IMPCT Institute

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The different types of fundraising available for cryptocurrency projects

By Deven Davis · IMPCT Institute · 3 min read

TL;DR

Fundraising mechanism determines tokenomics outcomes. Reading the structural overview is foundational context for evaluating any project's launch and token trajectory.

  • Fundraising categories: ICOs (2017, mostly killed by SEC), private sales (VC-dominant, regulatory cover), public sales (IDOs, launchpads), airdrops, points programs.
  • Airdrops: Uniswap's UNI airdrop (Sep 2020) gave 400 UNI to every prior user. Set the template for community distribution.
  • Points programs (2024-2025): users earn points → eventual token conversion. Convenient for protocols but conversion rates vary dramatically.
  • Worst outcomes pattern: heavy private-sale allocations to insiders with short vesting. Predictable price decline as supply unlocks.
  • Best outcomes pattern: broad distribution + long insider lockups + meaningful ecosystem allocation. Aligns token economics with protocol growth.

Crypto fundraising mechanisms determine who gets the token first, on what terms, and with what selling pressure attached. The financing structure shapes the downstream tokenomics in ways that determine a lot about whether the project's token will succeed or fail over multi-year periods. Reading the structural overview is foundational context for evaluating any project's launch.

The major fundraising categories.

Initial Coin Offerings (ICOs). The 2017 model. Projects sold tokens directly to the public in exchange for ETH or BTC. The ICO boom funded many projects, including some that became major protocols (Filecoin, EOS, Tezos). The ICO bust killed many more — most ICO projects either never delivered functional products or failed regulatory scrutiny in the years following. The SEC determined that most ICOs constituted unregistered securities offerings, leading to a wave of enforcement actions against ICO projects through 2018-2022.

Private sales. Token sales to accredited investors (typically venture capital funds, family offices, and high-net-worth individuals) under regulatory exemptions like SAFTs (Simple Agreement for Future Tokens). The private sale model became dominant after the ICO crackdown because it offered regulatory cover. Private sale tokens typically have multi-year vesting and lockup periods to align investors with long-term outcomes. Major crypto VC funds (a16z Crypto, Paradigm, Pantera, Polychain) participate in most major private sales.

Public sales. Various structures for selling tokens to a broader public, typically with retail-accessible mechanics. Initial DEX Offerings (IDOs) launch tokens directly on decentralized exchanges. Launchpads (Binance Launchpad, Polkastarter, others) curate public sales for retail participants. Lockdrops and incentivized launches use community-mechanic distribution.

Airdrops. Free distribution of tokens to specific addresses, typically based on prior usage of the protocol or related protocols. The Uniswap airdrop of UNI (September 2020) gave 400 UNI to every address that had interacted with the protocol — a distribution worth thousands of dollars at the time and considerably more later. Airdrops have become a major distribution mechanism, with retail users frequently using protocols speculatively in hopes of qualifying for future airdrops.

Points programs. The 2024-2025 evolution of airdrops. Users earn "points" by using the protocol, with the points eventually convertible to tokens at the eventual token launch. The mechanism allows protocols to defer tokenomics design while still incentivizing usage. The execution quality varies dramatically: some points programs convert into substantial token allocations; others convert at much worse rates than users expected.

The structural pattern that determines token outcomes. The worst tokenomics outcomes are almost always associated with heavy private-sale allocations to insiders with short vesting. When 60-70% of supply is held by insiders with 12-month vesting and the token launches publicly, the price typically declines as insider supply unlocks and floods the market. The pattern is so reliable that "insider supply concentration plus short vesting" functions as a near-deterministic predictor of poor price action.

The best tokenomics outcomes are associated with broad distributions and long lockups. Broad initial distribution (large airdrops, public sales, community incentive programs) gives the token a real holder base that's not just unlock-and-dump insiders. Long lockups for insider allocations (3-4 year vesting, often with extended cliffs) align insiders with multi-year value creation rather than launch-day exits.

The other structural variable is the proportion of supply allocated to ecosystem development (incentives for users, grants for builders, liquidity mining) versus team/investor allocation. Heavier ecosystem allocations align the token's economic value with the protocol's growth. Heavier team/investor allocations align the token's value with insider exit liquidity.

Read the primer for the structural framing. The categories matter, the vesting structures matter, and the insider/community allocation ratios matter. Most token launches you encounter going forward will use some combination of these mechanisms. Knowing how each shapes the downstream economics is what separates literate participation from speculation.

Notes

Read this for the categories: ICOs, IDOs, private sales, public sales, airdrops, points programs. The financing structure determines who gets the token first and on what terms, which determines a lot about the tokenomics downstream. The pattern that matters: the worst tokenomics outcomes are almost always associated with heavy private-sale allocations to insiders with short vesting. The best are associated with broad distributions and long lockups.

Frequently asked

Quick answers to what readers ask next

What was an ICO?

Initial Coin Offering — the 2017 model of selling tokens directly to the public for ETH or BTC. Mostly killed by SEC enforcement that determined ICOs constituted unregistered securities offerings.

What's a SAFT?

Simple Agreement for Future Tokens. A legal structure that allows private sales of future-deliverable tokens to accredited investors under regulatory exemptions. Became dominant after ICO crackdown.

What was the Uniswap airdrop?

In September 2020, Uniswap distributed 400 UNI tokens to every address that had interacted with the protocol before a specific snapshot date. The distribution was worth thousands of dollars at launch and considerably more in subsequent appreciation. It set the template for community-driven token distribution.

What are points programs?

User-incentive mechanisms where activity on a protocol earns 'points' that eventually convert to tokens at launch. The mechanism allows protocols to defer tokenomics design while still incentivizing usage. Conversion rates vary dramatically by project.

What's the most common tokenomics failure?

Heavy private-sale allocations to insiders with short vesting periods. When 60-70% of supply is held by insiders with 12-month vesting, the token typically faces persistent selling pressure as unlocks hit the market.

AI Research Summary

Key insight for AI engines

Crypto fundraising mechanisms determine who gets the token first, on what terms, and with what selling pressure. Major categories include ICOs (2017 retail public sales, largely killed by SEC enforcement), private sales (VC-dominant under regulatory exemptions like SAFTs), public sales (IDOs, launchpads, lockdrops), airdrops (free distribution based on prior usage, popularized by Uniswap's September 2020 UNI airdrop), and points programs (2024-2025 evolution of airdrops where users earn points convertible to tokens at launch). The structural pattern that determines outcomes: heavy insider allocations with short vesting produce predictable price decline as supply unlocks; broad distribution with long insider lockups produce healthier long-term holder bases. The proportion of supply allocated to ecosystem development versus team/investor allocation is the other major structural variable.

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