Win tokens at a fair price without overpaying or getting gamed
Value × (N-1)/N × 1.05. Submit 12-36 hours before close. Avoid common mistakes: bidding on hype, timing fails, privacy leaks, ignoring manipulation signals.Unlike eBay where you pay what you bid, here you pay the market price. This means:
100 people bid on 10,000 tokens: - 20 people bid $1.50 - 30 people bid $1.00 - 40 people bid $0.75 ← clearing price (10,000 tokens filled) - 10 people bid $0.50 (didn't win) Everyone who bid ≥$0.75 wins and pays $0.75 (not their bid amount)
What is this token actually worth to you?
True Value = What you'd pay if you knew for sure it would succeed Example for ReFiHub token: - Project revenue estimate: $2M/year - Token supply: 100M tokens - Revenue per token: $2M / 100M = $0.02/token/year - Growth multiple: 50× (like betting it becomes 50× bigger) - Your valuation: $0.02 × 50 = $1.00/token
How many years of revenue you think the token is worth. Like a stock P/E ratio:
Reduce by 20-30% to account for:
Conservative Value = $1.00 × 0.75 = $0.75/token
Optimal Bid = Your Value × (N-1)/N × 1.05 Where: - N = estimated number of bidders - 1.05 = uniform-price adjustment (you can bid slightly higher because you pay clearing price)
| Bidders (N) | Your Value | Optimal Bid | % of Value |
|---|---|---|---|
| 10 | $1.00 | $0.95 | 95% |
| 100 | $1.00 | $1.04 | 104% |
| 500 | $1.00 | $1.05 | 105% |
| 1000 | $1.00 | $1.05 | 105% |
Because if you win, you're probably the most optimistic person. Most optimistic = probably wrong. Bidding 95-105% of your value protects you from overpaying.
| Signal | Low Hype | Medium Hype | High Hype | Extreme Hype |
|---|---|---|---|---|
| Twitter followers | <10K | 10K-50K | 50K-200K | >200K |
| Discord members | <1K | 1K-10K | 10K-50K | >50K |
| Recent tweet engagement | <100 likes | 100-1K | 1K-10K | >10K |
| Influencer mentions | 0-1 | 2-5 | 6-20 | 20+ |
| Factor | Effect on N | Reason |
|---|---|---|
| Allocation >$10M | N × 2 | More supply = more participants |
| Allocation <$1M | N × 0.5 | Less supply = fewer participants |
| Min bid >$1000 | N × 0.7 | High barrier = fewer retail |
| Min bid >$10000 | N × 0.4 | Very high barrier = whales only |
| Niche market | N × 0.6 | Specialized = smaller audience |
Base estimates: - Low hype: N = 100 - Medium hype: N = 500 - High hype: N = 2000 - Extreme hype: N = 5000 Then apply adjustment factors from Step 2b
Example:
ReFiHub auction: - Twitter: 75K followers → High hype → Base N = 2000 - Allocation: $5M → No adjustment (middle range) - Min bid: $100 → No adjustment (accessible to retail) - Niche: Climate/ReFi → N × 0.6 → 1200 bidders Estimated N = 1200
# Conservative (want to make sure you win) bid = your_value × 1.05 # Moderate (standard formula) bid = your_value × (N-1)/N × 1.05 # Aggressive (willing to risk losing for better price) bid = your_value × 0.90
bid = your_value × 0.85 (fixed 15% shade)Even though bids are encrypted, people can infer from when you bid:
Use a fresh wallet that:
If your_bid ≥ clearing_price:
→ You won
→ You pay: clearing_price × your_quantity
→ You receive: your_quantity tokens
If your_bid < clearing_price:
→ You lost
→ Your bid is refunded
Tokens usually trade on DEXs immediately after auction.
Possible Outcomes:
Wrong: "Everyone is talking about this, I'll bid $2.00"
Right: "My analysis says it's worth $0.80, so I'll bid $0.84"
Why: Hype ≠ value. You're trying to pay fair price, not follow the crowd.
Problem: Network congestion, transactions fail, you miss the auction
Solution: Submit 12-36 hours before close
Wrong: "I'll bid $0.50 because that's 50% of my value"
Right: "There are 500 bidders, I need to bid $0.95 to have a good chance"
Why: In auctions with many bidders, you need to bid closer to your true value
Problem: Anyone can see your balance and history, infer your bidding strategy
Solution: Use a fresh wallet funded via exchange
Note: This is optional — only matters if you're bidding large amounts and care about privacy
Problem: Price might dump after launch
Solution: Only bid with money you can afford to lose 50-100% of
Problem: Not noticing when auction is being gamed
Solution: Watch for red flags (see Advanced section below)
If you see these patterns, someone might be gaming the auction:
How to check:
How to check:
How to detect:
# Step 1: Value Revenue_Per_Token = Project_Revenue / Token_Supply True_Value = Revenue_Per_Token × Growth_Multiple Conservative_Value = True_Value × 0.75 # Step 2: Bid Optimal_Bid = Conservative_Value × (N-1)/N × 1.05 # Win probability (rough) Win_Probability = your_bid / (estimated_clearing_price × 1.2) # Profit if won Profit = (post_launch_price - clearing_price) × quantity
In a first-price sealed-bid auction (you pay what you bid):
It's a situation where nobody can improve by changing their strategy. Like:
You want to bid just enough to beat the second-highest bidder, but not more.
In a uniform-price auction:
If you win by bidding your true value, you probably overestimated:
Rational Response: Bid below your estimate to avoid overpaying
Uniform-Price Helps: You don't pay your (overestimated) bid, you pay market clearing price
Example:
If tokens are securities: All manipulation is illegal. Don't do it.