#!/usr/bin/env python3 """Render the profile page from profile.json. Every number on the page is read out of the JSON that profile.py computed from the chain -- none is typed here. Renders to /var/www/aaw/poidh-og/index.html and copies the five claim images beside it.""" import json, os, shutil, html SRC = os.path.dirname(os.path.abspath(__file__)) DST = "/var/www/aaw/poidh-og" p = json.load(open(f"{SRC}/profile.json")) # written by verify_claim.js from the chain, not from the send script's output R = json.load(open(f"{SRC}/claim355-result.json")) assert R["description_matches_file"] and R["uri"].endswith("/card.json") W = p["wallet"] made, claimed, cad, lang, img = p["made"], p["claimed"], p["cadence"], p["language"], p["images"] x = p["extras"] M = img["metrics"] BONF = 0.05 / len(M) # --- guards: the page must not outrun the data ------------------------------- assert made["n"] == len(made["list"]) and claimed["n"] == len(claimed["list"]) assert made["rank_by_eth_escrowed"] == 2, "the 'second-biggest funder' line is computed, not typed" assert abs(made["escrowed_eth"] - (made["paid_out_eth"] + made["reclaimed_eth"] + made["still_open_eth"])) < 1e-12 top3 = sorted(made["list"], key=lambda b: -b["eth"])[:3] assert all(b["eth"] >= 0.5 for b in top3) assert [b["id"] for b in top3] == x["top3_of_all"], "their three are not v1's three largest" assert x["top_funder_addr"] != W and made["rank_by_eth_escrowed"] == 2 give, back = x["nft_events"][3], x["nft_events"][4] # received #6, then forwarded it on assert give["token"] == back["token"] == 6 and back["to"].lower() == give["claim_by"].lower() for c in claimed["list"]: assert os.path.exists(f"{SRC}/imgs/{c['id']}.png"), c["id"] os.makedirs(f"{DST}/data", exist_ok=True) os.makedirs(f"{DST}/imgs", exist_ok=True) os.makedirs(f"{DST}/scripts", exist_ok=True) # the sentence says 'tag @artlu.eth', so count that exact instruction -- 'artlu' alone # also matches bounty #107's description, which mentions the handle without tagging it. tagcount = sum(1 for b in p['made']['list'] if '@artlu.eth' in b['desc']) assert tagcount < sum(1 for b in p['made']['list'] if 'artlu' in b['desc'].lower()) TAGWORD = {1:'One',2:'Two',3:'Three',4:'Four',5:'Five'}[tagcount] ndegen = sum(1 for c in json.load(open(f'{SRC}/events.json'))['claims'] if c['bountyId'] == 234) assert ndegen > 10 e = html.escape def f(x, n=4): return f"{x:,.{n}f}" # --- the colour table --------------------------------------------------------- LABEL = {"colourfulness": "colourfulness (Hasler & Süsstrunk)", "sat": "mean saturation", "val": "mean brightness", "dark_frac": "fraction of dark pixels (V<0.25)", "bright_frac": "fraction of bright pixels (V>0.75)", "grey_frac": "fraction of near-grey pixels (S<0.10)", "val_extremity": "distance of mean brightness from mid-grey"} rows = [] for k, v in M.items(): t = v["test"] sig = "yes" if t["p_two_sided"] < BONF else "no" rows.append( f"{LABEL[k]}{v['his_median']:.3f}" f"{v['base_median']:.3f}{v['pct_of_his_median']:.0f}" f"{t['p_two_sided']:.4f}{sig}") colour_rows = "\n".join(rows) img_cards = [] for c in claimed["list"]: col = c["colour"] img_cards.append(f"""
claim {c['id']} image
claim {c['id']} · {e(c['date'])} · on “{e(c['bounty_name'].strip())}” ({f(c['bounty_eth'])} ETH) · {'accepted' if c['accepted'] else 'not accepted'}
named {e(c['name'])}
colourfulness {col['colourfulness']:.1f} · saturation {col['sat']:.3f} · brightness {col['val']:.3f} · near-grey {col['grey_frac']*100:.0f}%
image on IPFS
""") bounty_rows = "\n".join( f"#{b['id']}{e(b['date'])}{f(b['eth'])}" f"{e(b['status'])}{e(b['name'])}" for b in made["list"]) claim_rows = "\n".join( f"{c['id']}{e(c['date'])}#{c['bounty']}" f"{e(c['bounty_name'].strip())}{f(c['bounty_eth'])}" f"{'accepted' if c['accepted'] else 'no'}{e(c['name'])}" for c in claimed["list"]) months = "".join(f"
" f"
{k[2:]}
{v}
" for k, v in cad["by_month"].items()) HTML = f""" Profile of a poidh v1 OG — 0x511aff…e4a5

