Here is the trade that nobody puts on a landing page: spend $0 on mainnet gas, interact with a chain while it is still a testnet, and position yourself for a token generation event that pays retroactively. This is not a niche play. Hyperliquid put 31% of its total HYPE supply into the hands of early users in November 2024, with zero VC allocation diluting the pot — early users who had simply used the platform before there was a token. On the other side of the ledger, zkSync sent its ZK airdrop to 695,232 eligible wallets and, per community postmortems, nearly 90% of all addresses that had interacted with the network walked away with nothing. Same crypto market, same year, two completely different outcomes. The difference was not luck. It was preparation, and understanding exactly which filters decide who gets paid.
Why testnet-first is the highest-leverage position in crypto right now
The airdrop economy is shrinking in headline dollars and getting more selective at the same time. Token airdrops distributed roughly $19 billion in 2024, then about $4.5 billion across 2025 according to CoinLaw’s aggregation of Decrypt’s year-end data. That sounds like the end of an era — until you look at where the remaining money actually flows. Projects that do airdrop are putting a larger share into verified, non-sybil, genuinely-active addresses, because that is the only way they can defend the distribution from bots and keep the token from being instantly dumped by mercenary farmers. The per-wallet payout is going up for people who do this properly, and going to zero for everyone else.
Testnets are where that selection gets made, cheaply. A testnet is a full copy of a chain’s infrastructure running on worthless tokens. Every dApp, bridge, and rollup that plans to launch a token has to prove it works before mainnet — and the teams that run these testnets need real, sustained, human-shaped usage to validate the network before they invite capital in. When the token comes, the team has to decide who “real usage” was. That decision is the airdrop.
Look at what actually happened with Monad. Its public testnet launched in February 2025 and, per Binance’s coverage at the time, the network was processing hundreds of millions of RPC requests within twelve hours of going live — a level of coordinated, mostly-sybil traffic that would have been economically impossible to sustain on mainnet. When the MON airdrop actually opened in October 2025, it went to roughly 289,000 wallets, per the Monad Foundation’s own disclosure. A farmer who had set up automated, human-shaped testnet activity in early 2025 was positioned for that payout at essentially zero cost. A farmer who waited for the airdrop announcement paid full mainnet gas and got nothing, because the snapshot was already taken.
The two filters that decide whether you get paid or filtered
Every serious airdrop since Arbitrum has used a variant of the same two-stage filter. Understanding it precisely — not approximately — is what separates wallets that get paid from wallets that get silently excluded.
Filter 1: Sybil clustering. The project looks at the graph of who-transacted-with-whom across the entire network and asks: do these addresses behave like one person running many wallets, or like independent users? LayerZero is the canonical case — the team flagged roughly 800,000 addresses as potential sybils before its ZRO token launch in 2024, per Cryptonews’ reporting at the time. Arbitrum ran a public “sybil hunting” program before its airdrop, where security researchers were literally paid bounties to find clusters of related addresses and get them excluded. The lesson for a farmer: your 40 wallets that all interact with each other, get funded from the same CEX withdrawal, and use the same contract on the same day are one wallet in the eyes of any graph analysis tool — and one wallet gets paid once, not forty times.
Filter 2: Behavior heuristics. This is the part most guides get wrong. Arbitrum Foundation’s own eligibility documentation spells out the exact scoring rules it used, and it is worth reading them because nearly every serious airdrop since has copied the shape:
- You earn one point per qualifying action, up to a cap (Arbitrum’s cap was 12 points for users).
- A points table converts points directly into tokens. In Arbitrum’s pre-Nitro table, 3 points earned 1,250 ARB, 4 points earned 1,750, 5 points earned 2,250, scaling up to 10,250 ARB at 12 or more points. More sustained activity = exponentially more tokens, not linearly.
- Anti-burst penalty: if all of a wallet’s transactions happened within a 48-hour window, one point was subtracted. Translation: a wallet that does everything in one afternoon screams “scripted farm” and gets downgraded.
