SPKENLab

Market research · niche matrix · grounded capturability pass

→ Incumbent landscape (139 competitors mapped)

Can a photo actually capture the build? Usually, yes.

The earlier read — that occlusion “hides the gear” and disqualifies almost every niche — was too pessimistic. So we got real data: across ~18 niches we read actual posted build galleries and counted, per build, how many value-driving parts there are and how many wear legible brand/model text the camera can read. The finding: gear self-labels — brands silkscreen the model onto the camera-facing surface on purpose — so a hero shot plus one or two easy secondary shots (flip it, open the cabinet door, pull a keycap, angle at the crank) resolves 60–91%of a real multi-part build to exact model. “Looking under the hood” is fine when the hood opens easily. The residual gap is almost never a missing part — it's a spec attribute (RAM timing, motor KV, quilt temp rating) that's a DB lookup or a one-tap dropdown afterID. So the real question isn't “can we see it” — it's how capturable AND how valuable is the graph. The matrix below defaults to that ranking: capturability × graph value. Non-builds (a single-SKU watch, a loose EDC pile, a 2-part headphone chain) are dropped.

76%
avg capturability
12
builds ≥ 85% capturable
21
niches read directly
35
real builds ranked

Scenario — what Spoken IS (each re-weights the aspects + sets the capturability gate)

Four escalating definitions of the product/tech. Default is #4, the compat/spec-engine thesis.

A deterministic compatibility + spec engine on an owned, canonicalized DB that beats the manual builders. This is Spoken’s real direction — the default ranking. The weighting row up-weights Compatibility-cost, Hand-built knowledge, Spec-sheet, Codified demand, and Pain — the aspects that make a fit-mistake costly and the graph ingestible. Incumbent-free is one aspect, not a veto: a thriving incumbent proves the demand and is usually a manual builder Spoken can beat with photo input + an owned DB, so a niche isn’t dropped for having one — judge the incumbent’s beatability from the teardown.

Sorthimidlofit: Strong · Moderate · Weak · click a row for the grounded breakdown
#ScoreFitNicheCapVPCVisibilityNo-SKU / composedMust-infer moatCompatibility costIncumbent-freeCommunity sizeFrequencyPain intensityCodified demandNative photo inputHand-built knowledgeSpec-sheet availabilitySource fetchabilityHarvestabilityMonetizationCultural fit
weight for Engine
·
2
1
3
1.5
2
1.5
2
2
1
2.5
2.5
1
1
2
1.5
1885STRONGRoad/gravel cycling87%4453313233323333233
3083STRONGMountain biking83%4452313233323333233
882STRONGEurorack / modular synths90%5453313123323333332
2882STRONGPC building (internal components)87%4343313133223333333
2279STRONGFPV drones80%4442223223323333333
278STRONGHome lab / networking / self-hosting racks90%4343213223223233333
378STRONGCar audio builds80%4442223123323333333
1071STRONGCars / automotive mods (tuner/restomod)70%4332322233223332332
1371STRONGUltralight backpacking65%5532322323333322333
2771STRONGFirearms / AR-15 builds72%4352323133223233232
3370STRONGAstrophotography / telescope rigs75%4442213212322333233
769MODERATECinema / video production rigs91%4343213212213232233
1669MODERATEElectric guitar rigs (guitar/amp/cab)85%3323211133223332323
3269MODERATECameras / photography kits85%3333212233212233332
2068MODERATEMotorcycles (custom / cafe / mods)65%4332322233223332232
2567MODERATEGuitar pedalboards90%3323211223223232323
1166MODERATEUrban / fixed-gear / BMX bikes78%3332312222223233322
3165MODERATEBattlestations / desk setups (peripherals)90%3223311233113132332
464MODERATETurntable / vinyl hi-fi78%3332122221223332232
3664MODERATEHome theater / AV systems88%3233212122123332222
163MODERATEReef tanks / aquariums88%2233212223113232322
2163MODERATEOverland / van build / 4x472%4332312233213222332
2963MODERATEMechanical keyboards60%3331232123223332333
562WEAK3D printers (mods / upgrades)55%3331232223222333333
2461WEAKSim racing rigs88%3333212123213222322
660WEAKHome gym setups72%3232222332112233222
1759WEAKGolf club fitting / builds62%3331222323212332222
1458WEAKArchery / bow builds65%3332222222212333222
957WEAKE-bikes69%3332322222222222222
2656WEAKHome recording studios68%2222221322122232323
3755WEAKAirsoft / paintball loadouts62%3331222323212222223
3448WEAKFishing rod/reel/tackle setups70%2232112222112222222
1547WEAKSki / snowboard setups70%3232112221112222222
1945WEAKSkateboards / longboards65%2222121222112222222
3545WEAKScuba / dive gear70%2232212311111122222

