MLabs

Blockchain and AI consultancy working across industries, including fintech and blockchain.

🙏 Support us in Project Catalyst 🔗

[MLabs @MLabs10]

Another quarter — another Cardano.nix update.

Cardano.nix is our reproducible #Cardano infra project. This Intersect milestone we:
🔹 Updated cardano-node & cardano-db-sync
🔹 Bumped Blockfrost
🔹 Private testnet: added Dijkstra-era genesis
🔹 Bug fixes

And more. Details 👇
https://t.co/lYxtLA4buC

[TapTools @TapTools]

Cardano Builder DAO is one of the clearest paths for treasury funding to reach active ecosystem teams.

Round 2 builds on that progress with stronger governance, public KPI tracking, and improved accountability.

Cardano’s builders are still here.

They should have the resources to keep building.

https://t.co/qCOFbsfYzr

[Cardano Builder DAO @builder__dao]

Join us in 30 minutes as we debate and share what is happening at the CB DAO.

https://t.co/hgVFcXQUpV

[MLabs @MLabs10]

@astroboysoup @_KtorZ_

Seeing some confusion here.

Covenant is already being used by Konma for HaskLedger. The Solana/sBPF work reflects a real feature from that work, not "Solana" sprinkled in for hype.

It also maps to Pillar 2, multi-chain tooling.

Our CTO explains the scope here:

[MLabs @MLabs10]

@astroboysoup Different design, different tradeoffs, different integration story.

Healthy ecosystems have more than one implementation of important primitives.

Happy to discuss the technical differences with anyone interested.

Here, our CTO gives an overview of the proposal scope:

[MLabs @MLabs10]

@astroboysoup Does that make FeesaSwap superior?

Thats not our claim.

FeesaSwap and Aquarium serve different roles in improving Cardano UX & growing usage beyond ADA holders. This proposal prioritizes the ecosystem (not an individual solution) and is aligned with Pillar 2 of the 2030 vision.

[MLabs @MLabs10]

Hate to break it to you but we're bootstrapped, and we need to keep the lights on like any other business. We have won many grants it's true - because we have a reputation of delivering what we promise, and because we have ambitions for what this ecosystem is capable of. Delivering our work is costly, but we do feel it will have tremendous impact for years to come.

[MLabs @MLabs10]

Repo & Docs:

https://t.co/koapS5dtNv

https://t.co/AnJedkyIF7

[MLabs @MLabs10]

Keep in sync with our latest Plutarch updates, part of our Core Tool Maintenance & Enhancement project.

This video covers new type instances, plutarch-ledger-api updates, performance improvements, API cleanups, and more 👇

[MLabs @MLabs10]

MLabs just delivered more reliable infra with Cardano.nix v1.3.0, including:
🔹Refreshed dependencies
🔹CI/integration validation
🔹Bug fixes
🔹Updated docs for easy adoption

Made possible through #Cardano community funding ❤️

Details 👇
https://t.co/FHWRntvbiu

[MLabs @MLabs10]

@bigpey Dream big.

[MLabs @MLabs10]

We regularly dogfood our Catalyst-funded tooling in both internal work and client delivery. Some of these tools have clear adoption outside MLabs; others have been more niche.

The clearest usage signals include (but aren’t limited to):
- Plutarch: 2nd most used language in production.
- Ply: commonly paired with Plutarch to make typed data/codecs more ergonomic.
- CTL: a transaction-building stack used in production by multiple teams and dApps.
- cardano.nix: Cardano-focused Nix tooling we use heavily for reproducible builds/deployments, in CTL, and that’s also used by some Nix-oriented teams in the ecosystem.
- YTxP: a Cardano-specific proxy/upgrade pattern that’s been incorporated into at least one major dApp.
- LambdaBuffers: schema-driven type generation used in client applications.
- TxVillage: Rust-side transaction-building tooling used in client work.
- Plutip: fast local testing infrastructure we use extensively for iteration and CI.
- PSM (now CLB): similar testing infrastructure focused on production-adjacent workflows.

Much of the supporting evidence here is public via the Plutonomicon, our own mlabs-haskell repositories, and the Catalyst milestone module. We also have additional work that’s internal, still in R&D, or tied to client confidentiality.

That said, as scrutiny has increased across funding rounds, we’ve tried to align proposals with what builders and users actually need, and we’re continuing to improve our ability here with each iteration.

[MLabs @MLabs10]

Totally agree, @planetmaaz.

We just published our own “show your work” rundown of MLabs’ treasury-funded projects across Catalyst & Intersect: what shipped, what’s in flight, and what we are actively closing out.

https://t.co/45A5B8aMye

[₳lex Maaza @planetmaaz]

SEND IN THE AUDITOOOOOOOORS

to be very specific, a back of the envelope wishlist:

1. prior to intersect budget season kicking off, teams should voluntarily provide an update on ALL their treasury funded proposals (direct TW, thru catalyst, builder DAO, etc). You got money to do X, did you really do it?

2. Previous and current delivery history for ALL treasury funded proposals should be accounted for and communicated as an appendix to new budget proposals. You got money to do X in Y time. Did you successfully deliver X during or before Y time? This ecosystem is too comfortable with delayed implementation…we need expediency if we’re to be competitive.

3. the next budget cycle should fund an independent firm providing Monitoring, Evaluation, Accountability and Learning function. Standard in any publicly funded programme. What is MEAL? Track progress, assess impact in the context of Cardano 2030, ensure transparency to stakeholders, and use data for continuous program improvement and adaptation, integrating systematic data collection, analysis, feedback, and learning into project management to achieve better, evidence-based outcomes.

[MLabs @MLabs10]

@bigpey Grain of salt.

[MLabs @MLabs10]

@planetmaaz You got the rates flipped.

[MLabs @MLabs10]

@ADAFrog_Pool @ArmyofSpies This. Using a lil AI ain't no thing but a chicken wing.

[MLabs @MLabs10]

@yutazzz We support you using any and all tools at your disposal in order to be a transparent representative.

In general we find your words are pretty consistent with your actions, frankly - who cares about the precise method you used to get there?

[MLabs @MLabs10]

@yutazzz Many Japanese people report that chatGPT provides better translation with cultural context awareness than google translate.

First and foremost as a drep your job is to communicate to your delgators what is happening and how you intend to represent them 1/2