- Anti-bot penalty: if a wallet never interacted with more than one smart contract, one point was subtracted. Translation: hammering one faucet or one bridge for 500 transactions is not “activity,” it is noise.
Now cross-reference those two penalties with what most airdrop guides actually tell you to do — “bridge once a week, mint an NFT, done.” That is a strategy for hitting the absolute minimum tier, not for the exponential upper tiers where real money lives. The correct play, per Arbitrum’s own published framework, is: fewer wallets, each with sustained multi-week activity, across several different contracts, with genuine gaps in timing that make the behavior indistinguishable from a human who actually uses the chain. Quality per wallet beats quantity of wallets. Always.
Tool 1 — Testnet Airdrop Radar (tested, exit 0)
You cannot farm a testnet you do not know exists. This script watches public crypto-news RSS feeds (CoinDesk, Cointelegraph, Decrypt — all free, no API key) and scores every headline against signal keywords, flagging anything that smells like a new testnet, an incentivized points program, a token generation event, or an eligibility-list disclosure. It keeps a local state file so it only reports new items between runs, and appends hits to a CSV so you can build a private pipeline of opportunities without paying for any “alpha group.”
I ran this on the day this article was published. It exited 0 and caught a live mainnet-launch headline on its first pass (see the output below — real, not staged):
#!/usr/bin/env python3
"""
Testnet Airdrop Radar - watches public crypto-news RSS feeds for testnet/airdrop
signal keywords and appends hits to a local CSV scoreboard.
Zero API keys. Zero paid services. Stdlib + feedparser only.
Tested live against real public RSS feeds (CoinDesk, Cointelegraph, Decrypt).
"""
import csv
import hashlib
import os
import sys
from datetime import datetime, timezone
import feedparser
# --- Config -----------------------------------------------------------------
FEEDS = [
"https://www.coindesk.com/arc/outboundfeeds/rss/",
"https://cointelegraph.com/rss",
"https://decrypt.co/feed",
]
# Signal keywords, weighted. Higher weight = stronger buying signal.
KEYWORDS = {
"testnet": 3,
"incentivized testnet": 5,
"public testnet": 4,
"points program": 4,
"airdrop": 2,
"token generation event": 5,
"tge": 3,
"mainnet launch": 3,
"eligible wallets": 5,
"claim": 1,
}
STATE_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "seen_items.txt")
CSV_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "signals.csv")
def load_seen():
seen = set()
if os.path.exists(STATE_FILE):
with open(STATE_FILE, encoding="utf-8") as f:
seen = {line.strip() for line in f if line.strip()}
return seen
def save_seen(seen):
with open(STATE_FILE, "w", encoding="utf-8") as f:
f.writelines(s + "\n" for s in sorted(seen))
def score(text):
"""Case-insensitive keyword scoring. Returns (score, matched_keywords)."""
text = text.lower()
total, matched = 0, []
for kw, weight in KEYWORDS.items():
if kw in text:
total += weight
matched.append(kw)
return total, matched
def main():
seen = load_seen()
new_signals = 0
for feed_url in FEEDS:
try:
feed = feedparser.parse(feed_url)
if feed.bozo and not feed.entries:
print(f"[warn] feed broken: {feed_url}", file=sys.stderr)
continue
except Exception as exc:
print(f"[warn] fetch failed: {feed_url} ({exc})", file=sys.stderr)
continue
for entry in feed.entries[:40]:
title = entry.get("title", "").strip()
summary = entry.get("summary", "")[:600]
link = entry.get("link", "")
if not title or not link:
continue
item_id = hashlib.sha256(link.encode()).hexdigest()[:16]
if item_id in seen:
continue
seen.add(item_id)
hit_score, matched = score(title + " " + summary)
if hit_score < 3: # noise floor: filter out single-weak-keyword items
continue
print(f"[HIT {hit_score:>2}] {title[:90]}")
print(f" keywords: {', '.join(matched)}")
print(f" {link}")
new_signals += 1
is_new_file = not os.path.exists(CSV_FILE)
with open(CSV_FILE, "a", newline="", encoding="utf-8") as f:
w = csv.writer(f)
if is_new_file:
w.writerow(["ts", "score", "title", "url"])
w.writerow([
datetime.now(timezone.utc).isoformat(timespec="seconds"),
hit_score, title, link,
])
save_seen(seen)
print(f"\nScanned 3 feeds -> {new_signals} new signal(s) above noise floor.")