Excluded — not a build: Desktop headphones · Home espresso · Watches · EDC. A single SKU (a watch), a loose collection that doesn’t interlock (EDC), or a 2–3-part chain (a lone headphone, an espresso machine + grinder) isn’t a composed multi-component build — nothing to graph.

Which niches change most across the 4 scenarios

Average capturability across the 35 real builds is 76%. The niches whose rank swings most depending on what Spoken IS — each peaks under a different definition of the product:

Mechanical keyboards
39738963
Visionthe no-text vision model unlocks it
FPV drones
57838679
Visionthe no-text vision model unlocks it
Car audio builds
57818578
Visionthe no-text vision model unlocks it
3D printers (mods / upgrades)
50717862
Visionthe no-text vision model unlocks it
Reef tanks / aquariums
42686563
Platformcommunity + sharables carry it
Cars / automotive mods (tuner/restomod)
54807771
Platformcommunity + sharables carry it
Ultralight backpacking
56827571
Platformcommunity + sharables carry it
PC building (internal components)
62877982
Platformcommunity + sharables carry it
Motorcycles (custom / cafe / mods)
54777568
Platformcommunity + sharables carry it

Score = capturability gate × the weighted 16 aspect ratings. Aspect ratings are fixed per niche and were re-audited for consistency with the grounded capturability + Value/Pain/Compat; the weighting row above the matrix shows how much each aspect counts under the current scenario, and switching scenarios re-weights (and re-gates) the same ratings. Incumbent-free is a normal aspect — not specially weighted. Click any row for the capturability breakdown, the 4-scenario read, and what the old page got wrong.

The correction

Occlusion was overstated

Gear is designed to be read: the model name is often the single largest, highest-contrast graphic on a part (a crank arm, an amp top-plate, a Eurorack panel, a tire sidewall). What's genuinely hidden is a small, specific tail — internal config or a spec attribute (voice-coil variant, motor KV, ECU tune, quilt temp) — and that's a database lookup after identification or a one-tap manual field, not a capture failure. The one true low-capturability niche is DIY e-bikes (potted, unlabeled controllers). Everything else clears ~65–91% with an easy secondary shot the community already takes.

The reframe (still holds)

The moat is the engine + owned DB, not the photo

Capturability being high doesn't hand you a moat — the photo delivers IDENTITY, which Google Lens/OCR commoditize. The defensible layer is the model→spec+compat ENGINE and an owned spec/compat DB incumbents lack (the catalog canonicalize work). The photo is the convenience on-ramp; the value is the graph you resolve it into. Rank niches by capturability × graph value, and prove the engine where the compat graph is already ~70% built.

