen Tools set had him in 134 of its 461 lineups. In the real DraftKings contests, 1.6% of entries had him. I have since rebuilt the night without him, checked four other nights, and added a “Check late news” button to my NHL lineup optimizer and the other three sports. The surprise is how little removing him changed.

A Free NBA Lineup Optimizer for DraftKings and FanDuel

The free NBA lineup optimizer is live. It builds lineups for DraftKings and FanDuel classic contests, there is no signup, and it makes up to 150 lineups from the player file you download from the site. The last step is a CSV you upload straight back.

It is the basketball version of my MLB, NFL and NHL optimizers. Same engine, different rules on top. The NBA season opens on October 20, 2026, so the timing works.

How to Play Fantasy Sports Strategically: My Review

A review of Haugh and Singal’s DFS paper on modeling opponents, and the simulation-based NHL lineup generator I built from it.

Earlier this week I wrote about what an MIT DFS paper taught my NHL lineup optimizer. Read that paper and you quickly run into its follow-up: Martin Haugh (Imperial College) and Raghav Singal (Columbia), How to Play Fantasy Sports Strategically (and Win), later published in Management Science. It builds directly on the MIT work and asks the one question that paper skipped: what is everybody else doing? Their answer is that to play fantasy sports strategically you can’t just maximize your own points. You have to beat a field of lineups you can’t see yet.

I read it for a selfish reason. I have been paper-trading my NHL lineups for a week (I build them before lock, then score them against the real DraftKings fields once the games are over), and after five slates no setup has made money. None of them (that is not a typo). So this post is half review, half lab notebook: what the paper does, what I borrowed, and the different kind of lineup generator I am building along the same lines.

▶ Try the NHL lineup optimizer — free, no signup

Bar chart of return on entry fees over five NHL slates with each night’s best prize removed: plain settings -81%, simulation picking by expected payout -71%, simulation with top-1% coverage -67%, power-play stack with Vegas filter -64%. The average entry loses about 16%. — Five DraftKings NHL slates, Oct 2–6, 2026, every contest filled to its entry cap and scored against the real field. Blue is the new simulation-based generator.

My NHL Lineup Optimizer Now Skips the Solver (Mostly)

My NHL lineup optimizer used to build every lineup the same way: hand the whole problem to a solver and wait. It now skips the solver for most of the work. It lists the stacks that are allowed, scores them, and picks the best one, and it does that for a whole batch on a DraftKings or FanDuel slate in about a tenth of a second. The solver I have always reached for is still in the tool, but as the referee rather than the player.

▶ Try the NHL lineup optimizer — free, no signup

Horizontal bar chart on a log scale. Time to build a batch of lineups with the solver versus the enumeration fast path: DraftKings 3-3 stacks 2.3 versus 0.1 seconds, FanDuel 3-2 stacks with cooldown off 44.9 versus 0.15 seconds. — Time to build the whole batch. The 3-3 rows were run through the app code on tonight’s DraftKings and FanDuel slates; the 3-2 rows were run against the engine directly on a FanDuel slate. FanDuel leaves its own projections blank this early in the season, so I used stand-ins, which do not change the timing. In every row the two methods produced the same lineup totals.