return 0
if __name__ == "__main__":
sys.exit(main())
To run it:
pip install feedparser
python3 testnet_monitor.py
Real output from the live run during writing (exit code 0):
[HIT 3] Unlimit founder backs Phase blockchain with $45M as mainnet launches
keywords: mainnet launch
https://cointelegraph.com/news/unlimit-founder-phase-blockchain-mainnet-launches
Scanned 3 feeds -> 1 new signal(s) above noise floor.
A second run immediately after returned zero new signals (correct — the state file deduplicated the same headline). On a busy news day, a cron job running this every few hours will quietly build you a CSV of every testnet announcement, incentive program, and eligibility disclosure without you reading a single feed manually. That CSV is your work queue. Install it on any $5 VPS and you have a permanent early-warning system for under $0.17/day — less than the gas cost of a single speculative mainnet transaction.
Tool 2 — the Sybil-Resistant Activity Qualifier (tested, exit 0)
Reading Arbitrum’s rules is one thing. Having your wallet graded against them before you waste three weeks of activity on a chain that will filter you is another. This script pulls a wallet’s actual outbound transaction history from Blockscout’s free public API (no key required, works for 100+ chains) and grades it against the same three filters Arbitrum published: minimum 3 transactions, a 48-hour burst penalty, and a single-target “bot pattern” flag. It assigns an “Arbitrum-table equivalent” tier so you can compare wallets in units you already understand, and it works on testnets too — swap the BASE_API constant to any Blockscout-supported testnet explorer and it works identically.
I ran it live against three real Sepolia wallets on the day of writing, exit code 0. Wallet A is a moderately active address with 21 outbound transactions spread across many targets and no burst — it grades clean. Wallet B is the famous burn address with zero outbound transactions — correctly marked not eligible. Wallet C is a busy single-contract hammer — flagged WEAK. Real output:
== 0x976EA74026E726554dB657fA54763abd0C3a0aa9
outbound txs : 21
48h burst : False
single target: False
tier : 10,250 token-units (Arbitrum-table equivalent)
verdict : ELIGIBLE
== 0x000000000000000000000000000000000000dEaD
outbound txs : 0
verdict : NOT ELIGIBLE (no outbound transactions found)
== 0xfd9265Bb88101Dc214df471B6251969be01910b1
outbound txs : 248
48h burst : True
single target: True
tier : 7,250 token-units (Arbitrum-table equivalent)
verdict : WEAK (all txs to one target: bot pattern, penalty risk)
#!/usr/bin/env python3
"""
Testnet Wallet Qualifier - grades testnet wallets against anti-sybil rules
modeled on the official Arbitrum airdrop qualification framework
(docs.arbitrum.foundation -> airdrop eligibility & distribution):
RULE 1 (tx count) : 3 tx = 1,250 | 4 = 1,750 | 5 = 2,250 | ... | 12+ = 10,250
RULE 2 (anti-burst) : ALL txs inside one 48h window -> one tier down
(official rule: "all txs in 48h period -> one point subtracted")
RULE 3 (anti-bot) : all txs hitting the SAME contract -> flagged
(official rule: "hasn't interacted with more than one
smart contract -> one point subtracted")
Data source: Blockscout public API (eth-sepolia.blockscout.com), free, no key.
Tested live against real Sepolia wallets. For another chain, swap BASE_API —
Blockscout covers 100+ chains with the same API shape.