Where bikes lands

The engine flagship

Bikes sit in the top cluster of the engine ranking (Scenario 4) alongside car audio and eurorack: ~83–87% capturable (GRX/105/GX model text is legible on crank, derailleur, levers, tire sidewalls), fit-mistakes are frequent + expensive (BB shell, freehub driver, derailleur capacity), the rules are already community-charted, and no strong incumbent owns the photo→compat graph. And it's the v0 by execution — Spoken already has ~70% of the bike compat graph built. Bikes has the SAME two problems every survivor-candidate has — real incumbents (BikePartPicker, comp.bike, Bike Matrix EUR1.1M B2B, 99spokes spec graph, Bicycle Blue Book valuation, imageidentifier.ai photo→bike+value) AND occluded axes (BB standard T47/BSA/PF, freehub driver HG/XD/Microspline, headset bearing, chain-stretch wear are all internal/never-printed). On the niche-attractiveness axis alone, bikes would be a KILL exactly like MTB, road/gravel, and fixed/BMX were. What changes the verdict is NOT the niche — it is the ~70%-built asset: parts.compat + the compat_for RPC already exist, so Spoken is not paying the cold-start cost that makes every other niche's graph a multi-month build before you even learn it's occluded. That reframes bikes from 'a niche to win' to 'the cheapest place to PROVE the model→spec compat engine works end-to-end,' because the graph is already standing. The head-start does NOT fix Gate 1 (the photo still can't read a pressed BB or a freehub driver) and does NOT clear Gate 2 (Wolf Tooth/GearGrindr/Bike Matrix already own deterministic compat) — so bikes is not a clean win either. It lands as: the lowest-marginal-cost demonstrator of the compat engine, valuable as the thing that's already built rather than as a defensible niche. Relative to the (empty) survivor set, bikes v0 is strictly ahead of every fresh niche on cost-to-first-working-graph and strictly tied with them (i.e. also failing) on defensibility.

Two corrections that flipped

Ultralight up, reef down

Ultralight rose to the top of the build-platform scenario: weight is the #1 pain, LighterPack is the native structured graph, and because spec-weights are distrusted there's an owned crowd-sourced true-weight DB to build — the photo can't read true weight, but that IS the one-tap/aggregate attribute that becomes the moat. Reef dropped: the hero shot people post shows livestock (~38% capture), the owner already knows their tank from the Apex dashboard, they rarely transact, and planners already exist — high capture, low value/pain.

The 4 scenarios — what Spoken is, each re-ranks the matrix

1 · Text scanner

Photo → OCR legible text → BOM. Hero-shot capture only. The layer Lens/OCR own — thin almost everywhere. The honest floor.

2 · Build platform

+ build pages, posters, community. Moat = network + pasteable artifact. Ultralight, PC, battlestations lead — big photo-native scenes.

3 · Vision model

+ owned no-text shape-ID. Turns 'legible = commodity' into a recognition moat. Keyboards jump (nothing is OCR-able), FPV, guitars.

4 · Compat / spec engine

+ deterministic compat on an owned DB. The thesis + default. Car audio, eurorack, bikes, home lab, FPV — frequent costly fits, ingestible rules.

Scoring is transparent: Score = a capturability gate × the 16 aspect ratings, weighted by the per-scenario weighting row shown above the matrix. The aspect ratings are fixed per niche and were re-audited (a second multi-agent pass) for consistency with the grounded capturability + Value/Pain/Compat — killing the earlier inflated all-3s that had floated low-value niches like reef to the top. Switch scenarios to re-weight (and re-gate) the same ratings; nothing re-rates the niche itself.

4 niches the critic flagged as missing — scored fresh

scored

Aquascaping / planted freshwater tanks

Worst-case Gate-1 failure of the whole pass: the culture photo is a deliberately equipment-HIDDEN beauty shot (IAPLC rule literally requires removing all in-tank gear; 'contests are in reality photography contests'). The value-driving mutually-constraining gear (CO2 regulator/solenoid, canister GPH, inline reactor, heater, PAR) is ~80-85% occluded behind a cabinet door, and its specs (working pressure, GPH, PAR) are never printed on any visible surface. The equipment graph is already served manually by AquaBuildPlanner + AqAdvisor + free CO2/turnover calculators, while every AI-photo app here IDs only livestock/plants. Fails both gates by the widest margin.

