Base’s rethink on social is no longer a quiet strategy change. It has become an open admission that one of crypto’s most heavily promoted SocialFi bets did not work.
On July 15 and 16, Jesse Pollak posted a series of long messages on X saying he had been “definitively wrong” about social and creator coins. He described the first quarter of 2026 as a “punch in the face” and said the past few months had largely been spent confronting claims he himself had made over the previous two years. Two days earlier, Coinbase CEO Brian Armstrong had already conceded that content coins “didn’t work,” adding, “We messed up, time to turn the page.” In effect, that closed the chapter on Base’s two-year push around Farcaster, Zora and Frames mini apps.
Base App has now been handed back to Coinbase, with Jordan Fish, known in the industry as Cobie, taking over. Pollak has moved back toward writing code, with Base again framed as a blockchain for global finance. The pivot itself is not the surprising part. The striking part is that Base spent two years trying to work out what social on crypto should look like, then ended up with a result its own backers no longer wanted to defend.
Why Base wanted social in the first place
The article says Base’s original attraction to social came from two lines of thinking running at the same time. One was commercial. The other was ideological.
On the commercial side, the logic is blunt: social platforms are not only traffic businesses, they are businesses built on control over attention and public conversation. The piece uses Elon Musk’s $44 billion purchase of Twitter as the clearest example. Publicly, the platform was framed as a “digital town square.” In practical terms, the implication is that whoever controls the square also holds the power to shape the agenda.
The ideological side goes back more than a decade. After Edward Snowden’s disclosures in 2013, internet users were forced to confront the extent to which email, search and social platforms had become tools of surveillance. In 2014, Ethereum co-founder Gavin Wood wrote about rebuilding the internet as a “post-Snowden network.” Vitalik Buterin has repeatedly argued that crypto’s real job is not simply to issue tokens, but to remove the structural features of Web2 that allow censorship, monitoring and data monopolies to persist.
That vision is usually reduced to a set of familiar terms: censorship resistance, open source, privacy, security and decentralization. In concrete terms, it means no single company should be able to delete a user’s post at will, no private backend should hold a complete map of a user’s social relationships, and followers and content should travel with the user rather than remain trapped as rows in a platform database.
Put those two ideas together and Base’s original social thesis becomes easy to understand. There was a business ambition tied to scale and user acquisition. There was also a larger narrative about rebuilding a public square for ordinary users. The article’s point is that the narrative itself was not the issue. The issue was what the strategy produced in practice.
A strong starting hand turned into speculative tools
Base had advantages few teams could match. The article points to Coinbase’s regulatory position, its base of more than 100 million verified users, its fiat onramps, and Base’s status as one of the smoother-running Layer 2 networks in the Ethereum ecosystem. Those are top-tier conditions in almost any category.
Yet after two years, what emerged looked less like social infrastructure and more like a bundle of speculative products.
Zora’s core mechanic allowed a post or image to be minted directly into a token, with issuance open to anyone. Its token, ZORA, fell from a peak market capitalization of about $550 million to roughly $30 million, a drop of 95%. Farcaster reached a daily active user peak of 104,000 in July 2024 on the back of Frames mini apps, but more than a year later had fallen into a 40,000 to 60,000 range. Truly active Power Badge users were down to roughly 4,360, monthly revenue had fallen 99%, and new registration addresses were down 95.7%. The article describes this not as a slow decline but as a cliff.
The behavioral pattern behind those numbers is presented as straightforward. Users did not arrive primarily to talk, build communities or share ideas. They came to farm incentives and trade tokens. Many of the so-called mini apps became little more than token launchers in a new wrapper. Any post with a bit of information value was quickly buried under calls, memes and speculation. Posting stopped being about having something to say and became about how to maximize token earnings. Once incentives weakened and token prices fell, users left. The social graph that was supposed to remain turned out to be hollow.
The article makes an ironic comparison with pump.fun. That product never tried to pretend it was anything other than a casino, with attention as the wager. Yet because it combined comment threads with real-time transaction activity, it developed a thin but genuine layer of social interaction. Base-backed products, by contrast, wrapped speculation in the language of social and ended up doing neither side well. They could not match specialized perpetual futures platforms as financial products, and they produced almost no meaningful density in social relationships. The piece goes as far as to say that Binance Square, tied directly to trading context and actual position-based discussion, surpassed Farcaster by a wide margin in both scale and influence.
At the center of the critique is incentive design. Using tokens to jump-start network growth can produce activity numbers quickly. But social networks are built on identity and relationship formation, not only on economic reward. If the first question behind a comment is whether it will make money, then the article argues it has already ceased to be social behavior in the ordinary sense. Tokens turned relationships into tradable assets and followers into investors. Once losses arrived, those relationships were unwound just as quickly. What remained was not a social network but a leveraged position waiting to be liquidated.
Web2 social platforms still carry their own structural problems
The piece does not let Web2 off the hook. Centralized social platforms are described as deeply flawed too, just in different ways.
