New Deer Stalking App - First Light

As a first iteration of an almost impossible task (creating a hunting/stalking app that suits everybody), I think you have done a great job! Nice work
 
That is a refreshing change, something that has had a lot of thought gone into it, with a huge bonus of being without "In App" purchases, or a charge to take up.
Well done Sir!:thumb::tiphat:
 
Smengal...Great effort..well done. Have you thought about collecting anecdotal data from users to further enhance the algorithm?
 
First Light — UK Deer Stalking Guide

Hi all,

I’ve been working on a free web app for UK deer stalkers called First Light, and thought I’d share it here to get some honest feedback from people who actually spend real time on the ground.

The idea came from wanting something simple that tells you exactly what you need before heading out — legal shooting times for your precise location, what the conditions are like, and whether it’s worth getting out of bed at 4am (or even earlier).

It’s to an extent a passion project and my way of giving something back to the deer management community. It’s also a small thank‑you to the people who’ve helped me improve as a deer stalker — especially Ian Farrington and Shadab Farooqi, who’ve both been brilliant mentors and influences.

📍 Legal shooting times

The app calculates legal start and legal end based on your set location, shows the live countdown, and works anywhere in the UK.


🦌 Deer activity forecast


This is a bit of geeky algorithm that generates live activity score built using several environmental factors and the research that’s out there.
The weighting draws on:
  • Beier & McCullough (1990) — patterns of deer movement relative to dawn/dusk
  • Lomas & Byers (2013) — barometric pressure as a predictor of ungulate activity
  • Ciuti et al. (2009) — temperature suppression of roe deer movement
  • Knight’s original solunar theory (1936) — still widely used and supported by various behavioural observations over the decades

The model then layers in:
  • moon phase
  • solunar periods
  • barometric pressure trend
  • temperature
  • wind
  • cloud cover
  • rut timing for all six UK species
  • seasonal body condition
  • time of day

Just to be upfront: it’s not a magic deer‑summoning tool. Local disturbance, forestry work, livestock, woodland density, and individual animals will always behave in ways no algorithm can fully predict.
There’s also far less UK‑specific movement research (especially for roe, fallow and muntjac) compared to the massive amount of North American whitetail literature, so the model blends what’s available with practical patterns most stalkers already recognise. It’s there to help you plan — not promise deer.

📅 7‑day outlook

Shows dawn/dusk movement windows and conditions for the week ahead so you can plan your outings around potentially better days.

📖 Field guide

This is the part I’m most keen to improve based on feedback.

It’s a quick reference you can use in the field, in the truck, or while brushing up for DSC1/DSC2. It covers:
  • Stalking Safety — firearms handling, high‑seat safety, backstop awareness
  • Deer Identification — species, sex and approximate age
  • Shot Placement — anatomy, angles and vital zones
  • After the Shot — blood sign, follow‑up, gralloch basics
  • Carcass & Larder — hygiene, contamination risks
  • Notifiable Diseases — bTB, CWD and legal reporting duties
  • Rut Calendar & Behaviour — timing and behavioural cues by species
  • Legal Calibres — minimum calibre and energy rules for England, Wales and Scotland

It’s not a replacement for proper training or having time on the ground with an experienced stalker — just something handy to have when you need a quick reminder.

🦌 Species guide


All six UK species with open seasons for England & Wales and Scotland, including the 2023 Scottish amendment that removed close seasons for all male deer.


📱 Free, no login, no ads


You can use it straight away at:


👉 First Light — UK Deer Stalking Guide


Add it to your home screen and it works like an app, including offline.

☕ Support


There’s an optional coffee link on the site.
It’s not for profit — it just helps cover:
  • domain
  • hosting
  • and ongoing development costs
Everything goes straight back into the app.
First Light will always be free.

🗣️ Feedback welcome


I’d genuinely appreciate corrections, suggestions, criticisms — anything really — especially from those who have far more years on the hill or in the woods than I do.

Terrific idea; l appreciate the time and effort that’s gone into it.

I am, however, falling at the first hurdle: How do l insert my exact location? I’ve pressed the “snoozing stalker” icon and everything else l can think of!

maximus otter
 
Terrific idea; l appreciate the time and effort that’s gone into it.

I am, however, falling at the first hurdle: How do l insert my exact location? I’ve pressed the “snoozing stalker” icon and everything else l can think of!

maximus otter
Hi Maximus,

There is a ✏️ icon, please click that.
 
Superb app. I appreciate the time and effort that you've put into making this, as I know it wouldn't have been a quick job.

Really impressed with the UI also and am looking forward to seeing how you refine it going forward.
 
Terrific idea; l appreciate the time and effort that’s gone into it.

I am, however, falling at the first hurdle: How do l insert my exact location? I’ve pressed the “snoozing stalker” icon and everything else l can think of!

maximus otter
That is the intuitive thing to do.
 
I would add in a cull record feature so that you take a photo of each beast and it records the location from the tags on photo. Useful both as a record but also to help relocate carcass when you have gone back with a vehicle, horse etc.
 
I would add in a cull record feature so that you take a photo of each beast and it records the location from the tags on photo. Useful both as a record but also to help relocate carcass when you have gone back with a vehicle, horse etc.
Yes, definitely something for version 2.
 
Smengal...Great effort..well done. Have you thought about collecting anecdotal data from users to further enhance the algorithm?
Thank you. It would need a proper database and a lot of real‑world data before it could predict anything reliably, but it’s definitely something I’d like to experiment with in a future version.
 
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