scored

2-channel bookshelf hi-fi separates

The compat rule (speaker impedance/sensitivity vs amp power) is public and already run by free calculators, so no unbuilt graph. And the single load-bearing spec — the measured impedance MINIMUM that actually decides amp overheat/protection-trip — is invisible in any shelfie, deliberately fudged by makers (nominal 8Ω dipping to 3Ω), and exists only in ASR/Stereophile measurement archives, never on the cabinet. Valuation owned by Audiogon Bluebook + HifiShark; loose photo→advice already default via ChatGPT+Lens. Neither gate.

scored

Smart-home / Matter-Zigbee-Thread rigs

The value-deciding fact (Zigbee vs Thread vs Z-Wave radio protocol) is invisible from device shape — two identical white sensors can be any of the three; protocol lives on the box/network, not the enclosure. Devices are also physically scattered (in-wall, ceiling, behind panels) so the rig isn't even in one frame. The compat graph is a fully-built free public good keyed on model TEXT (blakadder, Zigbee2MQTT's 5,521-device DB, Matter DCL, Z-Wave JS, SmartHomeCheck's 9,973 devices), topology is N independent pairwise checks (not a mutually-constraining BOM), and network-read tools (Fing, HA registry) auto-inventory strictly better than any photo. Both gates fail.

scored

Hobby CNC / laser

The ONE niche in the pass where the photo→graph wedge is genuinely unbuilt (all incumbents are manual catalogs) — so it uniquely clears Gate 2. But it dies decisively on Gate 1: value concentrates in the controller board sealed in an enclosure, the GRBL firmware chain ($32/$30/$10/$13) and LightBurn Core-vs-Pro config (0% visible, non-physical), belt type (steel-core vs kevlar visually identical), rails/ballscrews occluded under the gantry, and a large share of upgrades being 3D-printed no-SKU parts. The exact-model-spec surface Spoken needs is disproportionately the occluded/non-physical part. Unbuilt-but-unbuildable-from-the-image = still a kill.

Method + the caveats behind the scores →

Niches added on critique

  • Aquascaping / planted freshwater / hardscape tanks — DISTINCT from reef (which is on the list). Face-on 'journal' photo culture (IAPLC contest, r/PlantedTank), composed multi-component build (light + CO2 diffuser/regulator + filter + substrate + hardscape + plant list), real silent-failure compat pain (CO2 regulator↔solenoid↔diffuser bubble-rate, light-PAR↔plant demand, filter GPH↔tank volume), and AquaBuildPlanner covers freshwater too but is manual-entry and equipment-first, not plant/hardscape. Photo-native + no photo→BOM tool. Likely mid-80s.
  • 2-channel / bookshelf hi-fi separates (speakers + integrated amp/DAC/streamer/turntable as a SYSTEM) — the list has 'desktop headphones' and 'home theater AV' but NOT the huge passive-speaker + amp room-system niche. Genuine speaker↔amp impedance/sensitivity/power silent-failure pain (verified: 4-8ohm matching, series/parallel damage), rich forums (Audiogun/ASR/AudioKarma/r/audiophile), native 'system shelfie' photo culture, WTP high. Legible-text is the main knock. Probably ~80-83, would sit near headphones/hi-fi.
  • Smart home / home automation rigs (hub + sensors + Matter/Zigbee/Z-Wave/Thread devices) — SEVERE, notoriously silent cross-protocol compat pain (Aqara M3 only pairs Aqara Zigbee; Matter-vs-Thread-vs-Zigbee migration hell; blakadder community compat repo is the hand-built corpus to ingest = textbook §7 bootstrap). Real incumbent gap for photo→graph. Knocks: devices are physically scattered (not one photo), many carry legible model text, and the 'graph' is a network topology not a rack. Still a serious omission — plausibly ~78-82.
  • Home / hobbyist CNC + laser + small-shop machines (3018/Shapeoko/xTool/Ortur + controller + bits + upgrades) — active mod/upgrade culture (MGN-rail retrofits, controller swaps), G-code/software-chain compat (LightBurn/LaserGRBL, GRBL firmware), tool-loving affiliate-native maker audience adjacent to the 3D-printer niche already on the list. Should be scored explicitly rather than folded into 3D printers.
  • Home bar / cocktail & bar-tool setups AND home coffee-BAR (as distinct from 'home espresso' which is on the list) — 'coffee bar tour' / bar-cart shelfie culture is real and photo-native, but this is a WEAK candidate: it's a curated collection of legible-SKU bottles/tools, not a compat graph. Include it only to explicitly REJECT it (plays to Spoken's OCR flank like EDC), which strengthens the matrix's completeness.
  • Disc golf bags & archery-adjacent 'kit' setups, model-railway layouts (DCC decoder/loco/track compat), and diecast/Gunpla/scale-model builds — long-tail composed-hobby niches worth a one-line screen each; most likely fail on either legible-SKU collection (disc golf, diecast) or hidden-internals (DCC), but they belong in the 'considered-and-rejected' appendix so the list reads as exhaustive rather than arbitrary.
  • Tattoo machine / coil-vs-rotary rigs, welding/fabrication carts, and cosplay/prop-armor electronics — mentioned as a completeness sweep: each has a maker community but likely fails visibility or SKU-ness; flag as screened-out, not scored.