X, Meta and TikTok are built on attention extraction. Browsing time, likes, location data and even address books are collected and fed into recommendation systems. Those systems reward a certain kind of content. Material that is more conflict-driven, more extreme and better at provoking emotional reaction tends to hold users for longer and so receives greater weight.
In that environment, trending topics can be manipulated, bot networks can manufacture the appearance of momentum, and MCN organizations can industrialize the production of polarizing content. Ordinary users sit near the bottom of that structure and often gain exposure only by generating emotional intensity. Familiar social ties then act as a distribution layer, helping rumors move through family groups and school networks with an authority that can exceed traditional media.
That is the problem decentralized social originally set out to solve, the article says. The issue was never social interaction itself. The issue was the business model of trading privacy for algorithmic reach and trading emotional reaction for distribution. In that sense, Base-backed products were supposed to be part of the cure. Instead, they left the original illness in place and added token speculation on top of it.
Bluesky and Hive took different routes on the same track
If every decentralized social project had ended in the same kind of failure, the argument that the category itself was misguided would be stronger. The article insists that is not what happened. Other projects on the same broad track made very different design choices and got very different outcomes.
Bluesky removed the token layer
Bluesky, led by Twitter co-founder Jack Dorsey, uses the AT Protocol and strips out the token layer entirely. Users can sign up with a phone number or email address, and posting and liking are free. Its architecture relies on a federated Personal Data Server, or PDS, model. Each user’s data is hosted on a server they choose, while relays aggregate and distribute content.
This is not a blockchain path. It is an internet protocol path. The article presents that as a reminder that decentralization does not need to arrive through tokens or chain-native social mechanics. By 2026, Bluesky had surpassed 43 million users. It still trails X in absolute scale, but it has established a foothold among ordinary internet users. Its user base includes tech workers, media, brands and large numbers of everyday posters who migrated from X. The content mix is centered on short news updates and public-topic discussion, without a token speculation layer attached to every interaction.
For the author, Bluesky serves as a counterexample to Base’s model. A product can still describe itself as decentralized while removing crypto friction and token-driven behavior at the product layer, then focus on people who simply want to use a social network.
Hive treated tokens as rewards rather than the objective
Hive is presented as a sharper contrast. It split from Steem in a hard fork in 2020 and was built as an independent social blockchain on Graphene. Posts, likes and votes are permanently recorded as on-chain transactions, backed up by thousands of nodes, so no single actor can simply wipe a database or delete content across the network.
Its token system has three layers. HIVE is the liquid governance token. HP is the staked credential. HBD is a native stablecoin pegged to $1, and holders can also receive a fixed annualized return. The article notes that 65% of the inflation pool is permanently allocated to creators and curators, with half paid in HIVE and half in HBD. The practical result, in the author’s reading, is that creators who keep producing can count on some stablecoin income even in weak markets.
Another retention mechanism is Splinterlands. Users stay because the game itself is enjoyable, while the chain functions as the accounting engine in the background rather than the full selling point. Social behavior then appears naturally through gameplay. That retention model looks very different from a system that tries to force interaction through token rewards alone.
The article’s broader comparison among Farcaster, Bluesky and Hive comes down to how each one treats tokens. Farcaster made the token dynamic the point, turning social behavior into a mining medium. Hive made tokens a reward layer while keeping content creation as the central purpose. In the first model, a falling token price undermines the entire reason for participation. In the second, price volatility changes the level of upside but does not erase the reason people write, talk and join communities.
Search and AI visibility may matter more than many builders assume
One of the less common arguments in the article concerns discoverability at the level of search engines and AI systems.
Hive content carries on-chain hashes and timestamps. According to the piece, that makes it more suitable for stable indexing by search engines such as Google after crawling. Rendering may be slower than a conventional webpage because block data has to be pulled through RPC before the page is generated, but once indexed, long-tail knowledge content can maintain a durable presence in search results.
The article extends that point to AI retrieval. Large models tend to value verifiability and resistance to tampering when weighing factual sources. Hive’s on-chain record fits those criteria more closely, the author argues, which may make it easier for tools such as AI Overview and Perplexity to treat Hive pages as citable sources.
Farcaster, by contrast, stores posts in third-party Hub server clusters rather than on-chain. Content can be modified or removed by operators. The pages also lack permanent URLs, and a large volume of low-quality meme and speculative content is said to drag down the site’s E-E-A-T profile. That combination leaves Farcaster with much weaker visibility in both search engines and general-purpose AI systems than Hive, according to the article.
The implication is blunt: by betting heavily on Farcaster, Base also gave up a project’s chance to be discovered over the long term at the infrastructure layer of the internet. If content cannot be reliably searched, cited or archived, its practical presence online approaches zero. In the author’s framing, that is not merely a user metric problem but an architectural ceiling.
The piece also notes that Farcaster drew much more capital and attention than Hive in 2024. Even so, through the broader collapse of SocialFi over the past two years, Hive did not become associated with the same kind of mass user exodus. That leaves the author with a simple inference about which type of network may still be standing a decade from now.
