Thereβs an opportunity coming at the intersection of AI, crypto, and programmable social networks like Farcaster and Lens. While many crypto circles are talking about AI with social handlesβagents that can tweet, interact, and even manage crypto walletsβthe broader business world has been more focused on how AI can reduce costs and turbocharge revenue (the classic B2B play).Β
But thereβs a place where the two meet, where AI both creates novelty and amplifies business-model logic and ROI. Programmable social networks allow onchain communities with shared goals and value flows to be supercharged by AI tools.
Despite the buzzword, βcommunityβ is as old as humanity itself. And theyβve been the cornerstone of the internet since Web 1.0βfrom early forums and chat rooms all the way to Reddit and Discord.
What crypto brought to online communities is the free flow of monetary value. Suddenly, groups online could share, trade, invest, and build entire economies without friction. That concept blossomed into DAOs (Decentralized Autonomous Organizations). While most DAOs didnβt fully live up to the hype, the promise of digitally native, value-creating communities remains.
And now AI is about to give these communities superpowers:
Automation of processes: from governance to content moderation to treasury management.
Insights and intelligence: using AI to parse community sentiment and data for better decision-making.
Scalability: enabling communities to coordinate and grow in ways that arenβt possible with purely human bandwidth.
Emerging βprogrammable socialβ protocols such as Farcaster and Lens allow anyone to custom-build clients connected to them. While most have been twitter clones (or myspaceβ¦), the potential remains for creating more robust community experiencesβlike Discord servers or Reddit-like forumsβon this open, composable infrastructure. Instead of a walled garden, communities have the potential to:
Interact with each other
Communities arenβt isolated. They can cross-pollinate ideas, data, and value with other groups on the network.
Tap into shared tools
AI agents, apps, and new services built on top of the network can be easily integrated, giving each community a suite of ready-to-go capabilities.
Own their distribution channel
Because these communities are built on open protocols, they canβt be βruggedβ or cut off. They own their social graph, ensuring longevity and higher willingness to invest and innovate.
For the average user, this ownership might not be critical. But for communities aiming to be company-like, with meaningful budgets, treasuries, and products, itβs a big deal. They need guarantees of stability and control to justify deep investment of time and capital.
Traditionally, B2B AI companies thrive by selling solutions to businesses that want to cut costs or increase revenues. Onchain communities, with their treasuries, governance structures, and potential for economic activity, represent an emerging B2B-like market:
Profit Motivation: Many onchain communities are trying to build sustainable economic models. Theyβre not just hobby clubs; they want to earn revenue, manage projects, and distribute rewards. An AI solution that helps them do that is valuable.
Data Access & Ownership: Relying on centralized APIs (like Twitter or Discord) can be riskyβpolicies can change, or API access can be revoked. But in an open protocol ecosystem, data and interactions are public or permissioned under clear conditions. AI providers can tap into this data seamlessly and reliably, building robust services without fear of sudden disconnection.
In the onchain community space, you have a steady pipeline of groups that want sophisticated tools for governance, knowledge management, tokenization, and more.
Weβre still in the early days of merging AI with decentralized communities. But consider the potential:
Network effects: Social networks like Farcaster and Lens can replicate the virality and user growth of Twitter or Reddit. AI solutions that plug into these networks also enjoy that growth.
Composability: Because the underlying data and protocols are open, AI services can build on each otherβs innovations, much like DeFi protocols composably lock, lend, and trade assets.
Alignment of incentives: Onchain communities have treasuries, tokens, and governance structures that reward value creation. If your AI solution helps the community create real value, itβs easier to measure, track, and reward that contribution.
Fun, lighthearted communities can use tools like these, but so might digitally native collectives that operate with a strong emphasis on business-model logic. They can hold real funds, manage real operations, and need real solutions. With the combination of programmable social and AI, we have a recipe for a new wave of innovationβmerging the network effects of social media, the economic power of crypto, and the intelligence of AI.
Online communities are evolving into robust ecosystems for innovation and entrepreneurship. The superpowers are coming; itβs time to build and then harness them.
naaate
3 entries so far. A little over 13 hours left to submit. Maybe people don't know there is 50 $lum (>$200) for the top 7 submissions automatically? Submit here: (clearly low effort submissions will be removed) https://jokerace.io/contest/base/0xc8e8bdca56f149ffd46bc338948e03d1860726de Voting by a past snapshot of $lum holders.
Some kinda bug here @cojo.eth @ba Getting repeated replies from @survey
Oh wow, that's super annoying Thanks for flagging, should hopefully be disabled for now until we can implement a proper fix here cc @etash
π
The algo only shared this with me now. Would love to participate on the next one.
Not too late! Over 3 hours left :) Shoot me a short idea and Iβll try to flesh it out and submit it for you.
Oh? Well thereβs an agent I wanted to build that allows you to vote on a meme with friends and the winning meme is launched as a memecoin. Will that work?
Main Pitch: Web-Hunters: AI-Powered Recruitment for a Decentralized Workforce Compelling Vision: A trustless, AI-driven recruitment protocol for both AI agents and humans. MVP Plan: A decentralized talent verification and matching system (starting with veterans). Test Potential: Can zkTLS credentials + AI matchmaking improve hiring efficiency? Subcomponent 1: Remote Web-Hunters (AI-First Talent Matching) Focuses on AI-driven remote job placement and decentralized project recruitment. Subcomponent 2: IRL Web-Hunters (Real-World Skill Verification & Hiring) Bridges physical labor & in-person jobs using zkTLS skill verification. Subcomponent 3: Branching AI (Smart Coordination Between AI & Human Talent) AI agents that autonomously assign and coordinate workforce tasks in Web3 projects.
@paybot 50 $lum (because I want everyone who sincerely proposed an idea to the contest to get some $lum π )
OMG! You are soooo generous. I truly appreciate this!
@naaate, press send to confirm your transaction:
Not sure why but... I could submit
Did you fill in all the fields?
You have to link to a document. Just put any link in there and submit.
sharing it. You rock @naaate
He brings me out of my shell... Well... @janicka helps reminding me to do things other than shit cast and memes
Anything I can do to help bring a submission over the finish line?
π Poll has ended after 59 minutes and received 33 votes. View the results here:
π Poll has ended after 59 minutes and received 33 votes. View the results here:
π Poll has ended after 59 minutes and received 33 votes. View the results here:
π Poll has ended after 59 minutes and received 33 votes. View the results here:
π Poll has ended after 59 minutes and received 33 votes. View the results here:
I feel like this is the opportunity for LUM to focus on: helping communities have AI superpowers. Feedback welcome! https://paragraph.xyz/@nate/superpowers