For wildlife & habitat managers
Harvest data witha denominator.
A voluntary harvest log records the hunts that produced something and silently discards everything else. Because every hunt here begins as a booking, effort is captured whether or not anything was taken — and effort is what turns a pile of records into management.
Cost to you
$0
Included with the account that invites you
Capture point
Check-out
Not a February questionnaire
Export
CSV
Anything you can see
Records open
2027 season
In place for your first full season
The thing most systems miss
You already count what you killed.
What you almost certainly don't have is what it took. Without hunter-hours underneath it, last season's forty-one deer is a number that can't tell you whether the herd grew or November was just colder.
The usual record
41 deer harvested
True, and almost useless on its own. Up from thirty-four last season — because the herd grew, because two new members joined, or because it was colder in November?
The record with a denominator
41 deer · 1,180 hunter-hours
Now it is a rate you can compare across seasons, across stands, and against the doe-harvest target you set in July. That second number costs nothing extra — it is what a booking already is.
What gets recorded
Captured in the flow, not in a questionnaire.
Every field below falls out of a hunt that was booked, gated on a waiver, and checked out. Nobody is asked to remember anything in February.
Harvest records
Species, sex, estimated age, weight, and antler data where a club collects it — recorded while the animal is in front of the hunter.
Effort & hunter-hours
Who sat where, for how long, on what date, whether or not anything was taken. The denominator, free.
Sightings
Optional per-hunt sightings by species and sex, which is what makes buck-to-doe ratio estimates something other than folklore.
Pressure by area
Cumulative hunts per stand and per area across the season, so rest rotations are set from data instead of from argument.
Habitat work
Plots planted, burns conducted, timber stand improvement, and water work — logged against the acres they happened on and dated.
Compliance records
State harvest reporting obligations, CWD sampling, and carcass-movement rules for the specific unit the hunt happened in.
Who this serves
Four different people, one set of records.
| Role | What they need | What the booking record gives them |
|---|---|---|
| Club wildlife chair | Whether the doe harvest target was met and which areas are over-hunted | Harvest against target, and hunts per stand across the season |
| Consulting wildlife biologist | Age structure and effort trends across several client properties | Comparable rates per property, exportable, with consistent fields |
| Consulting forester | Whether habitat work is changing anything measurable | Habitat work dated and located, alongside harvest and sightings on the same acres |
| Landowner or lease manager | Proof the ground is being managed, not just hunted | A season record that justifies terms and pricing — in either direction |
If you advise landowners for a living, your advice should be provable.
The firms that publish lease-pricing guidance advise thousands of Southeastern landowners on what their ground is worth. If you advise landowners for a living, we would rather build what makes your advice provable than market around you. See the partner program.
Data ownership
The club owns it. You were invited.
A platform that quietly aggregates its customers' harvest data into a product it sells is a platform those customers should stop using.
Records belong to the ground
The club or landowner whose property produced the record owns it. Your access exists because they granted it and ends when they revoke it.
Export is a right, not a retention lever
Anything visible is exportable as CSV. We are a capture and organization layer, not your statistics package, and we do not compete with the tools you already use.
No silent aggregation
We do not pool client harvest data into a product. Contributing anonymised data to a state agency or research program is a decision the owner makes explicitly, or it does not happen.
Manager questions
The ones worth asking
What makes this data better than what I collect today?
Two things: it is complete, and it has a denominator. A voluntary harvest log captures the hunts that produced something and misses everything else, so you can count deer but not effort. Because every hunt here starts as a booking, you get hunter-hours by stand and by date whether or not anything was taken — which turns a pile of harvest records into a sightings-per-hour trend you can actually manage against.
Is harvest data really captured reliably?
It is captured at check-out, in the same flow that closes the hunt, which is the only moment anyone will ever do it. Age, weight, sex, and location while the animal is in front of them takes seconds. The same fields chased down in February are guesses, and everybody in this field knows it.
Who owns the data?
The club or landowner whose ground produced it. You get access because they invited you, and that access ends when they say so. We do not aggregate their harvest records into a product, and we do not sell them. If a club wants to contribute anonymised data to a state agency or a research program, that is their decision to make explicitly.
Can I export it?
Yes, in a form you can actually work with. Anything you can see, you can export as CSV for your own analysis — this is a capture and organization layer, not an attempt to become your statistics package.
When does this ship?
Before the 2027 season, so the records are in place for the first full season you would actually use them on. They are not part of the November 2026 opening — that first Colorado season is about proving dues, waivers, and stand assignments hold up under real use, which is also what makes the effort data underneath these records trustworthy when they land.
Records ship before the 2027 season
Tell us what you manage.
Ground, herd, or client list — we would rather design the record around what you actually need than ship a form and hope.