Profile of a poidh v1 OG

Everything wallet 0x511aff…e4a5 did inside poidh v1 on Arbitrum (0xdffe8a4a…9b940, escrow and NFT in one contract), rebuilt from every log the contract ever emitted — and a measurement of the one question that isn't in the logs: are their claim images bright and colourful, or subdued? Built for poidh Base bounty #355.

{made['n']}
bounties made
{f(made['escrowed_eth'])}
ETH escrowed
#{made['rank_by_eth_escrowed']}
of {made['n_issuers']} v1 funders
{made['share_of_all_v1_eth']*100:.1f}%
of all v1 bounty ETH
{claimed['n']}
claims made
{claimed['n_accepted']}/{claimed['n']}
claims accepted
{f(claimed['earned_eth'])}
ETH earned
{cad['active_days']}
active days, over {cad['span_days']:.0f}
The short version. This is poidh v1's patron, not its player. They put {f(made['escrowed_eth'])} ETH into the app — {made['share_of_all_v1_eth']*100:.1f}% of every ETH ever escrowed in a v1 bounty, second only to the wallet that opened v1's very first bounty, on {f(x['top_funder_eth'])} ETH — and took {f(claimed['earned_eth'])} ETH back out. They wrote the three largest bounties in v1 history. They appeared in a burst, vanished for a month, came back for the big ones, and left after {cad['span_days']:.0f} days. And in an app called pics or it didn't happen, they never once posted a picture they took: {claimed['n']} claims, {claimed['n']} images, and every one is a phone screenshot or a stock photo.

Who they are, and where the line is

The wallet identifies itself. {TAGWORD} of its {made['n']} bounty descriptions instruct claimants to “tag @artlu.eth”, one is titled “catch artlu.eth casting this weekend”, and the handle @artlu99 is visible in two of the claim screenshots below. That is as far as this profile goes: on-chain behaviour, plus the public handle the wallet published about itself in its own bounty text. Nothing here comes from off-chain identity lookups.

What they liked making

Two modes, {x['biggest_to_smallest_ratio']}× apart in size, and nothing in between.

The pattern underneath both: every bounty is about their own stack. Farcaster clients they want tried, a bot they want built, their own site they want broken, their own dropdown menu they want fixed. They never funded a meme.

{bounty_rows}
bountyopenedETHoutcometitle

{made['n_paid']} paid out, {made['n_cancelled']} cancelled and refunded. That is {f(made['reclaimed_eth'])} ETH offered and taken back — not stinginess, but the arithmetic of asking for hard things: the two security bounties that did pay went to people who did the work, and the ones that didn't found no takers.

What they liked claiming

{claimed['n']} claims, {claimed['n_accepted']} accepted — against a corpus rate of {p['corpus']['accepted']}/{p['corpus']['claims']} ({100*p['corpus']['accepted']/p['corpus']['claims']:.0f}%). Never a build bounty, never a big one. Two are chores for poidh itself (interact with its Twitter, record a walkthrough of cancelling a claim); three are community play — a new-year airdrop, a riddle, and a basketball video.

