Know what sells before you buy the filament.
Product research for desktop manufacturing. FilamentIQ indexes what people download, pairs it with what people actually buy, and tells you what a new listing would realistically sell — then prices the print on your machine, so you know the margin before you start.
Every figure shows its evidence and its confidence. The ones we cannot support are shown as missing, not filled in.
3D Printer Parts & Upgrades
Raspberry Pi 3 (B/B+), Pi 2 B, and Pi 1 B+ case with VESA mounts and more
Opportunity
74
Downloads
453.5K
Licence
Sellable
Downloads gained per day
| Design | Licence | Downloads | Downloads / dayeach row to its own scale | Score |
|---|---|---|---|---|
Raspberry Pi 3 (B/B+), Pi 2 B, and Pi 1 B+ case with VESA mounts and more by 0110-M-P | CC BY-SA | 453.5K | 66% | 74 |
Ender 3 Cable Chain by Jwhiskey3D | CC BY | 812.8K | 303% | 72 |
2020 / Ender 3 Filament Guide by Filboyt | CC BY | 730.3K | — | 72 |
GASB One - RC Flying wing fully printed (ONLY 9 PIECES GLUELESS) by Carletto73 | CC BY | 62.2K | — | 71 |
Chasis 1/10 Adaptable - DKS-Basic by dukedoks | CC BY | 50.3K | — | 71 |
Gear Bearing by emmett | CC BY-SA | 501.8K | —— | 71 |
See the whole market before you commit a single spool.
Designs indexed
300
Scored
300
Commercially sellable
156
Categories covered
6
Demand velocity across the index
Downloads gained per design, per day of coverage — the rate the designs we track are actually being taken, not how many we hold
Top of the index right now
Real designs, scored from their own download, make-through and licence signals
Raspberry Pi 3 (B/B+), Pi 2 B, and Pi 1 B+ case with VESA mounts and more
Solidsellable licence74Ender 3 Cable Chain
Solidsellable licence722020 / Ender 3 Filament Guide
Solidsellable licence72GASB One - RC Flying wing fully printed (ONLY 9 PIECES GLUELESS)
Solidsellable licence71Chasis 1/10 Adaptable - DKS-Basic
Solidsellable licence71
Where the opportunity is, by category
Average opportunity score across tracked niches
Most research tools sell you certainty. This one shows you the evidence.
A confident number you cannot check is worse than a range you can. Four differences, each of them visible on the next screen you open.
What you usually get
What you get here
A single sales estimate, with no error bars and no published method.
A range, and the odds of selling nothing.
Fitted to verified-buyer reviews — the one number on a marketplace that requires a real transaction — and reported as a distribution, because a point estimate of a heavy-tailed market describes the winners.
One blended “opportunity score” mixing searches, listings and sales.
Interest, competition and transactions, never added together.
A download is somebody taking a free file; a review is somebody who paid. Blend them and you cannot tell which half moved when the number changes — and the two halves imply opposite actions.
A number you have to take on faith.
The evidence under it, and what would make it wrong.
Every recommendation carries its sources, its capture date, its assumptions and the condition that would invalidate it. You can disagree with an answer for a reason.
An empty screen when a data source goes down.
A visible failure instead of a quiet zero.
“Nobody is buying this” and “we could not reach the connector” look identical as a blank chart. They are opposite facts, so they never render the same way here.
One loop, from “what should I sell?” to a file on the bed.
Four decisions stand between an idea and a product that pays. Each one has a module behind it, and each module shows the signals it used — so you can disagree with the answer for a reason.
Find the gap
A ranked queue of niches scored on demand against supply, plus a live index of real designs you can drill into category by category.
Confirm it's real
7/30/90-day download velocity and search momentum separate a niche that's rising from one that's already saturating.
Engineer the print
Measure the actual model, score 300 slicer configurations against it, catch the failure conditions, and re-pack the plate.
Prove the economics
Match the machine across FDM, resin, laser and CNC, compare candidates head to head, then model cost per part, payback and the ROI of a second printer.
Every other tool stops at “here’s a good niche.” This one costs the print.
Drop in an STL, 3MF or OBJ and the Model Analyzer measures it for real — volume, overhangs, bed contact — then prices the job on your machine and your filament, and tells you what will go wrong before you spend nine hours finding out.
Measured, not estimated
Signed-tetrahedron volume, overhang area, and the flat area actually touching the plate — the single best predictor of whether a part stays stuck.
300 configurations, scored
Every combination of layer height, walls, infill and pattern rated for time, material, strength, finish and reliability. You see the handful that aren't beaten on every measure at once.
Failure conditions, with evidence
Warp risk, overhang sag, thin-wall weakness and adhesion — each one naming the measurement that triggered it and what to change.
Plates combined, then exported
A model split across three plates gets read apart, re-packed onto one bed at the quantity you want, and written back out as a 3MF that opens in Bambu Studio.
Plate planner
256 × 256 mm
Plate 1 · Small
Plate 2 · Medium
Plate 3 · Large
One plate · 9 parts · 8 fewer plate changes
Solid volume
18.4 cm³
Overhang
12%
Bed contact
9.1 cm²
Per plate
9 parts
Illustrative figures. The analyzer reports your file’s own measurements, and states which are measured versus assumed.
Connected and pulling
Thingiverse
Official API · daily
Machine catalog
Curated specs
vPIC + Wikidata
Entity spines
Researched, not yet connected
Printables
API access pending
Etsy · Amazon
Approval-gated
Search volume
Licensing
Every figure on this page is a count from the design index — designs ingested from source APIs, scored from their own download, make-through and licence signals. Interest, competition and transaction evidence are kept apart and never blended into one number, and a signal we have not captured is shown as missing rather than as a zero. Read the methodology.
Stop guessing what to print. Start with the data.
Open the gap queue and see which niches are quietly under-supplied today.
Explore opportunities