Three days.8,123 finds.One pavilion.
PORTUGAL SMART CITIES SUMMIT · 12–14 MAY 2026 · FIL PAVILHÃO 3
snapshot · Sat, 16 May 2026 13:05:09 GMT · block #43,611
HEADLINE
Five numbers, snapshot at end of day three. Every figure is verifiable on-chain — the contract address is in the footer.
Distinct wallets that opted in to the hunt and tapped at least one tag.
NFC tags concealed across the venue — exhibitor booths, lounges, and stages.
Successful NFC taps at exhibitor tags. Repeat taps not counted.
FIL minted to players across all reward types. Settled on Nova Cidade testnet.
On-chain claims of physical merch from the pavilion store.
VENUE
Kernel-density of every NFC find, overlaid on the real FIL Pavilhão 3 floor plan.
ZONE BREAKDOWN
| Zone | Tags | Finds | Unique finders | % of all players | Top exhibitor |
|---|---|---|---|---|---|
| STAGES | 6 | 275 | 178 | 50.7% | Joana Welcome! |
| SECTOR 3A | 16 | 1,373 | 214 | 61.0% | Ordem dos Engenheiros |
| SECTOR 3B | 34 | 3,162 | 291 | 82.9% | Treasure Hunt boot (Nova Cidade stand) |
| SECTOR 3C | 30 | 2,160 | 215 | 61.3% | Rico |
| SECTOR 3D | 17 | 1,153 | 335 | 95.4% | apemeta |
Zone-level finds count every tag tap within the zone; one player can contribute up to one find per tag. Zone-level unique finders de-duplicates players across all tags in that zone.
EXHIBITORS
One row per verified exhibitor tag, 74 company booths. Operator test pins and player-named tags are excluded — those carry no booth identity. Sortable and searchable, with a top-10 podium and ranked find-distribution curve framing the spread.
TOP 10 BY FINDS
positions 1–3 · 4–10FIND DISTRIBUTION
74 exhibitor tagsEach point on the curve is one exhibitor, sorted by finds. The dashed reference lines call out the median (86), top-quartile, and top-decile thresholds. The top 10% of tags accumulated 17% of all finds — long-tail but not winner-take-all.
verified at block #43,611 · multiplier flag = 1.0× across all tags
ALL EXHIBITORS
| # | Exhibitor | Owner | Finds | % players | TTF | Spillover |
|---|---|---|---|---|---|---|
| 01 | 0x1234…abcd | 245 | 69.8% | 3h 04m | 73% | |
| 02 | 0x1234…abcd | 164 | 46.7% | 3h 17m | 76% | |
| 03 | 0x1234…abcd | 152 | 43.3% | 2h 24m | 93% | |
| 04 | 0x1234…abcd | 148 | 42.2% | 2h 26m | 93% | |
| 05 | 0x1234…abcd | 145 | 41.3% | 3h 04m | 91% | |
| 06 | 0x1234…abcd | 140 | 39.9% | 4h 20m | 90% | |
| 07 | 0x1234…abcd | 136 | 38.7% | 2h 50m | 94% | |
| 08 | 0x1234…abcd | 135 | 38.5% | 3h 05m | 87% | |
| 09 | 0x1234…abcd | 134 | 38.2% | 2h 60m | 88% | |
| 10 | 0x1234…abcd | 123 | 35.0% | 26h 04m | 85% | |
| 11 | 0x1234…abcd | 123 | 35.0% | 3h 49m | 96% | |
| 12 | 0x1234…abcd | 122 | 34.8% | 3h 40m | 90% | |
| 13 | 0x1234…abcd | 119 | 33.9% | 9h 34m | 97% | |
| 14 | 0x1234…abcd | 117 | 33.3% | 3h 47m | 88% | |
| 15 | 0x1234…abcd | 115 | 32.8% | 3h 33m | 78% | |
| 16 | 0x1234…abcd | 114 | 32.5% | 3h 01m | 75% | |
| 17 | 0x1234…abcd | 111 | 31.6% | 4h 26m | 93% | |
| 18 | 0x1234…abcd | 108 | 30.8% | 27h 00m | 95% | |
| 19 | 0x1234…abcd | 107 | 30.5% | 26h 50m | 87% | |
| 20 | 0x1234…abcd | 106 | 30.2% | 27h 08m | 89% | |
| 21 | 0x1234…abcd | 105 | 29.9% | 28h 18m | 90% | |
| 22 | 0x1234…abcd | 103 | 29.3% | 27h 10m | 89% | |
| 23 | 0x1234…abcd | 99 | 28.2% | 8h 57m | 95% | |
| 24 | 0x1234…abcd | 99 | 28.2% | 27h 24m | 87% | |
| 25 | 0x1234…abcd | 98 | 27.9% | 7h 29m | 95% | |
| 26 | 0x1234…abcd | 97 | 27.6% | 3h 19m | 87% | |
| 27 | 0x1234…abcd | 97 | 27.6% | 28h 04m | 88% | |
| 28 | 0x1234…abcd | 96 | 27.4% | 8h 37m | 91% | |
| 29 | 0x1234…abcd | 96 | 27.4% | 27h 25m | 72% | |
| 30 | 0x1234…abcd | 95 | 27.1% | 3h 05m | 88% | |