"""
import json
import sys
import time
import urllib.error
import urllib.request
from datetime import datetime
BASE_API = "https://eth-sepolia.blockscout.com/api/v2"
UA = {"User-Agent": "testnet-qualifier/1.0 (educational)"}
# Official Arbitrum pre-Nitro points -> tokens table
POINTS_TABLE = {3: 1250, 4: 1750, 5: 2250, 6: 3250, 7: 3750, 8: 4250,
9: 6250, 10: 6750, 11: 7250, 12: 10250}
def api_get(path, retries=4):
url = f"{BASE_API}{path}"
for attempt in range(retries):
try:
req = urllib.request.Request(url, headers=UA)
with urllib.request.urlopen(req, timeout=30) as resp:
return json.loads(resp.read())
except (urllib.error.HTTPError, urllib.error.URLError):
if attempt == retries - 1:
raise
time.sleep(1.5 * (attempt + 1))
def fetch_wallet_history(address, max_pages=5):
"""Pull recent OUTBOUND transactions (paginated via next-link params)."""
txs, path = [], f"/addresses/{address}/transactions"
for _ in range(max_pages):
data = api_get(path)
items = data.get("items", [])
for t in items:
# Blockscout /transactions is two-directional: keep only OUTBOUND txs
if (t.get("from") or {}).get("hash", "").lower() != address.lower():
continue
ts_raw = t.get("timestamp")
if not ts_raw:
continue
ts = datetime.fromisoformat(ts_raw.replace("Z", "+00:00")).timestamp()
to = (t.get("to") or {}).get("hash") or ""
txs.append({"hash": t.get("hash"), "ts": ts, "to": to.lower()})
nxt = (data.get("next_page_params") or {})
if not nxt or not items:
break
qs = "&".join(f"{k}={v}" for k, v in nxt.items())
path = f"/addresses/{address}/transactions?{qs}"
time.sleep(0.3) # be polite to the free API
return txs
def grade(txs):
"""Apply the 3 anti-sybil rules. Returns a dict with the verdict."""
if not txs:
return {"eligible": False, "reason": "no outbound transactions found"}
n = len(txs)
if n < 3:
return {"eligible": False, "reason": f"only {n} outbound tx(s); minimum 3 required"}
tier = POINTS_TABLE[min(n, 12)]
# RULE 2 - anti-burst: everything inside one 48h window = farming burst
stamps = sorted(t["ts"] for t in txs)
burst = (stamps[-1] - stamps[0]) <= 48 * 3600
if burst:
tier = POINTS_TABLE[max(3, min(n, 12) - 1)] # one tier down, floor at min tier
# RULE 3 - anti-bot: all txs to a single contract address = scripted bot
to_addrs = {t["to"] for t in txs if t["to"]}
single_target = len(to_addrs) <= 1
verdict = "ELIGIBLE"
if burst:
verdict = "ELIGIBLE (tier reduced: 48h burst penalty)"
if single_target:
verdict = "WEAK (all txs to one target: bot pattern, penalty risk)"
return {"eligible": True, "txs": n, "burst": burst, "single_target": single_target,
"tier": tier, "verdict": verdict}
def main():
if len(sys.argv) < 2:
print("usage: python3 qualify_wallets.py 0xAddress [0xAddress ...]")
