Fran Algaba

helping companies deploy agents in prod / prev. co-founder & cto @gizatechxyz / prev. scaling prod ml infra @adidas @bbva / tech+optimism

[Fran Algaba @franalgaba_]

After 3 years building @gizatechxyz from scratch, I’m stepping down from my full-time role as co-founder & CTO. I’ll stay close through a short transition and keep cheering the team on and supporting where my input is needed.

We started at the frontier of ZKML (Zero-Knowledge Machine Learning), making model outputs provable. The market was early, protocols weren’t ready to embed models in their smart contracts. So we focused where we could help most, DeFi AI agents that automate the manual work and improve crypto UX.

That’s how Arma was born: an autonomous yield-optimization agent for stablecoins. It continuously scans venues, prices risk, and reallocates within explicit guardrails (liquidity, tvl, protocol risk etc.). Decisions are transparent, actions auditable, and the system is built to self-recover.

Along the way, we were privileged enough to be backed by top tier investors like @coinfund and @cbventures. We grew a hands-on engineering team to 13, set a high delivery/quality bar, and shipped the best foundational infrastructure for agentic finance that is in production today.

Today, Arma manages $30M+ in assets with 5k+ daily active users. None of this happens without the people who built it, thank you to every teammate who shipped through the many long nights.

Now Giza enters a new chapter. I’m biased but I’m very confident in the team behind it and I’ll be around to help where useful.

To our investors, partners, and the community that believed from day zero: thank you for the ride.

[Fran Algaba @franalgaba_]

this is a very cool way to optimize search. basically codemode applied to search engines.

[Perplexity @perplexity_ai]

Introducing Search as Code, our new search architecture for AI agents.

It writes Python that calls our search stack directly, instead of looping through function calls one at a time.

Available in the Perplexity Agent API, and now default in Computer.

https://t.co/ut6GGWQTVO

[Fran Algaba @franalgaba_]

@gakonst @zeeg i used it for personal, but completely unrelated to slack and more as a backend by interacting with the api and sdk. i like a lot the workflows to have more deterministic behavior.

i think there is good value in centaur beyond slack and more for coordination and “company brain”.

[dex @dexhorthy]

someone hit me up about the new "claude dynamic workflows" feature, claiming "see, multi-agent works"

But really, the launch of this feature proves the exact point that I made back in June of 2025, along with @walden_yan, @tobi, @karpathy, and many others:

Deterministic workflows orchestrating small agent loops beats non-deterministic multi-agent or "agent soup" systems every dang time

everything is context engineering

[Fran Algaba @franalgaba_]

@katiekirsch @a16z this sounds awesome. just applied!

[Fran Algaba @franalgaba_]

the same model can behave very differently depending on the harness it runs in. they use RL to improve base models on the harness they are running with quite nice gains. also @badlogicgames pi outperforming nicely there!

[Binfeng Xu @billxbf]

Excited to release 🌟Polar🌟, our Agent RL rollout infra for real-world harnesses. Be it Codex, Claude Code, OpenClaw, Hermes, or your self-made ones 🔥 -- Polar takes your harnesses directly as training environments without code change.

Find a problem, design the harness, and train your own agents! 🧵

[Fran Algaba @franalgaba_]

@diapsalmata_0x @cursor_ai yeah totally, in my case it was mostly for frontend work and composer is at the same level of performance and taste

[Fran Algaba @franalgaba_]

really impressed with the latest @cursor_ai model composer 2.5. i downgraded my claude subscription for it. really impressed with the cost/performance of the model.

now in the 100$ sub in openai, the 20$ in claude and 20$ in cursor. the balance between all of them is awesome.

[Fran Algaba @franalgaba_]

@palashshah this sounds good, will dig deeper on it! any guide specifically on this? thank you

[Fran Algaba @franalgaba_]

@kenwuuuu build your custom harness with pi. lately i really enjoy using flue as well for the same purpose.

https://t.co/NQ80Ny6dCT

nevertheless building it is the easy part, evals and monitoring is where the fun starts once live.

[Fran Algaba @franalgaba_]

very inspiring what Ben is doing, this a glimpse into the future on how companies will be operated.

i tried polsia when it launched but was hard to fit into what i was doing. i need to see all the new things he shipped recently.

[Ben Cera @Bencera]

Polsia just raised $30M at a $250M valuation.

Approaching $10M annual run rate.

One Founder + AI. Zero employees.

Polsia runs companies autonomously.

It also ran its own fundraising.

I just showed up for signatures.

[Fran Algaba @franalgaba_]

@tianzhengyin59 @base awesome! try to dm now and I’ll send the details :)

[Fran Algaba @franalgaba_]

we are launching assay testnet very soon in @base and finally onchain risk is becoming a market. dm for early access! 👀

[Assay @useassay]

Assay testnet opens soon.

Risk should have a price before something breaks.

[Fran Algaba @franalgaba_]

@NTmoney i like saying that as ai continues accelerating, people will outsource thinking more and more. but you can’t outsource your own understanding of things which is really the key point for enabling value creation with ai.

[Fran Algaba @franalgaba_]

as part of my experimentations in that area, i created a language called grimoire with the same goal but towards facilitating agents interaction with the blockchain and intent enforcement.

https://t.co/oySTRX1iYb

[Fran Algaba @franalgaba_]

it’s always a good time to mention this post from @mitsuhiko .

i foresee more new languages to emerge specialized in different areas more than a general language for agents tho. definitely a great exploration.

https://t.co/M9PNuV8D3P

[Chris Tate @ctatedev]

Introducing Zero

The programming language for agents.

I wanted a systems language that was faster, smaller, and easier for agents to use and repair.

Explicit capabilities. JSON diagnostics. Typed safe fixes.

Made for agents on day zero.

[Fran Algaba @franalgaba_]

@banteg this is awesome!

[Fran Algaba @franalgaba_]

we designed @useassay around deterministic and verifiable market resolution so it’s a reliable hedging instrument to trade any onchain risk.

[Assay @useassay]

A risk market only works if resolution is part of the instrument.

The market should not be created in language and resolved by interpretation.

In Assay, the condition that defines the market is also the code that resolves it.

[Fran Algaba @franalgaba_]

@gusgonzalezs @taikoxyz @InferenceRoom congrats @gusgonzalezs ! excited to see what comes out of the AI side