We launched in September to build an intelligence and credit layer for the $400T real estate market.
In just 9 months, we've:
> built a property validation network with just $350k in incentives to AI engineers
> raised $1.25M from @stillcorecap, Bittensor Fund 1, @dsvfund, Astrid, Beyond Finance, and other angels
> signed an MOU with @RealFlyhomes (~$2B/yr in home loans)
> partnered with @Plaid to bring KYC, collateral valuation, and credit checks
> surpassed $HASH by a mile (3x the holders and over 25x the daily trading volume)
> Plaid, Proof, Pippin Title, @reclaimprotocol, @chainlink CRE nodes
The takeover has begun.
Ditto MCP is free Adderall for AI Agents.
1. Maximized Agent Memory
2. Shared Agent Memory
3. Auto Backup Files
You will objectively accomplish more with Claude / Codex / Hermes if you connect the Ditto MCP.
See it for yourself 👇
Ditto MCP is free Adderall for AI Agents.
1. Maximized Agent Memory
2. Shared Agent Memory
3. Auto Backup Files
You will objectively accomplish more with Claude / Codex / Hermes if you connect the Ditto MCP.
See it for yourself 👇
https://t.co/ANGYpkonKL is now LIVE.
Decentralized intelligence and capital, under one roof.
One Network
One Mission…
Enable Real World Financial Services, onchain.
Welcome to the future of finance.
https://t.co/ANGYpkonKL is now LIVE.
Decentralized intelligence and capital, under one roof.
One Network
One Mission…
Enable Real World Financial Services, onchain.
Welcome to the future of finance.
@Shaughnessy119@NousResearch@Delphi_Ventures@heydittoai built a maximized memory harness and free file storage MCP.
You can also use Ditto to publish your Hermes agent’s creations with a live link.
They just raised a pre-seed. You’ll start to see the project scale soon.
~1000 users already
https://t.co/y31yFe0LlS
Zipcode's property valuations cost 1/70th of the Zestimate API.
Here's how we build SOTA intelligence:
Data layer → AI engineers submit property valuation models. Model reviewers scrape real-world housing sale data.
Quality gate → Reviewers benchmark models against actual property sales data.
Policy layer → Our incentive rules govern which valuation model gets rewarded.
Learning mechanism → Underperforming models get replaced by the most accurate model.
A continuously self-improving system that delivers sub-penny and sub-second property valuations.
The most accurate intelligence layer for real estate.
https://t.co/YG50wZXMLQ.
Ditto will be locking 40,000 alpha into conviction.
For context, this is 100% of the alpha owned by the team.
Ditto is forever.
This is our conviction.
150,000 Zipcode tokens will be locked tomorrow by the team.
~$400,000. Establishing our conviction to the highest degree.
Remember that the holding co. of Zipcode exists to acquire Zipcode tokens and increase token value via network activity.
This is incentive alignment.
DittoCode is LIVE!
Build and share apps with the world!
Now the only constraint is your imagination.
Next, you will be able to monetization your creations to anyone on the internet.
We can't wait to see what you make!
Ditto agents are integrating Desearch as their native search layer.
@heydittoai gives agents memory and workspace context. Desearch brings real-time web intelligence into those workflows.
Agent memory now has native decentralized search.