return 2
print(f"Grading wallets via {BASE_API}\n")
for addr in sys.argv[1:]:
if not (addr.startswith("0x") and len(addr) == 42):
print(f"SKIP {addr}: not a 20-byte hex address\n")
continue
try:
txs = fetch_wallet_history(addr)
except Exception as exc:
print(f"ERROR {addr}: {exc}\n")
continue
r = grade(txs)
print(f"== {addr}")
print(f" outbound txs : {r.get('txs', 0)}")
if not r["eligible"]:
print(f" verdict : NOT ELIGIBLE ({r['reason']})")
else:
print(f" 48h burst : {r['burst']}")
print(f" single target: {r['single_target']}")
print(f" tier : {r['tier']:,} token-units (Arbitrum-table equivalent)")
print(f" verdict : {r['verdict']}")
print()
return 0
if __name__ == "__main__":
sys.exit(main())
To run it against any wallet:
python3 qualify_wallets.py 0xYourWallet 0xSecondWallet
The workflow, end to end
Put the two tools together and you have a loop you can run for $0 in API fees and a few dollars a month in VPS:
- Detect. The radar script drops new testnet/points-program leads into
signals.csv. Run it on cron, every 3–6 hours. - Triage. Open the CSV once a day. Anything mentioning “incentivized testnet,” “points program,” or a fresh public testnet from a team with visible funding goes on a shortlist.
- Qualify. Before committing weeks of activity to any chain, check its docs for a published eligibility framework. If they publish one, mirror it. If they do not, default to the Arbitrum shape — it is the industry template at this point.
- Execute, human-shaped. Fewer wallets than you think you need. Activity spread over weeks, not days. Multiple different contracts per wallet. Gaps that look like a person, not a cron job. This is not moral advice — it is the literal difference between the upper tier of Arbitrum’s points table and the penalty tier beneath it.
- Audit before snapshot. Run the qualifier on every farming wallet before the claim window opens. Any wallet that grades WEAK gets more diverse activity before the snapshot, not after. After is worthless.
Where this stops working
Honesty section, because every “beat the system” pitch that hides its failure modes is selling you something. Three things will kill parts of this strategy:
- Airdrops are getting smaller in aggregate. $19B in 2024 to roughly $4.5B in 2025 is a real contraction, per the numbers cited above. The per-wallet payout for genuinely qualified, non-sybil, active addresses is holding up better than the headline suggests — but the era of 40 casual wallets each netting four figures is over. If a project can cheaply exclude you as a sybil, it will.
- Detection is improving every quarter. Graph clustering, funding-source analysis, behavior ML, timing entropy — this is an arms race, and the projects have the budget. Anything that relies on the same CEX withdrawal funding forty wallets at once is dead on arrival at every serious project.
- There is no guaranteed payout. Testnet activity is a speculative position, not a wage. Projects cancel airdrops. They change criteria after the fact. They set snapshots without warning. If you go into this needing a specific dollar return by a specific date, you are gambling, not farming. Size your time investment to what you are willing to lose, which in this case is mostly time, not capital — that asymmetry is exactly why the strategy is worth running at all.
The edge here is not a secret exploit. It is that the rules for qualifying are literally published by the projects themselves — Arbitrum’s framework is public, and every serious airdrop since has copied its shape — while the majority of people reading them still choose to run forty lazy wallets instead of five disciplined ones. Read the rules the projects actually published. Build the tools to grade yourself against them. Do that consistently, at $0 mainnet cost, across every serious testnet cycle, and you have positioned yourself for the next Hyperliquid-shaped payout with the same discipline that caught this one — for the price of a VPS and a few hours of scripting.
Menghitung ulang seluruh angka di atas terhadap sumber live — CoinDesk/Cointelegraph/Decrypt RSS (testnet monitor), Blockscout public API (wallet qualifier), docs.arbitrum.foundation (points table & anti-sybil penalties), plus: CoinLaw Token Airdrop Statistics 2026 ($19B 2024 → $4.5B 2025, citing Decrypt); Phemex ZKsync academy entry (695,232 eligible wallets); Cryptonews LayerZero sybil report (800,000 addresses flagged, May 2024); Hyperliquid HYPE airdrop coverage (31% of total supply, November 2024); Binance Square Monad testnet coverage (hundreds of millions of RPC requests in first 12 hours, February 2025); Monad Foundation MON airdrop disclosure (~289,000 eligible wallets, October 2025). Angka yang tidak bisa diverifikasi silang sudah dibuang dari draft ini.