nader dabit (bronze age arc) Profile picture
Apr 4 2 tweets 3 min read Read on X
zkTLS is the first crypto-native technology that's actually onboarding the masses, and I think it's still wildly underrated.

zkTLS is already being used by top apps in the App Store as well as by some of the most successful web2 founders (and the number is growing rapidly).

This will only accelerate as more developers understand how to use this new primitive, and better developer tooling and SDKs become available.

Most crypto apps involve the user transacting on-chain in some way which restricts the scope of what can be done or built.

zkTLS opens up a completely new and untapped design space that can integrate with *any* web2 API, app, or product (without the need for tokens or a wallet).

So what is zktls?

zkTLS allows developers to cryptographically verify user actions and information within standard HTTPS sessions, opening the door to new categories of applications where trust and privacy coexist.

So what are some examples of what's live / being built (real use cases):

1. Earnifi is #2 on the Apple App Store (Finance) and is using zkTLS to enable low cost payday advances to cut out predatory lenders (@opacitynetwork)
apps.apple.com/us/app/earnifi…

2. The new @digg is using zkTLS (@OpacityNetwork) to authenticate user claims (within a comment for example) without compromising personal data
x.com/kevinrose/stat…

3. @earnos_io proves app engagement for brand rewards while preserving privacy (@OpacityNetwork)

4. @3janexyz verifies credit data for DeFi lending (@reclaimprotocol)

5. @daisypayapp is a platform where creators earn money by engaging with brand content on social media like X and Instagram through comments, shares, and reposts. (@OpacityNetwork)

6. @zkp2p verifies @Ticketmaster data and payments for marketplaces (@reclaimprotocol)

7. @NoshDelivery piggybacks on existing networks to completely solve the bootstrap problem and get users actually using the product immediately (@OpacityNetwork)

8. @bondexapp verifies work history proofs for job applications (@reclaimprotocol)

9. @daylightenergy_ verifies energy device ownership without exposing personal data (@OpacityNetwork)

10. @OpacityNetwork enables verifiable AI inference from APIs like @OpenAI @AnthropicAI and @hyperbolic_labs (you can prove that the output was created by the LLM human generated)

If you want to learn more about zkTLS, check out:

1. This video
x.com/dabit3/status/…

2. This post from @paramonoww (and image credits to him)
x.com/paramonoww/sta…

zkTLS (and the products mentioned above) is one of the ~25 verticals of software being built on @eigenlayer.Image
Image
@madhavanmalolan @Euler__Lagrange @OpacityNetwork @reclaimprotocol If you're interested in building your product, app, or service on EigenLayer and want to learn how we can assist, reach out to us any time: share.hsforms.com/1BksFoaPjSk2l3…

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More from @dabit3

Jan 4
AI Agent Demo Days Episode 2

13 agent demos split into bite-size videos. Each team breaks down their agent architecture.

1. Starting with @yq_acc and @0xautonome

Autonome is a no-code platform for launching verifiable AI agents on @eigenlayer that allows users to quickly deploy agents using frameworks like @ai16zdao Eliza with just a few clicks, while being secured by TEE and AVS technology.

@yq_acc demonstrates the platform by showing how users can create agents, configure their Twitter and Telegram integrations, and manage prompts and character files through a simple dashboard interface.
2. @interchainriley and @echosdotfun

Echos is a dedicated rollup for agentic finance.

Anyone can launch their own agent on the Echos platform that settles to Base and uses @celestia w/ dedicated @x support and its own wallet, which it can use to trade tokens on Echos' native DEX.
3. @Jamie_Alethieum building @aiwscloud

@aiwscloud is an infrastructure platform that enables AI agents to deploy themselves onto decentralized compute instances and pay for their own computational resources using tokens.

@Jamie_Alethieum demonstrates this by showing how
@joi_AI_ could deploy itself to its own cloud instance, purchase aiws tokens to pay for compute, and manage its own hosting infrastructure autonomously.
Read 16 tweets
Apr 15, 2023
I've experimented 3 times with AI:

1. Built an app, gained ~ 100,000 daily users, app was acquired in less than 30 days

2. Recorded a video teaching fine-tuning GPT, over 22,000 views and around 10 job and consulting offers from it Image
3. Open sourced a GPT plugin boilerplate, 100+ stars, more job offers and opportunities

As a technologist, if you are curious, you should always be experimenting and trying out new things, chasing whatever your imagination & curiosity tells you to chase.

As my experience shows,
you do not have to be an expert to run circles around so called "experts", you just have to be an effective builder + learner.

In the past, you did need to be quite sophisticated and deep into AI to build with it, but that's no longer the case with the newer APIs, they have
Read 10 tweets
Mar 18, 2023
IMO technologies like GPT will have a disproportionate impact on the role of Developer Relations compared to other software engineering jobs.

Some things already seem obsolete, like basic explanations of technologies, and as it becomes easier to fine-tune a model, even more so.
Documentation will be automated, and probably both written and video tutorials and such will also be to some extent.

One thing that may be hard to automate completely - concise and easy to understand guides for new technologies that combine a handful of things together.
For instance combining x,y,z (where z is a completely new API or technology) to create something original and doing so in the most easy to understand way seems like it will probably need some human touch

Maybe part of DevRel is ultimately just being able to take advantage of
Read 6 tweets
Feb 26, 2023
Heading to ETH Denver 🏔 tomorrow, will be speaking at a handful of events, & will be hanging out at the @LensProtocol booth meeting devs & answering questions stop by sometime 🫡

We'll have swag + will be giving Lens handles to anyone in attendance 🌿

Here's my schedule 👇
Feb 27 I'll be at Building the New Creator Economy hosted by @Livepeer

3:00 - 3:30pm
Using the Web3 Social Stack

lu.ma/0tpq7blv
On Feb 28 I'll be giving 2 talks

Interop Summit @Interop_Summit by @axelarcore
interopsummit.com
10:15- 10:45am
Smart Contract Development with Foundry

BuidlWeek
4:35pm – 5:30pm
Building a Social App with Lens
Read 6 tweets
Jan 16, 2023
Web3 has come a long way, & there is a lot to be excited about in 2023.

So what are the tools, products, protocols, & real-world use cases that are production-ready today?

Here are 7 things to be excited about this year from the perspective of a developer of 10+ yrs:
1. Permanent storage
At AWS, S3 was one of the first - & most used + useful services.

Web3 storage solutions take managed storage a step further by introducing both immutability & permanence, something you can't get with traditional storage solutions.

This is why companies
like Instagram chose @ArweaveTeam to implement features that are simply not possible through other centralized architecture.

With newer protocols built on top of Arweave, like @BundlrNetwork @exmbuild and @warp_contracts, the barrier to entry for users and developers has gone
Read 36 tweets

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