The real issue was not decentralized social itself
The article returns several times to the same conclusion: decentralized social is not a false premise. Bluesky and Hive each demonstrate that in different ways. What deserves scrutiny is Base’s decision to push aside censorship resistance, privacy, security and decentralization in favor of token-led growth metrics.
In the author’s view, a healthy Web3 social network should still preserve some non-negotiables. No single actor should be able to delete a user account unilaterally. No private backend should hold a complete social graph. Code should remain open for inspection. Data should be portable so users can leave one interface and keep their content and relationships.
The article frames these traits as public goods in economic terms: non-excludable, non-rivalrous and therefore not naturally well funded by markets chasing short-term returns. That, it argues, is precisely why they should be supported as shared infrastructure, through protocol treasuries, community donations, and a smaller group of people willing to fund the mission itself rather than through the repeated recruitment of retail users into speculative cycles.
It goes one step further and casts the issue as part of a broader struggle over commercial control of public discourse. Algorithmic recommendation, privacy extraction and industrialized content production have turned public discussion into a business dominated by platforms and capital. The significance of decentralized social is that it keeps open at least one zone not fully controlled by a single commercial center. It may be smaller and poorer, but it proves another model can exist.
Governance remains the hardest unsolved problem
The article does not romanticize the category. It says decentralized social has reached the same cluster of governance problems almost everywhere.
The first is the moderation paradox. In fully on-chain systems such as Hive and DeSo, once content is written to the chain it cannot truly be removed. If harmful or prohibited material appears, most responses amount to local client-side filtering. Switch to another client and the content may still be visible. That also leaves regulators without a clear party to hold responsible. Farcaster sits on the other side of the trade-off. Because content lives in Hub server clusters off-chain, moderation power ends up concentrated in a small number of leading Hub operators. The system may be labeled decentralized, but in practice the power dynamic can resemble Web2 platform control.
The second is oligarchic token governance. Most on-chain social projects rely on token-weighted voting. That naturally favors early investors and large holders. The article points to Hive, where HP stake weight influences witness positions; Lens, where governance tokens are held by the Aave team and early venture firms; and Farcaster, where the protocol itself has no token but large meme-coin holders in the community can still shape channel access thresholds and tipping weight. Ordinary users who mostly read and post, without holding tokens, have little say over the rules that determine whether they can be seen.
The third is unclear accountability. Protocols, nodes, clients and DAO treasuries all have overlapping but ambiguous roles. When something goes wrong, each layer can point elsewhere. Protocols say they only define rules. Nodes say they are not controlled by the protocol. Clients say they merely filter locally. DAOs say they do not govern node behavior.
The fourth is incentive mismatch. Moderation, node operation, documentation and client development are all necessary forms of maintenance work, but they often earn less than mass posting or token-driven activity. As a result, those roles remain understaffed. At the same time, on-chain governance is usually slow, while social networks require fast response times. The article gives the example that a Hive proposal vote can take more than seven days, by which time the offending content may already have spread across the network.
The judgment here is that current fixes such as hybrid moderation, quadratic voting and staking juries are still compromise structures rather than definitive solutions. No project has fully solved the problem, and that unresolved governance burden is one reason decentralized social has struggled to scale.
If these networks want to survive, the economic model still has to change
Even if governance remains difficult, the article argues that economics can still be redesigned. The goal should not be to use token airdrops and speculation to create the appearance of growth. It should be to rethink creator retention and the way attention spreads across an open network.
The first step, in the author’s view, is to separate money from social interaction. Hive is offered as an example because creator compensation is not based only on token upside. The stablecoin component provides a floor and reduces pure long exposure to market swings.
The second step is to pay for the maintenance work that networks depend on. Moderation, node operation and client building cannot remain undercompensated if governance is expected to function.
The third step is multi-client design. The article compares this to email. One identity should work across many clients. Switching front ends should not mean losing followers or content. Only then can material move naturally across interfaces and communities. Real distribution should come from compelling content and open protocols, not from incentive programs designed to manufacture momentum.
From there, the article stitches together a longer chain running from creation to curation, distribution and monetization. Each link should have a legitimate economic role instead of feeding value upward to a platform that captures everything. Email became internet infrastructure not because one company owned it, but because none of them did. Social, the author suggests, may need to move in the same direction.
Base’s admission does not make the question disappear
The article closes by treating Base’s reversal as more than a product retreat. It is framed as the moment an industry, after spending heavily and burning through two years, had to admit something it could have recognized earlier: tokens were the wrong fuel for a network that depends on relationship density. The plane lifted off quickly, but the lift came from speculation rather than friendship. Once the fuel ran out, the descent was inevitable.
Still, that is not the same as saying decentralized social was a false idea. In the author’s reading, Bluesky and Hive have already done enough to show the category still has life. What remains open is a narrower but harder question: whether anyone is still willing to build toward that “post-Snowden network” without making token issuance the center of the plan.
The original piece ends with a risk disclaimer, stating that markets involve risk, the article does not constitute investment advice, and readers should decide for themselves whether the views expressed fit their own circumstances.