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A map of every UK railway, including stations that no longer exist

Hacker News

A map of every UK railway, including stations that no longer exist

Author here (Nathan). The goal for this site was to map the entire UK rail network: not just the parts a journey planner surfaces, but heritage lines, freight-only curves, named tunnels and viaducts, and the thousands of stations that have closed and were never mapped. The project is built entirely on open data. Lines and current stations come from OpenStreetMap via Overpass, closed stations from Wikidata (approximately 6,100 that fall outside a 250 m radius of a live OSM station), and postcode lookups from postcodes.io. The main challenge is that the sources rarely agree with one another, or even with themselves, so much of the work involved small reconciliation rules. For example, the heritage flag is propagated across every segment sharing a line name, so the Swanage Railway is coloured consistently. I shared an early version with a railway enthusiast community, and a large share of the fixes came from people who know the network considerably better than I do. A full write-up of the data challenges is available here: https://trainmap.co.uk/story.html No account or app is required. You can search by postcode, station name, three-letter code, or line name. Corrections are very welcome, as there is always a station someone knows I have got wrong.

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Hacker NewsStrong engagement from HN community · Strong signals: exist, ide, io · Missing: https docs, excited, just released
69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: code, open · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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