Weakest-evidence aspects

  • Community size / behavior-volume (aspect 6) — the WEAKEST-grounded number across the board. The source doc only has hard subscriber counts for ~9 anchor niches (r/battlestations 5.2M, r/buildapc 8.5M, r/Ultralight ~925K, Weight Weenies 56K, geekhack 140K, DPReview). For the ~30 EXPANDED niches (reef, car audio, turntables, home gym, cinema rigs, e-bikes, archery, ski/snowboard, golf, scuba, airsoft, etc.) the sizes appear inferred, and Reddit is explicitly firewalled in this environment (counts come from third-party aggregators = 'directional'). Every composite is weighted by a size number that was never directly verified for two-thirds of the list. Needs a dedicated pass pulling real subscriber/forum-post counts per niche.
  • Incumbent presence (aspect 5) — the single highest-LEVERAGE and most error-prone aspect. Scores swing 10-15 points on a one-line 'X already owns the layer' claim (AquaBuildPlanner, ToneFinder, PinkSlips, QuadPartPicker, FishForge, CinemaConfig, Ready Set Sim, AstroBin, 2nd Swing, Grin, EggRider, blakadder). Many are asserted from a single search hit; their ACTUAL coverage (do they do photo→BOM? compat? valuation? or just a manual builder?) is unverified and decisive. This aspect most needs a per-incumbent teardown. Critically, the matrix MISSES a horizontal incumbent — MakerManifest (kit.co's purpose-built successor, with a CSV importer + affiliate + explicit link-rot framing) attacks the always-live-build-page wedge across EVERY creator/gear niche, yet no niche's incumbent score reflects it.
  • Compatibility complexity + error-cost (aspect 4) — well-grounded for the anchor niches (bikes BB/freehub with dollar figures, keyboards group-buy loss, audio impedance math) but for the expanded niches the 'silent compat failure' claim is largely ASSERTED without a specific failure mode or cost. 'Silent impedance failure' (car audio), 'silent rail/PSU/PoE failure' (homelab), 'safety-critical compat' (ski/archery) each need one concrete, cited failure-mode + error-cost to justify the painkiller framing that props up the top scores. This is the aspect that separates a vitamin from a painkiller, so soft evidence here inflates composites the most.
  • Harvestability (aspect 14) — barely differentiated across niches yet it's a Family-D driver. The doc flags that Reddit is firewalled (~$12K/yr API) and FB post-search was removed, which GUTS harvestability for most niches, but the per-niche scores don't visibly vary on whether that niche's corpus lives on a fetchable forum (Weight Weenies/geekhack/mtbr = yes) vs Reddit/FB/IG (mostly no). A niche's true GTM harvestability should track its platform, and right now it reads as uniformly optimistic.
  • Monetization adjacency / WTP (aspect 15) — proven only for bikes (QuoteBuilder 'doubled close rate', D-Tools $99-150/mo) and affiliate-native creators. For the rest, 'high WTP' / 'affiliate-native' is inferred from market size, not from an observed price point or a paying comp. Home-gym '$1k-15k builds', golf 'valuation owned by 2nd Swing', scuba 'resale-gatekept' etc. mix build-cost (not the same as tool-WTP) with monetization — the aspect conflates 'expensive hobby' with 'will pay for THIS tool,' which is a common over-rating trap.