{claim_rows}
claimdateonbountyETHacceptedtitled

The one claim that was not accepted is the only one where they said what they'd do with the money: “if I win, the proceeds will be recycled into another bounty.” It lost a {ndegen}-way scramble for a 0.05 ETH new-year airdrop — the largest field of claimants on any bounty they ever touched.

Were they consistent or sporadic?

Sporadic, with a shape. {cad['n_actions']} on-chain actions on {cad['active_days']} distinct days spread over {cad['span_days']:.0f} days — first {e(cad['first'])}, last {e(cad['last'])}. The median gap between two actions is {cad['median_gap_days']:.1f} days and the longest is {cad['longest_gap_days']:.0f}; more than half of everything they ever did happened in their first fortnight.

{months}

actions per month

How they wrote

Bright and colourful, or subdued?

This is the only question in the bounty that the logs cannot answer, so I measured it. I pulled every one of their claim images, and, as a baseline, a seeded random sample of {img['baseline_n']} of the other {img['baseline_of']} claim images in v1 (seed {img['sample_seed']}, recorded in sample.json, so anyone can redraw exactly the same sample). Each image is measured at 256px on the long side for Hasler & Süsstrunk colourfulness and for HSV saturation and brightness.

{''.join(img_cards)}

The answer is neither. They are not colourful and they are not subdued — they are screenshots, and screenshots have a colour signature: almost no colour at all, and brightness pinned to one end of the scale, because a UI is either light mode or dark mode. Four of the five are phone screenshots of X or Farcaster; the fifth is a stock photograph of a Lucky Strike packet, which they did not take either. Their median image is {M['grey_frac']['his_median']*100:.0f}% near-grey pixels against a corpus median of {M['grey_frac']['base_median']*100:.0f}%, and sits further from mid-grey in brightness than {M['val_extremity']['pct_of_his_median']:.0f}% of the corpus.

{colour_rows}
metrictheir mediancorpus median percentileexact psurvives correction
What five images can and cannot show. The p-values are exact permutation tests on rank sums (mid-ranks for ties, no simulation), two-sided. I ran {len(M)} metrics, so the Bonferroni line is 0.05/{len(M)} = {BONF:.4f} — and nothing clears it. The strongest, near-grey fraction at p = {M['grey_frac']['test']['p_two_sided']:.4f}, would be significant if it were the only test I had run, and it was not. So the honest claim is the descriptive one, which needs no statistics: I opened all five images and looked at them, and four of five are UI screenshots. The measurements agree with the eye and are consistent in direction; with n = {M['sat']['test']['n1']} they are not proof on their own.

Three things the logs kept

After v1

They left v1 on {e(cad['last'])} and kept going elsewhere: three more bounties on poidh v2 — Base #222 (0.017 ETH, a Farcaster bot, Nov 2024), Degen #908 (11,111 DEGEN, FramesV2 for an interview series, Jan 2025) and Base #752 (Oct 2025) — all three claimed and paid. Two years on, the pattern holds exactly: still funding, still about their own stack, still never claiming.

Method, and how to check it

""" open(f"{DST}/index.html", "w").write(HTML) for c in claimed["list"]: shutil.copy(f"{SRC}/imgs/{c['id']}.png", f"{DST}/imgs/{c['id']}.png") for n in ("events.json", "meta.jsonl", "colour.jsonl", "sample.json"): shutil.copy(f"{SRC}/{n}", f"{DST}/data/{n}") for n in ("fetch_meta.js", "analyze_imgs.py", "profile.py", "gen_page.py", "gen_card.py", "check_claim.py", "claim355.js", "verify_claim.js", "claim355.txt"): shutil.copy(f"{SRC}/{n}", f"{DST}/scripts/{n}") shutil.copy(f"{SRC}/profile.json", f"{DST}/profile.json") shutil.copy(f"{SRC}/claim355-result.json", f"{DST}/claim355-result.json") print("wrote", f"{DST}/index.html", os.path.getsize(f"{DST}/index.html"), "bytes")