Ronak

Solidity | JavaScript | python
♟️🎧

[Jason Fried @jasonfried]

The last 20% isn't most of the work, it's all of the work.

[Pandit | Ξ🦇🔊 @panditdhamdhere]

ERC-5564 is coming to Ethereum.

It is one of the most underrated EIPs in Ethereum history.

It brings stealth addresses natively to ETH and most people still don't fully understand how it works.

Lets break it down.

[Stacy Muur @stacy_muur]

Network outages in the past five years ↓

Solana: 6
Arbitrum: 3
Starknet: 2
Sui: 2
Ton: 2
BNB Chain: 1
Avalanche: 1
Polygon PoS: 1
Optimism Mainnet: 1
Base: 1
Ethereum: 0

Just in case you were wondering why >50% of DeFi TVL is locked on Ethereum.

[Ronak @RonakOnChain]

@sahill_og

[Ronak @RonakOnChain]

@GeekyVaishnavi And Iam not

[Ronak @RonakOnChain]

@Amank1412 Looks so cool

[webdyy @akshit17082006]

The only youtuber I would follow blindly is @kirat_tw
All he asks in every video is to build muscle memory

[Ethereum @ethereum]

After 10 years of 100% Ethereum uptime, we're excited for 11.

[Jaideep Prasad @jddeep003]

My college junior applied to 100+ jobs in last 30 days.
ZERO interviews.

Mostly ghosted.

Then we spent one weekend rewriting his entire LinkedIn with AI.
Result: 250+ connection requests ACCEPTED in just 7 days (mostly recruiters & hiring managers)

Here are the exact 5 prompts we used👇

[manu @boomheadvt]

this guy never ceases to amaze me :O

[Rohit Ghumare @ghumare64]

Instead of watching a netflix, learn clawdbot aka openclaw masterclass under 30 minutes

[AyaCommunity @theayacommunity]

Introducing 𝑪𝒐𝒅𝒆𝒙, 𝑨 𝒈𝒂𝒎𝒊𝒇𝒊𝒆𝒅 𝒃𝒖𝒊𝒍𝒅𝒆𝒓’𝒔 𝒆𝒏𝒈𝒊𝒏𝒆.

Turn learning into a game 𝑳𝒆𝒂𝒓𝒏, 𝑩𝒖𝒊𝒍𝒅 𝒂𝒏𝒅 𝑬𝒂𝒓𝒏 without getting stuck in complicated AI and crypto jargon

Built for the community by Aya Community, Launching Q1 2026

Enter the arena now, https://t.co/PoZ55IDYXF

[Dhanian 🗯️ @e_opore]

𝗔𝗪𝗦 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝟮𝟬𝟮𝟲

𝟭. 𝗖𝗹𝗼𝘂𝗱 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀

Start with understanding how cloud computing works.

🔹 IaaS, PaaS, SaaS
🔹 Shared Responsibility Model
🔹 Regions, Availability Zones, Edge Locations
🔹 Pricing models & billing basics

𝟮. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀

Learn how AWS runs applications.

🔹 EC2 (Virtual servers)
🔹 Lambda (Serverless compute)
🔹 ECS & EKS (Containers)
🔹 Elastic Beanstalk
🔹 Auto Scaling Groups

𝟯. 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀

Understand how data is stored and managed.

🔹 S3 (Object storage)
🔹 EBS (Block storage)
🔹 EFS (File storage)
🔹 S3 lifecycle policies
🔹 Glacier for archival

𝟰. 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴

Networking is critical in AWS architecture.

🔹 VPC, Subnets, Route Tables
🔹 Internet Gateway & NAT Gateway
🔹 Security Groups & NACLs
🔹 Route 53 (DNS)
🔹 Elastic Load Balancer (ALB/NLB)

𝟱. 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀

Choose the right database for your workload.

🔹 RDS (MySQL, PostgreSQL, Aurora)
🔹 DynamoDB (NoSQL)
🔹 ElastiCache (Redis)
🔹 OpenSearch
🔹 Redshift (Data warehouse)

𝟲. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲

Automate everything.

🔹 CloudFormation
🔹 AWS CDK
🔹 Terraform
🔹 Parameter Store & Secrets Manager

𝟳. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗜𝗔𝗠

Secure your cloud properly.

🔹 IAM users, roles & policies
🔹 Multi-Factor Authentication (MFA)
🔹 KMS encryption
🔹 AWS WAF & Shield
🔹 Cognito for authentication

𝟴. 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗟𝗼𝗴𝗴𝗶𝗻𝗴

Keep track of performance and activity.

🔹 CloudWatch (metrics & alarms)
🔹 CloudTrail (API auditing)
🔹 AWS Config
🔹 X-Ray tracing

𝟵. 𝗖𝗜/𝗖𝗗 & 𝗗𝗲𝘃𝗢𝗽𝘀

Automate builds and deployments.

🔹 CodeCommit
🔹 CodeBuild
🔹 CodeDeploy
🔹 CodePipeline
🔹 Blue/Green deployments

𝟭𝟬. 𝗦𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀𝘀 & 𝗘𝘃𝗲𝗻𝘁-𝗗𝗿𝗶𝘃𝗲𝗻

Build scalable modern systems.

🔹 Lambda
🔹 API Gateway
🔹 SNS & SQS
🔹 EventBridge
🔹 Step Functions

𝟭𝟭. 𝗗𝗮𝘁𝗮 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀

Handle big data and streaming.

🔹 S3 + Athena
🔹 Glue
🔹 Kinesis
🔹 Redshift

𝟭𝟮. 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴

Integrate AI into AWS applications.

