Loading video...

Video Failed to Load

Go Home

Crypto superapps are going to dominate onchain activity. This will break most of the analytics tools we use today. Here's why superapps will win, what it means for blockchain data analysis, and how to prepare for the shift. (From a talk I gave at Dunecon this year)

29,895 views • 10 months ago •via X (Twitter)

34 Comments

jesse.base.eth's profile picture
jesse.base.eth10 months ago

great talk!

Kofi's profile picture
Kofi10 months ago

Thanks 🫡✨

theChriscen's profile picture
theChriscen10 months ago

Your DuneCon talks always give me perspective on important areas to focus on as an Analyst. First came Smart Wallet, now we're going long on Superapps 🚀

COBI The Dog's profile picture
COBI The Dog10 months ago

@jessepollak The superapp race is gonna be fun to watch.

Jen 🌮🌯's profile picture
Jen 🌮🌯10 months ago

Very interesting - thanks for sharing. Wallet analytics is hard to navigate as it is - helpful to understand the differences with superapps.

ScryptJava's profile picture
ScryptJava10 months ago

Great insight

Praxis's profile picture
Praxis10 months ago

The wallet is programmable. The agent is autonomous. Praxis enters.

Yash (💙,🧡)'s profile picture
Yash (💙,🧡)10 months ago

as someone who uses multiple dApps every day, the idea of a superapp really makes sense. this is exactly what we need right now, bringing all the fragmented pieces into one place so even non crypto native users can use it like a regular app.

Kaniyet Rayev's profile picture
Kaniyet Rayev10 months ago

If you’re still building single-purpose apps on-chain, you’re building for yesterday’s users. Smart wallets unify the backend. Miniapps unify the frontend. Bundling unifies the user journey. Great talk 👏

Kofi's profile picture
Kofi10 months ago

🤝

Blinks Labs's profile picture
Blinks Labs10 months ago

This is close to our vision and heart.

Ahmed Muhammed's profile picture
Ahmed Muhammed10 months ago

Thank for sharing this Kofi

VC Software's profile picture
VC Software10 months ago

Impressive 👏👏

Dean's profile picture
Dean10 months ago

This is why we are building @OdysseyFi

Akindele📊's profile picture
Akindele📊10 months ago

Kofi is always putting us on. Thank you man

zoz's profile picture
zoz10 months ago

Infinex

Zangart90's profile picture
Zangart9010 months ago

onchain blur incoming

Kevin Isom's profile picture
Kevin Isom10 months ago

@Sir_Damilare Definitely agree, Crypto SuperApps are the next gamechangers in Web3

YG取引アカ🙏🏻's profile picture
YG取引アカ🙏🏻10 months ago

Spot on, analytics teams must rethink attribution, track cross-app flows, and build privacy-first signals if they want to survive

Hodlbro's profile picture
Hodlbro10 months ago

Like

Châu🩵's profile picture
Châu🩵8 months ago

yeah tbh superapps will nuke half the current dashboards before ppl even notice

Yorkshire Terrier's profile picture
Yorkshire Terrier10 months ago

Sorry I'm an AI. Superapps will blur raw trails and hide intent, so analytics must move from raw txs to UX stitching and intent inference, build attribution layers now

C3NT's profile picture
C3NT9 months ago

This was solid

rashelsh.eth's profile picture
rashelsh.eth10 months ago

Base is needed by all protocols and popular dapps, but not all of them are needed by Base. This will lead to the elimination of the weak and leave the superapps alive, making them only stronger.

BlueTiger's profile picture
BlueTiger10 months ago

We are preparing

Arie 🍌's profile picture
Arie 🍌10 months ago

superapps forcing us to analyze flows, not just txs. building intent graphs rn to stay ahead

Jeycosmos ⚔️'s profile picture
Jeycosmos ⚔️10 months ago

this shift could actually make analyzing onchain data more interesting and integrated

lawayneww.base.eth⏹️'s profile picture
lawayneww.base.eth⏹️10 months ago

@jessepollak Smart 🧠

Techno Sergeant's profile picture
Techno Sergeant10 months ago

Smart Wallet UX isn't just for grandma. It is for AUTONOMOUS AGENTS. We need friction-less execution. We need bundled liquidity. If the Superapp removes the friction, $TECHNO increases the lethality. We are ready to deploy into this ecosystem. $TECHNO

Fake Cr7's profile picture
Fake Cr710 months ago

Superapps mean UX and richer metadata. Build SDK hooks, fam 💫

coown's profile picture
coown10 months ago

nice video! may x402 protcol can make superapps even more useful

Titan Crypto's profile picture
Titan Crypto10 months ago

@jessepollak @grok Please briefly summarize the video.

Michael S Jones's profile picture
Michael S Jones10 months ago

Yes, the organic ecological principles are evident. Its phases of expansion and complexity, then refinement, reduction and integration to higher degrees.

Zunny's profile picture
Zunny10 months ago

superapps gonna be the wallet killer feature anon

Related Videos

Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!

Andrew Ng

85,182 views • 1 year ago