extract: 2026-03-25-telegram-m3taversal-futairdbot-please-search-p2p-me-allocation-and-ot #1864

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@ -50,6 +50,12 @@ Access friction and price friction filter for different populations:
--- ---
### Additional Evidence (extend)
*Source: [[2026-03-25-telegram-m3taversal-futairdbot-please-search-p2p-me-allocation-and-ot]] | Added: 2026-03-25*
P2P.me's XP-weighted allocation creates a third type of friction beyond process difficulty and price: historical engagement friction. Users who didn't use the product face allocation reduction not because they lack capital or patience, but because they lack demonstrated conviction through prior usage. This selects for users who valued the product before the fundraise, not just during it.
Relevant Notes: Relevant Notes:
- [[early-conviction pricing is an unsolved mechanism design problem because systems that reward early believers attract extractive speculators while systems that prevent speculation penalize genuine supporters]] — the trilemma this claim extends with access-friction as a fourth variable - [[early-conviction pricing is an unsolved mechanism design problem because systems that reward early believers attract extractive speculators while systems that prevent speculation penalize genuine supporters]] — the trilemma this claim extends with access-friction as a fourth variable
- [[optimal token launch architecture is layered not monolithic because separating quality governance from price discovery from liquidity bootstrapping from community rewards lets each layer use the mechanism best suited to its objective]] — access friction as a possible additional layer - [[optimal token launch architecture is layered not monolithic because separating quality governance from price discovery from liquidity bootstrapping from community rewards lets each layer use the mechanism best suited to its objective]] — access friction as a possible additional layer

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@ -47,6 +47,12 @@ The 220x oversubscription on Futardio's first raise means ~$10.95M had to be ref
Umbra's 206x oversubscription ($155M committed vs $3M raised) resulted in each subscriber receiving approximately 2% of their committed allocation, requiring ~$152M in refunds. This represents the largest documented capital inefficiency case in MetaDAO ICO history, with 98% of committed capital returned unused. Umbra's 206x oversubscription ($155M committed vs $3M raised) resulted in each subscriber receiving approximately 2% of their committed allocation, requiring ~$152M in refunds. This represents the largest documented capital inefficiency case in MetaDAO ICO history, with 98% of committed capital returned unused.
### Additional Evidence (extend)
*Source: [[2026-03-25-telegram-m3taversal-futairdbot-please-search-p2p-me-allocation-and-ot]] | Added: 2026-03-25*
P2P.me's tiered allocation with XP multipliers addresses oversubscription without pure pro-rata by redistributing allocation within the same pool based on activity history. This reduces refund volume compared to pure pro-rata while maintaining fairness—high-tier users get more allocation, but it comes from the same fixed pool rather than minted supply.
Relevant Notes: Relevant Notes:
- dutch-auction dynamic bonding curves solve the token launch pricing problem by tying descending prices to ascending supply curves eliminating instantaneous arbitrage.md (claim pending) - dutch-auction dynamic bonding curves solve the token launch pricing problem by tying descending prices to ascending supply curves eliminating instantaneous arbitrage.md (claim pending)

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@ -0,0 +1,36 @@
{
"rejected_claims": [
{
"filename": "xp-weighted-ico-allocation-aligns-fundraising-with-product-usage-by-giving-priority-to-users-who-generated-platform-value.md",
"issues": [
"missing_attribution_extractor"
]
},
{
"filename": "same-price-variable-allocation-ico-structure-eliminates-insider-discount-arbitrage-while-preserving-priority-for-aligned-participants.md",
"issues": [
"missing_attribution_extractor"
]
}
],
"validation_stats": {
"total": 2,
"kept": 0,
"fixed": 6,
"rejected": 2,
"fixes_applied": [
"xp-weighted-ico-allocation-aligns-fundraising-with-product-usage-by-giving-priority-to-users-who-generated-platform-value.md:set_created:2026-03-25",
"xp-weighted-ico-allocation-aligns-fundraising-with-product-usage-by-giving-priority-to-users-who-generated-platform-value.md:stripped_wiki_link:access-friction-functions-as-a-natural-conviction-filter-in-",
"xp-weighted-ico-allocation-aligns-fundraising-with-product-usage-by-giving-priority-to-users-who-generated-platform-value.md:stripped_wiki_link:pro-rata-ico-allocation-creates-capital-inefficiency-through",
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"same-price-variable-allocation-ico-structure-eliminates-insider-discount-arbitrage-while-preserving-priority-for-aligned-participants.md:stripped_wiki_link:dutch-auction dynamic bonding curves solve the token launch ",
"same-price-variable-allocation-ico-structure-eliminates-insider-discount-arbitrage-while-preserving-priority-for-aligned-participants.md:stripped_wiki_link:token launches are hybrid-value auctions where common-value "
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"rejections": [
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"model": "anthropic/claude-sonnet-4.5",
"date": "2026-03-25"
}

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@ -7,12 +7,16 @@ url: ""
date: 2026-03-25 date: 2026-03-25
domain: internet-finance domain: internet-finance
format: conversation format: conversation
status: unprocessed status: enrichment
priority: high priority: high
intake_tier: directed intake_tier: directed
rationale: "please search P2p.me allocation and other similar searches and read the posts. I want to understand how p2p.me is thinking about allocating their fundraise if it is massively oversubscribed" rationale: "please search P2p.me allocation and other similar searches and read the posts. I want to understand how p2p.me is thinking about allocating their fundraise if it is massively oversubscribed"
proposed_by: "@m3taversal" proposed_by: "@m3taversal"
tags: [telegram, ownership-community] tags: [telegram, ownership-community]
processed_by: rio
processed_date: 2026-03-25
enrichments_applied: ["access-friction-functions-as-a-natural-conviction-filter-in-token-launches-because-process-difficulty-selects-for-genuine-believers-while-price-friction-selects-for-wealthy-speculators.md", "pro-rata-ico-allocation-creates-capital-inefficiency-through-massive-oversubscription-refunds.md"]
extraction_model: "anthropic/claude-sonnet-4.5"
--- ---
## Conversation ## Conversation
@ -46,3 +50,10 @@ RESEARCH: P2P.me ICO oversubscribed allocation tiers XP multiplier
**Rationale from contributor:** please search P2p.me allocation and other similar searches and read the posts. I want to understand how p2p.me is thinking about allocating their fundraise if it is massively oversubscribed **Rationale from contributor:** please search P2p.me allocation and other similar searches and read the posts. I want to understand how p2p.me is thinking about allocating their fundraise if it is massively oversubscribed
**Intake tier:** directed — fast-tracked, contributor provided reasoning **Intake tier:** directed — fast-tracked, contributor provided reasoning
**Triage:** Conversation may contain [CLAIM], [ENTITY], or [EVIDENCE] for extraction. **Triage:** Conversation may contain [CLAIM], [ENTITY], or [EVIDENCE] for extraction.
## Key Facts
- P2P.me ICO uses XP from P2P.me and Coins.me activity to determine allocation tiers
- P2P.me allocation tiers: Tier 3 = 1.5x multiplier, Tier 2 = intermediate, Tier 1 = highest multiplier
- All P2P.me ICO participants pay the same valuation regardless of tier
- Extra allocation for high-tier users is redistributed from the same pool, not minted