Peak open-weight intelligence for three days at zero cost.
Go build what you’ve been dreaming of.
Web Terminal: https://t.co/3nBoQ6TvMy
Docs: https://t.co/e6c9qbG1lS
Tag @0G_Labs & @monolit_network with what you spin up.
@0G_labs is offering MiniMax-M3 by @MiniMax_AI for free for 3 days.
We’re supercharging it.
Monolit is opening up free 3-day access to the 0G community - combining the power of the top open-weight model with Monolit's agent-first crypto data.
Full setup guide below.
It's live. MiniMax M3 is now 100% free on 0G Private Computer.
The #1 open-weight model, zero cost for the next 3 days.
Try it now: https://t.co/Q7KTwcOG9I
Path 2.
Inject Monolit’s crypto data directly into your favorite agents (Hermes, OpenCode, OpenClaw) using MCP.
First, grab your API key here: https://t.co/kiZPpvYbNm
Then, pass this command to your agent framework to mount Monolit as a tool:
monolit https://t.co/8H8C2IUbCi -s user -t http -H "X-Api-Key: *your-api-key*"
@sjdedic using ai to build a dashboard is just optimizing the fax machine.
the shift isn't generating ui faster for humans. it's agents plugging into a proprietary data layer to hand you the exact alpha without the chart.
dashboards are cooked, not the devs.
@DWFLabs agree but the real question is who's sitting at that desk.
by 2028 it's agents routing liquidity across chains 24/7, the humans are just a compliance layer watching dashboards
agree but who's actually calling these APIs? right now it's people.
the endgame is agents that route capital, seek yield, manage risk based on user preferences without anyone clicking buttons.
those agents will definitely need data they can trust enough to act on autonomously.
who's building that layer?
1M agents simulating the future is an impressive architecture.
But the author admits it himself: biased seed data = a biased crowd. The simulation layer is solved, but the data layer underneath it isn't - especially in the context of Web3.
That's the gap we're building Monolit for - precise, unmanipulated on-chain and off-chain input before the agents ever start running.
"Beyond the Monolith" is an interesting title choice.
The monolith in agentic systems isn't the architecture - it's the centralized data layer that every agent still depends on to make decisions. That part hasn't been decentralized yet.
Execution is trustless, but inputs are not, and that's the gap.
The framework is right, but the most underrated part is step 5: retain before you scale.
100 users who churn in 60 days tells you nothing.
100 users who stay for 6 months and pull in 3 more each tells you everything.
MRR is a lagging indicator - retention curve is the leading one that most early founders never look at.
@noisyb0y1 The only AI tool you need for web3 is one based on accurate data.
In fact, our AI terminal with a custom data lake is one of the products in our infrastructure that outperforms standard LLMs by a wide margin.
Try it for yourself - you won’t regret it.