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Routing24

free route optimization agent for Claude Cowork/WebMCP

Details

External ID
48786769
Source
HN
Company
—
Product
Routing24
Website domain
github.com
Launched
July 4, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.46176821983273597
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

I've been building https://routing24.com for a while, a free route optimization and planning app for businesses.One of the things that bothered me for quite a time is inability of browser agents to work with Routing24.We have tons of natural tasks for AI:- data ingestion, to figure out data coming from user's side (csv and Excel);- geocoding quality validation (to explain user what they need to correct and their addresses and how);- steep learning curve for business users (who have sense of what they want from route optimization, but setting up the model takes significant time and effort);- explainability of route optimization decisions (which constraints conflict with each other, why orders are sequenced in a certain way, etc)- ...These and many others are very natural tasks for agentic AI in general as well as for desktop business AI assistants (Claude Cowork in particular).We came up to the realisation when were doing frontend testing from prompts, that used Chrome CDP, where AI instruments and controls the browser.Our build of Routing24 for integration testing has its state and action model fully exposed to AI tests via `window`, and driving complex test cases from prompts was nice and easy.Surprisingly, similar reduced state object exposed via `window` to Claude Cowork equipped with `javascript_tool` and browser extension made it possible to drive import, geocoding, optimization and explanation from agent like a charm, the whole app became one large tool+state.Further it turned our this approach is getting standartized as W3C WebMCP (already in preview in Chrome).Long story short: Routing24.com free route optimization now works in Claude Cowork and any future WebMCP-compatible agent!

Enrichment

Theme
browser automation and scraping for AI
Vertical
Logistics
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
route optimization agent for claude
Manually corrected
False

Could you build this?

Partial Creating the MCP agent wrapper and web dashboard is straightforward, but building a production vehicle route optimization engine requires complex operations research algorithms.

What it would actually take: A full-featured routing platform requires integrating combinatorial optimization solvers (such as Google OR-Tools or VROOM) with map routing engines (OSRM, Valhalla, or GraphHopper). The primary challenge lies in solving NP-hard vehicle routing problems (VRP) with heterogeneous fleets, capacity limits, and time windows under real-world road networks and traffic constraints.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 60 launches clear the similarity bar, closest 8 shown.

Attention rank: #33 of 61 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 248 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.