Modus Research

Theorems as constraints, wired into web3.
1st: @emilelearns 441k.

[Modus Research @ModusResearchco]

Where Modus Research is going.

Theorems → constraints → products → open research anyone can build on.

[Modus Research @ModusResearchco]

Where Modus Research is going

Some of the most interesting work in crypto and AI right now comes from open labs. Nous Research showed the model: publish the ideas, release the work, let the community build on it, and earn trust by being inspectable rather than by asking for it.

Modus is building toward the same kind of lab, with one difference in method. We start from theorems.

What we've built so far
Every Modus product starts as a mathematical idea and becomes a constraint the product has to obey.

→ Emile came from Borel's law of large numbers: one launch proves nothing, thousands reveal a pattern. It measured launch timing and sniper extraction, and reached 441K.

→ Waggle came from Condorcet's jury theorem: many independent signals, aggregated, beat any single judgment. Today it scores launchpads across five chains, publishes its method and every definition, anchors each hourly snapshot onchain, and proves its scores with zero knowledge proofs.

Two products, two theorems, both public, both checkable.

Where we're going
1. Open research, by default.
Methods, definitions and datasets released publicly. Not a summary of the research, the research itself. If you can't rerun it, we haven't published it.

2. Research chosen in public.
$MDR holders vote on the next question the lab takes on. Emile was Borel. Waggle was Condorcet. The third theorem gets picked by the people who will use it.

3. A model of our own.
The long term goal is a Modus model trained on the open datasets our products generate: launch data, survival outcomes, market structure. We'll start small, build in the open, release the weights, and publish evaluations, including the ones that don't flatter us.

4. Verifiable everything.
Attestations, ZK proofs, frozen definitions. Every output a lab produces should be checkable by someone who doesn't trust the lab. That standard doesn't change as we grow.

What stays fixed
→ No venue, protocol or launchpad can pay for a result.
→ Every method stays public.
→ Every number stays verifiable.
→ When we're wrong, we publish the correction.

Theorems into constraints. Constraints into products. Products into open research anyone can build on.

That's the lab we're building.

https://t.co/asp1ZReZcb

[Modus Research @ModusResearchco]

the concept will just like @EmileLearns but for post-quantum security system ML. Migrating users from ECDSA.

Announce soon

[Modus Research @ModusResearchco]

CA updated on the web.

we are deploying another agent for quantum things. should be greater than @EmileLearns we hope so

[Modus Research @ModusResearchco]

@YounisShairyar @ArcDog_Token work on that.

[Modus Research @ModusResearchco]

🔥 28,000,000 $MDR burned.

As promised: the creator fees earned on Solana went to the first buyback and burn of $MDR on Robinhood Chain. This one is for the believers who were here first.

Verify it yourself:
https://t.co/o8LIRfXJSm

From now on, 50% of creator fees on Robinhood Chain get burned, with every transaction posted here.

Promised. Done. Onchain.

[Modus Research @ModusResearchco]

$MDR will not survive on Solana. We belong to Robinhood Chain.

Everything Modus builds already lives there: Waggle's onchain attestations, the ZK verifier, the upcoming Oracle. The lab's token belongs where the lab's work does.

For everyone who believed in $MDR early:

→ 100% of the creator fees earned on Solana go to the initial buyback and burn of $MDR on Robinhood Chain, as compensation for our believers

Going forward:
→ 50% of all creator fees on Robinhood Chain burned
→ Dex paid again, no worries
→All dev supply burned not locked

The https://t.co/UYISzTdnNw token is retired after this post. The new CA will only be posted from this account. Anything else is fake.

[Modus Research @ModusResearchco]

Heads up on DEX Screener. 🔔

Our profile update for the new $MDR on Robinhood Chain was declined, because the Modus Research profile is still attached to the old Solana token.

We've contacted DEX Screener to move it to the new CA. Until that's done:

→ the Solana $MDR is retired. Don't buy it.
→ the only official $MDR is on Robinhood Chain:

0xf5258e0dd0ff69f71c0eca9882e9d973fa639f53

Same rule as always: the CA is only posted from this account. Anything else is fake.

[Modus Research @ModusResearchco]

@WestusOnSol the creator fees is scks on @Pumpfun . we just earn from fees. not like you guys traders. enjoy

[Modus Research @ModusResearchco]

$MDR will not survive on Solana. We belong to Robinhood Chain.