🔹 SageMaker
🔹 Rekognition
🔹 Comprehend
🔹 Bedrock

𝟭𝟯. 𝗛𝗶𝗴𝗵 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆

Design reliable systems.

🔹 Multi-AZ deployments
🔹 Auto Scaling
🔹 Disaster recovery strategies
🔹 Backup & restore solutions

𝟭𝟰. 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀

Practice is key to mastery.

🔹 Deploy full-stack apps on AWS
🔹 Build serverless APIs
🔹 Configure CI/CD pipelines
🔹 Implement secure VPC architecture
🔹 Optimize cloud costs

Get the AWS Handbook here:
https://t.co/G3pdEOq4DK

[Pandit | Ξ🦇🔊 @panditdhamdhere]

ERC-8128 - Signed HTTP Requests with Ethereum.

Just came across ERC-8128, a new draft proposal that could change how we authenticate HTTP requests using Ethereum wallets.

Let's break down what this means 🧵

[Ronak @RonakOnChain]

@tanmayrauth But here’s the dark flip:
AI can also short-circuit deep curiosity. When answers arrive too cleanly, we sometimes skip the struggle that forces original thinking. We explore more, but we don’t always sit with questions long enough.

Surface curiosity (more questions, faster)

[Ronak @RonakOnChain]

Code created efficiency.
Efficiency removed humans.
Humans felt replaceable.
Replaceable humans stayed silent.
Silence normalized control.

[Ronak @RonakOnChain]

@0xleegenz Still decentralizing, huh?

[vitalik.eth @VitalikButerin]

Recently I have been starting to worry about the state of prediction markets, in their current form. They have achieved a certain level of success: market volume is high enough to make meaningful bets and have a full-time job as a trader, and they often prove useful as a supplement to other forms of news media. But also, they seem to be over-converging to an unhealthy product market fit: embracing short-term cryptocurrency price bets, sports betting, and other similar things that have dopamine value but not any kind of long-term fulfillment or societal information value. My guess is that teams feel motivated to capitulate to these things because they bring in large revenue during a bear market where people are desperate - an understandable motive, but one that leads to corposlop.

I have been thinking about how we can help get prediction markets out of this rut. My current view is that we should try harder to push them into a totally different use case: hedging, in a very generalized sense (TLDR: we're gonna replace fiat currency)

Prediction markets have two types of actors: (i) "smart traders" who provide information to the market, and earn money, and necessarily (ii) some kind of actor who loses money.

But who would be willing to lose money and keep coming back? There are basically three answers to this question:

1. "Naive traders": people with dumb opinions who bet on totally wrong things
2. "Info buyers": people who set up money-losing automated market makers, to motivate people to trade on markets to help the info buyer learn information they do not know.
3. "Hedgers": people who are -EV in a linear sense, but who use the market as insurance, reducing their risk.

(1) is where we are today. IMO there is nothing fundamentally morally wrong with taking money from people with dumb opinions. But there still is something fundamentally "cursed" about relying on this too much. It gives the platform the incentive to seek out traders with dumb opinions, and create a public brand and community that encourages dumb opinions to get more people to come in. This is the slide to corposlop.

(2) has always been the idealistic hope of people like Robin Hanson. However, info buying has a public goods problem: you pay for the info, but everyone in the world gets it, including those who don't pay. There are limited cases where it makes sense for one org to pay (esp. decision markets), but even there, it seems likely that the market volumes achieved with that strategy will not be too high.

This gets us to (3). Suppose that you have shares in a biotech company. It's public knowledge that the Purple Party is better for biotech than the Yellow Party. So if you buy a prediction market share betting that the Yellow Party will win the next election, on average, you are reducing your risk.

Mathematical example: suppose that if Purple wins, the share price will be a dice roll between [80...120], and if Yellow wins, it's between [60...100]. If you make a size $10 bet that Yellow will win, your earnings become equivalent to a dice roll between [70...110] in both cases. Taking a logarithmic model of utility, this risk reduction is worth $0.58.

Now, let's get to a more fascinating example. What do people who want stablecoins ultimately want? They want price stability. They have some future expenses in mind, and they want a guarantee that will be able to pay those expenses. But if crypto grows on top of USD-backed stablecoins, crypto is ultimately not truly decentralized. Furthermore, different people have different types of expenses. There has been lots of thinking about making an "ideal stablecoin" that is based on some decentralized global price index, but what if the real solution is to go a step further, and get rid of the concept of currency altogether?

Here's the idea. You have price indices on all major categories of goods and services that people buy (treating physical goods/services in different regions as different categories), and prediction markets on each category. Each user (individual or business) has a local LLM that understands that user's expenses, and offers the user a personalized basket of prediction market shares, representing "N days of that user's expected future expenses".

Now, we do not need fiat currency at all! People can hold stocks, ETH, or whatever else to grow wealth, and personalized prediction market shares when they want stability.

Both of these examples require prediction markets denominated in an asset people want to hold, whether interest-bearing fiat, wrapped stocks, or ETH. Non-interest-bearing fiat has too-high opportunity cost, that overwhelms the hedging value. But if we can make it work, it's much more sustainable than the status quo, because both sides of the equation are likely to be long-term happy with the product that they are buying, and very large volumes of sophisticated capital will be willing to participate.

Build the next generation of finance, not corposlop.

[Vijay Shekhar Sharma @vijayshekhar]

This is crazy !
I am sure our static image memes, soon will get upgraded to this:

[Ronak @RonakOnChain]

@anushkacodess Rust made me do it. green shirt was memory-safe 😭