| 31 | 0x1234…abcd | 90 | 25.6% | 28h 39m | 98% | |
| 32 | 0x1234…abcd | 88 | 25.1% | 3h 31m | 74% | |
| 33 | 0x1234…abcd | 87 | 24.8% | 28h 36m | 77% | |
| 34 | 0x1234…abcd | 87 | 24.8% | 2h 59m | 75% | |
| 35 | 0x1234…abcd | 87 | 24.8% | 28h 08m | 92% | |
| 36 | 0x1234…abcd | 87 | 24.8% | 26h 53m | 92% | |
| 37 | 0x1234…abcd | 86 | 24.5% | 27h 46m | 99% | |
| 38 | 0x1234…abcd | 85 | 24.2% | 27h 55m | 79% | |
| 39 | 0x1234…abcd | 83 | 23.6% | 3h 21m | 81% | |
| 40 | 0x1234…abcd | 82 | 23.4% | 27h 33m | 94% | |
| 41 | 0x1234…abcd | 81 | 23.1% | 7h 03m | 77% | |
| 42 | 0x1234…abcd | 81 | 23.1% | 3h 32m | 74% | |
| 43 | 0x1234…abcd | 77 | 21.9% | 26h 46m | 83% | |
| 44 | 0x1234…abcd | 75 | 21.4% | 26h 57m | 88% | |
| 45 | 0x1234…abcd | 75 | 21.4% | 26h 56m | 97% | |
| 46 | 0x1234…abcd | 74 | 21.1% | 3h 24m | 89% | |
| 47 | 0x1234…abcd | 73 | 20.8% | 27h 18m | 84% | |
| 48 | 0x1234…abcd | 72 | 20.5% | 28h 20m | 92% | |
| 49 | 0x1234…abcd | 69 | 19.7% | 51h 05m | 83% | |
| 50 | 0x1234…abcd | 68 | 19.4% | 3h 31m | 85% | |
| 51 | 0x1234…abcd | 67 | 19.1% | 3h 35m | 73% | |
| 52 | 0x1234…abcd | 66 | 18.8% | 25h 57m | 85% | |
| 53 | 0x1234…abcd | 63 | 17.9% | 28h 10m | 81% | |
| 54 | 0x1234…abcd | 61 | 17.4% | 3h 19m | 95% | |
| 55 | NunoVieira | 61 | 17.4% | 32h 56m | 79% | |
| 56 | Avataris12 | 60 | 17.1% | 4h 33m | 85% | |
| 57 | 0x1234…abcd | 60 | 17.1% | 3h 26m | 72% | |
| 58 | 0x1234…abcd | 59 | 16.8% | 3h 55m | 86% | |
| 59 | 0x1234…abcd | 58 | 16.5% | 3h 29m | 83% | |
| 60 | 0x1234…abcd | 57 | 16.2% | 28h 24m | 91% | |
| 61 | 0x1234…abcd | 57 | 16.2% | 5h 18m | 91% | |
| 62 | Tiago | 57 | 16.2% | 4h 38m | 77% | |
| 63 | 0x1234…abcd | 55 | 15.7% | 27h 44m | 76% | |
| 64 | Leo18alves | 55 | 15.7% | 32h 59m | 95% | |
| 65 | 0x1234…abcd | 48 | 13.7% | 4h 13m | 83% | |
| 66 | 0x1234…abcd | 47 | 13.4% | 32h 07m | 85% | |
| 67 | 0x1234…abcd | 47 | 13.4% | 51h 44m | 85% | |
| 68 | 0x1234…abcd | 46 | 13.1% | 28h 58m | 83% | |
| 69 | 0x1234…abcd | 42 | 12.0% | 31h 07m | 88% | |
| 70 | 0x1234…abcd | 42 | 12.0% | 51h 44m | 86% | |
| 71 | Pedro Matos | 41 | 11.7% | 32h 59m | 90% | |
| 72 | 0x1234…abcd | 40 | 11.4% | 3h 53m | 92% | |
| 73 | 0x1234…abcd | 35 | 10.0% | 28h 05m | 91% | |
| 74 | ritabling | 18 | 5.1% | 55h 10m | 89% |
Replay-protected on-chain — each player counts once per tag, so Finds = Unique finders. TTF · time to first find from gate-open · Spillover · % of finders who hit a neighbor tag within 5 min.
MERCH FAIRNESS
Did the leaderboard winners take everything? Per-SKU velocity on one side, and a rank–claims scatter on the other, triangulate the answer.
MERCH VELOCITY
Sorted by volume — total units claimed by players. This is the fairest single number: an item with 200 units claimed beats one with 5, regardless of how fast the 5 went. Click any row for its claim curve.
DID THE WINNERS BUY THE MERCH?
Each dot is one player who bought ≥1 merch item. X-axis: their rank on the find leaderboard (1 = top, log scale). Y-axis: how many merch items they bought. A steep down-slope would mean leaderboard winners hoarded the merch; a flat cloud means everyone got a fair shot.
Trend is weak — high-ranked players bought slightly more, but the bulk of merch was claimed by mid-rank players. The merch race isn't the leaderboard race.
Merch distribution at PSCS 2026 was incredibly fair. The on-chain claim rate-limit prevented the leaderboard winners from sweeping inventory; the top-10 hunters captured only 11% of all merch claims.
ENGAGEMENT & COMMUNITY
Where players posted across the three days, and how their attention rose and fell hour by hour.
SOCIAL CLAIMS
Reward claims by platform.