When combined with new products, tokens – or the promise of tokens – have proven effective at alleviating the cold start problem.
But, networks that launch with a token from the jump, must find PMF in a shortened window amidst inorganic activity or otherwise these networks are just spending tokens for limited upside.
My friend and fellow investor, @howdai27 calls this the “hot start problem” where the presence of a token limits the window of time a startup has to find PMF and gain enough organic traction such that the startup can retain users/liquidity as token rewards diminish.
The hot start problem – launching tokens early and dealing with finding PMF amidst inorganic activity – is favorable to the cold start problem in two scenarios:
1) Startups competing in red ocean markets (markets with a high degree of competition and known demand)
Examples: Second mover defi protocols, Blur vs OpenSea, LRTs, etc.
2) Products and networks with passive-supply side participation
Examples: passive jobs to be done – staking (L1s), providing liquidity, or set-it and forget-it hardware (e.g. DePIN). masonnystrom.com/p/tokenized-ma…
Although tokens have also succeeded at jumpstarting active networks like Axie, Braintrust, Prime, YGG, and Stepn, the premature presence of tokens often obfuscates true product-market-fit.
Instead apps with token incentives for active jobs to be done – usage, gameplay, gig work, services, etc – must take extra steps to ensure that token rewards are going towards organic usage and driving metrics like retention.
For instance, data labeling network @SapienGamified gamifies the task of labeling and has users stake points in order to earn more points. In this instance, passively staking while performing some action has the potential to act as a loss-aversion mechanism, ensuring higher quality data labeling from participants.
Ultimately tokens are a tool that can be used poorly or judiciously.
Instead of tackling the cold start problem, startups that launch a token before gaining organic traction opt for the hot start problem, accepting the tradeoffs and benefits of tokens. masonnystrom.com/p/the-hot-star…
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Over 2 million compressed NFTs have been minted in just a few weeks.
Enabled by @metaplex's new NFT compression standard (Bubblebum), Compressed NFTs offer greater scale to NFT minting and open up a new array of use cases for Solana NFTs.
But what are compressed NFTs?
Normal Solana NFTs have metadata stored in on-chain accounts
Compressed NFTs group the state of many NFTs into a merkle tree and hash the merkle root on-chain with each leaf of the tree (e.g. NFT) verifiable on-chain while the metadata is offchain
Compressed NFTs allow minting NFTs at scale while securing them cryptographically on-chain.
Importantly, compressed NFTs can be redeemed/decompressed in which case the NFT is removed from the offchain merkle tree and then exits on-chain as a normal Metaplex NFT.
The magic of NFTs as an asset class is that the underlying assets are composable. But, this effortlessly destroys the moat of secondary trading liquidity that marketplaces have relied on to succeed.
NFT marketplaces must find proprietary liquidity that lives on their platforms, that drives users, and is unique.
Fluid secondary liquidity means marketplaces & NFT social networks must compete in the streets of the bazaar where trading occurs and not behind their castle moats.
Artists have earned over $5m in earnings on Sound Protocol.
Let’s take a brief look at the state of @soundxyz_ Protocol & Marketplace 🎧 🧵 sound.xyz
Sound Protocol by the numbers:
•$10m in NFT volume (4.4m Primary and 5.7m Secondary)
• Minted over 80,000 music
• Over 400 talented artists
• Nearly 13,000 collectors
Feb 2023 was Sound’s best month ever in terms of music NFTs minted.
The record month was aided by the launch of Sound’s curator rewards which enabled fans to earn 5% on primary mints generated through their referral links and playlists.
1) Network-driven protocol GTM focuses on building a protocol with broad distribution and permissionless access, and then evangelizes others to build on top of the network.
Every so often, a new playbook for token distribution emerges:
• Liquidity Mining (e.g. Compound)
• Retroactive airdrops (e.g. Uniswap)
• Infra setup (e.g. Helium)
Blur created the next token playbook: Sequenced Airdrops
Disclosure: We're not investors in Blur. But given our thesis on user ownership, we think the Blur case study holds interesting lessons for all crypto projects seeking to turn users into owners.
But first, how did Blur's sequential airdrop work?
• Airdrop 0: Rewarded social referrals to attract traders to its platform
• Airdrop 1: Rewarded ecosystem trading activity
• Airdrop 2: Rewarded listings to build supply
• Airdrop 3: Rewarded bidding to spur the demand side