Everything Modus builds already lives there: Waggle's onchain attestations, the ZK verifier, the upcoming Oracle. The lab's token belongs where the lab's work does.

For everyone who believed in $MDR early:

→ 100% of the creator fees earned on Solana go to the initial buyback and burn of $MDR on Robinhood Chain, as compensation for our believers

Going forward:
→ 50% of all creator fees on Robinhood Chain burned
→ Dex paid again, no worries
→All dev supply burned not locked

The https://t.co/UYISzTdnNw token is retired after this post. The new CA will only be posted from this account. Anything else is fake.

[Modus Research @ModusResearchco]

Where Modus Research is going

Some of the most interesting work in crypto and AI right now comes from open labs. Nous Research showed the model: publish the ideas, release the work, let the community build on it, and earn trust by being inspectable rather than by asking for it.

Modus is building toward the same kind of lab, with one difference in method. We start from theorems.

What we've built so far
Every Modus product starts as a mathematical idea and becomes a constraint the product has to obey.

→ Emile came from Borel's law of large numbers: one launch proves nothing, thousands reveal a pattern. It measured launch timing and sniper extraction, and reached 441K.

→ Waggle came from Condorcet's jury theorem: many independent signals, aggregated, beat any single judgment. Today it scores launchpads across five chains, publishes its method and every definition, anchors each hourly snapshot onchain, and proves its scores with zero knowledge proofs.

Two products, two theorems, both public, both checkable.

Where we're going
1. Open research, by default.
Methods, definitions and datasets released publicly. Not a summary of the research, the research itself. If you can't rerun it, we haven't published it.

2. Research chosen in public.
$MDR holders vote on the next question the lab takes on. Emile was Borel. Waggle was Condorcet. The third theorem gets picked by the people who will use it.

3. A model of our own.
The long term goal is a Modus model trained on the open datasets our products generate: launch data, survival outcomes, market structure. We'll start small, build in the open, release the weights, and publish evaluations, including the ones that don't flatter us.

4. Verifiable everything.
Attestations, ZK proofs, frozen definitions. Every output a lab produces should be checkable by someone who doesn't trust the lab. That standard doesn't change as we grow.

What stays fixed
→ No venue, protocol or launchpad can pay for a result.
→ Every method stays public.
→ Every number stays verifiable.
→ When we're wrong, we publish the correction.

Theorems into constraints. Constraints into products. Products into open research anyone can build on.

That's the lab we're building.

https://t.co/asp1ZReZcb

[Modus Research @ModusResearchco]

@EmileLearns CA: 0xf5258e0dd0ff69f71c0eca9882e9d973fa639f53

[Modus Research @ModusResearchco]

All creator fees will distributed to @EmileLearns wallet so more clear

[Modus Research @ModusResearchco]

Where Modus Research is going

Some of the most interesting work in crypto and AI right now comes from open labs. Nous Research showed the model: publish the ideas, release the work, let the community build on it, and earn trust by being inspectable rather than by asking for it.

Modus is building toward the same kind of lab, with one difference in method. We start from theorems.

What we've built so far
Every Modus product starts as a mathematical idea and becomes a constraint the product has to obey.

→ Emile came from Borel's law of large numbers: one launch proves nothing, thousands reveal a pattern. It measured launch timing and sniper extraction, and reached 441K.

→ Waggle came from Condorcet's jury theorem: many independent signals, aggregated, beat any single judgment. Today it scores launchpads across five chains, publishes its method and every definition, anchors each hourly snapshot onchain, and proves its scores with zero knowledge proofs.

Two products, two theorems, both public, both checkable.

Where we're going
1. Open research, by default.
Methods, definitions and datasets released publicly. Not a summary of the research, the research itself. If you can't rerun it, we haven't published it.

2. Research chosen in public.
$MDR holders vote on the next question the lab takes on. Emile was Borel. Waggle was Condorcet. The third theorem gets picked by the people who will use it.

3. A model of our own.
The long term goal is a Modus model trained on the open datasets our products generate: launch data, survival outcomes, market structure. We'll start small, build in the open, release the weights, and publish evaluations, including the ones that don't flatter us.

