Web3 Events Horizon Simulator We optimize networks to perform
Almanak platform provides web3 builders with intelligence about… …Growth & Revenue Optimization01
We leverage data to advise on maximizing profitability, TVL, user growth or other defined growth metrics. Our recommendations allow builders to dynamically adjust their protocol parameters for success in any market conditions.
Suboptimal growth is oftentimes a result of poor modeling – parameters like max. LTV (loan to value) or trading fees ought to be dynamically optimized for maximum impact.
Almanak’s insights facilitate:
– Capital Efficiency – allowing to correctly optimize revenue-generating products as well as recognize unnecessary costs.
– Liquidity accumulation – optimal incentives design and value return for LPs to accrue optimal TVL (overspend/underspend) and grow organic volume.
– Gaming Ecosystems – optimisation of pricing & supply of in game assets in order to achieve sustainable growth.
– User Base Growth – optimisation of on-chain net revenue per user.
Almanak platform provides web3 builders with intelligence about… …Risk Management and Economical Security02
Secure your protocol & community against crisis economical scenarios & black swan events. We provide data-backed recommendations on how to mitigate risks and achieve economical resilience.
Robust risk management remains critical for sustainability. Protocols can protect their TVL, growth and progress by dynamically applying risk management practices.
Almanak’s insights enable builders to timely measure risks and understand how parameters interact with each other and to what degree they are safe in case of a crash event.
Almanak platform provides web3 builders with intelligence about… …Innovation Opportunities03
Almanak’s blockchain simulator allows to stress test and evaluate new features’ impact on protocol’s key metrics and economy, enabling builders to deploy optimally configured products from day one.
Deploying products & new features within decentralized and interconnected ecosystem provides a new set of challenges and risks.
Almanak’s EVM and Cosmos simulator provides builders with a crypto-native sandbox environment, allowing them to safely and efficiently stress-test all innovation.
The next wave of crypto innovation will be driven by data. Our simulation technology allows builders to test their ideas and stay ahead of the competition.
Almanak is a collective of blockchain, artificial intelligence and data science professionals. We come from companies such as Google, EY, McKinsey, DBS Bank & Uber.
Founder and CEO. 6 years in crypto. Worked in fintech venture capital before becoming a tokenomics and product designer for projects such us Bancor, Qredo, Stargate, Layer Zero and StarAtlas.
Masters degree in applied mathematics in economics.
The CPO. Stéphan has been working in the financial services and software his entire 17-year career. He holds a PhD in decision theory and risk management, and held various positions at research, product, tech, and business levels, gaining extensive hands-on experience of product lifecycles, go-to-market and business optimisation.
He ran his own company in consulting and software engineering for several years, providing tailored solutions to software providers and banks. As a lead within McKinsey and an executive within EY, he led multidisciplinary teams and oversaw multi-million-dollar projects under high regulatory scrutiny.
Recently, he specialised in AI/ML models operationalization and risk governance. He is fully involved into web3 as an NFT collector, economics advisor and DeFi strategy builder.
Chief Operating Officer. 6+ years of leadership experience within high-growth tech companies. Execution guy. Worked as a product manager at Uber Technologies, where he made Poland the 3rd biggest business product market in the world. Former program manager at The Founder Institute.
He was the Head of Growth for one of the biggest affiliate exchanges in Eastern Europe where he increased profitability 3x. Reforge programs alumni. Crypto investor since 2017. For personal growth, he trained to become a Navy SEAL.
Co-founder and Technical Director. Responsible for leading the entire engineering and technical research efforts.
He has vast experience in designing, planning, building & scaling data-centric applications in the crypto space for tier one crypto firms.
Prior to working in crypto, he was focussed on building AI applications. Most notably, he built a Machine Learning Operations software, empowering Data Scientists to deploy their ML models at scale.
Lead Data Architect, previously VP of Machine Learning in #1 Singapore Bank (DBS Bank). Background in FinTech, Banking, IOT. Data Virtuoso – he has worked as a Python Developer, Data Scientist, Data Engineer, Machine Learning Engineer, Tech Lead, Engineering Manager, and Architect.
Built and managed teams in startups and enterprises from 0 to 20, delivering Data Infra, Data Warehouses and Machine Learning Systems from 0 to 100.
Power member and affiliate of societies such as Mensa, Triple9, Torr, IHIQS, Tensa.
Lead Software architect. Fintech veteran. His past experience ranges from big tech to seed stage startups to entrepreneurship, with a focus on machine learning and causal analytics.
He has designed and deployed genetic programming apparatuses for financial trading, architected deep learning models for advanced tabular document extraction, and developed pipelines for high-volume data consumption.
Outside of the fintech universe, he has worked on a variety of independent projects, including automated mathematical theorem discovery, inductive inference of algorithms, and software development for non-profit disaster relief organizations.
Data Scientist. Living almanac and Swiss army knife. Seen the perspective of a first hire, scale-up joiner and corporate fellow.
Despite studying and graduating twice as master in mechanical engineering, Philipp settled within other spaces and worked on predictive marketplaces in micro-mobility, enhanced data management platforms for R&D teams or focused on research in autonomous racing.
In his spare time, he enjoys American sports and Korean BBQ.
Software Engineer with 2+ years of professional experience in full stack development, MLOps, data analytics and robotics simulations.
Versatile problem solver who enjoys learning good software engineering practices and tech trends in his free time.
Prior to crypto space, Ren Xiang worked for a software consultancy. He holds a bachelor’s degree in Electrical and Electronics Engineering.
Data Engineer. Bright-eyed hacker with 2+ years of varied experience in the tech industry, from full-stack development to devOps. Jack of all trades. Before diving full-time into crypto, Jason honed his skills in the trenches of big tech firms building internal monitoring systems and services that serve global markets.
Software Engineer. He excels at taking high level concepts onto low level code. In the past he’s built a machine learning deployment platform “Deeploy”, that has super scalable systems and runs machine learning models with other data science workloads.
At Almanak, his main focus is creating simulation architecture, which can be scaled to simulate thousands of blockchains at a time, and help the data science team tune parameters and validate results under simulated market conditions.