Least-trustworthy first-pass scores

  • Reef tanks / aquariums (93, #1) — OVER-RATED on ranking confidence. The composite leans on 'world-class commerce/affiliate WTP' and 'rich ingestible DBs,' but the scan-moat is questionable: much of a reef's value component (equipment — skimmer, return pump, controller, doser) sits in the SUMP/cabinet BELOW the display, occluded exactly like a PC's silicon, and livestock (fish/coral) is species-ID not part-ID. AquaBuildPlanner already ships equipment recommendations + compat checks + price tracking (verified live) — a stronger incumbent than the headline's 'manual compat layer' downgrade implies. #1 on a 39-niche list is a strong claim resting on partly-occluded components + an active incumbent; belongs closer to the homelab/car-audio cluster.
  • Home lab / networking / self-hosting racks (92, #2) — self-contradictory, likely OVER-RATED. Its own headline concedes 'bezels/chassis occlude half the value' and 'networking gear's legible model text makes single-part ID commodity' — those are the two TOP defensibility-killers in the framework (occlusion = aspect 1 gate; legible text = aspect 3). A niche that fails the #1 defensibility gate on half its components and the scan-moat on the other half should not sit at 92/#2. The rack is often a closed cabinet; the compat pain (PoE budget, PSU, rail depth) is real but the PHOTO can't see most of it. Over-rated by ~8-12.
  • Turntable / vinyl hi-fi (91) — OVER-RATED via one load-bearing claim: the 'shape-inferred cartridge moat.' Cartridges are tiny, often occluded under the headshell, and the high-value spec (compliance, stylus profile, tracking force) is NOT visually inferable at all — it's a datasheet lookup by exact model, and turntables/carts DO carry legible model text (Ortofon 2M Red, AT-VM95E are printed/branded). The 'no incumbent owning whole-setup ID' is plausible, but the scan-moat rationale is the weakest-supported of any top-5 and probably inflated the score.
  • Electric guitar rigs (83) vs Guitar pedalboards (79) — INTERNALLY INCONSISTENT and the ToneFinder claim is decisive-but-unverified. 'ToneFinder does photo→identify-every-pedal/amp/cab LIVE today' single-handedly caps guitar rigs; if that capability is overstated (many such tools are label-lookup, not true multi-item scan), the score is badly under-rated. Meanwhile pedalboards (a SUBSET of guitar rigs) scores LOWER (79) with overlapping incumbents — the two should be reconciled or merged; scoring the whole-rig higher than its hardest sub-component is backwards if the pedalboard is where the real occlusion/routing pain is.
  • PC building — internal components (78) — UNDER-RATED relative to its own logic, or mis-scored. The headline correctly says it FAILS Spoken's core thesis (PCPartPicker owns compat, legible text, occluded silicon) — that's a defensibility triple-fail that the anchor doc treats as near-disqualifying, yet 78 places it ABOVE turntables-adjacent and equal-ish to mechanical keyboards. Either the thesis-fail is real (score should be ~65-70, near watches/EDC) or it's not — 78 splits the difference incoherently.
  • Watches (70) and EDC (69) as 'controls' — these are correctly identified as single-SKU/legible-collection anti-patterns, but 69-70 is TOO HIGH for niches the framework says have 'nothing to bite on' / play 'to Spoken's OCR-exposed flank.' If they're genuine negative controls they should score in the 50s to actually anchor the low end; at 69-70 they're above scuba/fishing/AV, which undercuts their role as controls and suggests scores are compressed into a narrow 69-93 band (only 24 points spread across 39 niches = poor discrimination).
  • Home espresso (80) — the 'Google Lens already commoditizes single-item ID' knock is applied here but NOT consistently to equally-legible niches (sim racing 79, home recording 79, cameras 77 get it; but reef/homelab/turntable at the top arguably deserve the same discount and get a pass). The espresso score itself is plausible, but it exposes that the legible-text penalty is applied unevenly, which is what makes the top of the list less trustworthy than the middle.