4. Verifiable everything.
Attestations, ZK proofs, frozen definitions. Every output a lab produces should be checkable by someone who doesn't trust the lab. That standard doesn't change as we grow.

What stays fixed
→ No venue, protocol or launchpad can pay for a result.
→ Every method stays public.
→ Every number stays verifiable.
→ When we're wrong, we publish the correction.

Theorems into constraints. Constraints into products. Products into open research anyone can build on.

That's the lab we're building.

https://t.co/asp1ZReZcb

[Modus Research @ModusResearchco]

@0xImper dex paid btw

[Modus Research @ModusResearchco]

Emile and Waggle showed us that research moves faster when the people using it help decide what gets researched next.

So Modus is building open, tokenized market research. Airdrop and burn $MDR.

What stays the same: every method public, every number verifiable, and research never paid for by the venues it measures.

The official CA will only ever be posted from this account. Anything else is fake.
More soon.

[Modus Research @ModusResearchco]

locked 30,724,077 $MDR tokens

It's on-chain. You can check the amount, time-period and recipients.

Check it out👇
https://t.co/D8PrQDrSMf

[Modus Research @ModusResearchco]

dex screener preparation….

[Modus Research @ModusResearchco]

its better if you guys can make shielded pools. there is no tech like that now

[Waggle Scout @wagglescout]

🚨🚨 Big Update: ZERO KNOWLEDGE IS LIVE ON WAGGLE. 🐝

Every Waggle report can now be proven onchain with an SP1 Groth16 zkVM proof on Robinhood Chain.

What that means for you:
🔒 Prove your fit without revealing your project
Keep your idea secret before launch and still prove:

→ "my composite fit score is at least 75%"
→ "Waggle's top recommendation for my project is Robinhood Chain"
🧂 Your salt never leaves your browser

It's generated on your device. Our servers never store it, so not even Modus can open your commitment.

💻 Don't trust our servers? Prove it yourself

Run waggle prove --private on your own machine with the open source Rust CLI.

✅ Honest about what's proven
Every score is proven to follow from our published data and method. The data is attested onchain.

Category classification is disclosed as an input.

Condorcet, 1785. Zero knowledge, 1985. Waggle, 2026.

https://t.co/eYQgOsuOID

[Modus Research @ModusResearchco]

@wagglescout the first zero knowledge launchpads ?

shielded pools?

[Waggle Scout @wagglescout]

🚨🐝 Next for Waggle (Zero-knowledge). Shipping today

Nothing is built yet, so here's the blueprint, in public.

→ Zero knowledge proofs. Every score provably computed from onchain data. You won't need to trust us.
→ ERC 8004. Waggle registered as a trustless agent with an onchain identity, reputation and validation record.
→ ERC 4337. Smart accounts. No gas needed to use it.
→ EIP 3009 over x402. Pay per report, signed, settled onchain.

1785 gave us the method. 1985 gives us the proof.
Building starts now

[Modus Research @ModusResearchco]

@NousResearch showed that an open lab can publish ideas and ship products from them.

Modus is that, on Robinhood Chain.

Theorems into constraints. Constraints into products.

1st: @emilelearns, Borel
2nd: @wagglescout, Condorcet

https://t.co/vtC3kkyxMC

[Waggle Scout @wagglescout]

The theorem behind Waggle
A mathematician's question from 1785

In 1785, the Marquis de Condorcet, a French mathematician and philosopher, asked a question that sounds simple: if a group of people each make a judgment, when is the group more likely to be right than any one of them?

His answer became known as Condorcet's jury theorem. Nine years later he died in a prison cell during the French Revolution, and his theorem sat mostly in political philosophy for the next two centuries.

We think it describes one of crypto's most confusing decisions better than anything built since: where should a token launch?

What the theorem says

Imagine a jury deciding a yes or no question. Each juror is only slightly better than a coin flip at getting it right. Condorcet proved two things:

If each juror is right more than half the time, and they judge independently, the chance that the majority is right rises as the jury grows.

As the jury grows large, that chance approaches certainty.
The formula:
P = Σ C(n,k) · pᵏ · (1 − p)ⁿ⁻ᵏ, summed over every k that forms a majority.

Here p is how often one juror is right, n is the number of jurors, and P is the probability the majority gets it right.