GROUNDING: This matrix is an expansion of the 2026-07-01 research doc at C:\\Users\\iancg\\Documents\\GitHub\\Spoken\\docs\\market-research-grounded-value-2026-07-01.md (16 aspects = its §5; original ~9 niches = its §6). That doc only hard-verified ~9 anchor niches; the other ~30 in this matrix are extrapolations, which is the root of most trust issues below. HEADLINE GAPS: (1) Missing horizontal incumbent — MakerManifest (verified: purpose-built kit.co successor, CSV importer, affiliate, link-rot framing) attacks the build-page wedge across every creator/gear niche and is absent from all incumbent scores. (2) Missing niches — aquascaping/planted tanks (distinct from reef), 2-channel bookshelf hi-fi separates, smart-home/Matter-Zigbee rigs, and hobby CNC/laser are the four defensible omissions; the doc's own richest-niche shortlist (bikes, ultralight backpacking, battlestation/desk) all appear, so coverage of the TOP is good — the gaps are in the 78-88 band. BIGGEST SYSTEMIC WEAKNESS: score compression (24-pt band, 69-93) gives poor discrimination — the negative-control niches (watches/EDC) should sit in the 50s to properly anchor the low end. And the two most decisive aspects (incumbent presence + community size) are the two LEAST grounded per-niche, so the ranking order within the top 15 is far softer than the precise integer scores imply. RECOMMENDED DEEP-DIVES, in priority order: (1) per-incumbent capability teardown — for each 'X owns the layer' claim, verify: does X do photo→multi-item BOM? deterministic compat? valuation? or just a MANUAL builder? (this alone will move 6-10 scores). (2) real per-niche community-size + fetchable-corpus pass (kills the extrapolated size numbers). (3) one concrete cited compat-failure-mode + dollar error-cost per niche (separates painkiller from vitamin). Reef (#1), homelab (#2), and turntables (#3-tie) are the specific top-of-list scores I'd re-audit first because each rests on a single shaky load-bearing claim (occluded sump / occluded chassis / shape-inferred cartridge). Sources: https://www.aquabuildplanner.com/ ; https://makermanifest.co/blog/alternatives-to-kit-co ; https://www.quadpartpicker.com/ ; https://rotorbuilds.com/ ; https://modulargrid.net/ ; https://www.themasterswitch.com/how-to-match-speakers-and-amps ; blakadder Zigbee compatibility repo.

Capturability method: per niche we read real posted build galleries (RotorBuilds, ModularGrid, AVSForum, Reef2Reef, s2ki, RichRolls/road.cc, LighterPack, r/MK build logs, etc.), counted value-driving parts, and marked each part hero-legible / easy-secondary / truly-hidden. Capturability = (hero-exposed + easy-secondary) / parts. 21 of 35 niches are read directly (★); the rest are estimates pending a direct read. Excluded as non-builds: Desktop headphones, Home espresso, Watches, EDC.

Source of record: Spoken/docs/niche-matrix-2026-07-01.md · market-research-grounded-value-2026-07-01.md · bike-compat-graph-v0-spec.md. ~18 grounded capturability teardowns · synthetic-free.